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You could be ranking in Position 1 and still be completely invisible. I know that sounds counterintuitive. But here’s what’s actually happening: A potential customer opens ChatGPT or Perplexity and asks, “What’s the best [tool/agency/platform] for [your category]?” Your competitor gets mentioned. You don’t. Your No. 1 ranking did absolutely nothing to help you. This is the new SEO reality, and it’s catching many smart marketers off guard. LLMs synthesize consensus across multiple sources, rather than relying on a single source. This means you need corroborating mentions distributed across the web. The game has shifted from ranking to consensus, and if you don’t understand that difference, you’re already losing ground. Let me break down what’s actually happening and, more importantly, what you can do about it. From rankings to consensus: What changed and why Traditional SEO had a clear logic: rank high, get clicks, drive traffic. In this retrieval-based system, Google found pages and users chose which ones to visit. AI-driven search doesn’t work that way. Systems like Google’s AI Overviews, ChatGPT, and Perplexity are now constructing answers. They pull from dozens of sources, identify which claims appear consistently across credible publishers, and synthesize a single response. The data backs up just how significant this shift is: organic CTRs for queries featuring AI Overviews have dropped 61% since mid-2024. Even on queries without AI Overviews, organic CTRs fell 41%. Users are simply clicking less, everywhere. The technical engine behind this is retrieval-augmented generation (RAG). The AI retrieves content from across the web, gathers potentially dozens of sources, identifies the claims that repeat most consistently across credible publishers, and generates a response based on that consensus. Your goal isn’t just to publish a great page. It’s to be one of those sources. Repeatedly. Your customers search everywhere. Make sure your brand shows up. The SEO toolkit you know, plus the AI visibility data you need. Start Free Trial Get started with What the consensus layer actually is Think of the consensus layer as the degree to which multiple AI systems produce consistent, repeatable outputs about your brand. It’s about pattern recognition at scale. When AI systems encounter your brand described the same way across multiple credible sources, in the same category, with the same expertise, and with the same problems you solve, they build confidence. When they don’t see that pattern? You become a statistical outlier, and outliers get filtered out. This happens because AI systems are engineered to prevent hallucinations. Their primary defense is corroboration: if multiple independent sources say the same thing, the AI assigns higher confidence to that claim. If only one source says it, the AI can become cautious or ignore it entirely. This creates a rule most marketers haven’t fully internalized yet: isolated authority isn’t enough. You need distributed credibility. I’ve seen this firsthand. A client ranking first for a competitive keyword, with solid traffic and strong domain authority, was invisible across ChatGPT. Why? Because that page existed in isolation. No corroboration, no distributed mentions, no external validation. As Will Scott wrote: “Brands aren’t losing visibility because they dropped from position three to seven. They’re losing it because they were never cited in the AI answer at all.” Dig deeper: The infinite tail: When search demand moves beyond keywords The signals that actually build consensus So what signals do AI systems actually use? Here’s where to focus your energy. Traditional authority is table stakes, not a finish line Backlinks, domain authority, and topical depth remain foundational. But they’re no longer sufficient on their own. They get you in the game; consensus is what wins it. Unlinked brand mentions matter more than most marketers realize AI systems scan the web for brand references, even when those mentions aren’t linked. Unlinked mentions are growing in importance as signals for both traditional search and AI visibility. A mention in an industry publication with no link is still a consensus signal. Nearly 9 out of 10 webpages cited by ChatGPT appear outside the top 20 organic results for the same queries, per a Semrush study. This tells you everything you need to know about how different this game is. Publisher diversity signals broader credibility Being mentioned repeatedly on the same domain doesn’t build consensus. Being mentioned across a range of credible, independent publishers does. Diversity tells AI systems your authority isn’t contained to one corner of the web. It’s recognized broadly across your industry. Community platforms are consensus gold Reddit, Quora, and niche forums are becoming major consensus signals. AI systems increasingly pull from community discussions because they represent real user opinions and experiences. With Reddit dominating the SERPs, positive brand mentions in relevant subreddits contribute meaningfully to how AI systems perceive you. You can’t fake your way into genuine community trust, you have to earn it. Entity clarity makes retrieval easier Search engines use knowledge graphs to understand entities and how they relate to each other. If your brand is inconsistently described across platforms or your category is ambiguous, AI systems struggle to incorporate you into their answers. Structured data, schema markup, and JSON-LD are critical here. Google has explicitly stated that “structured data is critical for modern search engines.” The clearer your entity profile, the easier it is for AI to retrieve and cite you. Get the newsletter search marketers rely on. See terms. How to actually build consensus Alright, let’s get tactical. Before you start building, you need to know where you stand. Start with an LLM audit Open ChatGPT, Perplexity, Gemini, and Google AI Overviews, and start asking questions the way your customers would. “What’s the best [tool/service] for [problem you solve]?” “Who are the leading [your category] providers?” “What do people say about [your brand name]?” Pay attention to three things: Is your brand mentioned at all? If it is, is the information accurate and up to date? How are you being described relative to competitors? You may find outdated information, missing context, or, worse, a competitor owning the narrative in your category entirely. This audit becomes your baseline. It tells you what gaps to close, what misinformation to correct, and where your consensus footprint is weakest. Only once you know that, should you start building. Establish your owned media foundation Your site needs to be technically sound and semantically clear. Use structured data. Establish explicit entity definitions, who you are, what you do, and what problems you solve. Reinforce those same entities and relationships across multiple pages within your site. Topic clusters, pillar pages supported by related subtopic content, create semantic reinforcement that signals depth and expertise. Without a strong foundation, nothing else sticks. Treat earned media as consensus amplification Press coverage, guest posts, podcast appearances, and expert citations distribute your authority across the web. More than links, digital PR is now about narrative control. One placement won’t move the needle. A sustained, coordinated presence across trusted publications will. Monitor your brand-to-links ratio, unlinked mentions alongside traditional link building is now the balanced strategy to pursue. Publish original research This is the highest-leverage consensus tactic most brands are underinvesting in. When you create genuinely novel data, an industry benchmark, a proprietary survey, original research, other publishers reference it naturally, journalists cite it, and AI systems incorporate it into answers. Establish yourself as the source for benchmark data in your niche, and you’ll earn citations for years. Invest in expert-led content AI systems are trained on vast amounts of text, including articles, research, and interviews. When your team members are consistently positioned as recognized experts, quoted in articles, cited in reports, and contributing bylined pieces, they become recognized entities that AI systems trust. Optimize author profiles with structured data, consistent bylines, and entity markup to reinforce this. Participate genuinely in communities This doesn’t mean dropping links in Reddit threads. It means answering questions, contributing knowledge, and building a reputation where your audience already hangs out. When users recommend your brand organically because they find it genuinely valuable, that’s your strongest consensus signal. Dig deeper: Why surface-level SEO tactics won’t build lasting AI search visibility Measuring what actually matters now Traditional rankings tell you where you stand in search results. They don’t tell you whether AI systems are citing you. You need new metrics, and as more SEOs are recognizing, success metrics are shifting from clicks and traffic to visibility and share of voice. Start by systematically testing high-value queries across Google AI Overviews, ChatGPT, Perplexity, and Gemini. Note when your brand appears, how it’s described, and which sources get cited alongside you. Track share of voice in AI responses, how often your brand gets mentioned relative to competitors in AI-generated answers. If competitors are consistently appearing and you’re not, you’re losing the consensus battle regardless of how your rankings look. Also monitor cross-domain mention density (how many unique domains reference your brand) and entity co-occurrence (how often your brand appears alongside relevant topics, competitors, and concepts). These give you a real picture of your consensus footprint and where the gaps are. See the complete picture of your search visibility. Track, optimize, and win in Google and AI search from one platform. Start Free Trial Get started with The new SEO playbook The brands winning in AI-driven search aren’t necessarily the ones with the best content or the highest domain authority. They’re the ones building distributed credibility, authority that appears consistently across owned media, earned media, and community platforms. As Google’s Danny Sullivan said, “Good SEO is good GEO.” The fundamentals haven’t disappeared, but they’re now table stakes, not differentiators. The new formula is: authority + consensus + distribution. Integrate SEO, digital PR, and community engagement into one cohesive strategy. Building a distributed network of authority, mentions, citations, and community validation that takes time to construct, and is nearly impossible for competitors to dismantle overnight. That’s the visibility moat worth building, and the clock is ticking. Dig deeper: Content alone isn’t enough: Why SEO now requires distribution View the full article

Adobe will shut down the SEO feature in Marketo Engage at the end of March 2026, according to its February 2026 release notes. The tool will be deprecated on March 31, and you must export any existing SEO data before then. (This page includes links to the export instructions.) The SEO tile will be removed from the platform on April 1. What happened? Adobe’s Keith Gluck said deprecating low-use features lets the Marketo Engage team focus on other areas of the platform. For your SEO needs, Adobe announced in 2025 that it was acquiring Semrush, a full-featured SEO and visibility tool. (Reminder: Semrush owns Third Door Media, the publisher of Search Engine Land.) The deprecation came as no surprise if you follow Marketo news closely. Reports suggest few people fully configured the SEO tool, and its features didn’t seem to be a priority for the Marketo Engage product team in recent years. With LLMs rapidly changing the search landscape, it was time to say goodbye. The arrival of Semrush into the Adobe family provided the perfect opportunity. View the full article

Some senior Labour figures want the party to drop promises not to rejoin customs union or single marketView the full article

Three teenagers in Tennessee sued Elon Musk’s xAI this week, claiming the company’s image-generation tools were used to morph real photos of them into explicitly sexual images. The high school students, who are seeking to proceed under pseudonyms, filed the lawsuit in California, where xAI — Musk’s artificial intelligence company — has its headquarters. They are seeking class-action status in order to represent what the lawsuit says are thousands of victims like themselves who either are minors or were minors when sexually explicit images of them were created. According to the lawsuit, Jane Doe 1 was alerted anonymously in December that someone was distributing sexually explicit images of her on a social media website. “At least five of these files, one video and four images, depicted her actual face and body in settings with which she was familiar, but morphed into sexually explicit poses,” the lawsuit states. It claims the person distributing the images knew Doe and used xAI’s image generation tools to turn real photos of her into sexually abusive ones. One of the images was taken from a homecoming photo. Another was taken from a high school yearbook. The person distributing the images also created explicit images of at least 18 other girls, two of whom are co-plaintiffs in the lawsuit. In late December, local police arrested the perpetrator and confiscated his phone. They found that he had uploaded the images to several platforms where he traded them for sexually explicit images of other minors. Other AI companies have prohibited their image-generators from producing any sexually explicit content, even of adults. Musk saw this as a business opportunity and promoted the ability of xAI’s Grok chatbot to create “spicy” content, the lawsuit claims. However, there is currently no way to prevent the generation of explicit images of adults while completely blocking the generation of images of children, the lawsuit claims. It also claims that xAI knew Grok would be able to produce sexually explicit images of children but released it anyway. The lawsuit claims the person who distributed images of the plaintiffs used an application that licensed the xAI technology or “otherwise purchased its access to Grok, and was used as a cut-out or middleman.” XAI did not respond to an email from The Associated Press seeking comment. But a Jan. 14 post about the controversy on the social media platform X said: “We remain committed to making X a safe platform for everyone and continue to have zero tolerance for any forms of child sexual exploitation, non-consensual nudity, and unwanted sexual content. “We take action to remove high-priority violative content, including Child Sexual Abuse Material (CSAM) and non-consensual nudity, taking appropriate action against accounts that violate our X Rules. We also report accounts seeking Child Sexual Exploitation materials to law enforcement authorities as necessary.” Meanwhile, the students in the lawsuit said they worry that the images created of them will live forever on the internet. They fear stalking because their real first names and the name of their school are attached to the files. They worry that their friends and classmates have seen the photos and videos, which appear to be real, and they worry about who will see them in the future. Jane Doe 1 said she has suffered from anxiety, depression, stress. “She has difficulty eating and sleeping and suffers from recurring nightmares,” the lawsuit states. Jane Doe 2 “has begun self-isolating and avoiding being on her school campus, and even dreads attending her own graduation.” Jane Doe 3 suffers from constant fear and anxiety that someone will see the AI-generated images and recognize her face, according to the lawsuit. —Travis Loller, Associated Press View the full article

