The Highest Earners Are Now the Most Afraid of Losing Their Jobs in 2026

For years, the fear of a layoff lived mostly at the bottom of the pay scale, but in 2026 that fear has climbed the income ladder. According to Quartz, fresh data from the Federal Reserve shows that high-income, highly educated workers are now the group most anxious about losing their jobs, a reversal of the usual pattern where hourly and lower-wage employees carry the heaviest insecurity. The New York Fed survey found the average worker now puts the odds of losing their job in the next twelve months at 15.1 percent, and the deterioration has been sharpest among the best-paid third of the country. At Metaintro, we track these shifts so job seekers can act on them early, and the short version is this: if your salary suddenly feels less secure than it did a year ago, the data confirms you are not imagining it, and there are specific moves that help.

Why Are the Highest Earners Suddenly the Most Afraid?

The reversal is striking because it breaks a long-standing rule of the labor market. Historically, a college degree and a high salary functioned as a buffer against unemployment, and the workers who lay awake worrying about job cuts were disproportionately in retail, hospitality, and shift-based roles. That buffer is now thinner. Reporting from Quartz drawing on Federal Reserve survey data shows that the most educated, highest-earning Americans have become the most pessimistic about their own job security, while lower-income households have held roughly steady.

Part of what makes the trend so unusual is that it is happening while these workers still have jobs and while their pay remains high. This is anticipatory fear rather than a response to a wave of pink slips that has already hit them. The anxiety is concentrated in exactly the white collar corners of the economy, finance, technology, professional services, and corporate management, that once looked most protected. We have written before about how this white collar reckoning is reshaping office work, and the Fed numbers put hard figures behind a mood that many desk workers have felt for months. If you want the fuller picture on why this fear is spreading fastest among knowledge workers, our breakdown of the job security blind spot facing tech workers walks through the same dynamic from the inside.

What Does the Federal Reserve Data Actually Show?

The core evidence comes from the New York Fed's Survey of Consumer Expectations, a monthly panel that asks Americans how likely they think they are to lose their job, to find a new one, and to see their earnings rise. In the May 2026 survey, the mean perceived probability of losing one's job in the next twelve months rose by 0.5 percentage point to 15.1 percent, pushing it above the twelve-month trailing average of 14.4 percent. That figure alone would be unremarkable, but the story is in who is driving it.

Earlier in the year the same survey showed job-finding expectations falling to a series low, meaning that even confident workers had grown doubtful about how fast they could land a new role if the current one vanished. When CNN covered that release, the takeaway was blunt: Americans increasingly feel stuck, worried both about losing what they have and about the odds of replacing it. The combination of rising layoff fear and falling rehire confidence is what makes 2026 feel different from a normal soft patch, and it hits highest earners hardest because they have the most compensation to lose and the fewest comparable roles to jump to.

Is Artificial Intelligence Really Driving the Fear?

The most common explanation is automation, and the survey evidence lines up with it. CNBC reported that the University of Michigan Survey of Consumers now shows labor-market confidence among high earners near its lowest point going back to the late 1970s, with sentiment among the top third of earners at levels not seen since the financial crisis ended in 2009. Asked to explain the pattern, UBS chief economist Arend Kapteyn told CNBC that the most likely driver is AI fear, since white collar jobs are possibly at greater risk than the manual and in-person roles that automation has struggled to touch.

That fear is not baseless. High-profile corporate restructurings have repeatedly cited automation as a reason for cutting knowledge-work headcount, from Oracle's multibillion-dollar reorganization to the wave of layoffs at Meta tied to Zuckerberg's AI push. Surveys of leadership add to the unease, with our coverage of a Mercer study finding 99 percent of executives expect AI-related layoffs by 2028 showing that the people who make cutting decisions expect more of them. The result is a feedback loop where the roles once considered safest, junior white collar positions and mid-level analyst work included, now feel the most exposed. That said, the fear may be running ahead of the actual displacement, and it is worth keeping the gap between AI hype and reality in view rather than assuming every announcement reflects a real headcount cut.

Why Are White Collar Workers Staying Put Instead of Job Hopping?

One of the clearest fingerprints of this anxiety is behavioral: highly paid workers have stopped moving. CNBC reported that turnover in fields like finance and professional and business services has dropped to some of the lowest levels ever recorded, with professional and business services turnover in January hitting the lowest reading in the firm's data. When people fear the market, they cling to the job they have, and that reluctance to switch is itself a signal of how deep the insecurity runs.

The problem is that staying put is not the same as being safe. A frozen job market cuts both ways, because it also means fewer openings to escape to if your own role is eliminated, a dynamic we covered in our look at why so many workers now plan to quit but feel trapped. It echoes the rising job insecurity captured in recent ADP research, where even employed workers report shrinking confidence in their footing, and a parallel global ADP survey on job security shows the mood is not confined to the United States. When mobility freezes at the top of the income scale, the workers who once had the most options can suddenly find they have the fewest.

How Does This Fit the Broader 2026 Labor Market?

The anxiety is not happening in a vacuum. The headline labor market looks stable on paper, with the Bureau of Labor Statistics reporting that the June 2026 unemployment rate held at 4.2 percent even as payroll growth cooled to just 57,000 jobs, according to CNBC. A 4.2 percent unemployment rate is historically low, which is exactly why the fear feels paradoxical: workers are more scared than the raw numbers seem to justify.

