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We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. At $109.99, the Apple AirPods (3rd Generation) are selling at a clear discount from their usual $159.97 price at retailers like Best Buy. Shipping is free with Prime, while non-members pay an extra $6, and the deal is set to end in three days or when stock runs out. These are not Apple’s top-tier earbuds, but they cover the basics most people expect, especially if you already use an iPhone, iPad, or Mac. Apple AirPods (3rd Generation) $109.99 at Woot $169.00 Save $59.01 Get Deal Get Deal $109.99 at Woot $169.00 Save $59.01 Day-to-day use is about as simple as it gets. The H1 chip connects quickly to Apple devices and switches between them without much effort. Audio leans toward a balanced, slightly bass-forward profile that works fine for playlists, YouTube videos, and calls. Spatial Audio with head tracking is here too, adding a directional effect when watching supported content, though it feels more like a nice extra than a reason to buy. Battery life holds up at around six hours per charge, with the case bringing total listening time close to 24 hours. You can top them up with a Lightning cable, MagSafe, or any standard Qi wireless charger. Said, these earbuds use an open-ear design without silicone tips, so they sit loosely compared to other in-ear models. That can make them more comfortable for long stretches, but also less secure if you are moving around a lot, notes this PCMag review. The lack of a seal also means outside noise comes through, since there is no active noise cancellation or transparency mode. You don't get built-in EQ controls, either. And while the stem controls are responsive, it’s easy to press them by mistake when adjusting them. Still, for a straightforward, low-hassle pair of earbuds that work best inside Apple’s ecosystem, these third-generation Apple AirPods do a serviceable job. Our Best Editor-Vetted Tech Deals Right Now Apple AirPods 4 Active Noise Cancelling Wireless Earbuds — $148.99 (List Price $179.00) Blink Video Doorbell Wireless (Newest Model) + Sync Module Core — $35.99 (List Price $69.99) Ring Indoor Cam (2nd Gen, 2-pack, White) — $59.98 (List Price $79.99) 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 — $359.00 (List Price $429.00) Apple iPad 11" 128GB A16 WiFi Tablet (Blue, 2025) — $299.00 (List Price $349.00) Deals are selected by our commerce team View the full article

Earlier this week, in a live interview on CNBC’s Squawk Box, President Donald The President was asked for his reaction to reports that Apple, Amazon, and some other companies had not filed refund requests for tariffs they paid over the past year—tariffs the Supreme Court has ruled unconstitutional. “I think it’s brilliant if they don’t do that,” The President replied. “If they don’t do that, I’ll remember them.” To be clear, this wasn’t negotiation posturing. This was the president openly signaling that companies who forfeit money to which they are entitled will be “remembered” for a symbolic display of loyalty. The government has collected a combined $166 billion or so from U.S. importers; an act the Supreme Court ruled an overstep of presidential power. The companies in question are in effect taking the administration’s side despite the court’s ruling. Left unspoken but clearly implied is that those who exercise their legal rights may find themselves remembered, too, but certainly not for being “brilliant.” Given the Iran war, as well as the panoply of controversies and alleged scandals swirling around the administration, this incident was easy to miss. But it’s worth pausing over and paying attention to what companies affected by the illegal tariff scheme ultimately do. The tariffs, imposed last year and affecting U.S. trade with practically every country on earth, were struck by way of a 6-to-3 Supreme Court ruling in February, resulting in the $166 billion forced refund. Despite this lack of ambiguity, it’s not hard to imagine why a company might at least ponder whether it’s worth trying to stay on the president’s good side. The The President administration has not been shy about involving itself in the actions of private commerce, taking an unusually active stance over mergers, regulation, even bailouts or direct ownership stakes. Nevertheless, The President’s not-so-veiled threat is one that companies should firmly resist. It amounts to betraying shareholders and customers alike. For starters, the board members and executives of publicly traded companies obviously have fiduciary obligations to their shareholders. Shrugging off millions (or even billions) of dollars in legally recoverable refunds does not square with those duties. Moreover, it’s a bad look for a brand. Many companies passed along tariff costs through higher prices. Declining to pursue refunds in effect tells customers: We raised your prices because of costs we are now choosing not to recover, because the president said he’d be impressed if we didn’t. As a contrast, consider Costco, which has been among those striking an aggressive stance on the refunds. In November 2025, well before the high court’s ruling, the discount club chain filed a federal lawsuit challenging the tariffs as unlawful, asking the courts to order full refunds including interest on all tariffs paid. Costco executives have told investors the company would in effect pass along the refunds to its customers through “lower prices and better values.” Admittedly, that sounds a bit vague, but the company has said it will be open about the process. And compared to speculation about ignoring the refunds to curry favor with the administration, Costco’s simple clarity about adhering to the rule of law practically sounds like a profile in courage. Plenty of businesses have shown no hesitation about collecting refunds, particularly smaller enterprises. And shipping businesses FedEx, DHL, and UPS have all indicated they’ll be passing along refunds to customers who were billed to cover tariff fees. For many others, the process will admittedly be more complex. The payout fund is designed to reimburse entities that paid directly to import the tariffed goods—not the end consumers who may have ultimately absorbed those costs in the form of higher prices. Unlike the case of shipping, there’s usually not a clean paper trail to quantify what an individual customer might be owed. (Class action lawsuits are already coming together to challenge how the money is being distributed.) Still, this seems like a moment for companies to at least make clear their intent. The Costco response is a handy and straightforward example: Collect the refund and be vocal about returning value to customers. Treat this as an opportunity to demonstrate loyalty to shoppers. At the very least, signaling a greater interest in pleasing the administration than in pleasing your own shoppers seems like a shortsighted way to treat consumers, particularly in a moment when affordability is in the zeitgeist. “I’ll remember” cuts both ways. View the full article

Google updated its spam report page for the second time in the past week or so, this time to say that if you include personally identifying information, the spam report will not be processed or used. This comes just a week after Google said that information would be used and passed along to the reported site. What changed. Google posted on its spam report page a new highlight box which says two points: (1) Don’t include personally identifying information in your spam report. (2) If you do include personally identifying information, then Google won’t process your submission. The text block reads: “Don’t include any personally identifying information in your submission. To comply with regulations, we must send the submission text to the site owner to help them understand the context of a manual action, if one is issued. Because of this, we won’t process your submission if we determine it contains personally identifying information to protect privacy. Not including such information fully ensures your information is safe and prevents your submission from being discarded.” What was before. As we covered about a week ago, Google said then: “If we issue a manual action, we send whatever you write in the submission report verbatim to the site owner to help them understand the context of the manual action.” This caused a lot of concern in the industry, not just from fear of being caught calling out your competitors or spammers. But also for legal concerns. Google’s new wording above says this is now to “comply with regulations” where I guess it can’t share personally identifying information. Why we care. If you want to submit a successful spam report, make sure to not include any personally identifying information. And if you do include personally identifying information by accident, you do not have to worry that the information will be passed along to the reported site. The spam report will just not be processed at all and you can resubmit it. View the full article