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. The Beats Powerbeats Pro 2 launched in February 2025 at $249.99, putting them in direct competition with the AirPods Pro 2. They’re currently down to $99.99 on Woot—a $150 drop, or about 60% off—and the lowest price recorded so far, according to price trackers. The deal is expected to last three days or until the stock runs out. Shipping is free for Prime members (or $6 otherwise), but Woot does not deliver to Alaska, Hawaii, or P.O. box addresses. Beats Powerbeats Pro 2 $99.99 $249.99 Save $150.00 Get Deal Get Deal $99.99 $249.99 Save $150.00 These are built for workouts first, and you can feel that in the design. The nickel-titanium alloy ear hooks curve around your ears and stay put, whether you’re running, lifting, or just moving around a lot, without that rigid, over-tight feeling some sports earbuds have. Plus, you get four ear tip sizes, which help create a proper seal for active noise cancellation and better sound. There’s also a transparency mode, which is useful if you run outdoors and need to hear traffic. As for the controls, the Powerbeats 2 Pro have physical buttons on each earbud, which makes them easier to use mid-workout when your hands are sweaty. They’re rated IPX4, so sweat or a bit of rain isn’t going to be an issue. Getting them up and running is straightforward, and if you want a step-by-step walkthrough, Lifehacker has a detailed guide that covers how to set up and fine-tune every feature on the Powerbeats Pro 2. Sound-wise, they lean toward a punchier, bass-forward profile, which works well if your playlists are heavy on hip-hop or electronic music, but might feel a little too thumpy if you prefer something flatter. And since there’s no equalizer, you’re stuck with the default tuning. The heart rate tracking sounds like a nice bonus, but it doesn’t always stay consistent, especially if your phone is juggling music and workout apps at the same time, according to our senior health editor, Beth Skwarecki. On the plus side, you get around eight to 10 hours on a single charge, and the case stretches that to roughly 45 hours, so you’re not constantly thinking about battery life. Our Best Editor-Vetted Tech Deals Right Now Apple AirPods 4 Active Noise Cancelling Wireless Earbuds — $148.99 (List Price $179.00) Apple iPad 11" 128GB A16 WiFi Tablet (Blue, 2025) — $299.00 (List Price $349.00) Sony WH1000XM6- Best Wireless Noise Canceling Headphones — $398.00 (List Price $459.99) Apple Watch Series 11 (GPS, 42mm, S/M Black Sport Band) — $299.00 (List Price $399.00) Blink Video Doorbell Wireless (Newest Model) + Sync Module Core — $35.99 (List Price $69.99) Ring Indoor Cam Plus 2K Wired Security Camera (White) — $39.99 (List Price $59.99) Fire TV Stick 4K Max Streaming Player With Remote — $34.99 (List Price $59.99) Deals are selected by our commerce team View the full article

If your law firm’s referrals aren’t converting, validation may be the problem. Referred prospects don’t go straight from recommendation to contact. They research, compare, and verify what they were told — on your website, in search results, and through AI tools. These are your highest-value leads — pre-sold through trusted recommendations and expected to be your easiest conversions. But when that validation falls short, even they lose momentum. This is the referral validation gap: the moments during online research when trust is broken rather than built. Here’s where referral validation fails and how to fix it. While this article focuses on law firms, the same dynamics apply to any referral-based business. The four types of referral validation failure Referral loss follows predictable patterns — and once you can spot them, you can fix them. Credibility gaps: When your digital presence doesn’t match the expectations set by the referral. Specificity gaps: When your content doesn’t reflect the specific problem the prospect was referred for. Authority gaps: When third-party or AI validation fails to confirm your expertise. Friction gaps: When prospects are ready to act but encounter unnecessary barriers to conversion. 1. Credibility gaps In under three seconds, a website visitor forms a first impression. If your site doesn’t immediately validate what the referrer said about you — if it looks outdated, generic, or fails to showcase the specific expertise they praised — that trust becomes conditional. A referred prospect arrives expecting professionalism, confidence, and authority, only to encounter uncertainty. Thin attorney bios, generic claims (“experienced,” “trusted,” “results-driven”) without proof, or outdated design can all create hesitation. The referral earned you consideration. Your digital presence determines what happens next. The prospect’s reaction is simple: This doesn’t look like what I was expecting. That moment of doubt is often enough to end the process. What you can do about it Implement practice area-specific landing pages with targeted H1s, schema markup for your specialties, and prominent visual trust signals (credentials, case results, awards) above the fold. Ensure mobile page speed stays under two seconds with Core Web Vitals optimization. Your customers search everywhere. Make sure your brand shows up. The SEO toolkit you know, plus the AI visibility data you need. Start Free Trial Get started with 2. Specificity gaps Referrals are almost always problem-specific. The website they’re referred to rarely is. Imagine a prospect referred for a complex custody dispute lands on a homepage about “family law.” A business owner referred for a ground lease negotiation sees “commercial real estate services.” Nothing is technically wrong. But nothing confirms the recommendation. When a site fails to mirror the exact issue that prompted the referral, the prospect starts to question it: Does this firm actually specialize in my problem, or was the referral overstated? At the same time, prospects are actively looking for proof — case results, credentials, relevant experience. If that evidence is buried, disconnected, or requires more than two clicks to find, momentum drops quickly. What you can do about it Create practice area-specific case study pages with structured data markup. Implement FAQ schema tied to common referral scenarios. Ensure content directly reflects the search intent behind the referral, and use internal linking to guide visitors from homepage → specific expertise → proof points within two clicks. 3. Authority gaps Referral prospects are asking questions like: “Is this firm actually good at complex custody cases?” or “Do they have experience with ground lease negotiations in New York?” — increasingly through AI search tools. If AI tools can’t find credible, structured information on your site to validate the referral, they won’t confirm it. And if competitors provide clearer answers, those are the sources AI will surface. This creates an immediate form of negative validation. The prospect starts to question the recommendation: If they’re so good, why aren’t they showing up here? If a competitor has invested in content that’s structured for citation, the AI will quote them, reference their work, and position them as the authority, even though the prospect came to you through a trusted referral. You can’t claim authority. AI systems will either confirm or contradict it. What to do about it Forward-thinking firms are now monitoring a new metric: AI search share of voice — the percentage of relevant AI-generated answers that mention or cite your firm compared to competitors. Start by: Identifying the 10-15 questions prospects most commonly ask about your practice areas. Running those queries regularly through ChatGPT, Perplexity, and Google AI Overviews. Documenting which firms appear, how often, and in what context. Tracking whether you’re cited as a source, mentioned, or absent entirely. If your firm’s content, credentials, and case results aren’t structured for AI parsing and citation, you’re invisible in these crucial validation moments regardless of how strong the initial referral was. Once you’ve identified where your competitors are outperforming you, create in-depth topic clusters around your specialties, and build authoritative content that answers the questions prospects ask AI tools. 4. Friction gaps Friction gaps occur after trust has already been established, but conversion still hasn’t happened. Common examples include: No obvious next step above the fold. Forms that are difficult to complete on mobile. No immediate way to call, text, or book. At this stage, prospects are ready to act. But any delay introduces doubt and gives them time to reconsider or move on. You’ve earned the referral. Your site validated your expertise. The prospect is ready to hire you — but can’t quickly figure out how to take the next step. This is the final failure point in the referral validation gap: when a motivated, pre-sold prospect abandons because the conversion path is unclear, inconvenient, or unnecessarily complicated. You need to remove every obstacle between “I want to hire this firm” and “I’ve made contact.” What to do about it A referred prospect should be able to answer these questions within three seconds of landing on any page: How do I contact this firm right now? What happens when I do? Is this going to be easy or painful? Test it yourself: open your site on your phone and start a timer. Can you initiate contact within a few seconds without scrolling? Try it from a homepage, attorney bio, and practice area page. If the answer is no, you’re losing prospects at the finish line. Get the newsletter search marketers rely on. See terms. Your roadmap to close the referral validation gap Closing the referral validation gap doesn’t require a complete digital overhaul on day one. Strategic, phased implementation will allow you to see quick wins while building toward comprehensive optimization. Let’s look at the steps you can take. Quick wins: Remove immediate friction These are some changes that require minimal investment but can immediately reduce referral abandonment: Adding a prominent click-to-call button in mobile header (and ensuring that it’s visible without scrolling). Testing form completion on mobile devices and reducing any fields to essential only. Ensuring page load speed under two seconds on mobile (test via PageSpeed Insights). Verifying that “Contact Us” is visible on every page without scrolling. Adding a secondary CTA option (for example, many prospects prefer “Schedule Consultation” over “Contact”). Testing that your firm’s phone number is clickable on mobile across entire site. Medium-term: Build validation infrastructure These initiatives can require more investment but, over time, can generate a sustainable competitive advantage: Creating dedicated landing pages for each significant practice area. Structuring each page with: a specific H1 tag, a detailed service description, any relevant credentials, relevant case results, an FAQ section, and a clear CTA. Implementing schema markup (e.g., LegalService, Attorney, and FAQPage) on each landing page. Building out an internal linking strategy that guides visitors from homepage → specific expertise → proof points in two clicks maximum. Developing 3-5 detailed case studies per practice area (these can be anonymized where required). Writing blog posts that address the specific questions prospects ask during the research phase. Ensuring all content includes author attribution with credentials to build E-E-A-T signals. Long-term: Dominate AI search validation These strategic initiatives can position your firm for sustained advantage in an AI-driven search environment: Creating entity-based content that AI models can parse and cite (e.g., detailed attorney bios, practice area guides, or legal topic explanations). Developing topic clusters: pillar pages for major practice areas with supporting cluster content that addresses related queries. Optimizing content for the natural language queries that prospects ask AI tools. Building citation-worthy resources such as comprehensive guides, state-specific legal explanations, and process walkthroughs. Identifying 15-20 high-value queries prospects use to validate referrals. Monitoring how your firm appears in ChatGPT, Perplexity, and Google AI Overview responses monthly. Tracking competitor mentions and citation patterns. Adjusting content strategy based on AI search visibility gaps. But, most importantly, don’t let this roadmap overwhelm you. The firms that successfully close the referral validation gap don’t do it by accomplishing everything all at once. Instead, they start with a single, crucial decision: acknowledging that the gap exists. And then they take the first step to fix it. Once you accept that your best leads are researching you — on your website and through AI tools — and making judgments based on what they find (or don’t find), your path forward for fixing that gap will become clear. See the complete picture of your search visibility. Track, optimize, and win in Google and AI search from one platform. Start Free Trial Get started with 2026 is your firm’s inflection point Prospects are getting their answers without ever visiting your website. The gap between digital presence and digital authority is widening — and for firms that wait, it becomes unbridgeable. Closing the referral validation gap isn’t just about improving conversion rates. It means: Capitalizing on your highest-value leads. Reducing customer acquisition costs. Building a compounding advantage. Creating momentum in an AI-driven search environment. Firms that master this will pull ahead. Those that don’t will watch their best leads slip away — one validation failure at a time. A referral gets you consideration. Your digital presence determines what happens next. Closing the referral validation gap turns trust into conversion. View the full article

Investigation follows failure of Mayfair-based lender and linked companies owned by founder Paresh RajaView the full article

