AI Layoffs Are Real. Here's Who's Next and What to Do

Sameer's Take is an opinion column. The views are Sameer Khan's own.

Last Updated: November 14, 2026

When a company says AI caused its layoffs, I believe it's mostly telling the truth. AI layoffs are real, they are landing first on entry-level office jobs and customer support, and the people in those seats should start preparing now, not after the next round of cuts.

That's not the popular take right now. A lot of smart people argue that "AI" has become a polite cover story for ordinary cost cutting. They have some data on their side, and I'll walk through it. But after looking at the numbers, the filings and who is actually losing work, I keep landing in the same place.

A bit about where I'm coming from: I work in B2B sales, with five years in research and advisory services and AI, and I use AI every single day in my job for emails, prep work and notes. I'm not watching this from the sidelines.

US employers have tied more than 121,000 announced job cuts to AI so far in 2026. Outplacement firm Challenger, Gray & Christmas counted 121,401 AI-attributed cuts from January through October 2026, more than double the 54,836 for all of 2025, according to HRD America's breakdown of Challenger's data. That works out to about 20% of the 617,189 cuts announced this year.

The bigger tell for me is where companies say it. Oracle didn't just mention AI in a press release. In its annual report filed in June 2026, Oracle disclosed that it cut about 21,000 jobs over the year and said the "adoption and deployment of AI technologies across our operations have resulted, and may continue to result" in workforce reductions, as HRD America reported. That is not a throwaway line.

Salesforce was even blunter. In September 2025, CEO Marc Benioff said of the company's support team, "I've reduced it from 9,000 heads to about 5,000, because I need less heads," speaking on The Logan Bartlett Show, NBC News reported. Its AI agents now handle about half of customer conversations, according to TechRadar.

Over the next two years, I think the jobs most at risk are entry-level white-collar roles and customer support. Both are built on work that AI already does well: drafting, summarizing, answering routine questions and moving information from one system to another.

The hit to junior workers is already measurable. Stanford's Digital Economy Lab found that employment for workers aged 22 to 25 in AI-exposed occupations is 19% below where it would be if it had kept pace with less-exposed peers, with no similar gap for experienced workers, according to the "Canaries in the Coal Mine" paper (revised August 2026). The researchers say the gap comes mainly from companies hiring fewer young people, not from firing more of them.

That matters. The first wave of AI job loss doesn't look like a mass layoff. It looks like the entry-level job that never gets posted. Recent college grads had a 5.2% unemployment rate in the third quarter of 2026, and 42.5% were underemployed, based on the New York Fed's latest quarterly data. I believe AI agents will replace many entry-level office jobs within three years. We dig into the graduate side of this in our guide to AI and entry-level jobs for college graduates.

Customer support is the clearest case of AI replacing jobs, because the work is high volume and easy to measure. The US Bureau of Labor Statistics projects customer service representative jobs will shrink 5.5% from 2024 to 2034, a loss of 153,700 positions, and says "the growing adoption of AI technology and resulting productivity gains are expected to dampen labor demand," according to BLS's July 2026 projections.

Uber cut 10% of its community operations team, which handles customer service, in July 2026. A spokesperson said the move was part of a push to "simplify operations, strengthen in-person collaboration, and continue to embrace AI," The Next Web reported. For a deeper look at the role itself, see will AI replace customer service jobs.

The other side deserves a fair hearing, because parts of it are right. The strongest point: the broad labor data doesn't show mass AI displacement yet. The Yale Budget Lab found AI's effect on the job market "largely reflects stability, not major disruption at an economy-wide level," and executive director Martha Gimbel said "it just doesn't seem like there's major macroeconomic effects here," as Allwork.Space reported in February 2026.

Lightcast economist Elena Magrini put it plainly to HRD America: "we are not seeing that in the labor data." Oxford Economics went further in the same Allwork.Space report, saying it suspects "some firms are trying to dress up layoffs as a good news story rather than bad news." Brookings researcher Molly Kinder has called the AI explanation an "investor-friendly message," per Entrepreneur. Pandemic over-hiring, tariffs and missed targets are real reasons too.

And the Challenger counts have a limit everyone should know: they record the reason an employer gives, not an independent audit of what drove each cut. Uber's own memo, for example, also blamed an organization that had become "too complex and siloed." And through October, "market and economic conditions" (130,531 cuts) passed AI as the top reason employers gave for 2026 cuts, per Outsource Accelerator's summary of Challenger's October report.

I agree the economy isn't collapsing. But "AI is causing an economy-wide jobs crisis" and "companies that cite AI are mostly telling the truth" are two different claims. The first is overblown today. The second fits the evidence.

The cuts companies pin on AI are concentrated in the work AI can actually do, like support and routine office tasks. Firms like Oracle are putting the link in legal filings, not just earnings-call talking points. And the Stanford data shows the damage hitting young workers through hiring that quietly stops, which barely registers in broad unemployment numbers.

If anything, the reported numbers could get smaller while the effect grows. AI-cited cuts fell to 1,265 in October. Andy Challenger said back in August that "as regulations start to take shape, companies will be even more careful in their announcements," per Challenger's July report. He also said AI "is shifting the labor market, it is not dismantling it." I think that's exactly right.

Don't wait for your company to move first. Here's what I'd tell anyone in an exposed role.

AI saves me 20+ hours a week across my sales job and this newsletter, and the biggest single time saver is writing emails. Pick one boring task you repeat every day and hand it to an AI tool first. Then check everything it gives you. In my view, the biggest mistake you can make with AI is trusting the output without reviewing it.

The goal is to be the person on your team who gets more done with these tools, not the person whose tasks get automated around them. Our AI in the workplace statistics show how fast colleagues are already adopting them.

AI is very good at the parts of a job that happen on a screen. It is much weaker at earning someone's trust, reading a room or managing a messy, long-term relationship. If your role is mostly processing, look for ways to shift toward work where the relationship is the value: account management, client-facing roles, partnerships and team leadership. We look at one example in will AI replace sales reps.

Request access to the AI tools your company is paying for, time to learn them and a training budget. Oracle's own filing warned its reorganization may create skill gaps, so retraining isn't charity. Employers need it, so make that case to your manager.

How many jobs have been lost to AI?
US employers attributed 121,401 announced job cuts to AI from January through October 2026, according to Challenger, Gray & Christmas. That is more than double the 54,836 for all of 2025. These figures reflect the reasons employers give, not an independent count.

What jobs will AI replace first?
Entry-level white-collar jobs and customer support are most exposed. Stanford researchers found employment for workers aged 22 to 25 in AI-exposed occupations is 19% below trend, and the BLS projects customer service representative jobs will fall 5.5% from 2024 to 2034.

Are companies really laying people off because of AI?
Some are, and some use AI as cover. Oracle and Salesforce have directly linked job cuts to AI, while the Yale Budget Lab and Oxford Economics say broad labor data shows no major economy-wide disruption yet and some firms may be dressing up ordinary layoffs.

AI layoffs are real. Companies that blame AI for job cuts are mostly telling the truth, even if a few are using it as cover. The economy isn't collapsing, but the bottom rung of office work and customer support is being automated first, mostly through jobs that are never filled.

If you work in one of those roles, the move is the same either way: learn the tools, get closer to the relationships and make your employer invest in your skills. The data on the AI job market will keep shifting. Your preparation shouldn't wait for it.

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Written by Sameer Khan with AI assistance, fact-checked against the sources linked above.