Prediction markets Kalshi and Polymarket have roared into the public consciousness, drawing scrutiny from regulators and politicians. They’ve also captured the imagination of social media users, some of whom post outlandish claims of striking it rich by pointing AI models at prediction markets and making bank. But a new study published in the Cornell University archive arXiv suggests it’s not as easy as that. Researchers at Arcada Labs, through its Prediction Arena benchmark, tested six frontier AI models by giving each $10,000 to trade on prediction markets over 57 days earlier this year, tracking how they handled real-time information and decision-making on platforms like Kalshi. “We wanted the most realistic evaluation in the world on whether models could make real-time decisions,” says Grace Li, co-founder of Arcada Labs and co-author on the study. The goal was to see how AI could handle “real-time information, make real-time decisions, and be rewarded exactly for the magnitude of how contrarian their decision is,” Li adds. The findings were not great for your 401(k)s. Within that period, every model lost money, between 16% and 30.8% on Kalshi, though models lost less over a shorter stretch on Polymarket. Li believes that gap may come down to how the systems were allowed to operate: models could search across a wider universe of markets on Polymarket, versus a standardized set on Kalshi. On Polymarket, “the models have access to trade on any market,” she says, whereas on Kalshi “they’re starting up with just a set of 26 because we had to explicitly list the markets.” In retrospect, Li adds, “we didn’t realize just how big of an impact giving the models free range to pick their own markets would have.” Which is why she thinks that the social media posts crowing about big returns might not be overstating their impact. Li explains that on Polymarket, “right now [LLM trading] is actually living up to the hype,” and points to more recent internal runs in which “Opus 4.6 made a couple of phenomenal trades recently.” But she says even those successes aren’t evidence of get-rich-quick schemes, but more proof of what increasingly autonomous models may soon be able to do. “We actually imagine the models to improve steadily over time, overtaking the human baseline,” she says, “until AI hedge funds become a thing of the norm.” Yet that’s not what she’s most interested in finding out. “We are less interested in what is the absolute economic gain from this capability, and more interested in what does this added unit of intelligence mean for humanity,” she says. View the full article

Professional service firms appear to be braced for flatlining growthView the full article

This week, we covered new heated Google search ranking volatility. Google's Danny Sullivan spoke about commodity versus non-commodity content. Google now wont use spam reports with personality identifiable...View the full article

The fallout from an ambassadorial appointment like no other threatens even worse procedural ‘sludge’ in WhitehallView the full article

Whether you lead a scaling brand or an established global enterprise, you already know the frustration. You’re watching massive digital budgets yield diminishing returns, while agile disruptors consistently beat you to the punch. When you audit the citations within AI Overviews, ChatGPT responses, and Claude summaries, the reality is stark. Smaller, faster competitors are claiming more of the most lucrative, bottom-of-funnel commercial queries. It’s time to challenge the outdated assumption that legacy domain authority is enough to protect your pipeline. We’ve entered an era where operational agility often beats legacy brand equity. AI models demand rapid, machine-readable data to establish a verifiable consensus. Enterprise red tape, what we call the “bureaucracy tax,” is actively preventing established brands from deploying these assets. You didn’t build this red tape intentionally. As your business scaled, stability simply choked out agility. Why legal approves data faster than marketing claims When deployment speeds are slow, marketing teams inevitably blame legal, risk, or compliance. However, in highly regulated sectors, rigorous compliance is completely non-negotiable. The operational failure isn’t the legal team; the failure is what marketing is sending them. To win the AI search race, you must completely decouple your factual data from your marketing narrative. Here’s the human truth of corporate risk: Lawyers argue over adjectives, not APIs. Legal departments take months to review creative copywriting and subjective marketing claims (e.g., “We are the fastest, most innovative solution”). On the other hand, they can review a static, factual data table, a product specification sheet, or a pricing index in a matter of days. Consider a global payments company trying to capture AI search traffic for enterprise payment gateways. Legal will immediately block a 2,000-word marketing post titled “The most secure way to process payments” — it’s a compliance nightmare. But if that same marketing team builds a “Transaction fee and API uptime matrix” that simply aggregates factual processing costs and server SLAs into a structured table, legal signs off in 24 hours. When a CFO asks Perplexity, “Compare enterprise payment gateway fees,” the AI bypasses the competitor’s blocked blog post and cites your factual matrix as the definitive answer. Dig deeper: Why most SEO failures are organizational, not technical 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 How much does the bureaucracy tax actually cost? The bureaucracy tax is a measurable, devastating hit to your P&L. Consider the standard deployment cycle for an established enterprise. A new strategic initiative requires a brief, creative production, legal review, compliance sign-off, and an IT staging ticket. This often results in a sluggish 180-day cycle from ideation to publication. When a major industry shift occurs, such as a sudden change in regional shipping tariffs, the AI consensus is entirely up for grabs. Imagine you’re a global shipping company. While your 1,500-word thought leadership piece on “Navigating APAC supply chain changes” is sitting in a three-week IT staging queue, an agile mid-market logistics disruptor publishes a simple, structured “Current freight delay and tariff matrix.” The LLM scrapes the matrix, establishes it as the consensus, and instantly captures the most lucrative, high-intent logistics leads of the quarter. They get the revenue, while you get a Jira notification saying your staging ticket has been updated. To quantify this, we analyzed the AI citation share of top global brands across ChatGPT-4, Perplexity, and Google AI Overviews. By tracking the original publish dates of their digital assets against the AI’s preferred recommendations for high-value commercial queries, a brutal algorithmic truth emerged: recency can beat relevancy. When a market shift occurs, disruptors who deploy structured data within 14 days capture, on average, a 32% higher share of AI voice than legacy competitors who take 180 days to publish similar insights, even if the legacy brand has a higher traditional domain authority. For the slower enterprise, this isn’t a temporary dip in traffic. That deficit takes an average of nine months and $120,000 in defensive paid media to win back. You’re bleeding capital every single day your content sits in an approval queue. Dig deeper: How to build an enterprise SEO strategy that actually gets buy-in Get the newsletter search marketers rely on. See terms. The technical bypass: The schema-locked GEO template To understand why established brands are losing this race, you must look at the underlying technology. Many marketing teams are trapped on monolithic, legacy CMS platforms. Generative engine optimization (GEO) requires the constant, rapid deployment of complex JSON-LD schema markup and proprietary data tables. If your marketing team has to submit an IT ticket just to update an author tag, the disruptor has already won. The solution isn’t to go rogue and build insecure shadow IT. Instead, you must negotiate a schema-locked GEO template. Go to your CIO or lead developer and negotiate one single IT sprint to build a rigid, unbreakable CMS template designed exclusively for data. What does a schema-locked template actually look like? Picture a proprietary “comparison engine” for a consumer electronics brand. IT builds the template once, stripping out all design flexibility. Marketing never touches the code. Instead, a marketer simply fills in three backend text boxes: [Competitor TV model]. [Our refresh rate]. [Their refresh rate]. The template automatically wraps those inputs in perfect JSON-LD schema, specifically injecting Dataset, SoftwareApplication, and ItemList markup that LLMs actively hunt for, and renders a clean HTML table. IT loves it because marketing can’t break the site architecture. Marketing loves it because they can spin up 50 competitor comparison pages in a single afternoon, feeding LLMs exactly what they need. Don’t try to change your entire corporate culture; just build a fast track. Create an AI-readiness pod. This is a cross-functional alignment consisting of one technical SEO lead, 10% of a developer’s sprint capacity, and a dedicated compliance liaison who only reviews data, not copy. Dig deeper: Why governance maturity is a competitive advantage for SEO From compliance to consideration in record time You must engineer workflows that satisfy your risk officers and your CTO while radically accelerating your speed to market. Use these strategic frameworks to protect your AI consensus: If you’re an enterprise CMO bottlenecked by legal, then pivot your GEO strategy entirely. Publish pre-approved, proprietary data tables that require zero narrative oversight to capture the AI citation immediately. If you’re a mid-market founder with zero dev resources for marketing, then mandate the creation of the one-time “schema-locked GEO template” so your marketing team can operate autonomously for the rest of the year. If your traditional analytics show stable organic traffic, but your pipeline velocity is dropping, then immediately audit your LLM visibility. You’re likely being actively replaced by a disruptor in the AI research phase. 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 Agility is the new authority The rules of digital acquisition have fundamentally changed. The biggest budget doesn’t guarantee victory. The fastest route to machine-readable consensus wins. You can no longer afford to let legacy infrastructure and misaligned compliance workflows dictate your market share. The bureaucracy tax is an unforced error that’s quietly draining your bottom-line revenue. Ruthlessly audit your deployment timelines tomorrow morning. Stop treating GEO as a traditional marketing campaign, and start treating it as a high-velocity data operation. Dismantle your own red tape and empower your teams to become the undeniable, cited authority at the exact moment the consumer asks the machine a question. View the full article

