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We may earn a commission from links on this page. Nintendo may be worth over $50 billion, but that doesn't mean it's immune to global market instability. Between escalating conflicts in the Middle East driving up oil costs, and an ongoing memory crisis raising the price of technology across the board, companies like Nintendo have to make some difficult decisions to keep profits rising, too. That brings us to today's news: On Friday, the company posted a press release titled "Notice Regarding Price Revisions for Nintendo Products and Services." While "revision" could mean a price increase or decrease, in this case, it unfortunately means the former. Nintendo outlined a number of price increases on systems and services across its global markets—including the Nintendo Switch 2, Nintendo Switch, and Nintendo Switch Online. For those of us in the U.S., Nintendo is only raising the MSRP of the Switch 2 (lucky us): Soon, the Switch 2 will officially retail for $499.99, a $50 increase over the console's $449.99 launch price. This increase isn't effective immediately, however. Nintendo is giving American buyers—as well as those in Canada and Europe—until Sept. 1 before these prices shoot up. As such, if you are interested in picking up a Switch 2, you might want to buy one at your earliest convenience. Come September, you'll need to pay $50 more for the same product. Nintendo didn't specify, but I imagine that bundles will also increase. If so, the Mario Kart World bundle, which typically retails for $499.99, could instead cost $549.99. Nintendo Switch 2 $449.00 at Amazon Shop Now Shop Now $449.00 at Amazon This isn't the first time Nintendo has raised prices during this console generation. Nintendo had considered raising Switch 2 prices in the face of President The President's tariffs, but decided against it, instead increasing the MSRP of Switch 2 accessories, as well as the original Switch. Nintendo isn't alone, either. Back in March, Sony announced price increases for the PS5 and PS5 Pro; meanwhile, Microsoft raised Xbox prices twice in 2025. While the courts have largely shut down The President's tariffs, these companies cannot escape the rising costs of computing components: AI organizations are buying up as much RAM as they can, and memory manufacturers cannot make enough new RAM to meet demand. Add in the increased cost of shipping, and it's no wonder prices are rising for game consoles (and all other technology) across the globe. That said, it is an odd twist on how video game pricing typically works. For most cycles, consoles are most expensive at launch. It usually makes more financial sense to wait to enter the new era until the manufacturer ends up cutting prices or releases a less expensive model—especially since consoles often launch without a huge library of new games. Today, however, it ends up being more expensive to wait to jump into a new console. If you already have a Switch or are comfortable with your gaming setup, you might want to hold on to it tight. View the full article

Dan Petrovic wrote a great article explaining why human-friendly content is AI-friendly content. In a nutshell, there is a striking parallel between how people and AI models process text information: we both try to glean meaning from long text without…Read more ›View the full article

Fannie Mae and Freddie Mac investors are underestimating the chances of a public market re-entry from the mortgage giants after a lull in chatter around the names, according to Mizuho's Dan Dolev. View the full article

Employers hired an additional 115,000 workers in April, while unemployment remained unchanged at 4.3%. Despite the positive headline figure, a spike in newly unemployed workers and a rising number of underemployed workers suggests instability under the surface. View the full article

April was not a good month for the tech industry in terms of job losses. Last month, major firms—including Microsoft, Meta Platforms, and Snap—all announced significant workforce reductions. But now, May is not shaping up to be any better. This week alone, news emerged that several major tech companies, including Cloudflare, PayPal, and Coinbase, are set to cut thousands of positions. And yes, you can blame AI for the job cuts—or at least the bosses are. Cloudflare cuts more than 1,100 jobs Yesterday, Cloudflare announced that it was laying off more than 1,100 workers across the globe. That equates to roughly about 20% of the company’s workforce. The announcement came from the company’s cofounders, Matthew Prince and Michelle Zatlyn. The pair published the letter they sent to employees earlier in the day announcing those layoffs. The main driver of the layoffs—as has been with so many tech layoffs lately—is a shift to artificial intelligence in the workplace. In the letter sent to employees, Cloudflare notes that its use of AI in the workplace has “increased by more than 600% in the last three months alone,” across myriad departments, including engineering, marketing, finance, and HR. Cloudflare says these departments now “run thousands of AI agent sessions each day to get their work done.” Shares of Cloudflare Inc (NYSE: NET) were down roughly 15% following the announcement and its first-quarter earnings report. Bill.com reduces workforce by 30% On the same day Cloudflare announced its layoffs, the fintech billing SaaS provider for small and medium businesses, Bill Holdings (NYSE: BILL), did the same. Likewise, the company posted a letter from CEO René Lacerte, announcing the job cuts to employees. In the letter, Lacerte announced that Bill “will become an AI native company.” Lacerte said that companies operating in an AI-first world will see “the time between ideation and execution is much faster,” which necessitates changes in how Bill as a company works and operates. As a result of this shift, Lacerte said the company will cut 30% of its workforce by the end of its Q4 2026, which equates to around 700 positions. “This is a considered and deliberate decision that reflects the needs of the business,” Lacerte said. “We are structuring our business to achieve profitability at meaningful levels for a company of our scale and tenure; while also positioning our business to operate more effectively and efficiently in an AI-first world.” Upwork lays off 25% of its employees The freelancing platform Upwork Inc (Nasdaq: UPWK) also announced on Thursday that it was initiating job cuts. In a blog post, CEO Hayden Brown said approximately 25% of its workers would lose their roles. And yes, artificial intelligence is partly to blame. “Two pizza teams are dead,” Brown said. “AI means smaller, differently resourced teams in product and engineering can make a bigger impact than ever.” Despite announcing the layoffs on Thursday, Brown said the affected employees will not be notified until next week. Upwork has around 600 employees, so a 25% reduction would result in about 150 people losing their jobs. Coinbase cuts 14% of its staff On Tuesday, crypto exchange platform Coinbase Global Inc (Nasdaq: COIN) announced it was laying off about 14% of its staff, or roughly 700 employees. As Fast Company previously reported, Coinbase CEO Brian Armstrong cited two factors for the layoffs. The first was the recent volatility in crypto markets in general, which Armstrong said necessitated cost-cutting measures. And the second factor? AI. “We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native,” Armstrong’s email to employees stated. “We need to return to the speed and focus of our startup founding, with AI at our core.” PayPal reportedly plans to cut a staggering 4,700 jobs But the worst news this week—at least when it comes to the sheer number of job cuts—involves PayPal Holdings Inc (Nasdaq: PYPL). As the Wall Street Journal reported on Tuesday, the payments platform plans to cut around 20% of its staff over the next two to three years. The WSJ cited a person familiar with the planned cuts as the source of the information. Fast Company reached out to PayPal for comment. The information comes after CEO Enrique Lores told investors the same day that PayPal “will remove duplication and layers from our organizational structure” while accelerating its “AI adoption and automation across our operations.” If the 20% reduction is correct, it will represent approximately 4,700 jobs lost at the company over the next 24 to 36 months. View the full article

The agentic web shipped for real in April. Here's what Cloudflare, OpenAI, and Sundar Pichai all said that web professionals need to hear. The post The Agent Runtime Wars Have Begun. Is Your Website Ready? appeared first on Search Engine Journal. View the full article

It is too soon to conclude that the wave that began in 2016 with The President and Brexit has subsidedView the full article

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. Active noise cancellation, Bluetooth multipoint, app-based sound customization, and decent battery life often cost well over $50. That is why the Anker Soundcore P30i stand out at its current $24.99 sale price on Amazon, down from $49.99 and currently at its lowest price ever according to price trackers. These are built for people who want more than just basic wireless audio without spending much money, and they manage to cover most of the essentials surprisingly well. Anker Soundcore P30i Earbuds $24.99 at Amazon $49.99 Save $25.00 Get Deal Get Deal $24.99 at Amazon $49.99 Save $25.00 They are compact and lightweight, and they come with three ear tip sizes to help create a proper seal—getting the fit right can take a little adjusting because the earbuds need to sit fairly snug in the ear canal for the noise cancellation to work properly, but once secured, they stay in place comfortably during commutes, workouts, or long listening sessions. The active noise cancellation also performs better than expected at this price range, especially with low-frequency sounds like subway rumble, airplane engines, and traffic noise. Higher-pitched sounds and nearby conversations still come through more than they would on premium earbuds, but the reduction is still noticeable enough that you do not need to raise the volume aggressively in louder environments. Battery life is another strong point. You get up to 10 hours on a single charge in standard mode, or about seven hours with ANC enabled, while the charging case extends the total runtime to roughly 45 hours. You can customize tap controls, adjust EQ settings, and switch between sound profiles like Podcast, Acoustic, or Classical, depending on what you are listening to, via the companion app. Even with those presets, the sound signature stays fairly bass-heavy—making pop, hip-hop, EDM, and casual streaming sound energetic—but listeners looking for more balanced or detailed audio may find the low-end overpowering. Also, while these earbuds support Bluetooth multipoint pairing, the overall build does not feel especially premium, and there is no wireless charging. But for less than $25, the P30i offer a level of convenience and feature depth that is still rare in budget earbuds. Our Best Editor-Vetted Tech Deals Right Now Apple AirPods Pro 3 Noise Cancelling Heart Rate Wireless Earbuds — $199.99 (List Price $249.00) Apple Watch Series 11 [GPS 46mm] Smartwatch with Jet Black Aluminum Case with Black Sport Band - M/L. Sleep Score, Fitness Tracker, Health Monitoring, Always-On Display, Water Resistant — $329.00 (List Price $429.00) Fitbit Versa 4 Fitness Smartwatch (Black) — $149.95 (List Price $199.95) Apple iPad 11" A16 128GB Wi-Fi Tablet (Silver, 2025) — $299.00 (List Price $349.00) Anker 20,000mAh Portable Power Bank With Built-in USB-C Cable — $49.99 (List Price $69.99) Deals are selected by our commerce team View the full article