Iran defiantly insisted Friday that it would deny its enemies their security and that it was still building missiles nearly three weeks into U.S.-Israeli strikes that have killed a slew of Tehran’s top leaders and hammered its weapons and energy industries. Iran fired on Israel and energy sites in neighboring Gulf Arab states as many in the region marked one of the holiest days on the Muslim calendar. With little information coming out of Iran, it was not clear how much damage its arms, nuclear or energy facilities have sustained since the war began Feb. 28 or even who was truly in charge of the country. But Iran has showed it is still capable of attacks that are choking off oil supplies and scrambling the global economy, raising food and fuel prices far beyond the Middle East. The U.S. and Israel have given a wide range of objectives in the conflict, from hoping to foment an uprising that topples Iran’s leadership to eliminating its nuclear and missile programs. There have been no public signs of any such uprising and it’s not clear what capabilities Iran retains, and so it remains unclear how or when the war will end. Iran remains defiant despite weeks of attacks U.S. and Israeli leaders have said that weeks of strikes have decimated Iran’s military. Airstrikes have also killed its supreme leader, the secretary of Iran’s Supreme National Security Council and a raft of other top-ranking military and political leaders. On Thursday, Israeli Prime Minister Benjamin Netanyahu claimed Iran’s navy was sunk and its air force in tatters, while adding that its ability to produce ballistic missiles had been taken out. But the country’s paramilitary Revolutionary Guard insisted in comments released Friday that they were still in production. “We are producing missiles even during war conditions, which is amazing, and there is no particular problem in stockpiling,” spokesman Gen. Ali Mohammad Naeini was quoted as saying in Iran’s state-run IRAN newspaper. Naeini added that Iran had no intention of seeking a quick end to the war. “These people expect the war to continue until the enemy is completely exhausted,” he said. Underscoring the tremendous pressure Iran’s leadership is under, a short time after the statement was released, Iranian state television said Naeini was killed in an airstrike. The country’s new Supreme Leader Ayatollah Mojtaba Khamenei also released a rare statement, saying Iran’s enemies need to have their “security” taken away. Khamenei hasn’t been seen since he succeeded his father, the 86-year-old Ayatollah Ali Khamenei, who was killed in an Israeli airstrike on the first day of the war. A refinery comes under attack in Kuwait and explosions shake Dubai Iran has stepped up its attacks on energy sites in Gulf Arab states after Israel bombed Iran’s massive South Pars offshore natural gas field earlier in the week. Two waves of Iranian drones attacked a Kuwaiti oil refinery early Friday, sparking a fire. The Mina Al-Ahmadi refinery, which can process some 730,000 barrels of oil per day, is one of the largest in the Middle East. It was damaged Thursday in another Iranian attack. Bahrain’s Interior Ministry said a fire broke out after shrapnel from an intercepted projectile landed on a warehouse, and Saudi Arabia reported shooting down multiple drones targeting its oil-rich Eastern Province. Heavy explosions shook Dubai as air defenses intercepted incoming fire over the city, where people were observing Eid al-Fitr, the end of the holy Muslim fasting month of Ramadan. In Iran, meanwhile, many were marking Nowruz, the Persian new year — even as Israel said it had launched new strikes, and explosions were heard over Tehran. Loud explosions could also be heard in Jerusalem after the Israeli army warned of incoming Iranian missiles. In addition to steadily striking Iran, Israel has regularly hit Lebanon, targeting Iran-backed Hezbollah militants. On Friday, it broadened its attacks to Syria, saying it hit infrastructure there in response to what it described as attacks on the minority Druze population in southern Sweida province. Syria’s state-run SANA news agency did not immediately acknowledge the attack. More than 1,300 people have been killed in Iran during the war. Israeli strikes in Lebanon have displaced more than 1 million people, according to the Lebanese government, which says more than 1,000 people have been killed. Israel says it has killed more than 500 Hezbollah militants. In Israel, 15 people have been killed by Iranian missile fire. Four people were also killed in the occupied West Bank by an Iranian missile strike. At least 13 U.S. military members have been killed. The war is raising risks to the world economy Iran’s attacks on energy infrastructure in the Gulf combined with its stranglehold on shipping in the Strait of Hormuz, a strategic waterway through which a fifth of the world’s oil and other critical goods are transported, has raised concerns of a global energy crisis. Brent crude oil, the international standard, has soared during the fighting, and was around $107 in morning trading on Friday, up more than 47% since the start of the war. Surging fuel prices come at a moment when many world leaders were already struggling to bring down high prices on food and many consumer goods. Asia is getting hit the hardest as most of the oil and gas exiting the Strait of Hormuz is transported there. But the price shocks are reverberating throughout the world economy. Key raw materials — like helium used in making computer chips and sulfur, a raw material in fertilizer — have been obstructed and could be in short supply soon, raising the prices of goods all the way down the supply chain. Rising reported from Bangkok. Associated Press writers Giovanna Dell’Orto in Miami and Sam Mednick in Jerusalem contributed to this report. —Jon Gambrell and David Rising, Associated Press View the full article

Agency’s head Fatih Birol says recovery of oil and gasfields in Gulf region could take more than six monthsView the full article

Shares in Super Micro Computer (Nasdaq: SMCI) are falling off a cliff this morning after news that the U.S. Department of Justice (DOJ) has charged the company’s cofounder and two other associates with conspiring to deliver restricted AI technology to China. Here’s what you need to know. What’s happened? On Thursday, the U.S. Attorney’s Office for the Southern District of New York announced that it was charging three men with ties to Super Micro Computer (aka Supermicro) for export-control violations related to AI technology. The three individuals, the DOJ alleges, conspired “to divert high-performance computer servers assembled in the United States and [integrated] sophisticated U.S. artificial intelligence technology to China.” The DOJ’s indictment did not specifically name Supermicro as the company that the men worked for, but listed one of the alleged conspirators as Yih-Shyan Liaw, who cofounded the server maker more than 30 years ago and currently sits on the company’s board of directors. Another of the two men was a direct employee of Super Micro Computer, and the third was a contractor. In a brief statement, Supermicro confirmed that the three individuals named in the indictment were connected to the company and that the two who are employees have been placed on administrative leave, while the contractor was fired. The DOJ alleges that for several years, the three individuals sent “massive quantities of servers with controlled U.S. artificial intelligence technology” to China via a scheme in which Supermicro’s servers were first shipped to an unnamed Southeast Asian company, where they were repackaged and sent on to China. The DOJ does not specify which restricted AI technology was sent to China under the scheme, but the Wall Street Journal reports that the servers contained AI chips made by Nvidia, which are subject to tight export controls due to national security concerns. A significant portion of Supermicro’s business involves manufacturing servers with Nvidia’s most powerful AI chips inside. How have Supermicro and Nvidia responded? Super Micro Computer issued a brief statement confirming that the three individuals alleged to have taken part in the scheme were connected to the company, confirming that the individuals were a member of the company’s board of directors, a sales manager, and a contractor. “Supermicro has placed the two employees on administrative leave and terminated its relationship with the contractor, effective immediately,” the company stated. “The conduct by these individuals alleged in the indictment is a contravention of the Company’s policies and compliance controls, including efforts to circumvent applicable export control laws and regulations.” The company also emphasized that it was not named as a defendant in the DOJ’s indictment and that it “has been cooperating fully with the government’s investigation and will continue to do so.” While Nvidia was not named in the indictment, a company spokesperson issued a brief statement (via Reuters), saying it continues to work closely with the government and its customers to comply with export regulations. “Unlawful diversion of controlled U.S. computers to China is a losing proposition across the board—NVIDIA does not provide any service or support for such systems, and the enforcement mechanisms are rigorous and effective,” the spokesperson said. How has SMCI stock reacted to the news? Horribly. As of the time of this writing, in premarket trading, SMCI shares are down nearly 27% to $22.56 apiece. Yesterday, the company’s share price closed at $30.79. That massive drop represents one of the steepest one-day drops the company’s shares have experienced. Of course, the question remains why the company’s shares are dropping so precipitously given that Supermicro is not named as a defendant. The most likely reason for the dramatic fall in SMCI stock is that investors are still digesting the news, and that news is leading to fears there may be more governmental scrutiny of the company and its operations in the months ahead, which could impact the company’s operations or revenues. With today’s stock price fall, SMCI shares have now given up all of their 2026 gains and are now firmly in the red. Over the past 12 months, SMCI shares have now lost more than half of their maximum value. In July 2025, SMCI shares were trading at above $62 each. View the full article

In SEO Pulse: Google opens Personal Intelligence to free users, Illyes clarifies crawl limits, and new data adds context to AIO and traffic trends. The post Google AI Mode Goes Personal, Crawl Limits Clarified – SEO Pulse appeared first on Search Engine Journal. View the full article

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. Apple’s MagSafe Duo Charger has always been a bit of a specific-use accessory, but this drop to $79 makes it easier to justify if you live inside Apple’s ecosystem. That price is the lowest tracked so far (according to online price trackers), down from its usual $129 on Amazon and below its previous low of $89. The deal is live on Woot for the next three days or until it sells out. Shipping is free for Prime members; otherwise, it’s a $6 fee, and Woot won’t ship to Alaska, Hawaii, or P.O. boxes. Apple MagSafe Duo Charger Wireless Charger Compatible with iPhone, AirPods and Apple Watch. $79.00 at Woot $129.00 Save $50.00 Get Deal Get Deal $79.00 at Woot $129.00 Save $50.00 The charger is split into two pads joined by a hinge. One side snaps your iPhone into place with MagSafe, saving you from fiddling to find the right position, especially on a bedside table where you might reach for your phone half-asleep and want it to line up again without fuss. The other side handles your Apple Watch and can double as a flat pad for AirPods or any Qi-compatible device. It’s the kind of setup that works best at the end of a long day. You drop your phone and watch on it, and you’re done. The whole thing folds into a small square, so it’s easy to carry if you travel or just don’t want cables everywhere, notes this PCMag review. That said, this is not a full charging kit—Apple includes a USB-C to Lightning cable in the box, but you’ll need to buy a 20W USB-C power adapter separately to get the intended charging speeds. Charging is also slower than plugging your phone in, so this is more of an overnight solution than something you rely on during the day. You also have space for only two devices, which feels limiting if you’re trying to charge multiple items at once. And unlike newer charging stands, this doesn’t prop your phone up for notifications or standby mode. Our Best Editor-Vetted Tech Deals Right Now Apple AirPods 4 Active Noise Cancelling Wireless Earbuds — $148.99 (List Price $179.00) Apple iPad 11" 128GB A16 WiFi Tablet (Blue, 2025) — $299.00 (List Price $349.00) Sony WH1000XM6- Best Wireless Noise Canceling Headphones — $398.00 (List Price $459.99) Apple Watch Series 11 (GPS, 42mm, S/M Black Sport Band) — $299.00 (List Price $399.00) Blink Video Doorbell Wireless (Newest Model) + Sync Module Core — $35.99 (List Price $69.99) Ring Indoor Cam Plus 2K Wired Security Camera (White) — $39.99 (List Price $59.99) Fire TV Stick 4K Max Streaming Player With Remote — $34.99 (List Price $59.99) Deals are selected by our commerce team View the full article

SEO has moved past shortcuts and quick wins. What drives results now isn’t just content — it’s content that earns attention, builds trust, and converts. Storytelling plays a direct role in that. Used well, it can improve engagement signals, strengthen relevance, and turn traffic into action. Here are seven storytelling techniques to apply in your business blog. 7 storytelling techniques that drive engagement and conversions Use these to shape how your content flows, from the opening hook to the final call to action. 1. Hook the reader T.S. Eliot put it simply: “If you start with a bang, you won’t end with a whimper.” Many modern authors recommend starting a story in the middle of the action and letting readers catch up. But how does that apply when you’re writing a B2B or B2C blog? You can still hook your reader, just with different techniques: Challenge a commonly held belief: “The E-E-A-T model is flawed.” Start with a narrative: It doesn’t have to be a literal “Once upon a time.” Use a statistic: “Google has 89.9% of search engine market share worldwide.” Make a promise: “Would you like to write business blogs that drive organic traffic, and convert visitors to customers?” Empathize with a reader’s problems: “Do you struggle with writing business content your customers would actually want to read?” Use a quote that epitomizes what you want to say. Don’t be afraid to combine these techniques in your blog posts. If you struggle with what to come up with, a success story is always a great way to begin a B2B blog. Empathizing with a reader’s issues, then promising a solution, works for both B2B and B2C blogs. Your customers search everywhere. Make sure your brand shows up. The SEO toolkit you know, plus the AI visibility data you need. Start Free Trial Get started with 2. Make promises and deliver on them Stories are full of foreshadowing: hints that something’s going to happen, language that immerses the reader in the genre, and elements that build suspense. To get a reader excited about your blog, build suspense with the same techniques. Use phrases like “You will learn…” or “You will discover…,” tell them what you’re going to tell them, and use compelling language throughout. This is particularly important the first time you mention a keyword. Why? Because regardless of what you write for a meta description, Google often ignores it and uses text from the page instead — most commonly where a keyword is first mentioned. If this is part of a promise stating what your article, product, or business solution will deliver, this will improve your CTR. Dig deeper: 5 behavioral strategies to make your content more engaging 3. Talk to your reader directly Fiction writers spend a lot of time debating whether to write in first person (I/me) or third person (they/he/she). You have the option of the second person (you), but don’t always take full advantage of it. Using “you” rather than “our” can make your content feel more direct and personal. Consider which of these resonates with you most strongly: “We help our customers to…” “We will help you to…” While “you” is important, another largely overlooked word is “my,” at least when it comes to calls to action (CTAs). In a story, you imagine yourself as the hero. In a business blog, using “my” evokes the same feeling — this action is meant for you. It won’t work for every CTA, so experiment with it, monitor the results, and you may be surprised by the outcome. 4. Kill your darlings Authors are sometimes told to “kill your darlings,” meaning to remove extraneous characters or even whole chapters. Your blog must do the same. For each paragraph, ask yourself if it achieves one of the following: Advances the argument: Not just repeats it, but moves it forward or introduces new elements. Engages the reader: Keeps your reader wanting to know more by building empathy, using stories of success or failure, or clarifying your answer with engaging visuals. Persuades the reader: Blogs primarily target top-of-funnel, informative content. However, as you answer readers’ questions and educate them, you can move further down the funnel and include content aimed at converting. This is where you add your CTAs — whether forms to download an in-depth guide, recommended products that solve a problem, or other CTAs. If a paragraph doesn’t advance, engage, or persuade, ask yourself if you can delete it. Dig deeper: How to align your SEO strategy with the stages of buyer intent Get the newsletter search marketers rely on. See terms. 5. Show don’t tell If a potential customer relates to the problem you describe, you’re off to a good start. If they can imagine using your product or service, you’re halfway there. Not every blog needs to present a solution. But if your blog convinces readers they need your solution, it will increase conversions. Avoid being heavy-handed with commercial content. Show both the pain your readers face and the solution to move them along the buying journey. 6. Consider a three-act structure Author Jessica Brody puts it this way: “Act 2 is the opposite of Act 1. If Act 1 is the thesis — the status quo world — then Act 2 is the upside-down version of that. The polar opposite. The inverse. The antithesis.” To fully embrace storytelling in your blog, create a three-act story. Here’s one way you could achieve this: Act 1: Introduce a widely used approach and begin by defining what it is and its strengths. Sow seeds of doubt by stating it can go horribly wrong, has flaws, or won’t work for everyone. Give an indication of what to expect in Acts 2 and 3. Act 2: Who does this approach fail for? What assumptions does it make that are inherently flawed? Give examples of when it fails. Include tales of misfortune, when using the approach went wrong. The middle of a story is often dark, and this is where your business blog turns bleak. Act 3: What’s an alternative solution? Why does this fix the inherent flaws explored in Act 2? Give a real-life example where this solution succeeded, and give your story a happy ending. Dig deeper: How to apply ‘They Ask, You Answer’ to SEO and AI visibility 7. Edit your business blog Even professional authors say some version of “Your first draft will suck.” Don’t expect perfection when you start writing. You have the luxury of revising your work. Once you finish your first draft of your business blog, you know what you want to say, along with the structure and main points. Editing is where you decide how to say it. What will appeal most to your audience? What’s the best hook? What CTA fits this post? When you’ve finished editing, you’ll have a polished blog that tells a story, engages your reader, and generates conversions. See the complete picture of your search visibility. Track, optimize, and win in Google and AI search from one platform. Start Free Trial Get started with Content quality shows up in performance These techniques make your content more effective, and their impact shows up in performance. Evaluate content using measurable outcomes to reduce subjectivity and ensure it supports your business goals. As you experiment with storytelling in your business blog, measure: Organic traffic Keyword rankings Click-through rate (CTR) Time on page Conversions You can measure the first three in Google Search Console. You can measure the last two in Google Analytics. These metrics give you concrete data to compare content and assign financial value. With experimentation, you won’t just tell a better story — you’ll drive measurable traffic and conversions. View the full article