British pension schemes will soon be forced to support my portfolioView the full article

Here is another interview from Google's head of search, Liz Reid. This one was done on the Odd Lots Bloomberg podcast and is titled "Google's Liz Reid on Who Will Own Search in a World of AI."View the full article

Google is working to fix a bug in AI Mode where it is changing the title links and citations. This bug was spotted by Lily Ray who wrote on X, "Google is changing title links / citations in AI Mode - just the name of the person, with a link to the place they were mentioned."View the full article

There is an “unprecedented degree of change in the business environment,” as one CEO in the latest Fortune/Deloitte CEO survey put it. If you’re struggling to scale your company, you’re not alone. Growth is harder and fatigue is everywhere. This volatile environment makes focus all the more important. I have worked with over a hundred VC or Private Equity backed startups through scaleups, and there are consistent barriers that every CEO and C-Suite, no matter your industry or business model, must overcome in order to grow successfully. As my old boss at Cisco, John Chambers, used to say “Concentrate on what you can control, not on what you can’t.” As a leader, here are five common factors that you can control that could be holding you back: 1. Confusion brings you down As an organization grows and scales, teams often lose sight of their core objectives. This leads to confusion, misalignment, and diluted motivation. When people are unclear why they are doing what they’re doing, their engagement and performance drop. Many leaders fall into the trap of chasing too many opportunities or reacting to the latest market noise, rather than sticking to a clear, differentiated strategy. Without radical focus, energy and resources are watered down. Scaling requires a disciplined plan—knowing exactly what you want, why it matters, and how you’ll get there, and then saying “no” to distractions. Regularly revisit your strategy and ruthlessly prioritize your core purpose and values. 2. Measure what matters Many companies mistake activity for progress, but it’s not just about having a plan for growth—it’s about working that plan with discipline. In scaling organizations, it’s common for teams to operate without clear, shared metrics for success. But without visible progress markers and regular, disciplined check-ins, accountability wanes. This makes it easy for priorities to drift and for mediocrity to creep in. Ask yourself, are you tracking the right metrics, measuring outcomes, and iterating based on what you learn? If you’re not measuring execution at a granular level, you risk drifting or burning out while making little real progress. Track everything and celebrate small wins to fuel momentum. 3. What got you here will not get you there What worked when your organization was smaller often breaks when you try to scale. As complexity increases, teams often lack robust ways of processing information, making decisions, and solving problems. If these old, informal methods persist, teams get bogged down in confusion, judgment, and finger-pointing rather than curiosity and shared learning. Processes that were once efficient become bottlenecks. In order to overcome this, technology, workflow, and decision-making structures must evolve. If your infrastructure, from sales processes to financial controls, can’t handle growth, execution will falter. Don’t be afraid to rebuild core systems to support the next stage of scale. 4. People don’t scale, teams do No amount of ambition or capital can compensate for the wrong team or a lack of alignment. Scaling exposes weaknesses in team leadership, skills, and coordination. Ask yourself: do you have the right people in the right seats? Are your team leaders and teams aligned, and does everyone understand the goals and the urgency? Invest in hiring and developing talent density in teams. Ensure the team’s incentives (care why) and goals are in sync with the business’s direction (know why). 5. Have clear values, structure, and role definition Scaling brings new people, changing structures, and evolving roles. When new employees are added to an organization, it can create friction with existing employees if their values don’t align. A study by Columbia Business School found that the tipping point for shaping existing employees’ values is when 20-40% of new employees have different values—this can be positive, but can also lead to a negative impact on company culture. It’s also true that without clear definition and communication about who is responsible for what, teams become inefficient, drop balls, and experience internal friction. This lack of structure undermines performance and accountability. With rapid change, new joiners, shifting priorities, and changing values, team cohesion and psychological safety can break down. When people don’t feel safe to speak up, take risks, or admit mistakes, trust erodes and collaboration suffers. This leads to siloed behavior and stunted learning. All this needs to be taken into account in order to ensure your employees are contributing to growth, not hindering it, and have opportunities to reach their full potential. The key to successful scaling Successful scaling isn’t just about increasing revenue—it’s about building the durable systems, culture, and relationships that make growth sustainable. If you’re stuck in your scaling plans, step back and diagnose your organization across these five areas. Often, the real obstacle is not just one thing, but a combination that needs clarity and focused action. View the full article

A couple of weeks ago, Google stunned many by saying that they updated their spam report to pass along all information to the site that you enter in the spam report. There was a lot of backlash to that and Google reverted, now saying if there is personally identifying information, it won't process the spam report at all.View the full article

Microsoft’s AI ad strategy looks different from Google’s. Here’s what PPC managers may be missing and which updates deserve a closer look. The post Why Microsoft’s AI Ad Strategy Deserves More Attention From PPC Managers appeared first on Search Engine Journal. View the full article

