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Evidence update · 31 October 2026

Norway’s exposed jobs show no clear broad employment decline

A Spanish occupation-level study adds a registered-unemployment warning. It cannot attribute job loss to employer AI use.

What changed

The 31 October check adds Norwegian private-sector register data through July 2026. The broad exposure-group employment gap is imprecise; the 21–30 result is also uncertain. This is not employer AI adoption or a causal effect.

The 30 October check finds 1.2% more registered unemployed workers per 10-point AI-exposure difference in Spanish occupations during November 2022–November 2024. The later estimate is imprecise and new contracts do not show a persistent drop. A separate employment analysis finds growth across Spanish exposure groups through 2025; its measure and outcome differ.

The 29 October check adds an October-revised survey of nearly 9,000 executives. They report little net employment change from AI so far, although more than 40% expect a positive or negative effect at their own firm over the next three years. The survey relies on executive attribution and forecasts.

The 28 October check adds a within-occupation U.S. employment comparison by gender and education. The gap is larger for workers without bachelor’s degrees; exposure is not observed AI use.

The 25 October check finds more newly classified duties in U.S. job ads for occupations using AI most. It measures advertised work, not people hired or jobs created.

The 24 October check adds a U.S. randomized survey experiment. An AI-as-substitute warning lowered hiring professionals’ ratings of fictional graduates, especially high-GPA applicants. It did not count real callbacks, offers or wage changes.

The 23 October check reports a 3.7% year-over-year fall among ages 22–25 in high-exposure occupations versus 0.2% growth in least-exposed work. The same comparison is −2.8% versus +0.9% for ages 26–30. These figures come from a selected, balanced private-firm panel, not all U.S. workers.

The 22 October check found remote-work exposure is a strong competing explanation for lower junior hiring shares in a four-country study through 2025. French hiring flows add a later entry warning that study does not cover.

German IAB records through 2025 show a smaller young-worker exposure difference after controls, not statistically distinguishable from zero. Different age bands and employment coverage prevent a direct U.S.–German comparison.

Broad U.S. tracking still finds no clear economy-wide AI footprint. Broad and narrow measures answer different questions.

What remains open

Did these employers adopt AI, change remote-work practice or reduce junior roles for other reasons? Compare the methods before making a causal claim.

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