The latest PPC Pulse highlights Microsoft’s bidding updates, Google’s expanded creative tools, and Nano Banana Pro’s availability inside Google Ads. The post Google Ads Creative Tools Expand, Microsoft Simplifies Bidding – PPC Pulse appeared first on Search Engine Journal. View the full article

A customer feedback loop is a systematic approach that helps businesses gather, analyze, and act on customer insights. It plays an essential role in shaping products and services. By actively listening to customer feedback, companies can build trust, reduce churn, and encourage growth. Comprehending the stages of this loop can lead to significant improvements. Nevertheless, how exactly does this process work, and what impact can it have on your business’s success? Key Takeaways A customer feedback loop is a structured process for collecting, analyzing, and acting on customer insights to improve products and services. It comprises four stages: collecting feedback, analyzing insights, implementing changes, and reporting back to customers. Companies that actively listen to customer feedback experience 41% faster growth than their competitors. Ignoring customer feedback can lead to significant financial losses, costing businesses up to $887 billion annually. Closing the feedback loop nurtures trust, enhances customer loyalty, and encourages ongoing engagement with the brand. Understanding the Concept of a Customer Feedback Loop A customer feedback loop is a structured process that continuously gathers, analyzes, and acts on customer insights to improve products and services. This loop consists of four key stages: collecting feedback, analyzing it for insights, implementing changes based on findings, and reporting back to customers about the actions taken. By utilizing various collection methods such as surveys, social listening, and direct interactions, businesses can guarantee a thorough comprehension of user sentiment and pain points. Companies that actively listen to customer feedback grow 41% faster than their competitors, highlighting the importance of this customer feedback loop. Closing the loop by informing customers of changes made based on their input nurtures trust and encourages continued engagement. This eventually amplifies customer loyalty and satisfaction, guaranteeing that businesses remain aligned with evolving customer needs. The Importance of Customer Feedback Comprehending customer feedback plays a crucial role in shaping successful business strategies. Customer feedback is fundamental for enhancing products and services, as businesses that actively listen to customer insights grow 41% faster than their competitors. When you prioritize feedback, you not just identify gaps in customer experience but additionally receive actionable suggestions for improvement. This is crucial, especially since 56% of dissatisfied customers leave without voicing their concerns. By implementing a structured customer feedback loop, you can greatly reduce churn and cultivate trust and loyalty among consumers, who are often willing to pay a premium for trusted brands. Regularly collecting and acting on customer feedback leads to substantial revenue increases, revealing considerable growth potential. In the end, businesses that make customer feedback a priority are more likely to thrive in a competitive setting, as they align their offerings with real customer needs and preferences. Stages of a Customer Feedback Loop To effectively improve customer experience, grasping the stages of a customer feedback loop is essential. The first stage involves collecting feedback from various sources, such as surveys, online reviews, and social media. This guarantees a thorough comprehension of customer sentiments. Next, you analyze that feedback for patterns and insights, employing techniques like sentiment and thematic analysis to identify recurring issues. This analysis is critical for prioritizing actionable insights that can drive product improvements. The third stage requires you to implement changes based on your analysis. Timely actions can prevent frustration and improve customer satisfaction. Finally, closing the loop involves communicating these changes back to customers, which builds trust and encourages ongoing engagement. Following these stages of a customer feedback loop effectively guarantees a robust customer feedback process, nurturing continuous improvement and strengthening your relationship with customers. Collecting Customer Feedback Collecting customer feedback is crucial for comprehending their needs and enhancing your products or services. You can use various methods, like surveys, online reviews, and live chat interactions, to gather valuable insights. Short surveys, such as Help Scout’s microsurveys, are particularly effective, as they simplify the process for customers and can lead to higher response rates. Effective Collection Methods How can businesses effectively gather customer feedback to improve their services? By implementing a robust client feedback system, businesses can utilize a variety of methods for collecting valuable insights. Consider these effective collection methods: Use surveys like Net Promoter Score (NPS) and Customer Satisfaction (CSAT) to gauge loyalty and satisfaction. Implement onsite surveys triggered by user behavior to capture immediate feedback. Leverage live chat tools for real-time support and to gather insights directly from customers. Employ always-on feedback widgets to unobtrusively collect input at any time. Conduct customer interviews and focus groups for in-depth qualitative insights. These strategies augment your feedback collection efforts, allowing you to better understand customer needs and improve services accordingly. Tools for Gathering Insights Gathering customer feedback is crucial for enhancing services and comprehending client needs. Various tools can support your customer feedback strategy, helping you collect valuable insights. Here are some effective methods: Method Description Surveys Use tools like NPS and CSAT for structured feedback. Live Chat Engage customers in real-time for immediate insights. Social Media Monitoring Track mentions and sentiments across platforms. Online Reviews Encourage and analyze feedback on review sites. Onsite Surveys Trigger surveys based on user behavior for instant feedback. Importance of Short Surveys Short surveys, like microsurveys, play an essential role in collecting customer feedback efficiently and effectively. They simplify the feedback process, making it less time-consuming and more engaging for you. Here are some key benefits of using short surveys for customer experience feedback: Increased response rates by up to 30% with surveys taking less than a minute. Immediate feedback capture at significant moments in the customer experience. Targeted insights focused on specific experiences, facilitating actionable improvements. Broader datasets that improve the reliability of feedback for decision-making. Enhanced relevance and timeliness of collected data, driving meaningful changes. Analyzing Customer Feedback Data Analyzing customer feedback data is vital for comprehending user experiences and identifying areas for improvement. This process involves identifying patterns and common issues that may reveal recurring pain points. By utilizing tools for sentiment analysis and thematic categorization, you can efficiently process large volumes of feedback, quickly pinpointing user sentiments and areas that need attention. High-quality customer feedback is characterized by specificity, relevance, and recurring patterns, providing actionable insights for product development and customer service advancements. Continuous analysis of this feedback helps prioritize improvements and feature requests that align with user needs and your business goals. Furthermore, metrics like Net Promoter Score (NPS) and Customer Effort Score (CES) can be derived from this analyzed feedback, allowing you to measure customer sentiment and the ease of resolving issues. This data-driven approach eventually drives customer satisfaction and retention, making it fundamental for a successful customer feedback loop. Implementing Changes Based on Feedback Implementing changes based on customer feedback is crucial for enhancing your products and services. By analyzing insights from your customers, you can identify actionable improvement strategies that align with their needs. Communicating these changes effectively not just builds trust but likewise encourages ongoing engagement, ensuring your business remains competitive in a swiftly evolving market. Analyzing Customer Insights Comprehending customer insights is crucial for businesses aiming to improve their offerings and overall customer experience. Analyzing feedback from clients helps identify recurring themes and pain points, guiding product teams in making informed advancements. Implementing changes based on this feedback can lead to significant improvements in customer satisfaction. Here are key aspects to reflect on: Utilize AI-driven tools for effective sentiment analysis. Prioritize actionable insights that align with customer needs. Address specific issues like long wait times or product defects. Communicate changes made based on customer feedback to promote trust. Understand that companies acting on insights see 41% faster growth. This feedback loop creates a cycle of constant improvement, eventually boosting customer retention and brand reputation. Actionable Improvement Strategies Addressing customer feedback is key to refining your business offerings and enhancing overall satisfaction. Implementing changes based on insights from your client feedback loop directly addresses pain points that might lead to customer churn. For instance, if high return rates stem from packaging issues, adjusting your materials can greatly improve customer experience. Prioritize feedback that reveals recurring problems, as companies that listen effectively can grow 41% faster than their competitors. Communicating the improvements made builds trust and encourages ongoing engagement. Utilize AI tools for sentiment analysis to categorize feedback efficiently, ensuring that meaningful insights are acted upon swiftly. This systematic approach not only boosts customer loyalty but also lays the groundwork for continuous improvement in your products and services. Closing the Feedback Loop Even though collecting customer feedback is essential, closing the feedback loop is equally important for nurturing trust and loyalty among clients. When you effectively close the feedback loop, you not just gather insights but likewise implement necessary changes based on that feedback. This proactive approach encourages customer engagement and satisfaction. Here are some key points to reflect on: Actively inform customers about changes made in response to their feedback. Studies show that 70% of customers feel more valued when they see their suggestions implemented. Closing the loop can reduce customer churn considerably. Businesses that effectively close the loop grow 41% faster than those that don’t. Regular updates on feedback status encourage customers to provide input again. Negative Feedback Loop Examples When customers express dissatisfaction, it’s crucial for businesses to recognize and address the underlying issues highlighted in their negative feedback. Negative feedback loops can reveal critical areas of dissatisfaction, such as long wait times in customer service, which, if ignored, may lead to significant customer loss. A study indicates that 56% of unhappy customers don’t voice their concerns, emphasizing the need for businesses to actively seek out and respond to negative feedback to prevent silent churn. Companies that manage negative feedback effectively can experience a 41% faster growth rate than their competitors who overlook customer insights. Addressing specific issues, like product faults or complicated return processes, can improve customer experiences and cultivate loyalty. By closing the loop on negative feedback—acknowledging problems, implementing changes, and informing customers—businesses can transform dissatisfied customers into advocates, in the end boosting their brand reputation. Positive Feedback Loop Examples Positive feedback loops play a crucial role in nurturing customer loyalty and enhancing brand reputation. When businesses actively engage with satisfied customers, they create an environment that promotes brand advocacy. Here are some positive feedback loop examples: Implementing a Net Promoter Score (NPS) system can lead to a 41% faster growth rate. Companies focusing on customer feedback often see a 10-15% boost in satisfaction and loyalty. Utilizing testimonials and case studies can drive conversion rates by up to 34%. Engaging with happy customers encourages them to share experiences on social media. Positive feedback can amplify brand visibility through online reviews and referrals. Best Practices for Effective Feedback Loops Implementing effective feedback loops is vital for organizations aiming to improve customer satisfaction and loyalty. To achieve this, you should follow best practices that guarantee feedback is collected, analyzed, and acted upon swiftly. Utilize diverse collection methods, such as surveys and social media monitoring, to capture a wide range of insights. Acknowledge feedback quickly, whether through automated responses or personalized messages, to show customers their opinions matter. Here’s a summary of key practices: Best Practices Description Collect Diverse Insights Use surveys, social media, and support tickets. Acknowledge Feedback Swiftly Respond quickly to encourage future participation. Guarantee Cross-Team Collaboration Use a shared dashboard for visibility on trends. Act Regularly on Feedback Implement changes to demonstrate responsiveness. Review Feedback Consistently Prevent value loss by analyzing feedback regularly. Incorporating these elements into your feedback loop marketing strategy will improve customer relationships and drive growth. The Impact of Feedback Loops on Business Success Feedback loops greatly impact your business success by enhancing product development, building stronger relationships with customers, and driving continuous improvement. When you actively gather and respond to customer feedback, you not only refine your offerings but additionally cultivate trust and loyalty among your clientele. This ongoing interaction creates a cycle where customer insights directly inform your strategies, ensuring that you stay competitive and responsive in a dynamic market. Enhancing Product Development To thrive in today’s competitive market, businesses must utilize the strength of customer feedback loops, which serve as vital tools for improving product development. Comprehending feedback loop meaning is fundamental; it allows you to continuously collect and analyze user feedback, leading to actionable insights. Businesses that implement feedback loops experience a 41% faster growth rate. Addressing recurring pain points improves product features. Feedback loops cultivate a culture of agility within organizations. Organizations prioritizing customer feedback see higher retention rates. Customers feel valued and heard, reducing churn. Building Stronger Relationships Building stronger relationships with customers is crucial for achieving business success, especially in today’s competitive environment. A feedback loop def is a continuous process of gathering and acting on customer insights, which helps you demonstrate to customers that their opinions matter. Companies that effectively implement feedback loops see a 41% faster growth rate, underlining the importance of customer engagement. By addressing feedback, you can improve satisfaction, reduce churn, and promote loyalty. Here’s a quick overview of the impact of feedback loops: Benefit Impact on Business Result Improved Satisfaction Increased customer loyalty Higher retention rates Trust Building Positive word-of-mouth New customer referrals Revenue Growth Meeting market demands Competitive advantage Driving Continuous Improvement Continuous improvement in business operations relies heavily on how well companies listen to and act on customer insights. By implementing a robust feedback cycle, you can drive significant improvements in your organization. Consider these key points: Companies that engage with customer feedback grow 41% faster than those that don’t. About 56% of unhappy customers leave without voicing their concerns. Ignoring feedback could cost businesses up to $887 billion annually. Closing the feedback loop cultivates trust and loyalty, leading to repeat business. High-quality, actionable feedback enhances overall customer experience. Frequently Asked Questions What Is a Feedback Loop and Why Is It Important? A feedback loop is a structured process where you collect, analyze, and act on customer feedback. It’s important as it helps you understand customer experiences and identify areas needing improvement. By actively engaging with feedback, you can address pain points, improve satisfaction, and build loyalty. Utilizing tools like surveys allows you to gather insights, ensuring your products and services evolve based on real customer input, which in the end drives your business growth and success. What Is the Purpose of Customer Feedback Loops? The purpose of customer feedback loops is to gather insights directly from your clients, allowing you to improve products and services based on their experiences. You collect feedback through surveys, reviews, and direct communication. Analyzing this data helps identify trends and areas needing attention. What Is Customer Feedback and Why Is It Important? Customer feedback is the information you receive from clients about their experiences with your products or services. It’s essential as it helps you identify strengths and weaknesses, guiding improvements. What Are the 5 Reasons Why Feedback Is Important? Feedback is vital for several reasons. First, it identifies customer pain points, helping you address issues effectively. Second, it informs product development, ensuring your offerings align with customer needs. Third, feedback nurtures customer loyalty, as clients feel valued when their opinions matter. Fourth, it improves overall satisfaction, leading to positive word-of-mouth. Finally, feedback supports continuous improvement, allowing you to adapt and thrive in a competitive market, ultimately driving business success. Conclusion In conclusion, a customer feedback loop is crucial for any business aiming to improve its products and services. By systematically gathering and analyzing feedback, you can make informed changes that resonate with your customers. This process not merely builds trust but additionally improves customer retention and supports sustainable growth. Implementing best practices for feedback loops can greatly impact your business’s success, ensuring that you stay aligned with customer needs and expectations in a competitive market. Image via Google Gemini This article, "What Is a Customer Feedback Loop and Why Does It Matter?" was first published on Small Business Trends View the full article