Using a self-employment tax calculator can simplify your tax preparation, but you need to comprehend a few key concepts first. Start by gathering all relevant income documentation, such as 1099 forms, and accurately determine your total net earnings after deducting business expenses. Then, input this information into the calculator, which will help you calculate your tax liability. Grasping these steps is essential, as they set the foundation for estimating your quarterly payments and leveraging tax deductions effectively. Key Takeaways Gather all relevant 1099 forms to report total gross earnings from self-employment and freelance work. Deduct allowable business expenses from your gross income to determine net business income. Enter your total self-employment income into the calculator, applying the 15.3% self-employment tax rate on 92.35% of your net earnings. Estimate your quarterly payments by dividing your total self-employment tax liability by four, considering due dates. Ensure the calculator accounts for additional Medicare tax if your income exceeds $200,000 for single filers. Understanding Self-Employment Tax When you’re self-employed, grasp of self-employment tax is fundamental to managing your finances and meeting your tax obligations. This tax includes Social Security and Medicare, totaling 15.3% on net earnings exceeding $400. To calculate it accurately, you’ll use Schedule SE attached to your Form 1040, applying the tax rates to 92.35% of your net profit from Schedule C or Schedule F. Remember, income above $176,100 incurs only the Medicare tax rate of 2.9%, and an additional Medicare tax applies to higher earners. It’s vital to make self-employment tax payments quarterly, with specific deadlines to keep your tax status compliant. Utilizing a self-employment tax calculator can simplify this process, helping you determine your tax liability effectively. In addition, knowing how to figure out 1099 taxes can aid in managing your tax responsibilities as a self-employed individual. Determining Your Total Net Earnings Determining your total net earnings is crucial for accurately calculating your self-employment tax, as it forms the basis of your tax liability. Start by compiling all income sources, including your 1099 forms, which reflect your gross earnings from self-employment activities. Then, subtract allowable business expenses—like advertising, insurance, and travel—from your gross income. This gives you your net profit, the amount subject to self-employment tax. Don’t forget to include specific income types, such as rental income or royalties on 1099-MISC, as they can impact your total net earnings. Remember, only 92.35% of your net earnings is considered for self-employment tax; multiply your net profit by this percentage. To answer the question, “how much should I set aside for taxes 1099?” you’ll need to know how much of 1099 income is taxed to guarantee you’re prepared for your tax obligations. Keep thorough records to support your calculations. Inputting Your Income and Expenses After you’ve calculated your total net earnings, the next step involves inputting your income and expenses into the self-employment tax calculator. Start by gathering all relevant 1099 forms that report your income, as these will provide the basis for your total earnings. Input your total gross income, including all freelance work and contract jobs. Next, deduct qualifying business expenses like advertising costs, supplies, and home office expenses to determine your net business income. If you have additional sources of income, such as net farm income or church employee income, be sure to enter those as well. This thorough input will help you understand how much you should set aside for taxes 1099. The calculator will then apply the self-employment tax rate of 15.3% to your adjusted net earnings, giving you an accurate estimate of your self-employment tax liability, which is crucial for completing your self-employment tax form 1099 accurately. Calculating Your Tax Liability To calculate your self-employment tax liability, you’ll start by inputting the necessary information into the calculator. This includes your net earnings, which you find by subtracting your business expenses from your total income. Once you have that, the calculator will help you estimate your tax obligation based on the self-employment tax rate and any applicable deductions. Input Required Information When calculating your self-employment tax liability, you’ll need to gather specific information to confirm accuracy. Start with your net business income, which is your total earnings from self-employment minus any allowable business expenses. Don’t forget to include any additional income types, such as net farm income or church employee income, if applicable. You should likewise provide details about any employer-paid income, like wages or tips, already taxed under Social Security. https://www.youtube.com/watch?v=a4O-JNRIvXg The calculator will ask for the total amount of self-employment income for the year, crucial for determining the 15.3% tax rate. If you’re wondering how much should I set aside for taxes 1099, make sure the calculator reflects both Social Security and Medicare taxes accurately on your self employed tax form 1099. Calculate Net Earnings Calculating your net earnings is vital for determining your self-employment tax liability, as it directly affects how much you owe. To calculate net earnings, start with your total income from all 1099 forms and subtract qualifying business expenses to find your net profit. Remember, self-employment tax applies to 92.35% of your net earnings, reflecting the 15.3% tax rate. If your net profit exceeds $400, you must file and pay self-employment tax using Schedule SE with your annual tax return. Grasping these figures helps you determine how much should I set aside for taxes 1099, ensuring you avoid underpayment penalties and comply with IRS regulations regarding your self-employment tax obligations. Accurate calculations are fundamental for financial planning. Review Estimated Tax Obligation Comprehending your estimated tax obligation is crucial for managing your finances effectively, especially if you’re self-employed. To determine how much you should put aside for taxes 1099, use the self-employment tax calculator. Input your net business income, which is your total income minus qualifying expenses. The self-employment tax rate is 15.3%, applied to 92.35% of your net earnings. If your net earnings exceed $400, you must report this on Schedule SE. Here’s a simple breakdown to help you visualize your obligations: Income Range Self Employment Tax Rate Additional Medicare Tax $0 – $400 0% N/A $400 – $200,000 15.3% N/A $200,000 + 15.3% 0.9% Regularly reviewing this can help you avoid underpayment penalties. Estimating Quarterly Payments Estimating quarterly payments for your self-employment tax is crucial to staying compliant with IRS requirements and avoiding potential penalties. To figure out how much you should set aside for taxes, use a 1099 calculator to determine your expected net self-employment income for the year. Apply the self-employment tax rate of 15.3% on 92.35% of that income. Once you have your total estimated self-employment tax, divide it by four to determine what you need to pay each quarter. Remember, payments are typically due on January 15, April 15, June 15, and September 15. If your income exceeds $200,000 as a single filer, include the additional Medicare Tax of 0.9%. Finally, factor in qualifying deductions, like half of your self-employment tax, to guarantee your quarterly payments accurately reflect your actual tax liability and help you understand how much do I pay in taxes on a 1099. Utilizing Tax Deductions to Lower Your Tax Bill As you plan your quarterly payments, it’s equally important to contemplate how tax deductions can greatly lower your overall tax bill. Self-employed individuals can deduct half of their self-employment tax from their income on Form 1040, which helps reduce your taxable income. In addition, the Qualified Business Income deduction allows you to deduct up to 20% of your qualified business income, providing significant tax relief. Business expenses like advertising, insurance, and work-related travel can likewise be deducted, lowering your net profit reported on Schedule C, ultimately impacting your self-employment tax calculations. If you have a dedicated space for business use, consider claiming a home office deduction. Moreover, you can deduct health insurance premiums if they’re not provided by an employer. Frequently Asked Questions How to Calculate Your Taxes if You Are Self-Employed? To calculate your taxes as a self-employed individual, start by determining your net earnings. Subtract allowable business expenses from your total income reported on Schedule C. Apply the self-employment tax rate of 15.3% to 92.35% of your net earnings. If your earnings exceed $400, file Schedule SE with your Form 1040. How Does the IRS Calculate Self-Employment Tax? The IRS calculates your self-employment tax at a rate of 15.3% on your net earnings. This includes 12.4% for Social Security and 2.9% for Medicare, applicable if your net earnings exceed $400. To find your taxable income for this tax, you multiply your net earnings by 92.35%. You report this tax on Schedule SE, which you must include with your Form 1040 when filing your taxes. What Are Common Tax Mistakes for Self-Employed? Common tax mistakes for self-employed individuals include failing to track all income sources, especially cash payments, which can lead to underreporting. Not deducting eligible business expenses, like home office costs and mileage, can inflate taxable income. Misunderstanding the self-employment tax calculation, including the 92.35% factor, is another issue. Moreover, neglecting quarterly estimated tax payments and the Additional Medicare Tax for high earners can result in unexpected liabilities and penalties. How Much Should I Set Aside for Taxes 1099 Calculator? When calculating how much to set aside for taxes using a 1099 calculator, aim for about 15.3% of your net earnings. This percentage covers self-employment tax for Social Security and Medicare. If your income exceeds $400, it’s crucial to calculate this tax to comply with IRS regulations. Furthermore, if your total income surpasses $200,000 for singles or $250,000 for joint filers, consider an extra 0.9% for Medicare on income above those thresholds. Conclusion In summary, using a self-employment tax calculator simplifies the process of determining your tax liability. By accurately inputting your total income and allowable expenses, you can effectively calculate your net earnings and tax obligation. Remember to take into account any additional taxes that may apply based on your income level, and don’t forget to estimate your quarterly payments. With careful tracking of your finances and utilizing available deductions, you can manage your tax responsibilities more efficiently. Image via Google Gemini This article, "How to Use a Self Employment Tax Calculator for Your Taxes" was first published on Small Business Trends View the full article

