President Donald Trump is reportedly considering a government review of artificial intelligence models before release, reversing a previous hands-off approach. Florida Governor Ron DeSantis supports legislation to protect consumers from rising electricity prices tied to new data centers. Public concern centers on AI safety and the impact of data centers, but a Milken Institute–Harris Poll finds Americans feel left behind on jobs. Eighty percent want workforce transition programs prepared now, and 68% feel they are navigating the AI transition alone. Business leaders similarly report that individual companies cannot solve AI workforce readiness alone and that a coordinated national response is required. AI disruption may accelerate because adoption of general-purpose technologies has increased across waves and AI spreads through software. The IMF estimates over 60% of jobs in advanced economies are exposed to AI, with the hardest effects on cognitive, white-collar work. A Stanford study finds workers aged 22 to 25 in the most AI-exposed occupations have already seen a 16% employment drop.
"A new Milken Institute-Harris Poll finds Americans feel left behind on the issue that matters most: jobs. A whopping 80% say they want the government to start preparing workforce transition programs now. Sixty-eight% feel they are navigating the AI transition entirely alone. Remarkably, business agrees. Eighty-eight percent of business leaders say individual companies cannot solve for AI workforce readiness alone and that a coordinated national response is required."
"AI disruption may move faster than anything we have seen before. Researchers have calculated that the speed of adoption of general-purpose technologies has increased with each successive wave - and AI's low deployment barriers, spreading through software rather than factories, make it faster still. The IMF estimates that over 60% of jobs in advanced economies are already exposed to AI - and unlike prior waves of automation that hit factories and routine tasks, this one lands hardest on cognitive, white-collar work: legal analysis, financial services, software development, administrative functions."
"A Stanford study found that workers aged 22 to 25 in the most AI-exposed occupations have already seen a 16% drop in employment. How severe the overall disruption will be remains genuinely uncertain. The Budget Lab at Yale, tracking the labor market monthly,"
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