A customer feedback loop is a systematic approach that helps businesses gather, analyze, and act on customer insights. It plays an essential role in shaping products and services. By actively listening to customer feedback, companies can build trust, reduce churn, and encourage growth. Comprehending the stages of this loop can lead to significant improvements. Nevertheless, how exactly does this process work, and what impact can it have on your business’s success? Key Takeaways A customer feedback loop is a structured process for collecting, analyzing, and acting on customer insights to improve products and services. It comprises four stages: collecting feedback, analyzing insights, implementing changes, and reporting back to customers. Companies that actively listen to customer feedback experience 41% faster growth than their competitors. Ignoring customer feedback can lead to significant financial losses, costing businesses up to $887 billion annually. Closing the feedback loop nurtures trust, enhances customer loyalty, and encourages ongoing engagement with the brand. Understanding the Concept of a Customer Feedback Loop A customer feedback loop is a structured process that continuously gathers, analyzes, and acts on customer insights to improve products and services. This loop consists of four key stages: collecting feedback, analyzing it for insights, implementing changes based on findings, and reporting back to customers about the actions taken. By utilizing various collection methods such as surveys, social listening, and direct interactions, businesses can guarantee a thorough comprehension of user sentiment and pain points. Companies that actively listen to customer feedback grow 41% faster than their competitors, highlighting the importance of this customer feedback loop. Closing the loop by informing customers of changes made based on their input nurtures trust and encourages continued engagement. This eventually amplifies customer loyalty and satisfaction, guaranteeing that businesses remain aligned with evolving customer needs. The Importance of Customer Feedback Comprehending customer feedback plays a crucial role in shaping successful business strategies. Customer feedback is fundamental for enhancing products and services, as businesses that actively listen to customer insights grow 41% faster than their competitors. When you prioritize feedback, you not just identify gaps in customer experience but additionally receive actionable suggestions for improvement. This is crucial, especially since 56% of dissatisfied customers leave without voicing their concerns. By implementing a structured customer feedback loop, you can greatly reduce churn and cultivate trust and loyalty among consumers, who are often willing to pay a premium for trusted brands. Regularly collecting and acting on customer feedback leads to substantial revenue increases, revealing considerable growth potential. In the end, businesses that make customer feedback a priority are more likely to thrive in a competitive setting, as they align their offerings with real customer needs and preferences. Stages of a Customer Feedback Loop To effectively improve customer experience, grasping the stages of a customer feedback loop is essential. The first stage involves collecting feedback from various sources, such as surveys, online reviews, and social media. This guarantees a thorough comprehension of customer sentiments. Next, you analyze that feedback for patterns and insights, employing techniques like sentiment and thematic analysis to identify recurring issues. This analysis is critical for prioritizing actionable insights that can drive product improvements. The third stage requires you to implement changes based on your analysis. Timely actions can prevent frustration and improve customer satisfaction. Finally, closing the loop involves communicating these changes back to customers, which builds trust and encourages ongoing engagement. Following these stages of a customer feedback loop effectively guarantees a robust customer feedback process, nurturing continuous improvement and strengthening your relationship with customers. Collecting Customer Feedback Collecting customer feedback is crucial for comprehending their needs and enhancing your products or services. You can use various methods, like surveys, online reviews, and live chat interactions, to gather valuable insights. Short surveys, such as Help Scout’s microsurveys, are particularly effective, as they simplify the process for customers and can lead to higher response rates. Effective Collection Methods How can businesses effectively gather customer feedback to improve their services? By implementing a robust client feedback system, businesses can utilize a variety of methods for collecting valuable insights. Consider these effective collection methods: Use surveys like Net Promoter Score (NPS) and Customer Satisfaction (CSAT) to gauge loyalty and satisfaction. Implement onsite surveys triggered by user behavior to capture immediate feedback. Leverage live chat tools for real-time support and to gather insights directly from customers. Employ always-on feedback widgets to unobtrusively collect input at any time. Conduct customer interviews and focus groups for in-depth qualitative insights. These strategies augment your feedback collection efforts, allowing you to better understand customer needs and improve services accordingly. Tools for Gathering Insights Gathering customer feedback is crucial for enhancing services and comprehending client needs. Various tools can support your customer feedback strategy, helping you collect valuable insights. Here are some effective methods: Method Description Surveys Use tools like NPS and CSAT for structured feedback. Live Chat Engage customers in real-time for immediate insights. Social Media Monitoring Track mentions and sentiments across platforms. Online Reviews Encourage and analyze feedback on review sites. Onsite Surveys Trigger surveys based on user behavior for instant feedback. Importance of Short Surveys Short surveys, like microsurveys, play an essential role in collecting customer feedback efficiently and effectively. They simplify the feedback process, making it less time-consuming and more engaging for you. Here are some key benefits of using short surveys for customer experience feedback: Increased response rates by up to 30% with surveys taking less than a minute. Immediate feedback capture at significant moments in the customer experience. Targeted insights focused on specific experiences, facilitating actionable improvements. Broader datasets that improve the reliability of feedback for decision-making. Enhanced relevance and timeliness of collected data, driving meaningful changes. Analyzing Customer Feedback Data Analyzing customer feedback data is vital for comprehending user experiences and identifying areas for improvement. This process involves identifying patterns and common issues that may reveal recurring pain points. By utilizing tools for sentiment analysis and thematic categorization, you can efficiently process large volumes of feedback, quickly pinpointing user sentiments and areas that need attention. High-quality customer feedback is characterized by specificity, relevance, and recurring patterns, providing actionable insights for product development and customer service advancements. Continuous analysis of this feedback helps prioritize improvements and feature requests that align with user needs and your business goals. Furthermore, metrics like Net Promoter Score (NPS) and Customer Effort Score (CES) can be derived from this analyzed feedback, allowing you to measure customer sentiment and the ease of resolving issues. This data-driven approach eventually drives customer satisfaction and retention, making it fundamental for a successful customer feedback loop. Implementing Changes Based on Feedback Implementing changes based on customer feedback is crucial for enhancing your products and services. By analyzing insights from your customers, you can identify actionable improvement strategies that align with their needs. Communicating these changes effectively not just builds trust but likewise encourages ongoing engagement, ensuring your business remains competitive in a swiftly evolving market. Analyzing Customer Insights Comprehending customer insights is crucial for businesses aiming to improve their offerings and overall customer experience. Analyzing feedback from clients helps identify recurring themes and pain points, guiding product teams in making informed advancements. Implementing changes based on this feedback can lead to significant improvements in customer satisfaction. Here are key aspects to reflect on: Utilize AI-driven tools for effective sentiment analysis. Prioritize actionable insights that align with customer needs. Address specific issues like long wait times or product defects. Communicate changes made based on customer feedback to promote trust. Understand that companies acting on insights see 41% faster growth. This feedback loop creates a cycle of constant improvement, eventually boosting customer retention and brand reputation. Actionable Improvement Strategies Addressing customer feedback is key to refining your business offerings and enhancing overall satisfaction. Implementing changes based on insights from your client feedback loop directly addresses pain points that might lead to customer churn. For instance, if high return rates stem from packaging issues, adjusting your materials can greatly improve customer experience. Prioritize feedback that reveals recurring problems, as companies that listen effectively can grow 41% faster than their competitors. Communicating the improvements made builds trust and encourages ongoing engagement. Utilize AI tools for sentiment analysis to categorize feedback efficiently, ensuring that meaningful insights are acted upon swiftly. This systematic approach not only boosts customer loyalty but also lays the groundwork for continuous improvement in your products and services. Closing the Feedback Loop Even though collecting customer feedback is essential, closing the feedback loop is equally important for nurturing trust and loyalty among clients. When you effectively close the feedback loop, you not just gather insights but likewise implement necessary changes based on that feedback. This proactive approach encourages customer engagement and satisfaction. Here are some key points to reflect on: Actively inform customers about changes made in response to their feedback. Studies show that 70% of customers feel more valued when they see their suggestions implemented. Closing the loop can reduce customer churn considerably. Businesses that effectively close the loop grow 41% faster than those that don’t. Regular updates on feedback status encourage customers to provide input again. Negative Feedback Loop Examples When customers express dissatisfaction, it’s crucial for businesses to recognize and address the underlying issues highlighted in their negative feedback. Negative feedback loops can reveal critical areas of dissatisfaction, such as long wait times in customer service, which, if ignored, may lead to significant customer loss. A study indicates that 56% of unhappy customers don’t voice their concerns, emphasizing the need for businesses to actively seek out and respond to negative feedback to prevent silent churn. Companies that manage negative feedback effectively can experience a 41% faster growth rate than their competitors who overlook customer insights. Addressing specific issues, like product faults or complicated return processes, can improve customer experiences and cultivate loyalty. By closing the loop on negative feedback—acknowledging problems, implementing changes, and informing customers—businesses can transform dissatisfied customers into advocates, in the end boosting their brand reputation. Positive Feedback Loop Examples Positive feedback loops play a crucial role in nurturing customer loyalty and enhancing brand reputation. When businesses actively engage with satisfied customers, they create an environment that promotes brand advocacy. Here are some positive feedback loop examples: Implementing a Net Promoter Score (NPS) system can lead to a 41% faster growth rate. Companies focusing on customer feedback often see a 10-15% boost in satisfaction and loyalty. Utilizing testimonials and case studies can drive conversion rates by up to 34%. Engaging with happy customers encourages them to share experiences on social media. Positive feedback can amplify brand visibility through online reviews and referrals. Best Practices for Effective Feedback Loops Implementing effective feedback loops is vital for organizations aiming to improve customer satisfaction and loyalty. To achieve this, you should follow best practices that guarantee feedback is collected, analyzed, and acted upon swiftly. Utilize diverse collection methods, such as surveys and social media monitoring, to capture a wide range of insights. Acknowledge feedback quickly, whether through automated responses or personalized messages, to show customers their opinions matter. Here’s a summary of key practices: Best Practices Description Collect Diverse Insights Use surveys, social media, and support tickets. Acknowledge Feedback Swiftly Respond quickly to encourage future participation. Guarantee Cross-Team Collaboration Use a shared dashboard for visibility on trends. Act Regularly on Feedback Implement changes to demonstrate responsiveness. Review Feedback Consistently Prevent value loss by analyzing feedback regularly. Incorporating these elements into your feedback loop marketing strategy will improve customer relationships and drive growth. The Impact of Feedback Loops on Business Success Feedback loops greatly impact your business success by enhancing product development, building stronger relationships with customers, and driving continuous improvement. When you actively gather and respond to customer feedback, you not only refine your offerings but additionally cultivate trust and loyalty among your clientele. This ongoing interaction creates a cycle where customer insights directly inform your strategies, ensuring that you stay competitive and responsive in a dynamic market. Enhancing Product Development To thrive in today’s competitive market, businesses must utilize the strength of customer feedback loops, which serve as vital tools for improving product development. Comprehending feedback loop meaning is fundamental; it allows you to continuously collect and analyze user feedback, leading to actionable insights. Businesses that implement feedback loops experience a 41% faster growth rate. Addressing recurring pain points improves product features. Feedback loops cultivate a culture of agility within organizations. Organizations prioritizing customer feedback see higher retention rates. Customers feel valued and heard, reducing churn. Building Stronger Relationships Building stronger relationships with customers is crucial for achieving business success, especially in today’s competitive environment. A feedback loop def is a continuous process of gathering and acting on customer insights, which helps you demonstrate to customers that their opinions matter. Companies that effectively implement feedback loops see a 41% faster growth rate, underlining the importance of customer engagement. By addressing feedback, you can improve satisfaction, reduce churn, and promote loyalty. Here’s a quick overview of the impact of feedback loops: Benefit Impact on Business Result Improved Satisfaction Increased customer loyalty Higher retention rates Trust Building Positive word-of-mouth New customer referrals Revenue Growth Meeting market demands Competitive advantage Driving Continuous Improvement Continuous improvement in business operations relies heavily on how well companies listen to and act on customer insights. By implementing a robust feedback cycle, you can drive significant improvements in your organization. Consider these key points: Companies that engage with customer feedback grow 41% faster than those that don’t. About 56% of unhappy customers leave without voicing their concerns. Ignoring feedback could cost businesses up to $887 billion annually. Closing the feedback loop cultivates trust and loyalty, leading to repeat business. High-quality, actionable feedback enhances overall customer experience. Frequently Asked Questions What Is a Feedback Loop and Why Is It Important? A feedback loop is a structured process where you collect, analyze, and act on customer feedback. It’s important as it helps you understand customer experiences and identify areas needing improvement. By actively engaging with feedback, you can address pain points, improve satisfaction, and build loyalty. Utilizing tools like surveys allows you to gather insights, ensuring your products and services evolve based on real customer input, which in the end drives your business growth and success. What Is the Purpose of Customer Feedback Loops? The purpose of customer feedback loops is to gather insights directly from your clients, allowing you to improve products and services based on their experiences. You collect feedback through surveys, reviews, and direct communication. Analyzing this data helps identify trends and areas needing attention. What Is Customer Feedback and Why Is It Important? Customer feedback is the information you receive from clients about their experiences with your products or services. It’s essential as it helps you identify strengths and weaknesses, guiding improvements. What Are the 5 Reasons Why Feedback Is Important? Feedback is vital for several reasons. First, it identifies customer pain points, helping you address issues effectively. Second, it informs product development, ensuring your offerings align with customer needs. Third, feedback nurtures customer loyalty, as clients feel valued when their opinions matter. Fourth, it improves overall satisfaction, leading to positive word-of-mouth. Finally, feedback supports continuous improvement, allowing you to adapt and thrive in a competitive market, ultimately driving business success. Conclusion In conclusion, a customer feedback loop is crucial for any business aiming to improve its products and services. By systematically gathering and analyzing feedback, you can make informed changes that resonate with your customers. This process not merely builds trust but additionally improves customer retention and supports sustainable growth. Implementing best practices for feedback loops can greatly impact your business’s success, ensuring that you stay aligned with customer needs and expectations in a competitive market. Image via Google Gemini This article, "What Is a Customer Feedback Loop and Why Does It Matter?" was first published on Small Business Trends View the full article