Using a self-employment tax calculator can simplify your tax preparation, but you need to comprehend a few key concepts first. Start by gathering all relevant income documentation, such as 1099 forms, and accurately determine your total net earnings after deducting business expenses. Then, input this information into the calculator, which will help you calculate your tax liability. Grasping these steps is essential, as they set the foundation for estimating your quarterly payments and leveraging tax deductions effectively. Key Takeaways Gather all relevant 1099 forms to report total gross earnings from self-employment and freelance work. Deduct allowable business expenses from your gross income to determine net business income. Enter your total self-employment income into the calculator, applying the 15.3% self-employment tax rate on 92.35% of your net earnings. Estimate your quarterly payments by dividing your total self-employment tax liability by four, considering due dates. Ensure the calculator accounts for additional Medicare tax if your income exceeds $200,000 for single filers. Understanding Self-Employment Tax When you’re self-employed, grasp of self-employment tax is fundamental to managing your finances and meeting your tax obligations. This tax includes Social Security and Medicare, totaling 15.3% on net earnings exceeding $400. To calculate it accurately, you’ll use Schedule SE attached to your Form 1040, applying the tax rates to 92.35% of your net profit from Schedule C or Schedule F. Remember, income above $176,100 incurs only the Medicare tax rate of 2.9%, and an additional Medicare tax applies to higher earners. It’s vital to make self-employment tax payments quarterly, with specific deadlines to keep your tax status compliant. Utilizing a self-employment tax calculator can simplify this process, helping you determine your tax liability effectively. In addition, knowing how to figure out 1099 taxes can aid in managing your tax responsibilities as a self-employed individual. Determining Your Total Net Earnings Determining your total net earnings is crucial for accurately calculating your self-employment tax, as it forms the basis of your tax liability. Start by compiling all income sources, including your 1099 forms, which reflect your gross earnings from self-employment activities. Then, subtract allowable business expenses—like advertising, insurance, and travel—from your gross income. This gives you your net profit, the amount subject to self-employment tax. Don’t forget to include specific income types, such as rental income or royalties on 1099-MISC, as they can impact your total net earnings. Remember, only 92.35% of your net earnings is considered for self-employment tax; multiply your net profit by this percentage. To answer the question, “how much should I set aside for taxes 1099?” you’ll need to know how much of 1099 income is taxed to guarantee you’re prepared for your tax obligations. Keep thorough records to support your calculations. Inputting Your Income and Expenses After you’ve calculated your total net earnings, the next step involves inputting your income and expenses into the self-employment tax calculator. Start by gathering all relevant 1099 forms that report your income, as these will provide the basis for your total earnings. Input your total gross income, including all freelance work and contract jobs. Next, deduct qualifying business expenses like advertising costs, supplies, and home office expenses to determine your net business income. If you have additional sources of income, such as net farm income or church employee income, be sure to enter those as well. This thorough input will help you understand how much you should set aside for taxes 1099. The calculator will then apply the self-employment tax rate of 15.3% to your adjusted net earnings, giving you an accurate estimate of your self-employment tax liability, which is crucial for completing your self-employment tax form 1099 accurately. Calculating Your Tax Liability To calculate your self-employment tax liability, you’ll start by inputting the necessary information into the calculator. This includes your net earnings, which you find by subtracting your business expenses from your total income. Once you have that, the calculator will help you estimate your tax obligation based on the self-employment tax rate and any applicable deductions. Input Required Information When calculating your self-employment tax liability, you’ll need to gather specific information to confirm accuracy. Start with your net business income, which is your total earnings from self-employment minus any allowable business expenses. Don’t forget to include any additional income types, such as net farm income or church employee income, if applicable. You should likewise provide details about any employer-paid income, like wages or tips, already taxed under Social Security. https://www.youtube.com/watch?v=a4O-JNRIvXg The calculator will ask for the total amount of self-employment income for the year, crucial for determining the 15.3% tax rate. If you’re wondering how much should I set aside for taxes 1099, make sure the calculator reflects both Social Security and Medicare taxes accurately on your self employed tax form 1099. Calculate Net Earnings Calculating your net earnings is vital for determining your self-employment tax liability, as it directly affects how much you owe. To calculate net earnings, start with your total income from all 1099 forms and subtract qualifying business expenses to find your net profit. Remember, self-employment tax applies to 92.35% of your net earnings, reflecting the 15.3% tax rate. If your net profit exceeds $400, you must file and pay self-employment tax using Schedule SE with your annual tax return. Grasping these figures helps you determine how much should I set aside for taxes 1099, ensuring you avoid underpayment penalties and comply with IRS regulations regarding your self-employment tax obligations. Accurate calculations are fundamental for financial planning. Review Estimated Tax Obligation Comprehending your estimated tax obligation is crucial for managing your finances effectively, especially if you’re self-employed. To determine how much you should put aside for taxes 1099, use the self-employment tax calculator. Input your net business income, which is your total income minus qualifying expenses. The self-employment tax rate is 15.3%, applied to 92.35% of your net earnings. If your net earnings exceed $400, you must report this on Schedule SE. Here’s a simple breakdown to help you visualize your obligations: Income Range Self Employment Tax Rate Additional Medicare Tax $0 – $400 0% N/A $400 – $200,000 15.3% N/A $200,000 + 15.3% 0.9% Regularly reviewing this can help you avoid underpayment penalties. Estimating Quarterly Payments Estimating quarterly payments for your self-employment tax is crucial to staying compliant with IRS requirements and avoiding potential penalties. To figure out how much you should set aside for taxes, use a 1099 calculator to determine your expected net self-employment income for the year. Apply the self-employment tax rate of 15.3% on 92.35% of that income. Once you have your total estimated self-employment tax, divide it by four to determine what you need to pay each quarter. Remember, payments are typically due on January 15, April 15, June 15, and September 15. If your income exceeds $200,000 as a single filer, include the additional Medicare Tax of 0.9%. Finally, factor in qualifying deductions, like half of your self-employment tax, to guarantee your quarterly payments accurately reflect your actual tax liability and help you understand how much do I pay in taxes on a 1099. Utilizing Tax Deductions to Lower Your Tax Bill As you plan your quarterly payments, it’s equally important to contemplate how tax deductions can greatly lower your overall tax bill. Self-employed individuals can deduct half of their self-employment tax from their income on Form 1040, which helps reduce your taxable income. In addition, the Qualified Business Income deduction allows you to deduct up to 20% of your qualified business income, providing significant tax relief. Business expenses like advertising, insurance, and work-related travel can likewise be deducted, lowering your net profit reported on Schedule C, ultimately impacting your self-employment tax calculations. If you have a dedicated space for business use, consider claiming a home office deduction. Moreover, you can deduct health insurance premiums if they’re not provided by an employer. Frequently Asked Questions How to Calculate Your Taxes if You Are Self-Employed? To calculate your taxes as a self-employed individual, start by determining your net earnings. Subtract allowable business expenses from your total income reported on Schedule C. Apply the self-employment tax rate of 15.3% to 92.35% of your net earnings. If your earnings exceed $400, file Schedule SE with your Form 1040. How Does the IRS Calculate Self-Employment Tax? The IRS calculates your self-employment tax at a rate of 15.3% on your net earnings. This includes 12.4% for Social Security and 2.9% for Medicare, applicable if your net earnings exceed $400. To find your taxable income for this tax, you multiply your net earnings by 92.35%. You report this tax on Schedule SE, which you must include with your Form 1040 when filing your taxes. What Are Common Tax Mistakes for Self-Employed? Common tax mistakes for self-employed individuals include failing to track all income sources, especially cash payments, which can lead to underreporting. Not deducting eligible business expenses, like home office costs and mileage, can inflate taxable income. Misunderstanding the self-employment tax calculation, including the 92.35% factor, is another issue. Moreover, neglecting quarterly estimated tax payments and the Additional Medicare Tax for high earners can result in unexpected liabilities and penalties. How Much Should I Set Aside for Taxes 1099 Calculator? When calculating how much to set aside for taxes using a 1099 calculator, aim for about 15.3% of your net earnings. This percentage covers self-employment tax for Social Security and Medicare. If your income exceeds $400, it’s crucial to calculate this tax to comply with IRS regulations. Furthermore, if your total income surpasses $200,000 for singles or $250,000 for joint filers, consider an extra 0.9% for Medicare on income above those thresholds. Conclusion In summary, using a self-employment tax calculator simplifies the process of determining your tax liability. By accurately inputting your total income and allowable expenses, you can effectively calculate your net earnings and tax obligation. Remember to take into account any additional taxes that may apply based on your income level, and don’t forget to estimate your quarterly payments. With careful tracking of your finances and utilizing available deductions, you can manage your tax responsibilities more efficiently. Image via Google Gemini This article, "How to Use a Self Employment Tax Calculator for Your Taxes" was first published on Small Business Trends View the full article

