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Economists say many people who qualify for unemployment do not apply, benefits are smaller than before, and AI could raise job losses in the next few years.
In short: Economists and policy experts say the US unemployment insurance system is too hard to use and too limited if AI leads to larger job losses.
Unemployment insurance, often called UI, is the program that sends temporary payments to people who lose a job through no fault of their own. Experts told The New York Times that the system is already falling short for today’s workers, and it could struggle more if more jobs are automated.
One major issue is that many eligible people never apply. In 2022, about 75% of unemployed people did not file for UI, and experts say that pattern continues. Many believe they do not qualify, some think they will find a new job quickly, and others say they do not need the money.
Even for people who apply, the odds are not great. Only about 55% of applicants receive benefits, often because they quit voluntarily, were fired for misconduct, do not have enough work history, or already used up benefits. Benefits have also gotten smaller over time, and some states have cut how long payments last to as little as 12 weeks.
At the same time, some AI leaders are warning about faster changes in office jobs. Anthropic CEO Dario Amodei and Microsoft AI chief Mustafa Suleyman have suggested that automation could affect many white-collar roles within 1 to 5 years. The US unemployment rate has risen to 4.4% in early 2026, while weekly UI claims have stayed around 200,000 to 250,000, which suggests many jobless workers are not using the system.
Experts are calling for major reforms, like simpler applications and broader eligibility, especially for workers with shorter job histories. The key question is whether federal and state governments act before a bigger wave of layoffs, or only after the system is already overloaded (like trying to widen a doorway after the crowd has arrived).
Source: NYTimes