Survey data show wide but shallow generative AI adoption Chat logs misplace tasks and ignore abandoned or corrected answers Future data collection should record what happened to results
Generative AI at work has already passe
Exposure alone rarely predicts real productivity or employment outcomes Verification cost and demand elasticity decide where AI pays off Entry-level learning task loss may cost more than it saves
At an American cu
AI cuts youth hiring, not layoffs, first Retraining alone rarely works; wage insurance does Governments need measurable triggers before scaling tools
From November 2022 to June 2026, the employ
Training existing staff outperforms hiring AI specialists tenfold Error costs, not time saved, justify AI training investment Entry-level jobs vanish first, threatening future expert pipelines
Just 2 percent of U.S.
National AI capability splits into three separate functions Training, hosting and deployment often move in different directions No country leads every function at once
In 2025, private invest
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