For the best part of two decades, we had a clear and accepted mandate: Get your brand to the top of the search results page. The problem was understood, the success metrics were agreed upon, and a supporting ensemble of tools, talent, and tactics was built around solving it. Rankings were the scoreboard. Position 1 meant visibility. Traffic followed, and a brand’s value seemed to follow it. It’s this core premise that is now under serious renegotiation with the search landscape changing more in the past 18 months than in the previous 10 years combined: AI Overviews are absorbing queries that previously generated clicks. AI/LLM platforms are becoming the first stop for research and decision-making. Zero-click is no longer a niche concern. It’s increasingly becoming the default. What’s required now isn’t a new set of tactics. It’s a fundamental change in mindset. This is the SEO problem of 2026. Let me show you why recognition is your new goal and how to earn it. The world changed faster than we did SEO has always been a discipline that chases the algorithm. We reverse-engineered signals, built strategies around them, and then scrambled to adapt when they shifted. Yes, there has always been the argument that if you cater your content to humans, you typically perform well. That said, there have been obvious shifts in the types of content that resonate with the algorithm and those that don’t, dictated by changes to the Google algorithm at specific times. It was never a perfect or complete system; anyone who worked through (or has since learned about) the Panda and Penguin years will tell you the algorithm was always a shifting target. But the fundamentals remained stable. Aim to rank well, get found, win. The shift we’re living through now isn’t a Google core update. Instead, we’re experiencing a structural change in how information is surfaced, interacted with, and ultimately trusted. 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 AI has fundamentally transformed what searchers see There’s a mental model baked into traditional SEO: If you’re at the top of the SERP, you’re visible. That model was accurate for a long time. But it isn’t now. AI and LLM platforms — whether Google’s own generative features or external tools like ChatGPT, Perplexity, or Claude — don’t crawl the SERP and pick from the top results. They build understanding from training data, citation patterns, entity relationships in knowledge graphs, and signals about who is genuinely considered authoritative on a given topic. A high-ranking page can be largely invisible to these systems if the brand behind it hasn’t established recognition and preference (a.k.a., the quality of being known, cited, and trusted beyond its own domain). Dig deeper: Entity-first SEO: How to align content with Google’s Knowledge Graph Ranking no longer equals visibility If your instinct is to treat it like another algorithm update, to find the new signals, maybe even game the new system, you are missing how dramatically the search landscape has shifted. Think about it this way: A brand can rank No. 1 for vital trophy keywords. Their domain authority is strong. Their technical SEO is clean, meeting best practices. Their content team publishes weekly. Their link profile is healthy. By every traditional metric, this brand would be seen as winning. And yet, when their potential customers ask an AI or LLM platform which brand solutions to consider in their category, this brand doesn’t come up. When Google’s AI Overview summarizes the landscape, it cites three competitors. When a journalist writes a roundup and asks an LLM to help research it, this brand is invisible. They rank. Yet it’s as if they don’t exist — because ranking well doesn’t solve for recognition. Even if the dashboards still report rankings and the tools still track positions one through ten, optimizing for a metric that’s losing its meaning is no longer a viable strategy. User behavior is also changing A growing share of search journeys now end before a user ever clicks a result, because they get the information they need without having to click through. AI Overviews takes the majority of the headlines for this, but there has also been a huge shift in the SERP towards featured snippet expansions. This is further amplified by the adoption of LLM-powered assistants that surface direct answers outside the traditional search environment. Meanwhile, queries are increasingly conversational, with more and more users asking AI tools questions the way they’d ask a knowledgeable colleague or trusted friend, and they’re expecting thorough, contextualized, and personalized answers rather than a list of blue links. In this world, the question your SEO strategy needs to answer is no longer “how do I rank?”, it’s “Is my brand the preferred option in the conversation?” And these are absolutely different questions that require different answers. How AI ‘chooses’ brands to recognize Think about how an AI model decides what to say when someone asks, “What’s the best CRM for a small B2B team?” It doesn’t run a Google search and summarize the top result. It draws on patterns it sees throughout the knowledge at its disposal: Training data. Industry publications. Reviews. Expert commentary. Forum discussions. Solution comparisons. The brands that appear in that answer are the ones that have accumulated recognition across the broader landscape, not just the one that ranks. This is becoming an invisible tax on brands that have focused exclusively on rankings. They may dominate the SERP today. But in the AI-mediated version of that same query, they’re absent. “Recognition” doesn’t have to be a vague brand concept. It has specific, measurable components. Let’s break them down. Brand awareness across the search universe This is the most basic layer. Does your brand name appear, in context, across the search universe? Not just on your own domain, but in industry publications, analyst reports, user reviews, forum discussions, podcast transcripts, and news coverage. You must also consider where audiences are spending time, because they are developing brand awareness on social-search destinations, too. AI and LLM platforms are increasingly trained on and drawing from the wider internet when answering questions. Certain domains are massively outperforming others in terms of citations from these platforms, Semrush found. If your brand is only present on your own website, you’re harder to find and aren’t in the platforms’ go-to sources. Topical authority This goes beyond keyword rankings. Topical authority means that when a given subject area comes up, your brand is consistently associated with it — not just by Google’s algorithms, but by writers, analysts, content creators, and communities. It’s the difference between a site that covers a topic and a brand that owns the conversation in people’s minds who discuss it. The signal here isn’t domain authority. It’s authority, trust, and relevance (a.k.a., preference). You are asking, “Does our brand appear alongside the recognized leaders in our space?” and “When people discuss an essential topic, are we in the conversation?” Dig deeper: Why topical authority isn’t enough for AI search Entity clarity This is the most technical layer and the one most often overlooked. An “entity” in SEO terms is a clearly defined, consistently described “thing.” This could be: Your company. Your product. Key voice or person. Key topic or conversation. Put simply, it’s something that knowledge systems can reliably identify and categorize. If your brand’s description varies across your site, your Wikipedia page (if you have one), your Google Business Profile, your Crunchbase entry, and your LinkedIn page, you create ambiguity for every system. This is as confusing for your human audience as it is for the AI/LLM layer trying to understand who you are and what you do. Entity clarity means having a canonical, consistent answer to the questions: What is this company? What does it do? Who does it serve? How is it different? Brands with strong entity clarity get pulled into knowledge graphs. They get cited. They get recognized. Dig deeper: From links to brand signals: The new SEO authority model Get the newsletter search marketers rely on. See terms. 6 things to get you started on the path to recognition True recognition cannot be built overnight. Instead, your focus is on engineering discovery that develops recognition over time. With that in mind, here are six ways to begin the process: 1. Audit your entity presence Go and look at how your brand is described in the places that matter: Google’s Knowledge Panel. Wikipedia (if applicable). Wikidata. Social media conversations. Key person/business LinkedIn profiles. Your own “About” page. You should be asking if the messaging here is consistent. If your homepage describes you as “an AI-powered B2B sales platform” while the content you discuss and share on your YouTube says “CRM software for startups,” you have an entity problem. 2. Fix the inconsistencies Write a canonical description of your company — one clear, accurate, jargon-free paragraph — and work to get it reflected everywhere. Then mold the content format to the needs of the various platforms you want to show up on. Alongside this, decide which conversations are most important to your brand and consistently look to own these topics. This is part engineering discovery, but it’s also developing your entity and the topics that contribute to that. Dig deeper: Why entity authority is the foundation of AI search visibility 3. Create citable assets There’s a difference between content that ranks on a SERP and content that gets cited. Ranking content is optimized around keywords, and too often, content has become homogenized in trying to meet the expectations of an algorithm so that you can rank. Citable content, on the other hand, is original, specific, and useful enough that other people (and AI/LLM platforms) want to reference it. Citable content is strong enough that your audience feels like they miss an integral part of a conversation by not featuring or citing the asset or source. Think original research and surveys, clear and ownable frameworks or methodologies, definitions that don’t yet exist clearly in your space, and data that journalists, analysts, creators, and bloggers actually want to quote or build upon. If the only content on your site are search-optimized blog posts, ask yourself: Is there anything here that a writer at a key niche publication or a researcher at a relevant public body would want to cite? Is there anything that a content creator would want to build upon or explore further? If the answer is no, that’s the gap to close. 4. Build off-site recognition deliberately This isn’t about traditional link building. It’s about building presence in the right conversations, be that industry publications, podcasts, analyst briefings, conference talks, social content, or community forums. Every time your brand name appears in a meaningful context outside your own domain, you’re building the recognition signal that AI and LLMs draw on and that resonates with humans in the journey. Prioritize quality of context over volume. A single, substantive mention in a respected publication is worth more than fifty low-quality directory listings. 5. Optimize for clarity and intent A keyword is a moment. Intent is a journey. Traditional SEO has trained us to think in snapshots: a user types a query, we rank for it, we win. But a real buying journey in 2026 looks nothing like that. It might start with a conversational AI query, move through a Reddit thread, surface a YouTube comparison, hit a review platform, and only then arrive at a branded search. The keyword at any single point is almost beside the point. What matters is whether your brand shows up meaningfully across the full arc of that journey — not just at the moment someone is ready to convert. Start by mapping intent honestly. What is someone actually trying to understand when they enter your space? What does the journey from problem-aware to solution-decided look like for your customer? Then audit where your brand is present, absent, or ambiguous across it. The second part is clarity. As search becomes more conversational and AI-mediated, the brands that get surfaced are those that clearly communicate what they do, who they serve, and why they’re the right choice — consistently across every touchpoint. Vague positioning might survive a keyword-match algorithm. It won’t survive a language model deciding whether your brand is the right answer to a specific human question. Be specific and consistent. Make sure your description holds up whether someone finds you on your own site, in a third-party review, or in an AI-generated summary. Dig deeper: If you can’t say what problem your brand solves, AI won’t either 6. Start measuring recognition Your current reporting probably tracks keyword rankings, organic traffic, and backlinks. I would argue that this should continue, but there should be a shift in the importance of these metrics versus the following signal: [Brand] search volume: Are more people searching directly for you? [Brand] + [Intent or Keyword]: Are more people associating you with specific topics? Unlinked mentions: Is your brand name appearing in content that doesn’t link to you? You can then use the following alongside these and begin to further understand if your brand is being recognized: Increase in referral traffic. Increase in direct traffic. Increase in quality of traffic (measured in longer sessions, per user increase in pages viewed, purchases earlier in the journey). This will then allow you to look towards the most important SEO metric there should ever be: revenue. Especially if you can assess and report on the development of average order value (AOV) and lifetime value (LTV) or the specific values of the pages that have seen higher traffic because of an increase in unlinked mentions and/or brand searches. When you begin to think about these considerations, the most important shift isn’t adding new metrics to your dashboard. It’s changing what you treat as the primary signal. Branded search volume, specifically branded search paired with intent, is one of the clearest indicators of genuine preference in the user journey and also the competitive landscape. Someone searching for you by name, combined with a buying signal, isn’t discovering you. They’ve already decided you’re worth considering. That’s recognition doing its job. The goal is to grow that signal deliberately, and then make sure that when someone arrives with that intent, you meet it head on. A branded intent search that lands on a generic homepage is a wasted moment. These users are telling you exactly what they need. Your job as an SEO in 2026 is to have already built the page, the answer, the experience that closes the gap. The supporting metrics — unlinked mentions, referral traffic, direct traffic, AOV, LTV — all tell you whether recognition is compounding into something commercially meaningful. And that’s ultimately the conversation that needs to happen in every boardroom and strategy session: Recognition isn’t a brand vanity play, it’s a revenue strategy. Rankings as the primary focus have gotten us so far. Recognition, with a view and monitoring mindset on the signals identified here, is what takes us, the SEO’s role and importance to brands further than ever before. 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 Get ready for a longer game with a bigger potential to win Here’s the uncomfortable truth about the recognition-first approach: It’s slower. You can’t optimize your way to being well-known in the same way you can optimize your way to a ranking — and I think it’s what’s most intimidating to SEOs. Recognition compounds over time, developed through consistent presence, genuine authoritativeness, relevance, and the slow accumulation of trustworthiness. But that’s also what makes it durable. Rankings fluctuate with every algorithm update, and the value of a No. 1 ranking is seemingly shrinking with every update due to the continued and increasing number of SERP features and AI/LLM integrations into the SERP. Recognition, though, once established, is much harder to displace. To own AI-mediated search in the coming years, spend this period building something that AI systems — and the increasing number of humans utilizing them — genuinely recognize as authoritative. The No. 1 ranking is a vanity metric if it ends up below the fold, stuck under a SERP of AI/LLM integrations and SERP features — ultimately ensuring nobody knows who you are. Start building recognition. Your appearance in those top-of-page SERP features and AI/LLM integrations will follow. View the full article