About a year ago, Google announced you can opt in, within Search Labs, to see Audio Overviews within the Google Search results. But now, I saw two different people say they saw it without opting into the experiment. So Google may be testing this in the wild.View the full article

Google Business Profiles lets you upload photos of your business to your Business Profile. Those photos can be viewed on Google Search and Google Maps. And now, these photos are reportedly sorted by most recently uploaded.View the full article

Why traditional frameworks fall short, and how the DIRHAM framework helps marketers build trust, relevance, and measurable impact in today’s content ecosystem. The post Localized Distribution In The AI Era: The DIRHAM Framework appeared first on Search Engine Journal. View the full article

Note: This article discusses sensitive topics like suicide and self-harm. If you or someone you know is in danger, please call the national suicide and crisis lifeline at 988. LLM-powered chatbots have brought humans and technology closer together than ever before–but at what cost? Many people have begun turning to LLMs for advice, seeking guidance on anything from fitness plans to interpersonal relationships. But for society’s most vulnerable minds (e.g., adolescents, the elderly, and those with mental health conditions), this intimacy presents a hidden danger. These tools can descend into something darker: enablers for suicide and self-harm (SSH). Chatbots have been known to reinforce SSH ideation, even encouraging users to self-harm. Most (if not all) LLMs have policies surrounding SSH, but they often don’t go far enough. To keep users safe, the industry cannot merely write better policies; we must build systems capable of executing clinical nuance at scale. We need a clinically and technically sound approach to successfully prevent harm. Here’s what that looks like. Medical Misalignment: How current models fall short What’s currently missing from chatbots’ underlying models is a demonstrated clinical understanding of how SSH and other harm types (e.g., delusions or dementia, etc.) actually present. Currently, conversations are only flagged and escalated to a human reviewer if the user inputs explicit language like “I want to kill myself. How many pills should I take?” But that’s almost never how it happens. In reality, conversations involving SSH often start benignly, with a teenager asking for homework help or an elderly person asking for scheduling assistance. Over the course of several sessions, the user might express that they feel lonely, like a burden, or misunderstood. The danger lies in how standard LLMs process conversational timelines. While modern LLMs have memory and can recall previous prompts, they suffer from context deficit when it comes to safety evaluation—they fail at cumulative risk synthesis. If a user hints at hopelessness in prompt one and asks about painkillers in prompt four, the LLM evaluates the safety of the latter largely in a vacuum. It remembers the words, but it fails to connect the psychological dots to recognize the escalating threat. What does this lack of clarity and nuance mean? Classic warning signs get missed and vulnerable users may follow through on their SSH ideations. To improve user safety, LLMs must be trained to better evaluate user risk over time. As part of their risk assessment, clinicians continuously monitor the below factors: Biopsychosocial history: The deep context provided during intake. Non-verbal and presentation cues: Changes in affect, mood, tone of voice, or even physical presentation (e.g., appearing disheveled). Behavioral shifts: Changes in life engagement, activity levels, and evolving symptomology that shift a diagnostic perspective. While LLMs will never be able to provide the degree of care and attention clinicians do, we can use savvy engineering to move the needle substantially in the right direction. Technical Targeting: How clinically grounded engineering can make a difference Standard LLMs are essentially language predictors. They generate responses based on the statistical probability of one word following another. Because of this, when tasked with evaluating user safety, an out-of-the-box LLM defaults to generalized assumptions, scanning for explicit danger words (e.g., “suicide” or “kill”) rather than subtle behavioral shifts. Pairing AI systems design with clinical psychology can swap this probabilistic modeling for clinical precision. Embedding strict clinical rubrics into the model’s architecture, we force the AI to evaluate intent, situational stressors, and vulnerability like a clinician would. This means translating clinical guidelines into an operational scoring matrix with a dynamic, dimensional framework built on definitions for: Acute risk: The immediate presence of a plan, intent, and the means to carry out SSH. The mathematical baseline for a user’s danger level. Contextual multipliers: The overall weight of a user’s stressors. Are they in a cycle of chronic ideation? Have they recently experienced a severe setback like a job loss or eviction? These act as risk escalators. Protective factors: A critical clinical component often ignored by standard AI. Does the user mention dependents, a desire for therapy, or use recognized harm-reduction techniques? These mitigate the immediate risk score. Improper facilitation: A common flaw in LLM safety is permitting users to extract harmful instructions by disguising them as fiction, roleplay, or research—this is one of the main vectors for enabling off-platform harm. Regardless of whether a request is framed as screenplay or a school project, the LLM must refuse to provide actionable details such as dosages, injury methods, or concealment tactics. When physical harm