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by Ric @ Jobric

In April, American companies announced 83,387 layoffs. 21,490 of them, more than one in four, were attributed by employers themselves to artificial intelligence and automation. That made AI the leading reason cited for layoffs for the second month in a row.

That number is doing two things at once.

Some of it is real. Some of it is cover.

Telling the difference matters more than any career advice you'll read this year, because it determines whether the right move is to retrain, switch industries, or just wait out a financial pretext your boss is using to justify cuts they were going to make anyway.

Let me walk you through what the math actually says.

The most important number in this conversation isn't 26%. It's the gap between two other numbers.

The International Monetary Fund's January 2024 analysis estimated that 40% of jobs worldwide are exposed to AI, rising to roughly 60% in advanced economies. Goldman Sachs Research put it more dramatically: AI could expose the equivalent of 300 million full-time jobs to automation worldwide, and automate tasks accounting for 25% of all US work hours.

Those are exposure numbers. They measure which jobs could be touched by AI. They don't measure which ones have been.

The actual displacement is much smaller and much slower. Goldman's longer-term estimate is that AI will displace roughly 6 to 7% of the US workforce. That's about 11 million workers. Large, but over years, not quarters. The World Economic Forum's Future of Jobs Report 2025 projects 92 million jobs displaced and 170 million created over the 2025 to 2030 period. Net gain of 78 million roles.

The gap between the 40–60% exposure number and the actual displacement count is where AI washing lives.

AI washing is when a company announces layoffs and attributes them to AI even when AI isn't really the driver. Maybe revenue softened. Maybe a product line failed. Maybe interest rates squeezed margins. Maybe the CEO needs to ship a better quarterly number. Whatever the actual reason, "we're optimizing through AI efficiency" sounds better to Wall Street than "we made bad bets and need to cut costs."

Don't take my word for it. Take Sam Altman's.

At the India AI Impact Summit, Altman said directly: "there's some AI washing where people are blaming AI for layoffs that they would otherwise do, and then there's some real displacement by AI of different kinds of jobs."

The CEO of OpenAI just told you that some companies are using his industry as a polite cover. He has every commercial reason to overclaim AI's impact and he chose to undercut his own narrative. That's worth taking seriously.

Andy Challenger, the firm whose data drives most of the news cycle on this, said something similar but pointed in a different direction: "Regardless of whether individual jobs are being replaced by AI, the money for those roles is." That's the honest version. Companies are reallocating budget toward AI infrastructure, data centers, and engineering talent. The roles themselves may not be automatable yet. The dollars to pay for them are gone anyway.

So there are really three categories of "AI layoff" hiding in that 26% number:

All three look identical in the Challenger data. None of them look the same from inside.

For job seekers, the question that matters isn't whether AI will eventually displace some roles. It will. The question is whether your role is on the early end of that curve or the late end.

Anthropic's own labor market research found something worth pausing on. For workers aged 22 to 25, the job-finding rate in highly AI-exposed occupations dropped by about 14% compared to 2022. The drop in less-exposed occupations was much smaller. Entry-level white-collar work is taking the first wave of the punch.

The roles seeing the fastest AI-driven displacement right now:

The roles that are mostly untouched so far:

The pattern: tasks that are bounded, repeatable, and produce a checkable output are AI-exposed. Tasks that require physical presence, regulated judgment, or owning a relationship over time are not.

If your role is in the first list, the question isn't "should I be worried." The question is "where does my skill set translate?"

A few honest moves:

The reflex when you see a number like 26% is to panic. The right move is to figure out which 26% your role belongs to.

Almost everyone writing about this is wrong in one of two directions. The doom side claims AI is taking everything. The dismissal side claims it's all hype and nothing is changing. Both are wrong because the truth is uneven.

Some roles really are getting replaced. Not most. Not nearly as many as the headlines suggest. But some.

A larger group of roles is getting reorganized. Same work, fewer people, AI doing the bottom 30% of the task. A senior copywriter doesn't get replaced. The team of four junior writers does, and the senior person now reviews AI output instead.

The largest group, by far, hasn't been touched at all. It just feels like it has, because the people in those roles read the same headlines as everyone else and bring the anxiety home from work.

Your job is to figure out which group you're in and act accordingly. Not based on Twitter takes. Not based on a CEO's quarterly earnings narrative. Based on what your actual day-to-day work involves, and what the technology can credibly do today, not in two years.

If you've been doom-scrolling AI layoff news and wondering whether your career is on borrowed time, twenty minutes with Jobric will show you which adjacent roles your skills already qualify for. We map career paths from where you are to where the market is hiring. Not just within your current industry, but across the lines you didn't know you could cross.

The job market works for you now.

That's the update. Now go do something that isn't job searching.

Ric @ Jobric

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