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2026, the evidence · The economists

The jobs question, and what the data actually says

The honest summary is boring and nobody will like it. There is no detectable rise in unemployment among AI-exposed workers, and European firms using AI show no overall employment gap against firms that do not. And the door into a career is measurably narrowing for people under thirty.

ArgumentCheck before quotingOne source, or numbers that are still moving. Read the original before repeating it.

What happened

The aggregate. Anthropic economists Maxim Massenkoff and Peter McCrory found no detectable rise in aggregate unemployment for AI-exposed workers since late 2022. An ECB survey of around 5,000 firms, published in March 2026 by Laura Lebastard and David Sondermann, found no overall employment gap between firms using AI and firms that do not.

The entry level. This is where it shows. The job-finding rate for young workers entering high-exposure occupations has fallen by more than three percentage points since its peak in November 2023. Junior analyst, support agent, copywriter, data entry: the roles going first are the ones people used to start in. And AI-exposed entry-level jobs are now around seven times more likely than other entry-level jobs to demand senior-level skills like judgement and leadership, which is a polite way of saying the first rung has been sawn off.

The announcements. Challenger, Gray & Christmas counted 116,175 job cuts attributed to AI in the first eight months of 2026, about 22 percent of all announced cuts. Treat that number carefully. It counts what companies say, and saying AI is doing the cutting is a better story for a share price than saying demand fell.

The other direction. In 2024, the AI sector directly generated roughly 119,900 jobs in the United States, against roughly 12,700 tracked as lost to AI automation. That ratio will not hold forever and it is also not nothing.

What it points at

This is the part of the AI question that touches the most people in any room, and it is the part where the loudest claims on both sides are least supported. The mass-unemployment story is not in the data yet. Neither is the nothing-is-happening story.

The distributional point is the one worth holding: an economy can keep total employment flat while making it much harder to enter. That is not a smaller problem, it is a differently shaped one, and it lands on exactly the people who are least able to wait it out.

Note also who is doing the measuring. Two of the most-cited reassuring findings come from economists employed by an AI lab. That does not make them wrong, and it is worth saying out loud.

What we do not know

There is no Flemish or Belgian equivalent of these studies linked here yet. The High Council for Employment report is the obvious place to look and it has not been read into this dossier.

Every figure here comes from summaries of the studies rather than the studies themselves. Read the originals before quoting a number on stage.

Editor's notewhat we make of it, kept apart from what happened

Whoever is up front will get this question, probably first, and probably from someone with a child finishing their studies. Have the entry-level number ready and resist the urge to make it either worse or better than it is.

If you want one line: total employment is fine, the way in is not.

Sources

  1. Anthropic: labor market impacts of AI, a new measureresearch · main source · not read end to end yetResearch by an AI lab into whether AI is costing jobs. Read it, and read it knowing that.
  2. IntuitionLabs: AI and entry-level jobs, what hiring data really showsresearch · not read end to end yet
  3. Futurum: AI isn't coming for your job yet, and maybe never willargument · not read end to end yet
  4. JobsPikr: AI layoffs 2026, the ROI reality checkresearch · not read end to end yet

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