Price cap expected to rise 20% from July to SeptemberView the full article

The tech industry has spent the past few years focused on AI as a productivity engine, rewriting code, optimizing search, and automating customer service at scale. Now a more delicate transformation is underway., with agentic AI is moving into human resources. A new wave of startups and enterprise platforms claims algorithms can screen candidates, predict attrition, and recommend career paths faster than managers. The pitch is simple. AI promises less administrative work and more consistent decision-making. As these systems take on more responsibility, they are beginning to redefine what the “human” in human resources means. “Concerns are valid, because unlike other enterprise functions, HR directly affects people’s lives, careers, and identities, so the bar for trust and responsibility is much higher,” says Mahe Bayireddi, CEO of HR tech unicorn Phenom. Several companies are building tools for AI-led workforce redesign, embedding intelligent agents into hiring, employee support, and internal mobility. And wrestling with how to do it without losing the “human” in human resources. In this premium story, you’ll learn: How leaders at four major AI-powered HR platforms are enabling agents without forgetting the human in the loop Why the big opportunities in the tech are helping HR balance C-suite demands for speedy AI deployment The key risks still being hashed out with the move from automation to autonomy “What we’re seeing right now is what I would describe as a phase shift,” Bayireddi says. “There’s a lot of fear around job loss, but that framing is incomplete. HR roles are not simply disappearing. They are being deconstructed and rebuilt.” HR Is Moving From Process Automation to AI Execution Phenom’s new platform offers a window into how this change might actually play out. HR data is highly sensitive, raising concerns that biased or opaque algorithms could lead to discrimination claims or flawed hiring and termination decisions. Mohit Bhende, cofounder and CEO of the technical hiring platform Karat, says fragmented legacy systems make the challenge harder, since many organizations still rely on disconnected tools. “We’re somewhere in between, as the gap between the vision and the reality is wider than most vendors will admit,” Bhende tells Fast Company. “AI is not good at appreciating context, organizational history, or the kind of implied knowledge that makes someone genuinely valuable to a team.” Phenom’s new platform, WorkOps, reflects a broader evolution. The company has built an agentic architecture designed to orchestrate workflows, with a centralized engine governing agents in real time, enforcing policies, and escalating decisions when human oversight is required. In practice, HR begins to resemble an operating system. Mahe Bayireddi Mahe says a structural tension is emerging inside enterprises. CEOs and CIOs are pushing to accelerate AI adoption in pursuit of efficiency and competitive advantage. Chief people officers and HR leaders are urging caution, aware they are accountable for the human impact. “The reality is, people-driven systems often cannot move at the same speed as technology, so this tension is not only expected, it is inevitable,” he says. “In HR, especially in areas like talent acquisition and talent management, decisions were often based on experience, intuition, and limited data. With AI, those workflows are becoming more data-driven, and transparent, and can improve operational outcomes when implemented correctly.” Adoption remains uneven. Some studies suggest global AI use in HR ranges from 21% to 45% of organizations, while deep integration sits between 12% and 31%. Roughly 62% of HR AI failures stem from poor data quality and lack of context. Phenom says its approach targets that gap. The platform builds on enterprise-specific context and guardrails defined during deployment, drawing on models including Claude, OpenAI, and Gemini, alongside smaller fine-tuned systems. The goal is to better match AI to the complexity of enterprise and employee data. “Agentic AI cannot handle everything end-to-end. It lacks true contextual understanding and common sense, so relying on it completely would create inconsistencies and risks in enterprise operations,” says Phenom COO Hari Bayireddy. “We try to understand the industry first, collect data from multiple sources, and structure it properly, creating a semantic layer that the AI system can understand. Without that foundation, generative or agentic AI cannot deliver meaningful results.” The Rapidly Evolving Market for AI-Powered HR Platforms Phenom is part of a broader move toward AI-native HR, but its platform offers a concrete example of how vendors think this transition will work in practice. Startups such as Eightfold AI, Beamery, and Gloat are focusing on skills intelligence and internal mobility. Enterprise platforms including Workday, SAP SuccessFactors, and Oracle Cloud HCM are embedding generative and agentic AI directly into HR workflows. Salesforce recently launched Agentforce for HR Service, which integrates AI agents into a system that lets employees request time off or track HR cases through conversational interfaces. The platform draws on unified enterprise data, including policies and employee profiles, to deliver responses and execute actions in real time. “With business and HR leaders reporting that 41% of their time is spent on ‘zero-value’ tasks (referring to a Deloitte study), the industry is no longer just primed for change – it’s hitting a breaking point,” Kishan Chetan, GM of Agentforce Service at Salesforce, writes in an email to Fast Company. “In fact, we often say that the ‘portal-to-ticket’ era is dead. Agents can help resolve routine queries autonomously, freeing people leaders to focus on what only humans can do: high-value culture building and strategic talent development.” Chetan says the long-term vision centers on humans and agents working together. Not everyone is convinced the shift is heading in the right direction. An Inevitable Yet Unsettled Future Experts argue that the move from automation to autonomy introduces new risks, especially in a domain where decisions have direct human consequences. Regulation is one factor. New laws in the U.S. and Europe are beginning to govern how companies use AI in hiring, particularly around bias, transparency, and candidate rights. In 2025, both Workday and Amazon faced high-profile claims of AI-driven employment bias, intensifying scrutiny and political pressure for clearer rules. But regulation is only part of the challenge. “In HR, where decisions directly impact people, the biggest concerns are hidden bias and over-reliance on AI as decision-makers rather than signal generators,” says Dr. Helen Gu, founder and CEO of InsightFinder AI. Gu notes that AI still struggles with less tangible factors like context, collaboration, and culture. “There is a real risk of overfitting models to what can be measured while ignoring what actually matters,” she says. “When systems influence hiring or workforce planning, you need continuous visibility into how those models behave and where they may be drifting.” Others point to strategic risks. “Organizations may end up using AI to execute broken strategies more efficiently,” says Hemant Kapadia, CFO at Anaplan. “Deploying agentic AI in that environment is not progress. It is just automating chaos at a speed no human can control.” He says companies focused only on automation and cost reduction risk creating systems that are difficult to understand and govern. “The real opportunity is to use AI as a decision intelligence layer that drives growth.” Vendors building these systems push back on the idea that AI replaces human judgment. They say most AI outputs are probabilistic and still require interpretation, especially in high-stakes decisions. “Our systems are designed so that the final decision, whether it is hiring or internal promotion, remains with humans. That balance is critical,” says Mahe. Chetan adds that agentic AI “is an amplifier of human judgment, not a substitute,” noting that modern HR demands already exceed what teams can handle manually. Expecting leaders to respond to every query and oversee every outcome risks burnout in a function that is already stretched thin. If Phenom’s vision holds, enterprise leaders will face growing pressure to manage more complex workforces while adapting to rapid technological change. Integrating AI into HR will require reworking organizational systems and underlying data structures, alongside new roles focused on oversight. “Entirely new job categories are already emerging, where someone is constantly observing how agents behave, identifying where systems break, and deciding when to intervene, whether that means inserting a human into the loop or recalibrating the orchestration itself. As organizations deploy agents more broadly, I expect the nature of HR roles to evolve, helping enterprises make better decisions with clear and traceable accountability,” says Mahe. View the full article