Sergio Ermotti tells FT it would take a ‘very profound and painful crisis’ to pressure politicians to take actionView the full article

Many people finish the workday not just tired but wired. Their mind keeps racing, their body feels tense, and even in moments that should be restful they feel a lingering sense of urgency. Conversations replay in their mind, unfinished tasks resurface, and their nervous system seems unwilling to power down. You may recognize this experience. It has become so common that it is often accepted as the norm in modern professional life. Yet this persistent state of activation carries consequences for physical health, especially for people prone to headaches. As a board-certified neurologist who specializes in headache medicine, I see a lot of patients whose pain increases from the high-pressure work culture prevalent today. While it might seem beyond your control, there are some steps you can take. Stress and the nervous system Stress is not inherently harmful. In fact, when experienced in short bursts, stress can be beneficial by increasing focus, improving performance and preparing the body to handle challenges. However, problems arise when stress becomes chronic and relentless. The nervous system perceives and processes both stress and pain. Built to be highly adaptable, it continually responds to internal signals and external factors, constantly recalibrating to maintain balance. When the brain continuously perceives ongoing demands without adequate recovery, it keeps the body in a prolonged state of alertness. During these periods of ongoing stress, hormones such as cortisol and adrenaline remain persistently elevated. In this sensitized state, signals that would typically be ignored or interpreted as minor can start to feel much more intense. This state leads to an increase in heart rate and sustained muscle tension, with the nervous system transitioning into continuous fight or flight mode. In the context of headaches, this sensitization can lower the threshold for pain, making it easier for a headache to start and harder for it to stop. Over time, this constant activation can disrupt the body’s natural balance and create an environment for headache disorders to develop or worsen. Chronic stress acts as both a trigger and an exacerbating factor for migraines. The neurological system of people who experience migraines is comparatively more responsive to environmental changes, including variations in sleep patterns, the environment, hormonal fluctuations and stress intensity. This means that persistent exposure to stress may drive up frequency and severity of migraine episodes. In addition, muscle tension in the neck, shoulders and scalp—a frequent effect of stress—can cause tension headaches, too. Extended periods of sitting, sustained concentration and physical tension during the workday can contribute to the development of tension headaches in the later hours of the day. The role of sleep Chronic stress can also have a profound impact on sleep quality. Many people who feel persistently wired at the end of the workday struggle to fall asleep or stay asleep. That fitful sleep may lack the restorative qualities necessary for recovery. Poor sleep can, in turn, perpetuate the stress cycle, leaving the brain further sensitized and increasing the likelihood of headaches the following day. This loop can be difficult to break, as fatigue reduces resilience and amplifies the sense of being overwhelmed that comes with stress. In addition to affecting sleep, chronic stress impairs concentration and cognitive function. When the brain remains in a state of constant vigilance, scanning for demands and threats, it becomes harder to focus, be creative and solve problems. As a result, productivity declines, errors become more frequent and frustration mounts, adding to the overall stress burden. Headaches that occur alongside these cognitive challenges can further disrupt daily life, making even routine tasks feel difficult. Managing work stress Understanding the connection between stress and the nervous system points to some steps you can take to shift the nervous system out of its constantly activated state. You’ll never eliminate stress entirely—that’s neither realistic nor necessary. But it is possible to create intentional space for the body to reset: Build small transitions into your day. Instead of immediately jumping from work to other obligations, take five to 10 minutes between activities to pause, breathe deeply, stretch or sit quietly. Even brief pauses can reduce muscle tension and lower stress hormone levels. Add physical activity into your routine. Regular movement, such as walking, yoga or gentle stretching, helps regulate the nervous system by processing stress hormones more efficiently. It also improves blood flow and promotes the release of endorphins, which are natural pain modulators. Pay attention to posture and ergonomics. Change the chair or screen height, take breaks to move, and relax your shoulders and jaw to prevent tension headaches. Explore mindfulness-based practices. Techniques such as meditation, body scanning and focused breathing may retrain the brain to respond to stress with greater flexibility. Try to set boundaries around work. When possible, limit after-hours email, define a clear end to your day and designate certain areas within your home as work-free zones. Seek support if headaches persist. A medical evaluation can look for underlying causes and guide appropriate treatment options. Physical therapy, behavioral therapy and pain reprocessing therapy can address physical and emotional contributors to headaches. Small, consistent strategies that address both biological and lifestyle causes of headaches can minimize the effects of chronic stress and encourage nervous system regulation. Over time, these strategies can gradually reduce headache frequency and severity, improving overall quality of life. Danielle Wilhour is an assistant professor of neurology at the University of Colorado Anschutz Medical Campus. This article is republished from The Conversation under a Creative Commons license. Read the original article. View the full article

Hiring exceeds Wall Street forecasts for second month in a row View the full article

The Iran war has caused the biggest disruption of global oil supplies in history and sent average U.S. gasoline prices surging past $4.50 a gallon this week. But the conflict hasn’t done much damage to the American job market – at least not yet. When the Labor Department’s report on April hiring and unemployment comes out Friday, it’s expected to show that U.S. companies, nonprofits and government agencies together added 65,000 jobs last month, according to a survey of forecasters by the data firm FactSet. That would be down from a surprisingly strong 178,000 in March. Ordinarily, 65,000 net new jobs a month would be unimpressive. But these are not ordinary times. Baby Boomer retirements and President Donald The President’s immigration crackdown mean that fewer people are competing for work and that the economy doesn’t need to generate as many jobs as it used to. Matthew Martin of Oxford Economics says the so-called break-even point — the number of new jobs required each month to keep the unemployment rate from rising — is now near zero. The jobless rate is expected, in fact, to have remained at a low 4.3% in April, according to FactSet. After the U.S. and Israel launched their attacks Feb. 28, Iran shut down the Strait of Hormuz, through which about a fifth of the world’s oil and liquefied natural gas passes. The disruption has caused a painful increase in the price of energy and led many economists to downgrade their estimates for global and U.S. economic growth. But the fallout isn’t showing up yet in the U.S. job market. Payroll processor ADP reported Wednesday that private employers added a solid 109,000 jobs in April. The ADP figure isn’t a reliable guide to what the Labor Department will report Friday – but the pace of hiring it showed was the fastest since January 2025. And on Tuesday the Labor Department reported that a measure of gross hiring – before subtracting those who left or lost their jobs – was stronger in March than it had been in more than two years. The economy is getting a boost from big tax refund checks this spring, arising from The President’s tax cut legislation last year; the refunds allow consumers to spend more freely, giving companies an incentive to add workers in response to rising sales. The job market is showing intermittent signs of recovery after a bleak 2025. Employers last year created just 9,700 jobs a month, fewest outside a recession year since 2002. High interest rates and uncertainty over The President’s economic policies held back hiring. There’s been progress this year, but it’s been uneven — two strong months of job growth (160,000 new jobs in January and 178,000 in March) and one bad one (employers cut 133,000 jobs in February). U.S. hiring, though, has been dominated by one industry: Healthcare companies, catering to an aging American population, have added 360,000 jobs over the past year; other employers have combined to cut 120,000 over the 12 months that ended in March. Diane Swonk, chief economist at the KPMG accounting and consulting firm, warns that the healthcare hiring boom may not last. The Republican Congress last year allowed subsidies for health insurance under the Affordable Care Act (Obamacare) to expire. The President’s tax bill slashed Medicaid spending for the poor, and his administration has imposed a $100,000 fee on H-1B visas. “Rural and poor urban hospitals rely most on H-1B doctors and nurses to fill open positions,” Swonk wrote in a commentary Monday. “They cannot afford the new $100,000 fee for visas. Many rural hospitals have already closed.” Going forward, Oxford’s Martin wrote in a commentary Wednesday, “the question is whether the war will reverse (hiring) momentum. Heightened uncertainty impacts the labor market with a lag, and the fiscal stimulus from higher refunds will eventually wane, particularly as gas prices remain elevated.” —Paul Wiseman, AP Economics Writer View the full article