is at stake, stated context never outweighs real-world safety. Rather than relying on basic keyword identification as a trigger for escalation, the engine weighs a user’s acute risk and contextual vulnerabilities against their protective factors to determine a final total risk acuity score, radically outperforming legacy filters. But building a clinically sound model is just the first step. Human moderators have a big role to play, too. They are the ones who review the cases escalated by LLMs. To help prepare these teams, engineers and clinicians can work together to build training modules that help moderators understand cumulative risk acuity, recognize user danger, and protect their own mental health as they navigate emotionally impactful scenarios. If left unaddressed, SSH will become increasingly prevalent in LLM interactions. Getting prevention and intervention right requires collaboration—between clinicians and engineers, and between chatbots and moderators. A true “two sides of the same coin” approach. The good news is, we’re seeing some momentum in the field, and technology companies have begun seeking expert, clinical counsel on how they can enrich their AI offerings to double down on user safety. Safe Strategy: A smarter, better future for AI This dual strategy, built on both mental health practices and technological savvy, should be the standard for all AI tools. Any technology company that builds conversational AI tools (or white-labels tools for systemic integration) has a vested interest here; they are potentially liable for their tool’s behavior. We can no longer afford to treat SSH as an afterthought; it must be treated as a critical safety vector. We need to engineer protections for high-acuity crises into the foundation of our AI tools. While SSH incidents may represent a smaller fraction of total traffic, they are the highest severity interactions a model will ever handle. The ramifications of failure are enormous, resulting in lasting emotional and physical damage or loss of life. This work is the ultimate “yes, and.” It’s advanced technology and evidence-based psychological health. It’s work that’s difficult and profoundly good for humanity. It’s how we protect the mental health of vulnerable users and the human moderators who intervene. It’s how we all stay safe together. View the full article

Google updated their spam reporting tool to warn they won't process reports that contain personal information. The post Google Won’t Act On Spam Reports If They Contain Personal Information appeared first on Search Engine Journal. View the full article

The modern email inbox can be disorganized and unwieldy. Important emails get lost under spam and receipts, and the search function doesn’t always work like you hoped it would. Many of us gave up on inbox zero long ago. If that sounds like you, this new smart email client might be exactly what you’re looking for. Extra is an email inbox app designed by Build Forever, a software company founded by a trio of former Pinterest employees. The app intriguingly reimagines the entire user experience of the inbox from one of stacked, accumulating, text-only subject lines to an image-rich interface that surfaces the most important emails for you using AI. Build Forever promotes their email client like a personal assistant (“Your entire inbox. Handled for you.”), and it works by analyzing emails before they’re opened and organizing them in order of urgency. There’s a Today Tab that shows your most important emails at a glance, and they’re classified by terms like “Needs action” and “Happening today” to get to now, or “Good to know” and “More to browse” for emails you can get to later. Demo screenshots of the app, which is available now only through a waitlist, shows an interface that’s much more visual, digestible, and welcoming than text-only subject lines. Instead, Extra gives the inbox the look of an AI chatbot and digital magazine. Extra’s Today Tab spits out a summary that tells you things like upcoming events, people who emailed you and why, and when a package you ordered is expected to arrive. Its output is formatted like a ChatGPT response, with bullet points, bold text, and emoji, and users can write back and ask it questions. The app’s smart categories feature auto-organizes your inbox into sections like news, shopping, and travels, and email is illustrated with full images, turning the interface into something more like a personalized newspaper. Emails live or die by their subject lines in an all-text inbox, but with Extra, editorial illustrations, photojournalism, and product photography can drive clicks now too. Extra has a voice composer and the app can also assist in writing emails in your tone, while the sender feature auto-cleans your inbox by noticing which emails you never open and unsubscribing from them for you. The inbox is ripe for a redesign as it’s gotten tougher to manage, and email platforms like Gmail and Proton Mail have experimented with AI features to try and improve and personalize it. There’s a functional incentive to improve the inbox, but Extra shows there’s also a chance to redesign the interface for reading emails entirely. As social media has homogenized into short-form video feeds, it’s left an opening for a better text-based alternative that email could evolve to fulfill. Email fatigue is real, but redesigning the inbox could change the experience for good, making it both more actionable and more fun to look at. View the full article

A proposed update to Basel III capital rules from federal banking regulators does not specifically include mortgage insurance as a factor in determining the risk weight for a mortgage loan held on a bank's balance sheet. Industry experts say it should. View the full article