That gap between hard data and lived sentiment is a theme across 2026. Fortune reported that between January and November 2025, consumer sentiment fell 29.8 percent in the lowest income tercile and 27.6 percent in the middle, but a steeper 32.1 percent among the highest third of earners, with research firm Morning Consult recording a 10.5-point sentiment drop among consumers earning more than 100,000 dollars a year. In other words, the people with the strongest balance sheets soured on the economy the fastest. Our reading of why the 2026 economy feels bad even to comfortable earners and our 2026 job market forecast both point to the same conclusion, which is that confidence, not the jobless rate, is where the damage is showing up first.

What Does This Mean for Your Career?

If you are a high earner reading this with a knot in your stomach, the useful move is to convert anxiety into a plan. The first step is to stop treating your salary as your security. A high income makes you more expensive to keep, which means the honest question is not whether you are paid well but whether your specific output would be hard to replace, whether by a cheaper hire or by automation. Workers who can point to revenue they drive, relationships they own, or judgment that a model cannot reproduce are the ones who survive restructurings, and that is true even in the roles the AI white collar squeeze is hitting hardest.

The second step is to build optionality before you need it. Because mobility has frozen, the time to refresh your materials and network is while you are still employed, not after a cut lands. That means keeping your resume current, since recruiters now spend as little as eleven seconds scanning each one, and it means learning to show AI fluency on your resume so you read as someone who uses these tools rather than someone they replace. It also means knowing your number, because a frozen market is a bad time to guess at your worth, and our guide to negotiating a higher offer helps you anchor to real data rather than fear.

The third step is to invest in skills that compound. The research increasingly shows that adaptability beats raw experience when industries shift quickly, and our rundown of the skills that keep you employable through constant change lays out where to focus. For workers who want a genuine hedge against automation, some of the most durable options sit outside the traditional white collar track entirely, which is why AI-proof skilled trades careers are drawing interest from people who never imagined leaving a desk. The point is not that everyone should abandon knowledge work, but that career security in 2026 comes from being deliberately hard to replace, not from a job title that used to feel safe.

It also helps to remember that this anxiety is cyclical, not permanent, because labor markets that seize up under a wave of automation fear have historically thawed once employers learn what the technology can and cannot actually do. The workers who use the anxious months to sharpen their skills, document their wins, and stay quietly visible are the ones who convert a moment of collective fear into a personal advantage, and that is a position every high earner can still choose to build starting today.

How Do You Build Real Job Security When No Salary Feels Safe?

The uncomfortable truth behind the Federal Reserve data is that job security has been redefined. It is no longer a function of tenure, credentials, or pay, but of how well your work maps to what employers still cannot easily automate or offshore. That reframing is actually empowering, because it puts the levers back in your hands. You cannot control whether your employer restructures, but you can control how visible your contribution is, how current your skills are, and how ready you are to move if you have to.

Start by auditing your role honestly against the tasks that AI is genuinely absorbing, and lean harder into the parts that require human judgment, trust, and accountability. Keep a living record of the outcomes you drive, not just the duties you perform, so that your value is legible to a hiring manager who has never met you. Stay loosely connected to your network even when you are not looking, because the five ways to future-proof a career in a changing industry all depend on relationships you build before the crisis, not during it. And treat the current freeze in white collar hiring as information rather than a verdict, because markets that lock up eventually loosen, and the workers who prepared during the anxious stretch are the ones positioned to move when they do. The highest earners may be the most afraid right now, but fear that gets turned into preparation is exactly what turns a vulnerable position into a resilient one.

Related Articles

• The AI Job Security Blind Spot Facing Tech Workers in 2026
• How AI Hype and Reality Are Changing White Collar Work
• ADP Research Shows Job Insecurity Climbing Among Workers in 2026
• Why So Many Workers Plan to Quit in 2026 but Feel Trapped
• Why the 2026 Economy Feels Bad Even to Comfortable Earners
• 2026 Job Market Forecast and the Unemployment Outlook
• 99 Percent of Executives Expect AI Layoffs by 2028
• Career Skills That Keep You Employable Through Constant Change
• Five Ways to Future-Proof Your Career in a Changing Industry
• AI-Proof Skilled Trades Careers With Salary and Apprenticeship Paths
• How to Show AI Fluency on Your Resume in 2026

People Also Asked

Q: Why are high-income workers more afraid of layoffs than lower-income workers in 2026?

A: New Federal Reserve survey data shows that layoff anxiety has shifted up the income ladder, largely because of artificial intelligence. White collar roles in finance, technology, and professional services are seen as more exposed to automation than many in-person or manual jobs, so the workers who once felt most protected by their degrees and salaries now feel the most at risk. As Quartz reported, the most educated and highest-paid Americans have become the most pessimistic about their own job security.

Q: What does the Fed survey say about the odds of losing your job?

A: According to the New York Fed's Survey of Consumer Expectations, the mean perceived probability of losing your job in the next twelve months rose to 15.1 percent in the May 2026 survey, above the twelve-month trailing average of 14.4 percent. Earlier in the year, the same survey showed job-finding expectations falling to a series low, meaning workers also grew less confident about landing a new role if they were let go.

Q: How can I protect my career if even high salaries no longer feel safe?

A: Focus on being hard to replace rather than well-paid. Keep a running record of the outcomes you drive, deepen skills that require human judgment and trust, learn to work fluently alongside AI tools, and refresh your resume and network while you are still employed. Because white collar mobility has frozen, preparing during the anxious stretch, rather than after a cut, is what turns a vulnerable position into a resilient one.

Feeling the squeeze even with a strong salary is the new normal, but you do not have to navigate it blind. At Metaintro, we turn labor-market data like this into clear, practical moves for your next step, so you can build security that does not depend on your job title staying safe. Create your free Metaintro account to get job-market intelligence and opportunities matched to where the market is actually heading, and stay a step ahead of the fear the surveys are only now catching up to.