Google adds subscription labels and inline links to AI Search. Amsive maps core update winners and losers. Plus Mueller on vibe coding and Preferred Sources. The post New AI Search Links, Core Update Winners And Losers – 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. Google’s Pixel Buds line has long appealed to Android users who want the convenience of AirPods without paying flagship-earbud prices, and the new Google Pixel Buds 2a continue that approach with several meaningful upgrades over the older Pixel Buds A-Series. Right now, they are down to $109 from $129 on Amazon, their lowest price so far according to price trackers. That discount makes them much easier to recommend for anyone looking for everyday earbuds with “almost pro-level specs but for much less,” as our writer put it in her review. Google Pixel Buds 2a Wireless Bluetooth Earbuds with ANC $109.00 at Amazon $129.00 Save $20.00 Get Deal Get Deal $109.00 at Amazon $129.00 Save $20.00 Part of the reason the Pixel Buds 2a stand out is that Google did not treat them like stripped-down budget earbuds. PCMag even called them the best earphones for Android users, and the hardware helps explain why. Google added active noise cancellation to the A lineup for the first time, improved the battery life, and redesigned the fit so the earbuds sit deeper in the ear canal and twist into place more securely, much like the more expensive Pixel Buds Pro 2. They also use the same Tensor A1 chip found in the Pro model, which means features like Gemini voice access, adaptive audio processing, and the customizable five-band EQ are just as good. Sound-wise, the 11mm drivers deliver balanced sound that works especially well for podcasts, pop, hip-hop, and casual streaming, even if these are not earbuds aimed at audiophiles chasing the most detailed sound possible. Comfort is another strong point, especially since Google includes four silicone tip sizes, and getting the seal right noticeably improves both fit and noise cancellation. Speaking of, the ANC handles airplane engines, subway rumble, and traffic noise fairly well, although voices still come through more clearly than they do on premium earbuds from Sony or Bose. As for battery life, it’s respectable at up to seven hours with ANC enabled and around 20 total hours with the charging case. There are still a few compromises, including the lack of wireless charging and the absence of a charging cable in the box. You also lose some extra sensors and a microphone compared to the Pro model, so call quality and fitness tracking are slightly less advanced. Our Best Editor-Vetted Tech Deals Right Now Apple AirPods Pro 3 Noise Cancelling Heart Rate Wireless Earbuds — $199.99 (List Price $249.00) Apple Watch Series 11 [GPS 46mm] Smartwatch with Jet Black Aluminum Case with Black Sport Band - M/L. Sleep Score, Fitness Tracker, Health Monitoring, Always-On Display, Water Resistant — $329.00 (List Price $429.00) Fitbit Versa 4 Fitness Smartwatch (Black) — $149.95 (List Price $199.95) Apple iPad 11" A16 128GB Wi-Fi Tablet (Silver, 2025) — $299.00 (List Price $349.00) Anker 20,000mAh Portable Power Bank With Built-in USB-C Cable — $49.99 (List Price $69.99) Deals are selected by our commerce team View the full article

Ad revenue headlines missed the real story from Reddit's Q1 2026 earnings. The strategic shift for organic marketers runs much deeper than DAU numbers. The post The Reddit Earnings Story Most Marketers Missed appeared first on Search Engine Journal. View the full article

As artificial intelligence use skyrockets, tech companies are racing to build data centers, the infrastructure needed to run and teach their models. There are roughly 4,000 data centers around the U.S., with reports suggesting 3,000 more are coming online soon. Just one problem: No one seems to want a data center in their backyard. Communities oppose them because they consume massive amounts of energy and water and pollute the environment. Another concern? Data centers are major eyesores. These complexes can span hundreds of acres and usually feature uninspiring, windowless concrete facades. Built quickly, efficiently, and as inexpensively as possible, their design is determined by practicality, not aesthetics. As more and more continue to pop up, fed-up observers of the trend are turning to social media to propose fantastical AI-generated renders of what these structures could look like. Could and should a data center resemble the Shire? An Alpine spa? A castle? These are just a few of the ideas circulating. Genuinely if datacenters looked like this, the nimby angst around them would drop by half https://t.co/ETEKBdeLGZ pic.twitter.com/cKrEc2yjaJ — Lulu Cheng Meservey (@lulumeservey) May 5, 2026 Venture capitalist Joshua Kushner sparked the conversation with a post saying, “make data centers aesthetically beautiful,” though he didn’t offer any specific visual suggestions. One X user who created an AI rendering of a data center tucked into a hillside, just like the hobbit houses in J.R.R. Tolkien’s Middle-earth, posted: “Genuinely if datacenters looked like this, the nimby angst around them would drop by half.” The ideas are far out. One armchair designer (who also happens to be an editor at The Economist) shared a data center dressed to look like a medieval stone castle, writing, “Many people do not seem to want data centres built near them, despite the fact that they don’t cause that much traffic and often generate a lot of local tax revenue. I suspect it’s partly because they’re ugly!” He also posted a render that imagines a data center done up to look like the Parthenon, captioning the image: “This is not beyond our abilities.” This is not beyond our abilities pic.twitter.com/uStrdL6r3P — Mike Bird (@Birdyword) April 30, 2026 While those proposals might be more joke than reality, others are finding a lesson in the discussion about data center aesthetics. “To me, the opportunity here is not greco-or-techno-futurism,” designer Joshua Puckett said on X. “It’s to create a regionally inspired form that settles into the land rather than stand in defiance of it.” He also shared renders of a hypothetical data center in three different cities: Sydney; Denver; and Columbia Basin, Washington. The design features an undulating, serpentine roof that blends into its surroundings. To me, the opportunity here is not greco-or-techno-futurism. It’s to create a regionally inspired form that settles into the land rather than stand in defiance of it. Conceptual renderings for Sydney, Denver, and Columbia Basin as examples. Landmarks, not eyesores. https://t.co/ZGPOcEL8Nz pic.twitter.com/yyTV7Jh9D5 — joshpuckett (@joshpuckett) May 1, 2026 Sure, these are social media gimmicks. But for those in the architecture field, the AI renderings also illuminate tensions about what is actually buildable and why. Architect Sean McGuire didn’t mince words. “Every day I open this app to another bird-brained take: ‘Why won’t designers make it pretty, look what I cooked up in 0.0003 seconds in ai,’” he posted on X. The issue isn’t necessarily designers’ will; it’s the policy around construction. “Begging people to spend five seconds learning why buildings look the way they do,” he wrote. “It is code. It is financing. It is policy. Aesthetics are downstream of all of it (unless mandated in zoning! which usually fails!). Your AI rendering is a screensaver. Infrastructure CAN be beautiful, we need to set our expectations at a reasonable target.” Every day I open this app to another bird-brained take: “why won’t designers make it pretty, look what I cooked up in 0.0003 seconds in ai.” conceptualization is NOT the bottleneck. a pro forma is. no underwriting model has a line item for vibes. Land, debt, labor, cap rates… https://t.co/8yMAkxOLgw — sean mcguire (@seanw_m) May 2, 2026 But is beauty really the main problem? Discourse around data centers is not only on their rather boring exteriors, but also how energy-intensive they are to run. No matter how beautiful we make data centers on the outside, these core problems remain. But still, more data centers will be built. Regardless of whether the new structures will look like something out of a movie or more grounded in reality, the rapid expansion does present a blank canvas to build beyond just practicality. “The warehouse design approach of most data centers is the architectural equivalent of burying one’s head in the sand,” Fast Company’s Nate Berg argued in December last year. “The boring design of data centers is a missed opportunity to counter their negative externalities with at least a little upside.” View the full article