When Huckberry launched its newsletter 15 years ago, the retailer included a section that defied the advice of ecommerce experts by including links to stories and content that its employees thought might be of interest to its outdoors-minded community. “That is like rule No. 1: You do not link off of your site,” Ben O’Meara, Huckberry’s chief brand officer, said during a panel discussion at the Fast Company Grill at SXSW. The Austin-based company’s philosophy then, as it remains today, he said, is that there’s value in putting customers first and recognizing they’re not always in the mood to buy something. “We are providing a service to you outside of just the products that we are selling,” O’Meara said. “And that service is: We are providing entertainment, education, we are introducing you to like-minded people and examples of what our brand represents.” “MAKING DEPOSITS INTO THE COMMUNITY” Much like developing a friendship, this type of brand-building strategy takes time, and there’s an evolution that sees the relationship deepen over time, added Bill Neff, head of marketing at Yeti. He noted that the Austin-based company started out 20 years ago making coolers and other products for the fishing community, and has since branched out to foster partnerships with other communities, like surfing, that sometimes take many years to develop. “We treat our brand in a very human way, and we always think about our communities as friends,” Neff said. “We keep making deposits into the community and then we hope the community makes deposits in us.” Even if it takes time, going deep within communities can pay off. O’Meara said that Huckberry customers who engage with the brand’s content have a lifetime value that’s 3.5 times that of those who come to the site from an ad or affiliate link. “It’s longer term, it’s a slower build,” he said. “But at its foundation, this investment means a more profitable business.” View the full article

Are you sick of hearing about Gen Z yet? For more than a decade, they’ve been the premier target audience for brands and entertainment. They’ve dominated trend reporting, research, and the cultural zeitgeist. But, despite all of those studies, what have we actually learned? Is there really any connective tissue that unites everyone born between 1997 and 2010? The truth is, there is no Gen Z—not how we’ve come to define it. We’ve painted the generation as more socially conscious and purpose-driven, more addicted to technology, and credited (or blamed) them for new slang. We’ve complained that they don’t take life seriously and use humor as coping mechanisms, and that they don’t want to work or go to college. But these are the same stereotypes that have been articulated about young people for generations. The reality is more nuanced. And unfortunately, when it comes to how brands categorize and engage different generations, nuance is not generally welcome. That disconnect has led to some pretty tone-deaf brand moments. Take 2017’s infamous “Live for Now” Pepsi campaign—an early example of the pitfalls of broadly gesturing toward supposed Gen Z tropes and expecting it to land. On paper, Kendall Jenner heading into the streets to participate in a vague protest of some kind might seem like a great way to fulfill all of the Gen Z stereotypes. Instead, it missed the mark completely, turning Pepsi into a punchline. Driven by radical shifts in politics, culture, economics and more, members of Gen Z are less likely to share as many commonalities as you might think. In a way, there is no Gen Z. Or, at least, brands will need to act that way if they want to stop misrepresenting one of the industry’s most coveted demographics. Going solo Forget relying on some vague understanding of their overlapping interests. By all accounts, Gen Z is the first solocultural generation. Their practically unlimited access to information and culture from such a young age has created an incredibly individualistic view of the world, one where they all perceive the world around them differently. This then shapes how they engage with the world through algorithms and other choices, which feeds back to them an even more personalized perspective of the world. The result is a cycle where individual Gen Zers become less and less connected by shared realities. No previous generation has dealt with such a shift—from broad, connected understandings of the world around them to complete schisms in reality—and while every generation is dealing with the impact of soloculture, Gen Z has felt the brunt of its impact the most in their pivotal developmental years. This fracturing of collective identity has led to a lot of misunderstandings by those hoping to predict their behavior. For example, the broad assumption that Gen Z was the most socially conscious generation ever created early perceptions that it would be an extremely liberal voting block. This has been proven wrong multiple election cycles in a row, especially amongst young men. Instead, a variety of fragmentation points in Gen Z, from employment to education to specific beliefs in certain civil and human rights issues, prove that even though they are the same age, the consumption and behaviors of Gen Z are not consistent person-to-person. Similarly, when Gen Z was labeled as more sustainably minded, many brands looked for ways to message their eco-friendly bonafides to woo consumers. But at the same time, Gen Z helped enable the rise of fast-fashion behemoths like Shein. Their reality is complex: Gen Z wants to be able to shop in a considered way, but prices and other challenging parameters make it difficult for them to say no to cheaper options. Some brands do get things right, though. The annual Spotify Wrapped, and the ad campaigns surrounding it, feel highly specific while still broad enough for others to connect with and signal something about themselves. That specificity, enabled by data and presented in an incredibly shareable way, makes it a powerful signaling tool. But these types of approaches aren’t the norm. Getting past stereotypes Instead, initial perceptions around Gen Z that were born from kernels of truth over a decade ago have now hardened into perceived fact. To change that, brands and marketers need to be more curious and continually challenge our biases to refresh our understanding. Follow new research, not old assumptions: It can be tempting to fall back on tried and true data, but the world of Gen Z is always changing. So, their needs, wants, options and beliefs are always changing too, sometimes with huge swings that make relatively recent research obsolete. That’s why it’s important for brands to constantly reassess who they are for. Ask questions like: What action, belief, or need specific to our offering speaks to some part of today’s Gen Zers? How can we focus our research to help find more useful nuggets of truth? Be for someone, not everyone: If you have a particular POV that you believe will appeal to some of Gen Z, don’t fall for the trap of broadening it to meet more people where they are. When it comes to effectiveness, a seemingly larger and more inclusive audience is not always better. If an insight guiding your initiative or campaign is truly strong, it will be more helpful to be distinctly for some people than broadly for all people. Pick a passion point and stick to it: One way to appeal to a subset of Gen Z is to choose one clear area that they care about and focus your energies in that space. Ideally, that area is one that Gen Z has a unique or differentiated perspective on so that you can show them how you are a match for their needs. Obviously, it should also be an area that is a natural fit for your brand. Ask yourself: “Does my brand have a right to show up in this space?” Once that’s figured out, it’s important to be consistent once you’ve picked that space and show up for them, not once but often. So long as brands are committed to seeing Gen Z as a monolith, stereotype-driven failures will become more and more common, impacting reputation and growth. But those that do the hard work of breaking their stunted perceptions of who these individuals are and how they impact society today will find the loyal and grateful audience they’ve been searching for. That’s a lesson worth remembering for all generations, not just this one. View the full article

Fallingwater, the iconic Pennsylvania home architect Frank Lloyd Wright designed to sit over a running stream, just rebranded. But it doesn’t have a logo, and that’s intentional. “A logo’s purpose is to provide a cognitive shortcut to brand essence—but Fallingwater’s iconic elements, the cantilevered house and its landscape, are too rich to compress graphically, yet too essential to abstract,” says Amy Blackman, founder of L.A. design firm Fruition Co., that worked on the rebrand which went live last week, said in a statement. Unsplash The new brand also comes with updated fonts and an expanded color palette that was inspired by nature and the natural materials used to build the house. But Fallingwater was “un-logoable,” she says, because the house itself is one. “That iconic view of the house floating over the falls is the power of our visual identity,” Fallingwater director Justin Gunther said. “When you try and distill that image into a graphic depiction, it doesn’t do it justice.” Wright designed the home in 1935 for Edgar Kaufmann Sr., a Pittsburgh department store owner, and today it’s a museum and UNESCO World Heritage List site that draws about 140,000 visitors annually and runs a gorgeous, calming livestream on YouTube of its iconic falls all year long. Past Fallingwater logos used the distinctive shape of the building’s rectangular block facade over the falls to depict it literally. Some used more realistic representation of the home while others were abstract, like one made from brush stroke lines. Instead of trying to represent that famous POV of the house over its namesake falling water in a new way, the solution was a wordmark. The new Fallingwater logo spells out the home’s name in a customized version of Aldus Roman, a serif typeface designed for books. It was also used on the 1986 book cover for Fallingwater: A Frank Lloyd Wright Country House by Edgar Kaufmann Jr., about his family’s home. There’s also a shorthand “FW” favicon to make it more adaptable for small spaces like browser tabs. The wordmark was adapted from the book cover, according to Fallingwater, and some letters were subtly edited to make them look more flowing, like the Ls, which received curves on their tails, and the added tilt to the W. “When shown together with the house, it serves to reinforce the qualities of the design,” Gunther says. “And when alone, it serves to evoke that image in our minds.” Fallingwater is just the latest Wright-associated group or property to abandon a visual identity based on a building. The Frank Lloyd Wright Building Conservancy recently abandoned a representative logo that depicted a single building in Buffalo for a square logo that symbolized Wright and the importance of preserving his work. Fallingwater’s new wordmark stays out of the way and let the famous architecture speak for itself. View the full article

