AI advances outpace safety as U.S.-China performance gap closes

AI capabilities continue to accelerate, with industry producing over 90% of notable frontier models in 2025. Several models now meet or exceed human baselines on advanced science questions, multimodal reasoning and competition mathematics. Organizational adoption reached 88%, while 4 in 5 university students now use generative AI.

The performance gap between U.S. and Chinese models has effectively closed. As of March 2026, Anthropic’s top model leads by just 2.7%. The United States retains an investment advantage, with private AI investment reaching $285.9 billion in 2025, compared with $12.4 billion in China. Those figures likely understate China’s total spending because they exclude government guidance funds. AI hardware supply remains concentrated, with TSMC fabricating almost every leading AI chip.

Advanced benchmark results coexist with basic weaknesses. Gemini Deep Think earned a gold medal at the International Mathematical Olympiad, yet the top model reads analog clocks correctly just 50.1% of the time. Responsible AI testing remains inconsistent, and documented incidents rose to 362, up from 233 in 2024. Research also shows that improving safety can reduce accuracy.

Education and public confidence are struggling to keep pace. Over 80% of U.S. high school and college students use AI for school-related tasks, but only half of middle and high schools have AI policies. While 73% of experts expect positive effects on how people do their jobs, just 23% of the public shares that view.