Artificial intelligence is constantly in the news, and it’s one of the most talked about topics among our Fast Company Impact Council members. Its use and acceptance levels are changing daily, with company direction on how to approach it changing alongside that. Boards, leadership, teams, and customers are also reassessing AI usage in the workplace and in the work product. We asked our Impact Council members what kinds of attitude changes toward AI they are seeing in their ecosystem. This question drew an onslaught of replies—clearly a topic everyone has thoughts about. We are sharing 26 of their responses, ranging from the theoretical to unusual use cases. 1. MOVE AWAY FROM GENERIC USES There’s a divide in how leaders are using it in their communications with teams and the public. There’s a group that is being more passively led by the capability, writing generic content which doesn’t actually sound like them, full of “it’s not this, it’s that,” and dramatic three-word sentences. Arguably it’s doing more harm than good for them. And then there’s a smaller group that is investing time in it to make the LLMs an extension of themselves, using it for their passions, creating custom GPTs, vibe coding useful web apps, training it how to write like them. And you can see them scaling their impact in a really cool way. — Neil Barrie, TwentyFirstCenturyBrand 2. FROM INVESTMENT TO OPERATIONALIZATION Across the board, we’re seeing a shift from what AI investments you’ve made to how AI is operationalized, into process and workflows. Grand pronouncements about AI are meaningless if the benefits aren’t made tangible. For our teams, that translates to a shift from general AI training sessions to functional, role-based sharing of use cases and how AI can streamline work, save time, and drive efficiency, in practice versus theory. We’re also seeing a surprising dichotomy, especially in our younger staff, between those who fully embrace AI and those who are skeptical, if not resistant to AI based on its ethical and environmental impact. — Celia Jones, FINN Partners 3. AI’S IMPACT IS DRIVING URGENCY There has been a clear shift in attitude toward AI across the board, especially among our customers. While education has traditionally adopted new technologies with caution, the profound impact AI is already having on the workforce is driving urgency. That urgency is accelerating experimentation, but it’s also raising the bar. Educators and institutions are no longer just exploring what AI can do. They are now asking how it can be applied in ways that meaningfully solve real challenges and drive improved learning outcomes. — Darren Person, Cengage 4. IT’S NOW EXPECTED, NOT EXPERIMENTAL The conversation around AI has flipped. It’s no longer experimental, it’s expected. Boards and customers aren’t asking “if,” they’re asking, “where’s the impact?” Internally, our team members are moving faster than expected past the fear narrative to curiosity and adoption. — Steve Holdridge, Dayforce 5. IMPACTS TO GOVERNANCE Governance leaders are shifting their focus from “How do we slow this down?” to “How do we move faster without losing control?” Because when governance doesn’t keep pace with AI’s speed and scale, the risk is both operational and existential. Businesses don’t just risk AI projects going live without proper guardrails—and the compliance and trust issues that follow. They also risk stalling innovation and losing ground to competitors. This reality is reshaping the mindset around AI governance, where speed is no longer a nice-to-have but a fundamental requirement. — Blake Brannon, OneTrust 6. GROWING USAGE Attitudes toward AI are shifting quickly. AI’s potential is strong, and it’s increasingly being used in the workplace. This usage is exposing where major faults still lie, understandably leading to hesitation to adopt. Today, most of the use is for individual or team productivity, but it’s expanding. As the technology improves, I anticipate AI will extend through many business functions, especially regarding repeatable tasks and processing large amounts of data. We’re already seeing companies and educational institutions establish organizational hierarchies to perform work with AI agents alone, underscoring the pace of adoption. — Andrea Montecchi, Oliver Wight 7. HOW FAST CAN IT SCALE? The shift is clear: AI has moved from “Why?” to “How fast can we scale it?” In our global design practice, it’s no longer experimental—it’s embedded in everyday workflows from research to concepting to decision-making. The smartest leaders start with one high-impact use case, prove value quickly, and expand from there. The competitive edge now belongs to organizations that treat AI as a core capability, not a future bet. — Susan Watts, SPACECRAFT LLC 8. MEANINGFUL COMPANY DIFFERENTIATOR From my perspective as a CMO, attitudes toward AI—both internally and with stakeholders—have shifted dramatically in a very short time. AI is no longer viewed as a supporting tool, but as a core leadership capability and meaningful company differentiator. Organizations that embrace AI recognize that its true value is strategic. While efficiency gains and faster time to impact matter, the greater advantage is AI’s ability to drive smarter decisions, competitive differentiation, and sustained growth—outweighing earlier concerns or hesitation. — Felicity Carson, onsemi 9. MISSION-CRITICAL AMBITION In a few months, AI has gone from aspirational and experimental to a mission-critical ambition. Brands, humbled by early experiments and vendor overpromising, have tempered their expectations while the quality of the models has taken a real leap since late 2025. The result is a narrowing gap between AI expectations and reality. — Pierre-Loic Assayag, Traackr 10. AI AS PARTNER Our teams are beginning to see the potential of AI, and slowly but surely warming up to the era of AI as a partner. The adoption, though, hinges on trust, performance, quality, and most importantly, output accuracy. It’s also clear that the competency to supervise, govern, and execute AI skills is critical for how each team member can leverage the most out of AI. — Arin Bhowmick, SAP 11. HOW TO MEASURE WHAT’S WORKING I’ve been working with AI since the 1990s at NASA, applying neural networks to space shuttle simulations and robotic brain surgery, so I have a long frame of reference. Being an early adopter matters and we leaned into AI at Age of Learning before it was mainstream. This gave our teams the comfort and fluency to move fast when the technology took off. Today almost 90% of our code is created by engineers with AI support, and our board has shifted from “What’s our AI strategy?” to “How do we measure and scale what’s working?” That’s the right question for any leadership team to be asking right now. — Alex Galvagni, Age of Learning 12. FROM UNCERTAINTY TO INTENTION The tone has shifted from uncertainty to intention. People are moving past the question of whether AI matters and focusing on how to use it responsibly and safely. In my industry, they’re finding ways that create value for students and educators. We use AI to help educators build confidence using it in the classroom. We partner with industry to provide the comprehensive support schools need as this technology reshapes learning and work. AI in education is not just about exposure to a tool. It is about preparing students to think critically, innovate, collaborate, and lead in a world where AI will touch every industry. — Kellie Lauth, MindSpark 13. PRODUCTION INFRASTRUCTURE The big shift is from AI as a side experiment to AI as production infrastructure. A year ago, teams were trying a few tools in the corner; now AI is baked into real workflows across engineering, support, and ops. Security teams are playing catch-up, not because they were asleep at the wheel, but because the volume and variety of tools exploded all at once. The new question isn’t whether to use AI; it’s how to get visibility and control over what’s already in use without slowing everyone down. — Avery Pennarun, Tailscale 14. FROM CURIOSITY TO EXPECTATION There’s been a clear shift from curiosity to expectation. AI is no longer a side conversation; it’s embedded in how we prototype, iterate, and scale ideas through proprietary platforms and our broader innovation ecosystem. But we’re disciplined about it. AI is only as powerful as the humans directing it, and we see it as a multiplier of creative thinking, not a replacement for it. The real unlock is pairing the speed of AI with the judgment, taste, and ambition of the right creative and strategic leaders. — Emily Wilcox, TBWA\Chiat\Day NY 15. IT’S BECOMING TABLE STAKES There’s been a clear shift. AI is no longer a differentiator, it’s becoming table stakes. Our customers aren’t asking if we use it; they expect it to drive transparency, speed, and smarter decisions across the supply chain. The real risk is adopting AI without discipline. As we build AI fluency, we have to stay human-led and monitor how model performance influences overall impact. Judgment, context, and accountability increasingly matter. The advantage will come from using AI better than everyone else. — Clare Woodford, Alpine Group—Paradise Textiles and Alpine Creations 16. CREATES VALUE WHEN GROUNDED IN DATA The conversation is maturing fast. The expectations have always been high; the question has been of readiness. Boards, customers, and teams all want to see AI working at the last mile, within real processes, producing real outcomes. “Just add AI” is where AI goes to die. There’s growing excitement, but it’s paired with pragmatism and a clear understanding that AI only creates value when it’s grounded in data, embedded in workflows, and owned by people who know the work. — Balkrishan “BK” Kalra, Genpact 17. HOW FAST TO ADOPT? AI is no longer a discussion about the future. It has become a conversation about who will be left behind. Ramping up adoption within the company and the industry is no longer theoretical, it is a mandate. Even six months ago, conversations around AI were still around whether to adopt it. Now it’s simply where, how fast, and what can it unlock. What is possible now has completely leveled the playing field for time and cost to build technology. — Regan Parker, ShiftKey 18. JOB CANDIDATES CARE From a talent perspective, AI has gone from a “nice to have” to a baseline expectation. Candidates are actively evaluating how organizations are integrating AI into their internal operations, and if a company isn’t leaning in, it raises bigger questions about its approach to innovation. It’s a signal of mindset, agility, and future readiness. — Meredith Rosenberg, NU Advisory Partners 19. MORE REFINED POSITION ON AI One of the biggest shifts I’ve seen, both within our teams and in how we counsel clients, is a more refined AI position: AI-powered, human-led. It’s how you build trust in this era of AI slop. In the early days, generative AI was seen as a shortcut to content production, but we’ve learned that a thousand nearly identical, obviously AI-generated posts drive content value to zero. Now, the goal is to lead with human experience and creative dot-connecting, with AI supporting the work, helping to edit, refine, or ensure tonal alignment. — Tyler Perry, Mission North 20. AI FEELS INEVITABLE There is absolutely a shift in attitude toward AI at both the board and team level. What felt experimental now feels inevitable. Teams are adopting AI through gateway use cases like search, drafting emails, summarizing materials, and note taking. These are building confidence and encouraging further experimentation. At the board level, the conversation has moved from curiosity to accountability, with a focus on ROI, risk, and governance. The real shift is from efficiency to redesigning work. The real risk right now is treating it as a side tool instead of a core business transformation. — Tami Rosen, executive and board member 21. A LEADERSHIP IMPERATIVE AI is now prompting much deeper conversations about the workforce and about whether people are truly prepared for what is changing around them. Leaders are asking harder questions about how roles are evolving, what skills talent needs to bring, and how quickly their own teams and customers need to build new capabilities. The most important shift is the recognition that AI is no longer a tool to experiment with, but a leadership imperative about making sure people can use it thoughtfully, apply it responsibly, and understand where human judgment and accountability still need to lead. — Justina Nixon-Saintil, IBM 22. A BASELINE TOOL There’s a clear shift from curiosity to expectation, but then with a layer of guilt and uneasiness. At first, when work product was clearly AI-generated, it was dismissed. Now if it’s clear AI was not used, it raises red flags. There must be balance, wording that is clearly in your voice, and consistency and understanding. Our team and partners see AI as a baseline tool, not an experiment, especially for research, iteration, and communication. But in the end, decision-making must be human. Customers don’t ask about AI directly, but they feel the speed and clarity it enables. — Ben Wintner, Michael Graves Design 23. NEEDS EVALUATION The technological landscape is evolving rapidly, and companies today either choose to adapt and lead, or remain stagnant and fall behind. Partners, customers, and stakeholders expect smarter, faster, and more transparent operations. Because of this, AI is a tool that needs evaluation to determine if it can help meet those demands while driving measurable value and as a lever for operational efficiency and competitive advantages. At the same time, this technology comes with responsibility. As we integrate AI into businesses, we need to maintain strong safeguards around data and how we activate these innovations within our operations. — David Klanecky, Cirba Solutions 24. IT BOOSTS INCLUSION We embraced practical AI use early—for productivity, organization, and as a creative thinking sparring partner. We’ve seen growing adoption and positive feedback from within our org and users on our AI chatbot, which accurately answers questions about neurodivergence. With a third of our team identifying as neurodivergent, we’re also interested in AI’s impact on this community. Our recent survey suggests AI is empowering neurodivergent employees, with over half saying it’s increased their confidence applying for higher-level roles they’d avoided. When used to support people—not replace them—AI can boost productivity and inclusion. — Nathan Friedman, Understood.org 25. PEOPLE DEPEND ON IT DAILY The attitude shift around AI is profound. Consumers aren’t just adopting AI, they expect it to understand their lives. A year ago, people were experimenting with AI; now they depend on it every day. As comfort grows with the technology, expectations become greater. We’re seeing a rising demand for ambient AI, that reads the room and acts. No one wants to prompt their way through life in the long term. We’re focused on shaping AI as an infrastructure that disappears into the background and integrates across devices and systems. We want to build technology that delivers on “what’s missing” before the consumer even needs to ask. — Yoonie Joung, Samsung Electronics America 26. START FROM THE MARGINS With AI evolving rapidly, attitudes can’t stay static. We believe in building with communities, not for them. The most effective AI adopters start from the margins rather than the technology. Our Solvers—entrepreneurs tackling global challenges—use AI to compress timelines that once took a decade. LifeBank in Nigeria uses AI-driven logistics to reach 3,000 hospitals and 40 million people; SXD applies AI to zero-waste design, cutting CO₂ emissions by 80%. Urgency and scarcity can drive more thoughtful, human-centered AI than I see elsewhere. — Hala Hanna, MIT Solve View the full article