President Donald The President got the U.S. into a global economic and geopolitical mess with his Iran war. It was all predictable, except for one unintended consequence: Iran’s response in the region has demonstrated that the Pentagon’s traditional weaponry is not ready to fight the war of the future. Instead of the heavy systems used by the U.S. military since World War II—missiles and ships that are expensive to design, build, and operate—this war is powered by swarms of mass-produced and oft-autonomous drones that can do the job cheaper and faster. This is the U.S.’s first war of the future. It will mandate new strategy and technology. Fortunately for the U.S., there is somewhere to turn for that strategy and technology. In February 2022, when Russia launched its full-scale assault on Ukraine, the Ukrainians quickly found themselves in need of a playbook for modern warfare. That playbook has been honed over the past four years—and Ukraine is now willing to share it. Initially, the Russian offensive was foisted by courageous Ukrainian troops using traditional U.S. armament, including anti-tank Javelin missiles and high-mobility artillery rocket systems, or HIMARS, otherwise known as artillery for dummies. But soon Kyiv was compelled to find more effective ways to face its larger, better-funded enemy. Essentially, the Ukrainians had to build a whole new way of fighting from the ground up, scrambling to design and make a category of weaponry that has redefined the modern battlefield: brilliant, inexpensive drones. Now this is happening in reverse in the Middle East: The Pentagon’s brute-force approach has been countered by cheap, scrappy Iranian drones. The U.S. and its regional allies are defending themselves against $20,000 drones with Patriot missiles that cost $4 million per shot. A full Patriot system, by the way—including the launcher, radar, and control stations—costs roughly $1 billion. Meanwhile, Iran can launch its drones from a truck. This economic equation is ludicrous, but the bigger issue is that there are not enough expensive missiles to take down the cheap drones. So the U.S. (along with the United Arab Emirates, Saudi Arabia, and other gulf allies) is turning to Ukraine—where Russian drone attacks are still a nightly occurrence—for help. They want to use Ukraine’s drone interceptors and learn how to fight against Iran’s Shahed drones. It’s an ironic turn of events. Ukraine has been begging the U.S. to secure its skies for four years. Now it’s Washington begging for assistance from Kyiv. Doesn’t the U.S. already have drones? The U.S. has used drones for decades. The problem is that those drones were developed by the traditional military-industrial complex, whereas Ukraine changed warfare with off-the-shelf gadgetry. While large drones like the American Predator and the Reaper had existed since the early 2000s, Russia’s invasion forced Ukraine to build and deploy a very different type of drone. They needed a way to create lots of weapons that could fly and search for targets beyond enemy lines. They had to be modular so they could do different missions, from attack to reconnaissance. And they had to be very cheap. Rather than huge bombers and missiles, now everything depends on engineering genius, modularity, and AI. Kateryna Bondar—a fellow at the Wadhwani AI Center at CSIS and an expert in defense, technology, and Ukrainian drone warfare—tells me that the roots of this revolution lay in the dirt. “Ukraine has always been an agricultural country, and we use drones wildly in agriculture,” Bondar says over video chat. When Russia first invaded the Donbas region in 2014, Ukrainian farmers joined an underequipped army, bringing their commercial crop-monitoring drones with them. They quickly realized that instead of risking human life to look over a hill, they could just send a flying camera. Saving lives is key in any war, but Ukraine, a country of 30 million people, is vastly outnumbered by Russia’s 140 million-plus population. “The goal of the Ukrainian military is to remove a human from the battlefield just to reduce and minimize the loss of human lives,” Bondar says. The other motivation was to develop a strategy that could counter Ukraine’s economic disadvantage against Russia. It takes about $5,000 to $6,000 to fire a traditional 155-millimeter artillery shell. Using unmanned systems? “To basically kill one Russian [soldier], the cost is like $600,” Bondar notes. That cost references the price of a surveillance drone, the human operator’s time, and a kamikaze drone—a small, pilotless aircraft packed with explosives designed to deliberately crash directly into its target. Today, the Ukrainian military conducts 80% of its frontline strikes with drones. A decentralized, modular machine Ukrainian drones started out as off-the-shelf DJI Mavic camera drones dropping jerry-rigged grenades. According to a report in the Military Times, Aero Center, a Ukrainian manufacturer, started with a munition called Malyuk (which translates to “Baby”) that weighed just about 1 pound. The explosion of models has been nothing but phenomenal, growing from 70 in 2023 to more than 500 available today, from small, first-person-view quadcopters to large cruise-missile-like jet-powered units. Aero Center is now building medium-class drones that carry up to 22 pounds of explosives over roughly 15 miles. The same happened at sea, where Ukraine’s scrappy engineers packed civilian Jet Skis with explosives and remote navigation systems to hunt Russian ships with such great success that they forced the entire Black Sea fleet to retire into the Crimean port of Sevastopol. The key for their success is that most of these drones are modular and actually built-to-order on the battlefield, Bondar tells me. Ukrainians couldn’t just build massive defense factories to churn out drones, because Russian missiles would instantly vaporize them. Instead, they divided the manufacturing process into stages. They distributed separate, small facilities across the country so “if one place undergoes a strike from Russia and gets destroyed, you don’t destroy the whole ‘factory,’” Bondar says. Instead of buying a locked-down, $100,000 flying machine from a Western contractor, Ukrainian units acquire basic airframes and attach specialized loads for specific missions: GPS, chips for AI processing, cameras, fiber optics cable spools to avoid signal jamming, thermite loads (a chemical substance that burns through a tank’s armor), and explosive heads. It all depends on what they want the drone to do at any given time. For the first year of the war, Ukraine’s drones decimated Russian forces. But Russia adapted with help from its allies to develop a counter-fleet of drones. China provided components. Iran sent Shaheds—the cheap drones targeting American and allied assets in the Middle East right now—and engineers to teach Russians how to build and operate them. That prompted an arms race that has pushed the technology to evolve at a breakneck pace, with Ukraine developing cheaper and more effective interceptors to destroy the Iranian-designed drones. The bulk of Ukrainian interceptors are the Merops and Sting systems: small, semiautonomous flying robots designed to ram into enemy drones or explode right next to them in midair. They cost between $1,000 and $2,500 and are compact enough to fit inside a standard duffel bag. A Ukrainian-made Wild Hornets Sting drone costs $2,500, flies 195 mph, and has downed 3,900 enemy drones since May 2025. Another model, SkyFall’s P1-SUN, features a 3D-printed modular body, costs just $1,000, and reaches speeds of 280 mph using computer vision and thermal imaging to hunt its prey in the dark. Last month alone, Ukrainian interceptors destroyed more than 70% of incoming Shaheds over Kyiv. At the highest end of Ukraine’s drone fleet is the Octopus, built by Ukrspecsystems. It flies at night, cuts through electronic jamming at altitudes up to nearly 15,000 feet, and locks onto targets autonomously, ramming into them and exploding. It’s so effective that it’s now built under license by more than 15 Ukrainian manufacturers. And since November, it has been produced outside Ukraine, at a new factory in the United Kingdom. This deal marked the first time a Western government licensed a Ukrainian-designed interceptor for domestic production. Five NATO countries—Germany, France, Italy, Poland, and the U.K.—have since agreed to build on this precedent by jointly developing affordable interceptor drones of their own. The rest of the defense world has been watching this open laboratory in awe. China, in particular, is radically altering its military structure. According to Bondar, China is no longer focused on traditional tanks or aircraft carriers. “They develop ground systems which are able to carry thousands of drones, for example, or they develop ships which are able to carry thousands of drones,” she says. Now that exact same tactic is bleeding U.S. defenses in the Middle East dry. On February 28, 2026, the U.S. and Israel launched a massive assault on Iran. In just the first week of the resulting war, Tehran fired more than 500 ballistic missiles and nearly 2,000 drones at Israeli cities and at U.S. assets across 12 countries in the region. Desperate call for help The U.S. and its partners claim they are winning the sky, with officials saying that countries like Qatar and the UAE are intercepting between 93% and 97% of incoming projectiles. But despite these high interception rates, the sheer volume of the swarm means dozens of drones still slip through. According to a recent analysis by The New York Times, Iranian strikes have successfully damaged at least 17 U.S. military, diplomatic, and air defense sites across the Middle East. For the first time, an Iranian-backed militia has carried out an FPV drone attack in Iraq, an incredibly dangerous new development. Seen here, the FPV munition flies around Victory Base near Baghdad International Airport before slamming into a building. pic.twitter.com/yNugU8iQVL — OSINTtechnical (@Osinttechnical) March 14, 2026 High-value strategic targets hit include the U.S. Navy Fifth Fleet headquarters in Bahrain (causing an estimated $200 million in damage), Al Dhafra Air Base in the UAE, Ali Al Salem Air Base in Kuwait, U.S. Victory Base in Baghdad, and Al Udeid Air Base in Qatar. The swarms have even damaged the crown jewels of American air defense, striking components of the U.S. Terminal High Altitude Area Defense (THAAD) system and a $1.1 billion early-warning radar near Umm Dahal, Qatar. Imagine that: Cheap drones hitting the systems that are supposed to hunt them down. Even civilian global hubs aren’t safe. On March 16, an explosive-laden Shahed-type drone successfully struck a fuel-storage tank just outside Dubai International Airport, sparking a massive fire, injuring four people, and forcing the temporary shutdown of the world’s busiest international airport. But even if the U.S. could stop 100% of the incoming Shaheds, the financial equation would still be broken. If Iran forces the U.S. to spend $4 million on a PAC-3 Patriot missile to stop a drone that costs just $20,000 to $30,000, how is that a sustainable war plan? This imbalance has forced the U.S. military to swallow its pride and request help from Ukraine, even after The President stopped U.S. military and intelligence aid multiple times and personally denigrated Ukrainian President Volodymyr Zelenskyy. The Joint Interagency Task Force 401 (JIATF 401)—the Pentagon’s lead counter-drone unit—is currently scrambling to gather and deliver drone-killers to American troops participating in Operation Epic Fury. A U.S. official told Forbes that JIATF 401 is helping organize “a rapid surge” of Merops interceptor drones to the Middle East to support the U.S. “JIATF 401 is leading the War Department’s effort to rapidly transfer critical counter-drone technologies, including low-cost interceptors, from Ukraine to the U.S. Central Command area of operations,” the official said. Merops is a kinetic drone interceptor—a robotic flying bullet that uses brute force to smash into its target. It’s agile to deploy: A crew of just four people can assemble and launch it directly from the back of a standard pickup truck or light tactical vehicle. Once in the air, the drone relies on AI—a digital brain that processes sensor data to make real-time targeting decisions without a human pulling the joystick—to autonomously track and strike incoming adversary drones like the Shaheds, knocking them down or obliterating them in midair. A single Merops system costs about $14,500—several times the cost of some cheaper drone systems—but the math checks out. The Shahed drone it’s designed to thwart ranges from $15,000 to $30,000 depending on its payload. Merops has already proved highly effective against Russian versions of the Shahed, prompting NATO nations like Poland, Romania, and Denmark to adopt the system last year to protect their own airspace. Time to change, fast We are witnessing the rapid evolution of drone warfare. But a U.S. military that’s relying on $14,500 truck-launched robots exposes a glaring truth: The Pentagon’s legacy defense networks are fundamentally mismatched with modern combat. Historically, the U.S. has relied on a layered, multimillion-dollar defense strategy using Patriot missile batteries and THAAD systems to smash into ballistic missiles, the latter in the vacuum of space just before they reenter the Earth’s atmosphere. But these systems are financially ruinous against cheap drones. As Iain Boyd, an aerospace engineering professor at the University of Colorado Boulder, points out: “Because each interceptor costs several million dollars, it is a losing proposition to use such systems to destroy rockets that only cost $100,000.” Just three days into the war with Iran, the U.S. and Israel had burned through 800-plus Patriot interceptor missiles—more than Ukraine received over four years from all its allies combined. By the end of the first week, Washington had spent roughly $4 billion on missile defense interceptors. Even fallback systems like the Navy’s Phalanx—an automated machine gun that spits out 4,500 rounds per minute—are flawed. At $30 a round, the defense sounds cheap, but it can empty its entire magazine in a mere 20 to 30 seconds. Air defense needs to keep up with the pace of drone threats. The U.S. is experimenting with directed-energy weapons, like the Navy’s 60-kilowatt HELIOS laser, or high-power microwaves that shoot invisible waves of energy to short-circuit the electronic wiring of incoming missiles. Boyd notes that these technologies have an “infinite magazine,” meaning they can fire endlessly as long as they’re connected to an electrical power source. But those aren’t fully ready for mass deployment. Nobody knows when the Pentagon will catch up. The U.S. military-industrial complex is sluggish and still focused on sixth-generation fighters and stealth bombers like the B-21 Raider. Do these systems have a place in today’s military world? Probably—for now. But for how long? The Chinese are still working on large military systems, from nuclear aircraft carriers to their own sixth-generation fighters and stealth bombers, but they’re increasingly shifting focus toward deploying AI-powered drone swarms and flying aircraft carriers capable of launching hundreds of drones in midair. These projects take years of research to realize. But in Ukraine, military tech becomes obsolete every six weeks. Russia’s newest attack drone, the Geran-5, flies at 370 mph—fast enough to outrun current Ukrainian interceptors. “The Russians are trying. They are not as stupid as they look,” Roman Yeremenko, a director at Aero Center, says. “They are adapting to our means of destruction.” The arms race will keep racing. If the U.S. doesn’t rapidly evolve its multimillion-dollar defense paradigms to embrace cheap, agile, adaptable, AI-driven drones, it will be left behind in the ashes of its own expensive hardware. As Yeremenko puts it plainly: “This is a war of technology. And the one who is ahead will win this war.” View the full article

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Twenty years ago, Jack Dorsey changed the world. He opened his phone and sent a message to a new platform he had created: “just setting up my twttr”. That post carries the ID 20. (A post he shared last week has the ID 2032161152470565367—a small detail that captures how dramatically the platform has scaled in the intervening decades.) just setting up my twttr — jack (@jack) March 21, 2006 Following that first message, Dorsey’s short-form social network quickly cemented its role in our digital lives. In 2009, as a plane landed on the Hudson River in New York, users followed events in real time as people posted from the scene. In 2011, Sohaib Athar, then living in Abbottabad, Pakistan, inadvertently revealed the mission to kill Osama bin Laden because of a noisy helicopter… on Twitter. It became the place where the press and policymakers converged to discuss the state of the world. It was also where celebrities could interact directly with fans—or share record-breaking selfies, as Ellen DeGeneres did in 2014. If only Bradley's arm was longer. Best photo ever. #oscars pic.twitter.com/C9U5NOtGap — The Ellen Show (@TheEllenShow) March 3, 2014 Little wonder that Elon Musk called the platform the “de facto public town square” as he courted the company before buying it for $44 billion in October 2022. Today, that public town square lies in ruins. The company’s value has yo-yoed, dropping below $10 billion in September 2024 before rebounding to roughly its original valuation by March 2025. User numbers have declined as people tire of puerile shitposting and sexual harassment through the Grok chatbot. The platform is now struggling under a morass of AI slop, its own staff admit. Musk has framed these changes as a necessary evolution in service of free speech. The result, however, has been the erosion of the utility that made Twitter essential for journalism and public discourse. What was once a kind of public utility—flawed, often chaotic, and frequently mismanaged—has become Musk’s private playground. Value now comes in two forms. Financially, the takeover looks like a bust. Following the merger of Musk’s companies, recent estimates peg the platform at around $33 billion. That’s up from its low point, but still roughly 25% below what Musk paid—and he bought it believing it was already underperforming. Yet X still serves a purpose for Musk, even as its civic function has largely collapsed under a torrent of porn and hostility. It remains a firehose of real-time human interaction—albeit among a shrinking user base—and a captive testing ground for Grok. It is also a megaphone for Musk himself. The point of X is no longer to function as a public square. It is to generate data and extend reach across the broader Musk ecosystem. The experience we all have on the platform, attacked by random reply guys, bombarded with gore and titillation, is an echo of his world. But it’s also a lab experiment to see how well his broader goals for his companies work. That helps explain why it feels so shitty for users. It’s no longer serving us; it’s serving Elon Musk. It’s designed to reinforce his worldview first, to improve his other businesses second, and if you happen to enjoy it along the way… well, that’s an added bonus. But Musk did the world a favor by renaming the platform when he did. While X will go down in the history books as an ugly, unpalatable place, Twitter’s legacy remains, and relatively untarnished. It changed how news broke and how politicians, celebrities and the public collided online. It briefly showed what a digital public square could look like, then demonstrated how fragile such a space becomes when one billionaire mistakes ownership for stewardship. Today, X is a testing ground for an AI lab and an echo chamber for its owner. And in that sense, it feels like it’s succeeding. View the full article