Earlier in my life, I worked for a global company. I passed my manager in the hallway, and wanted to ask her a question. She was stressed and answered before I had even completed the question. I tried again. She did it again. On the third attempt, I looked at her and said, “Can you please be quiet until I have finished my question?” She stopped. I finished. She answered and then rushed away. Five minutes later, I did the exact same thing to one of my own people. That moment has stayed with me for decades. It wasn’t the most dramatic experience of my life, but it was one that made me embarrassed. I’d like to think that I’ve learned something since then. But it’s easy to slip back into habits that I wanted to leave behind. Most leadership communication failures are unconscious. And you can’t train unconscious habits away through values workshops, culture decks, or offsite strategy days. This is the problem with how organizations try to fix culture. The thing is, you can’t upskill culture. It is too abstract. Culture accumulates from thousands of conversations within an organization, and shapes how people behave, day after day, in meetings and corridors and one-on-ones. Communication shapes behavior, but behavior drives results. This is the sequence. Every instruction, presentation, piece of feedback, and every stressed or friendly hallway exchange moves people toward a desired behavior or away from it. If you want to understand the true state of an organization—its culture, its energy, and its direction, you need to listen to the everyday conversations. Strategy documents tell you what leadership intends. Conversations tell you what is actually happening. And every conversation will either build or break engagement. This is important because engagement is the bridge between communication and behavior. When people feel genuinely engaged, they do things because they want to, not because they have to. That’s the big difference. They show more creativity, collaboration, and higher commitment. But when they feel disconnected, they comply at best, which we now call Quiet Quitting. Global employee engagement fell from 23% to 20% in 2024. This is the second decline in twelve years, and it matched the drop that we saw during the COVID-19 lockdowns. Manager engagement dropped from 30% to 22% over the same period. Here is another disturbing fact: The people most responsible for driving team engagement are themselves disengaging. The ripple effect is predictable. Gallup’s data shows that you can attribute 70% of the variance in team engagement to the manager. The largest lever for organizational performance is the person leading the team, and specifically, how that person communicates. Highly engaged teams show a 23% increase in productivity and a 51% reduction in turnover compared to disengaged ones. The three communication superpowers After 20 years of working with leaders across industries and continents, I have identified three capabilities that set apart leaders who build high-performing cultures from those who erode them. I call them the ‘Three Communication Superpowers.’ The first is empathy. This is genuine presence, real connection, the ability to make the person in front of you feel that they matter. The team member I interrupted with a stressed response needed a leader who was actually listening. The second is clarity. You need to communicate so that people understand what the company expects from them, and remember what matters. As Martin Gutmann and I argued in a previous piece for Fast Company, transparency and clarity are distinct muscles. Clarity is about direction, and direction is what people need to perform. People can’t act on what they don’t remember, so the content needs to stick. The third is energy. This is your passion that manifests in how you look and how you sound, like your non-verbal communication. It’s the oldest form of communication, and people read body language and tone before they process words. A leader who delivers important messages in a flat, distracted way signals that the message itself is low priority. Energy is about letting genuine commitment show. The good thing is that these three superpowers are trainable. These are all examples of skills, which you can develop. When leaders take the time to develop them, engagement rises, behavior shifts, and results follow. Culture changes because leaders start having different conversations—with more presence, more direction, and more genuine care for the people they lead. That’s where it starts, and that’s where you can change it. View the full article

A few years ago, employees at the Chinese tech giant ByteDance, the company behind TikTok, received an unusual internal reminder: colleagues should avoid using “您” (nín), the formal and respectful version of the Chinese word “you.” Instead, employees were encouraged to address everyone using “你” (nǐ), the informal form, regardless of rank. For many younger staff members, the change felt natural. ByteDance had deliberately built a fast-moving start-up culture that emphasized equality, speed, and open communication. But for others, particularly those accustomed to more traditional professional environments, the change felt almost radical. After all, in Chinese culture the choice between 你 and 您 is not merely linguistic—it signals respect, hierarchy, and social distance. This small linguistic shift reveals something important: China’s business culture is evolving, but the cultural signals of respect and power still matter deeply. For international executives navigating China’s complex business landscape, understanding these signals can make the difference between smooth collaboration and subtle misunderstanding. Respect is relational, not individual In many Western workplaces, respect is often associated with equality, informality, and open debate. Leaders encourage employees to challenge ideas, address colleagues by their first names, and voice disagreement directly. In China, respect is often expressed differently. It is closely tied to relationships and to the roles individuals occupy within a broader social structure. This perspective has roots in Confucian philosophy, which emphasises social harmony and ordered relationships. One enduring idea is 尊卑有序– the belief that relationships should reflect an appropriate order between senior and junior. In business settings, this principle often appears in subtle ways: seating arrangements in meetings, the order of speaking, and how people are introduced. To outsiders, these details may seem minor. But in China, they often communicate respect before a single substantive discussion even begins. Ignoring them can unintentionally undermine trust. When “Vice” titles matter—and when they don’t One subtle but revealing example concerns how professional titles are used. In many Western organizations, titles are frequently shortened or ignored in conversation. A Vice President may simply be introduced by first name or described casually as part of a team. In China, however, titles often carry symbolic meaning because they reflect hierarchy and organizational standing. International executives often ask whether they should include the prefix “副” (vice or deputy) when introducing someone with a title such as 副总裁 (Vice President) or 副主任 (Deputy Director). The answer depends on context. If the person is the most senior representative present from their organisation, it can be appropriate to introduce them simply using the senior title. A visiting Vice President, for example, may be introduced as “总裁” (President) or “负责人” (Head) in an external meeting. The intention is not to exaggerate the title, but to convey respect toward the organisation’s representative in that moment. However, if the actual senior leader is present, omitting the prefix 副 would be inappropriate. Doing so could blur the hierarchy and create confusion about authority. This illustrates how titles in Chinese professional culture function not merely as administrative labels, but as signals of relational balance. For international managers unfamiliar with this system, small details like these can easily become moments of confusion, or opportunities to demonstrate cultural awareness. Power is closely linked to responsibility Another common misconception is that hierarchical cultures necessarily produce authoritarian leadership. In reality, the Chinese understanding of power often places strong emphasis on responsibility. Authority is expected to carry obligations toward the collective. Leaders are responsible not only for achieving results but also for maintaining organisational stability, protecting group cohesion, and ensuring long-term success. As a result, decision-making may involve more consultation and careful relationship management than some Western executives expect. What may appear as hesitation is often a deliberate effort to balance multiple relational considerations. Understanding this logic can prevent frustration in cross-cultural collaboration. China’s workplace culture is evolving China’s business culture today is not static. Rapid economic development, global exposure, and generational change are reshaping workplace norms. Younger professionals, particularly those who have studied or worked abroad, often combine elements of Chinese and Western communication styles. The ByteDance example illustrates this shift. By discouraging the use of “您”, the company attempted to reduce hierarchical distance and encourage open communication. Yet such changes coexist with deeply embedded traditions. In many state-owned enterprises, government institutions, and established corporations, hierarchical etiquette remains important. Rather than viewing Chinese business culture as rigid, it is more accurate to see it as adaptive—a blend of historical values and modern organizational practices. Different sectors, companies, and generations may operate according to slightly different expectations. For international leaders, context matters. Why this matters for global leadership As China continues to play a central role in the global economy, intercultural competence is becoming a core leadership skill. Misunderstandings about respect and power can quietly undermine partnerships, negotiations, and team management. Small signals, how meetings are structured, how feedback is delivered, or how colleagues are addressed, can shape perceptions of credibility and trust. Leaders who succeed across cultures tend to approach unfamiliar systems with curiosity rather than certainty. They observe carefully. They ask questions. And they recognise that behaviours which feel natural in one culture may carry very different meanings in another. The future of intercultural leadership In a world where organisations increasingly span continents, cultures, and languages, the ability to interpret cultural signals is becoming essential. China’s evolving approach to respect and power illustrates a broader reality of global business: cultural traditions rarely disappear. Instead, they adapt. For international leaders, success will not depend solely on strategy or market knowledge. It will also depend on understanding the subtle ways people communicate respect, authority, and trust—and responding to those signals with cultural intelligence. Because in global business, relationships still matter. And respect remains one of the most powerful signals of all. View the full article