Improving technical SEO on your site may not be enough to move the needle these days. Once a site reaches technical parity with its competitors — the point at which a proper infrastructure no longer gives you an advantage — Google shifts its ranking criteria toward relevance. And relevance is determined by aligning with search intent. Let’s talk about how to make your site more relevant. Why an intent mismatch may be suppressing your site’s performance An intent mismatch occurs when the copy on a page doesn’t match what the user is expecting to find on it. This happens when pages aren’t relevant to a topic or have mismatched signals. This generates poor behavior signals — users click through from a SERP, see that the page doesn’t answer their need, and leave. Google interprets these signals as evidence that the page doesn’t satisfy the query. This can lead to a decline in rankings, which means fewer users see the page, which means the behavioral signals worsen. It’s a feedback loop that technical SEO alone can’t resolve. 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 Technical SEO improvements may no longer make a difference In the early stages of implementing an SEO strategy, the needle can move quickly. If a site is operating below the technical baseline needed for Google to properly evaluate it, applying simple fixes — such as fixed crawl errors, resolved duplicate content issues, improved page speed, and adding schema — can produce big gains. However, after these changes, your site’s technical foundations are now comparable to those of your main competitors — you hit a ceiling. Now, Google isn’t ranking pages based on which ones it can access the easiest, but on those that best satisfy the user’s query. Your technical infrastructure, or lack thereof, no longer disadvantages you, but now the rules of the ranking game have changed. This is where intent alignment becomes the primary lever for improvement. Signals that reinforce search intent Elements that have an impact on a page’s intent, and how Google decides whether the intent matches the page, include: Click-through rate. Engagement signals. Core Web Vitals. Schema type. Internal linking anchor texts. URL structure. Click-through rate (CTR) Click-through rate can be determined by your title tag, meta description, URL structure, and schema. It is also measured against intent. For example, if your title tag is optimized for a keyword but doesn’t match the user’s query, your CTR will drop. Google treats a low CTR as a relevance signal and adjusts rankings accordingly. Engagement rate Time-on-page, scroll depth, and interaction rates can suffer when intent doesn’t align with a page. If a user is searching to purchase something but lands on a how-to guide, they may exit that page within seconds. The same can be said of a user looking for an emergency plumber who lands on a page without a phone number. Engagement signals feed directly into how Google evaluates a page’s usefulness for a given query. Core Web Vitals (CWV) The three Core Web Vitals — Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS) — determine page loading speed. A transactional page that loads slowly suffers more than a slow-loading informational article. With the transactional page, the user is ready to buy and their patience is minimal, whereas a reader in research mode can tolerate a longer wait. CWV thresholds matter everywhere, but their impact on conversion and bounce behavior is greater on high-intent pages. Schema type Schema markup tells Google explicitly what type of content is on a page. Generally: Article/HowTo is informational. Product is transactional. FAQ is informational and commercial. Local business/event is navigational. When schema type contradicts the content on a page, Google gets a conflicting signal, resulting in a traffic drop. Internal linking anchor texts The anchor text of internal links tells Google about the page that’s being linked to, including its intent. If a transactional landing page receives internal links with informational anchor text — “learn more about X,” rather than “get a quote for X” or “buy X” — the intent signal Google receives about that page’s purpose gets diluted. URL structure Google uses URL patterns to infer page type. For example, URLs sitting under /blog/ are treated with informational bias. A product or service page buried under a blog path fights against that structural expectation, regardless of its content, and it may not rank well. Cannibalization and canonicalization If your site has multiple pages targeting the same keyword but with different intents, neither is likely to rank well. They compete against each other and dilute the signal Google receives. To fix, use canonical tags to clearly signal which page is the preferred one for a given keyword, consolidate or redirect competing pages where appropriate, and ensure your internal linking reinforces the canonical choice. Get the newsletter search marketers rely on. See terms. How to fix intent misalignment Here’s an example of a common intent mismatch and some steps to audit your content and fix it. What an intent mismatch looks like For example, if a user searches for “financial analysis software,” they’re looking to buy software. The keyword phrase is highly transactional. But if your site targets this keyword phrase for an informational blog post that explains how a person can complete a financial analysis report themselves, this creates a mismatch. The user is looking for a product that does the analysis for them, which means they want to compare features, understand pricing, see integrations, or book a demo. The keyword phrase should be applied to a dedicated product or landing page that clearly outlines functionality, benefits, use cases, and pricing. This would align more with the user’s needs, resulting in more inquiries, leads, and conversions. Identify the intent of your pages To fix intent mismatches, to start, compile a list of the top performing keywords that best describe your business and manually check the Google rankings for each. This initial research will tell you exactly what type of page and copy you should have for these keywords. For example: Knowledge panels, AI Overviews, and People Also Ask boxes usually appear for informational searches. Paid results usually suggest commercial intent. Shopping feeds suggest a transactional keyword. Next, add the keywords to a spreadsheet and add a column for intent. Work down the list, adding whether you think the page is informational, commercial, transactional, or navigational. You can then create another column that states the type of page that will rank well: Informational: Blog or resource content. Commercial: Service or landing pages. Transactional: Collection, category, or product pages. Navigational: Brand, specific service, or specific location pages. See what your competitors are doing Research your competitors’ pages for the keywords you’re targeting. Analyze and note what they have that your pages don’t have. They may have: Tables. Comparisons. Calculators. Tools. FAQs. Reviews. Step-by-steps. Images. Videos. And more. Consider how to improve your own pages to match theirs. Measure your page’s performance based on intent metrics Once you’ve made changes to your pages, track their performance to see whether they helped. Look at: Clicks and impressions for intent-aligned keywords. Rankings for core target queries. Time on page. Conversion rates, particularly those of previously underperforming pages. Technical SEO still plays a decisive role Technical SEO is still important, especially for complex, enterprise-scale sites. Here are some ways that technical SEO work can still move the needle significantly, in ways that content optimization alone can’t. Crawl budget management An ecommerce site with thousands of URLs can have its crawl budget consumed by low-value pages before its allotment reaches high-intent category and product pages that you want to rank. Cleaning up low-value pages is purely technical work and will ensure your crawl budget goes toward pages that count. International site architecture Technical SEO is crucial when handling international sites that contain pages in multiple languages. A keyword that’s purely informational in one market may be transactional in another, reflecting different buyer behaviors and levels of market maturity. Hreflang implementation, regional subdomain or subdirectory structures, and URL strategies all affect whether the right page, with the right intent, reaches the right audience. Log file analysis A log file analysis will reveal which pages Google is successfully crawling and how frequently they are. For sites with intent alignment problems, Google often spends a disproportionate amount of attention crawling low-value or misaligned pages, while high-intent pages are visited infrequently. For small sites with a clean structure and limited number of URLs, technical SEO can reach parity quickly, so the need to shift to intent alignment happens sooner. For large, complex sites, technical and intent work often need to happen in parallel. 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 Technical SEO and intent need to work together Technical SEO is still important today — think of it as a foundation that the rest of the site sits on. Pages that can’t be crawled, indexed, or rendered correctly will be unable to rank, regardless of how well their content matches user intent. Think of intent alignment as the ceiling — it’s what determines how high a technically sound page can rank, and whether it converts the traffic it earns. Every page on a site should have a clearly defined intent, expressed in the right format, with the right content type. And they should also be supported by technical signals, be it schema, URL structure, relevant anchor text, etc., so that the page’s intent is constantly reinforced. View the full article

Google proposed a number of changes to the EU in order to avoid fines from the European Union. One of those changes is around the site reputation abuse policy, which the EU watchdog said directly impacts a common and legitimate way for publishers to monetize their websites and content.View the full article

Google AdSense (and Ad Manager) will drop the browser back button trigger for vignette ads additional triggers due to the new Google search penalty for back button hijacking. Google AdSense will drop it on June 15, 2026, the day the search penalty goes into effect.View the full article

