AI Was Going to Kill Millions of Jobs. A Year Later, the Numbers Tell a Different Story.

Key points

• In May 2025, Anthropic CEO Dario Amodei predicted AI would eliminate half of all entry-level white-collar jobs.
• One month later, OpenAI CEO Sam Altman said certain job categories would disappear entirely.
• Companies began citing AI as a reason for layoffs in 2025, prompting worker organizing and student anxiety.
• Despite those predictions, no mass wave of AI-caused unemployment has appeared in the data so far.
• Economists expect more change ahead, but on a longer timeline than early headlines implied.

The carnage was supposed to be obvious by now.

In May 2025, Dario Amodei, chief executive of Anthropic (the company behind the Claude AI assistant), told an audience that AI would wipe out half of all entry-level white-collar jobs. White-collar work means desk jobs: accountants, paralegals, junior analysts. Half. Gone. A month later, Sam Altman, chief executive of OpenAI, went further. Entire job categories, he said, would simply stop existing.

So what actually happened?

The predicted wave never arrived, at least not in the employment statistics. Job losses tied directly to AI haven't shown up at the scale either executive suggested, according to reporting first flagged by The Guardian AI. We covered the human side of this in our 23 July story "Will AI take my job? What the evidence actually says", which found the same gap between alarm and data.

That doesn't mean nothing changed. Companies did cite AI in layoff announcements. Workers organised. Students began rethinking career paths. But "beginning to change" and "mass carnage" are very different things.

Why the gap between prediction and reality?

Economists point to a familiar pattern: new technologies tend to shift work before they eliminate it. A spreadsheet didn't fire accountants overnight; it changed what accountants spent their days doing. The same logic may apply here.

Large language models, the technology behind tools like ChatGPT and Claude that can write, reason and answer questions at speed, are getting cheaper to run. But deploying them inside real businesses takes time. Legal reviews, retraining costs, liability questions and organisational inertia all slow the process down.

That lag matters. The disruption economists expect may still be coming, just not on the timeline a May 2025 headline implied.

What does this mean for ordinary workers?

If you work a desk job involving writing, research or customer communication, the honest answer is: stay alert, not panicked.

Evidence so far suggests AI is changing how tasks get done inside those roles faster than it's eliminating the roles themselves. Employers are starting to expect workers to use AI tools the way an earlier generation was expected to learn email or Excel. That's not a guarantee of safety forever, but it does mean the timeline appears to be years, not months.

Common questions

Are AI-related layoffs actually happening?

Yes, some companies have cited AI when announcing job cuts, particularly in customer support and entry-level content roles. But economy-wide data doesn't yet show AI as a leading cause of unemployment.

Should students avoid certain degrees because of AI?

Not based on current evidence. Careers involving judgment, physical presence and relationship-building remain largely unaffected so far. The more useful question is which skills within any field AI tools can strengthen, not which fields to abandon.

Will this change?

Economists broadly expect AI to reshape more jobs as the technology matures. The current picture is a pause, not a verdict.