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Workers aged 22–25 in highly AI-exposed occupations are employed 19% below where they would be absent AI-driven hiring changes — a gap invisible in standard unemployment statistics, according to the Stanford Digital Economy Lab.
A Stanford SCALE review of 800+ studies found zero high-quality U.S. causal studies on AI's effect on K–12 students — while states legislate and districts deploy at scale.
The Stanford HAI AI Index 2026 is the year's most rigorous benchmark of where AI actually stands. Here are the 12 findings that matter most for businesses, policymakers, and anyone making decisions about AI.
Frontier AI models now solve real software engineering tasks with near-perfect accuracy — but the same report finds leading AI systems are disclosing less about how they work than ever before.
Stanford awarded $1 million in seed grants to faculty and students willing to fundamentally reimagine pedagogy in the AI era — as 64% of students already use AI weekly, even where banned.
Stanford announced $1 million in seed grants to redesign higher education for a world where 64% of college students already use AI weekly for coursework — often against school policy.
The Stanford AI Index 2026 finds top AI agents complete complex scientific research tasks at half the rate of human PhD experts — a significant check on agentic AI hype, even as frontier models exceed 50% on Humanity's Last Exam.
The 2026 Stanford AI Index found China closed the US AI performance lead from 9.26% to 1.70% in one year — while major labs slashed transparency scores by 31%.