Hello again, and welcome back to Fast Company’s Plugged In. Upon hearing of a celebrity’s death, have you ever been startled to realize that they hadn’t left us long ago? That happened to me last weekend. Except the dearly departed in question wasn’t a person, but a company: Ask.com, the web property forever better known by its original brand, Ask Jeeves. For years, I wrote about Ask quite regularly. But when its owner, media conglomerate IAC (which is in the process of changing its own name to People Inc.), announced it had shut down the site as of May 1, it was its first time in the news in more than 15 years. The last time before that was in November 2010, when IAC gave up on Ask being a general-purpose search engine and turned it into a user-generated Q&A site. At some point in between those two moments, Ask had morphed into a bottom-feeding portal for articles so out of date that “10 Best Documentaries of 2022—So Far” was one of the headlines on its homepage when IAC pulled the plug. In other words, it’s been a long time since Ask.com mattered. And yet its demise inspired a flurry of nostalgic reveries, focused on its early days, original name, and cartoon butler mascot. That residual fondness reminded me that once upon a time, the company really had something. But instead of capitalizing on what it had created, it gave up—just before it might have been able to fulfill its vision. Ask Jeeves debuted in 1997, a moment of great expectations for the nascent field of internet search. As the web exploded with content, Ask Jeeves was one of a bevy of startups that emerged to organize it. Yahoo and AltaVista were the big dogs, but others included Excite, Lycos, HotBot, LookSmart, Northern Light, and WebCrawler. Meanwhile, a couple of Stanford graduate students, Larry Page and Sergey Brin, were working on their own search algorithm. When Google launched in 2008, its results were clearly the best in the business, and its ascent was rapid. In 2001, Ask Jeeves responded by buying a startup called Teoma, whose relevance-ranking algorithm was a credible rival to Google’s PageRank. The move certainly felt like a sizable whoop at the time. Or at least it wasn’t yet a given that Google’s momentum was unstoppable. In 2003, however, Google overtook Yahoo as the dominant search site. After that, there was never a moment when Ask Jeeves, or anyone else, was poised to catch up. Google’s market share steamrolled to 90%-plus, leaving its rivals squabbling over what little remained. But even after IAC took control of Ask Jeeves—the conglomerate bought it for $2 billion in July 2005 and quickly eliminated the “Jeeves” from its name—you couldn’t accuse the site of doing too little in search of success. Instead, it was all over the place, flinging new ideas at the wall and barely waiting to see if they stuck before moving on to new ones. In June 2007, it released an all-new design that offered tons of useful features Google lacked at the time. By October of the following year, however, it had dumped many of them in favor of an experience that felt like warmed-over Google. As an IAC property, Ask advertised constantly on TV, but never landed on a brand promise that stuck. At one point, its commercials positioned the site as being for serious searchers who craved advanced tools. Then they claimed it offered “instant getification.” Sometimes they didn’t offer any reason to try it beyond the fact that it wasn’t Google. All along, I rooted for Ask, simply because even hapless competition for Google served consumers better than no competition at all. But it floundered so publicly that it wasn’t surprising when IAC downsized it to a mundane Q&A platform almost 16 years ago. Okay, back to 2026 and the eulogies inspired by Ask.com’s shuttering. As far as I can tell, nobody ever cherished that brand. But boy, did Ask Jeeves and its butler lodge themselves in people’s brains. The vast majority of headlines mentioned both, more than 20 years after they putatively entered retirement. (IAC did bring back Jeeves in the U.K. in 2009, in a more dynamic computer-rendered version who bore an eerie resemblance to its chairman, Barry Diller—or at least I thought so at the time.) In its pre-IAC period, Ask Jeeves bet big on the appeal of its affable, balding mascot, who it maintained was unrelated to writer P. G. Wodehouse’s legendarily capable manservant, though it added a credit to its homepage after the Wodehouse estate complained. A company representative told Salon’s David McDonough that it wanted to make the character as familiar as Popeye. In 1999, Jeeves rode on a float in the Macy’s Thanksgiving Day Parade; the following year, he was upgraded to full balloon status. If you’d compiled a list of the internet’s most familiar fictional characters around the turn of the century, Jeeves would have been on it, along with the dancing baby, the Pets.com sock puppet, and BonzaiBuddy. Apparently IAC preferred a more modern, less whimsical image for its search engine. Still, when it did away with Jeeves, it torched a massive amount of brand equity. Ask also failed to build on its original potential in a more fundamental way. Ask Jeeves’s very name suggested that it wasn’t about searching the World Wide Web so much as getting answers to questions. Back then, it was a fuzzy distinction, since the answers you sought were generally scattered across the web. But even as IAC was exiting the search business, Google was working on a technology called the knowledge graph. When it appeared, in 2012, it dramatically increased the percentage of questions the search engine could answer without routing users to other sites. Ask Jeeves could have offered similar features had it remained in the game. If the site had held on as a search engine all the way into the generative AI age, it might have become the product it always aspired to be: an engaging, hyper-knowledgeable assistant with an uncanny ability to field questions on any topic. Today, Jeeves could also help us manage our calendars, buy stuff, and take care of personal and professional business far outside the realm of 1990s search engines. He could be the ultimate AI agent—and being personified as a cartoon butler would make perfect sense. (In 2023, Ask Jeeves cofounder Garrett Gruener told The Atlantic’s Charlie Warzel that he was proud of the product’s prescience and didn’t feel too bad about losing the search wars to Google.) As I was mulling over what might have been, it dawned on me that even if IAC failed to seize the opportunity to infuse Jeeves with AI, I could. Chatbots are adept at role-playing, a fact that is often disturbing. But their willingness to take on a persona let me whip up a prompt to turn any bot into a butler. Voilà: “Until I request otherwise, take on the role of Jeeves, an experienced, helpful, extraordinarily competent British butler. Respond to my prompts in a dignified, slightly reserved manner that is deferential but not obsequious. Behave as if you are a salaried employee but also sincerely concerned about looking out for me. Use information you know about my interests and habits to facilitate efficient and thoughtful responses. Decline to undertake any requests that are inappropriate.” Plugging in these instructions to ChatGPT, Claude, Gemini, and Copilot got me entertaining results—especially in the case of Claude, whose stock personality is crisp and professional in the first place. I don’t plan to use them forever, but resuscitating Jeeves for a few days seems like an appropriate way to mourn one of the 20th-century internet’s true giants. If you’re similarly inclined, give them a try in your favorite chatbot, and let me know what you think. You’ve been reading Plugged In, Fast Company’s weekly tech newsletter from me, global technology editor Harry McCracken. If a friend or colleague forwarded this edition to you—or if you’re reading it on fastcompany.com—you can check out previous issues and sign up to get it yourself every Friday morning. I love hearing from you: Ping me at hmccracken@fastcompany.com with your feedback and ideas for future newsletters. I’m also on Bluesky, Mastodon, and Threads, and you can follow Plugged In on Flipboard. More top tech stories from Fast Company A PC trade-in rush is on the way—and it’s coming at the worst possible time As millions of pandemic-era PCs near the end of their lifespan, consumers are running into soaring hardware prices driven by the AI boom. Read More → Grok’s usage is so low that Elon Musk can sell compute to Anthropic Anthropic says it’ll use all the AI compute capacity from SpaceX’s ‘Colossus 1’ data facility in Memphis. Read More → Bose is rebooting its smart speakers for the Sonos haters The audio giant spent years reviving its classic Lifestyle speaker line, with hopes of making it future-proof. Read More → OpenAI’s trillion-dollar AI bet is a study in ‘riskmaxxing’ The AI giant is betting its future on a rapid increase in demand for frontier AI models in the coming years. Read More → Chinese humanoids are leaving American robots in the dust Asia is spending billions on the development and deployment of humanoids that are already taking on humans’ least desired jobs. Read More → AI? No thank you! 3 truly free, no-AI apps for the overwhelmed Pick up a tool that does exactly one thing and then gets out of your way—no LLM involved. Read More → View the full article

When discussing financial management, you need to understand the key differences between Accounts Payable (AP) and Accounts Receivable (AR). AP refers to the money your business owes to suppliers for goods and services purchased on credit, whereas AR represents the funds customers owe you for credit sales. Each plays a critical role in your company’s cash flow and overall financial health. To grasp their implications fully, let’s explore how they are recorded and managed. Key Takeaways Accounts Payable (AP) represents short-term liabilities owed to suppliers, while Accounts Receivable (AR) reflects assets owed by customers. AP is recorded as a current liability on the balance sheet, whereas AR is classified as a current asset. Managing AP focuses on timely payments to vendors, while managing AR emphasizes efficient collections from customers. AP is recognized as an expense upon receiving an invoice; AR is recorded as income once goods or services are delivered. Mismanagement of AP can strain vendor relationships, while poor AR management can lead to cash flow issues with customers. What Is Accounts Payable (AP)? Accounts Payable (AP) represents the short-term obligations a company has to its suppliers and creditors for goods and services acquired on credit. In the context of accounts payable vs accounts receivable, AP refers particularly to what you owe, whereas accounts receivable reflects what customers owe you. The difference between payables and receivables lies primarily in cash flow direction; payables are cash outflows, whereas receivables are inflows. When you receive an invoice, it’s recorded as a current liability on your balance sheet and entered into the general ledger. Managing AP effectively is vital for maintaining solid vendor relationships and ensuring timely payments, which helps you avoid late fees and supply chain disruptions. In addition, tracking Days Payable Outstanding (DPO) allows you to measure how long it takes to pay suppliers, directly impacting your cash flow management and overall financial health. Comprehending what’s the difference between accounts payable and receivable is significant for effective financial strategy. Accounts Payable Example When a company purchases goods or services on credit, it creates an obligation to pay the supplier, which is recorded as accounts payable (AP) on the balance sheet. For instance, envision your company buys $150,000 worth of inventory from a vendor on credit. This transaction produces a liability that you need to pay according to the agreed terms. When you receive the invoice, you’ll record it by debiting inventory and crediting accounts payable, indicating your obligation to the vendor. Managing AP is essential, as it involves tracking payment due dates to guarantee effective cash flow management and maintain good relationships with suppliers. Timely processing of invoices not merely helps you avoid late fees but likewise allows you to take advantage of early payment discounts, enhancing your overall financial efficiency. Keeping a close eye on AP can greatly impact your company’s financial health. How to Record Accounts Payable Recording accounts payable is an essential step in managing your company’s finances effectively. When you receive an invoice, begin by verifying the details against purchase orders and receiving reports to guarantee accuracy. Once confirmed, you’ll debit the relevant expense account and credit the accounts payable account, reflecting the liability incurred for the goods or services purchased. Depending on your accounting method, you may follow either accrual or cash-basis accounting. With accrual accounting, you recognize the liability as soon as it’s incurred, regardless of when the payment is made. It’s important to monitor metrics like Days Payable Outstanding (DPO), which measures how long it takes to pay suppliers, aiding in cash flow management. Finally, make certain to regularly reconcile all recorded accounts payable transactions. This guarantees accuracy in your financial reporting and helps maintain strong relationships with your vendors. What Is Accounts Receivable (AR)? Money owed to a business by its customers for goods or services provided on credit is known as Accounts Receivable (AR). It’s classified as a current asset on the balance sheet and recorded when a sale is made, with an invoice issued for payment. Typically, you expect to collect this amount within a year, making it crucial for managing cash flow effectively. To understand AR better, consider the following table that highlights key aspects: Aspect Description Importance Definition Money owed by customers Reflects credit sales Collection Period Usually within a year Maintains liquidity Turnover Ratio Measures efficiency in collections Indicates financial health Customer Behavior Impact Affects payment timelines and bad debts Necessitates credit policies Accounts Receivable Example An example of accounts receivable (AR) can help clarify how this essential financial concept operates in a business setting. Picture your company sells $250,000 worth of products to a customer on credit, with a 90-day payment term. You’d record this transaction by debiting the accounts receivable account, reflecting the money owed to you, and crediting the sales revenue account, which increases your income. Throughout the 90 days, you monitor this AR, ensuring timely payments to maintain cash flow. When the customer pays, you’d credit the accounts receivable account to decrease the amount owed, simultaneously debiting your cash or bank account to reflect the cash inflow. This process emphasizes the importance of managing accounts receivable effectively, as timely collections can greatly impact your company’s financial stability and operational efficiency. How to Record Accounts Receivable When you make a sale on credit, it’s crucial to record accounts receivable accurately to keep your financial records in order. Start by creating a journal entry that debits the accounts receivable account and credits the sales revenue account. This entry reflects the sale and acknowledges that you expect payment from the customer. When you invoice the customer, verify the invoice includes item descriptions, quantities, prices, total amount due, and payment terms, as these details aid in record-keeping. Once you receive payment, make another journal entry that credits the accounts receivable account and debits the cash account to show the cash inflow. Remember, accounts receivable appears as a current asset on your balance sheet, representing funds you expect to collect within a year. Regularly review your accounts receivable aging report to monitor outstanding invoices and follow up on overdue payments to maintain cash flow stability. Key Differences Between Accounts Payable and Accounts Receivable Comprehending the financial dynamics of a business involves recognizing the differences between accounts payable (AP) and accounts receivable (AR). AP signifies liabilities owed to suppliers for products or services received, whereas AR indicates assets owed to your company by customers for credit sales. On the balance sheet, AP appears as a current liability, showing money you must pay, while AR is a current asset, reflecting expected cash inflow. When managing AP, you focus on maintaining vendor relationships and ensuring timely payments, whereas AR management emphasizes collecting payments from customers efficiently. AP is recorded as an expense upon receiving an invoice, while AR is recognized as income when you deliver goods or services, regardless of when you get paid. A healthy balance between AP and AR is essential for effective cash flow management, as mismanagement of either can lead to financial instability and strain on business relationships. Frequently Asked Questions What Is an Example of Accounts Payable and Receivable? An example of accounts payable is when you buy inventory on credit, resulting in a liability until you pay the supplier. For instance, if you purchase $150,000 worth of goods, this amount gets recorded under accounts payable. Conversely, accounts receivable occurs when you sell products on credit, creating an asset. If you sell $250,000 worth of items, that amount represents money owed to you, recorded under accounts receivable. Do You Send Invoices to AP or AR? You send invoices to Accounts Receivable (AR), not Accounts Payable (AP). AR manages invoices for goods or services you’ve provided to customers on credit. Conversely, AP processes invoices from vendors for items or services your business has purchased. When you deliver products or services, you generate an invoice that AR records. Properly managing these processes is essential for maintaining your company’s cash flow and ensuring timely payments. How Does AR Differ From Accounts Payable? Accounts Receivable (AR) represents the money customers owe you for goods or services you’ve provided, whereas Accounts Payable (AP) reflects what you owe suppliers for purchases made on credit. AR is a current asset, indicating expected cash inflows, whereas AP is a current liability, representing future cash outflows. Effectively managing AR involves ensuring timely customer payments, whereas managing AP focuses on paying vendors quickly to maintain good relationships and avoid late fees. Which Is Better, Accounts Payable or Receivable? When considering which is better, accounts payable or receivable, it’s crucial to understand their roles in cash flow management. Accounts receivable represents money owed to you, indicating future cash inflows and reflecting sales performance. Conversely, accounts payable represents your obligations to suppliers, affecting outgoing cash. Although a healthy balance is necessary, strong accounts receivable typically improves liquidity and growth potential, making it more favorable for driving overall financial success in your business. Conclusion In conclusion, comprehending the differences between accounts payable and accounts receivable is crucial for effective financial management. Accounts payable represents your obligations to suppliers, whereas accounts receivable reflects the revenue owed to you by customers. Both play critical roles in cash flow management, impacting your organization’s overall financial health. By maintaining a clear distinction and managing these accounts efficiently, you can guarantee timely payments and collections, finally supporting your business’s stability and growth. Image via Google Gemini This article, "What Is the Difference Between Accounts Payable and Receivable?" was first published on Small Business Trends View the full article

When discussing financial management, you need to understand the key differences between Accounts Payable (AP) and Accounts Receivable (AR). AP refers to the money your business owes to suppliers for goods and services purchased on credit, whereas AR represents the funds customers owe you for credit sales. Each plays a critical role in your company’s cash flow and overall financial health. To grasp their implications fully, let’s explore how they are recorded and managed. Key Takeaways Accounts Payable (AP) represents short-term liabilities owed to suppliers, while Accounts Receivable (AR) reflects assets owed by customers. AP is recorded as a current liability on the balance sheet, whereas AR is classified as a current asset. Managing AP focuses on timely payments to vendors, while managing AR emphasizes efficient collections from customers. AP is recognized as an expense upon receiving an invoice; AR is recorded as income once goods or services are delivered. Mismanagement of AP can strain vendor relationships, while poor AR management can lead to cash flow issues with customers. What Is Accounts Payable (AP)? Accounts Payable (AP) represents the short-term obligations a company has to its suppliers and creditors for goods and services acquired on credit. In the context of accounts payable vs accounts receivable, AP refers particularly to what you owe, whereas accounts receivable reflects what customers owe you. The difference between payables and receivables lies primarily in cash flow direction; payables are cash outflows, whereas receivables are inflows. When you receive an invoice, it’s recorded as a current liability on your balance sheet and entered into the general ledger. Managing AP effectively is vital for maintaining solid vendor relationships and ensuring timely payments, which helps you avoid late fees and supply chain disruptions. In addition, tracking Days Payable Outstanding (DPO) allows you to measure how long it takes to pay suppliers, directly impacting your cash flow management and overall financial health. Comprehending what’s the difference between accounts payable and receivable is significant for effective financial strategy. Accounts Payable Example When a company purchases goods or services on credit, it creates an obligation to pay the supplier, which is recorded as accounts payable (AP) on the balance sheet. For instance, envision your company buys $150,000 worth of inventory from a vendor on credit. This transaction produces a liability that you need to pay according to the agreed terms. When you receive the invoice, you’ll record it by debiting inventory and crediting accounts payable, indicating your obligation to the vendor. Managing AP is essential, as it involves tracking payment due dates to guarantee effective cash flow management and maintain good relationships with suppliers. Timely processing of invoices not merely helps you avoid late fees but likewise allows you to take advantage of early payment discounts, enhancing your overall financial efficiency. Keeping a close eye on AP can greatly impact your company’s financial health. How to Record Accounts Payable Recording accounts payable is an essential step in managing your company’s finances effectively. When you receive an invoice, begin by verifying the details against purchase orders and receiving reports to guarantee accuracy. Once confirmed, you’ll debit the relevant expense account and credit the accounts payable account, reflecting the liability incurred for the goods or services purchased. Depending on your accounting method, you may follow either accrual or cash-basis accounting. With accrual accounting, you recognize the liability as soon as it’s incurred, regardless of when the payment is made. It’s important to monitor metrics like Days Payable Outstanding (DPO), which measures how long it takes to pay suppliers, aiding in cash flow management. Finally, make certain to regularly reconcile all recorded accounts payable transactions. This guarantees accuracy in your financial reporting and helps maintain strong relationships with your vendors. What Is Accounts Receivable (AR)? Money owed to a business by its customers for goods or services provided on credit is known as Accounts Receivable (AR). It’s classified as a current asset on the balance sheet and recorded when a sale is made, with an invoice issued for payment. Typically, you expect to collect this amount within a year, making it crucial for managing cash flow effectively. To understand AR better, consider the following table that highlights key aspects: Aspect Description Importance Definition Money owed by customers Reflects credit sales Collection Period Usually within a year Maintains liquidity Turnover Ratio Measures efficiency in collections Indicates financial health Customer Behavior Impact Affects payment timelines and bad debts Necessitates credit policies Accounts Receivable Example An example of accounts receivable (AR) can help clarify how this essential financial concept operates in a business setting. Picture your company sells $250,000 worth of products to a customer on credit, with a 90-day payment term. You’d record this transaction by debiting the accounts receivable account, reflecting the money owed to you, and crediting the sales revenue account, which increases your income. Throughout the 90 days, you monitor this AR, ensuring timely payments to maintain cash flow. When the customer pays, you’d credit the accounts receivable account to decrease the amount owed, simultaneously debiting your cash or bank account to reflect the cash inflow. This process emphasizes the importance of managing accounts receivable effectively, as timely collections can greatly impact your company’s financial stability and operational efficiency. How to Record Accounts Receivable When you make a sale on credit, it’s crucial to record accounts receivable accurately to keep your financial records in order. Start by creating a journal entry that debits the accounts receivable account and credits the sales revenue account. This entry reflects the sale and acknowledges that you expect payment from the customer. When you invoice the customer, verify the invoice includes item descriptions, quantities, prices, total amount due, and payment terms, as these details aid in record-keeping. Once you receive payment, make another journal entry that credits the accounts receivable account and debits the cash account to show the cash inflow. Remember, accounts receivable appears as a current asset on your balance sheet, representing funds you expect to collect within a year. Regularly review your accounts receivable aging report to monitor outstanding invoices and follow up on overdue payments to maintain cash flow stability. Key Differences Between Accounts Payable and Accounts Receivable Comprehending the financial dynamics of a business involves recognizing the differences between accounts payable (AP) and accounts receivable (AR). AP signifies liabilities owed to suppliers for products or services received, whereas AR indicates assets owed to your company by customers for credit sales. On the balance sheet, AP appears as a current liability, showing money you must pay, while AR is a current asset, reflecting expected cash inflow. When managing AP, you focus on maintaining vendor relationships and ensuring timely payments, whereas AR management emphasizes collecting payments from customers efficiently. AP is recorded as an expense upon receiving an invoice, while AR is recognized as income when you deliver goods or services, regardless of when you get paid. A healthy balance between AP and AR is essential for effective cash flow management, as mismanagement of either can lead to financial instability and strain on business relationships. Frequently Asked Questions What Is an Example of Accounts Payable and Receivable? An example of accounts payable is when you buy inventory on credit, resulting in a liability until you pay the supplier. For instance, if you purchase $150,000 worth of goods, this amount gets recorded under accounts payable. Conversely, accounts receivable occurs when you sell products on credit, creating an asset. If you sell $250,000 worth of items, that amount represents money owed to you, recorded under accounts receivable. Do You Send Invoices to AP or AR? You send invoices to Accounts Receivable (AR), not Accounts Payable (AP). AR manages invoices for goods or services you’ve provided to customers on credit. Conversely, AP processes invoices from vendors for items or services your business has purchased. When you deliver products or services, you generate an invoice that AR records. Properly managing these processes is essential for maintaining your company’s cash flow and ensuring timely payments. How Does AR Differ From Accounts Payable? Accounts Receivable (AR) represents the money customers owe you for goods or services you’ve provided, whereas Accounts Payable (AP) reflects what you owe suppliers for purchases made on credit. AR is a current asset, indicating expected cash inflows, whereas AP is a current liability, representing future cash outflows. Effectively managing AR involves ensuring timely customer payments, whereas managing AP focuses on paying vendors quickly to maintain good relationships and avoid late fees. Which Is Better, Accounts Payable or Receivable? When considering which is better, accounts payable or receivable, it’s crucial to understand their roles in cash flow management. Accounts receivable represents money owed to you, indicating future cash inflows and reflecting sales performance. Conversely, accounts payable represents your obligations to suppliers, affecting outgoing cash. Although a healthy balance is necessary, strong accounts receivable typically improves liquidity and growth potential, making it more favorable for driving overall financial success in your business. Conclusion In conclusion, comprehending the differences between accounts payable and accounts receivable is crucial for effective financial management. Accounts payable represents your obligations to suppliers, whereas accounts receivable reflects the revenue owed to you by customers. Both play critical roles in cash flow management, impacting your organization’s overall financial health. By maintaining a clear distinction and managing these accounts efficiently, you can guarantee timely payments and collections, finally supporting your business’s stability and growth. Image via Google Gemini This article, "What Is the Difference Between Accounts Payable and Receivable?" was first published on Small Business Trends View the full article

Google sent out emails to advertisers that starting July 15, 2026 the Google Ads system will require the use of passkeys for certain sensitive actions. This is likely due to the spike in Google Ads hijacks over the past year or so.View the full article