Author: Xinzhiyuan
Editors: Haokun, Taozi
[Xinzhiyuan Insight] Stanford's "2026 AI Index Report" is out! This 432-page report is extremely valuable: the US-China AI showdown has nearly leveled, with the gap shrinking to just 2.7%. The world's top AI models, 95 in total, are mostly concentrated in big tech. Most critically, employment for developers aged 22-25 has been cut by 20%.
Today, Stanford HAI重磅 released the "2026 AI Index Report"!
This 423-page annual report comprehensively reveals the latest power dynamics of the global AI industry.
It presents a core conclusion: AI's capabilities are growing rapidly; but humanity's ability to measure and manage it hasn't kept pace.
Among the most shocking conclusions—
The performance gap between US and Chinese AI models has essentially disappeared, with the lead frequently changing hands in this peak showdown; currently, Anthropic's leading advantage is only 2.7%.
The US invests more money in AI than anyone else, but it's increasingly struggling to attract top talent.
The report also points out that AI evolution has not hit a so-called "bottleneck"; instead, it's advancing at an unprecedented pace.
Over the past year, over 90% of the world's top models have matched or surpassed human performance on doctoral-level scientific questions, multimodal reasoning, and competition mathematics.
Especially in coding ability, SWE-bench scores surged from 60% to nearly 100% in one year.
However, AI's "uneven proficiency" is extremely severe, presenting a distorted reality:
LLMs can win IMO gold medals but can't read analog clocks correctly, with an accuracy rate of only 50.1%.
Meanwhile, AI taking jobs has moved from prediction to reality, and the first to suffer are today's young "workers".
Here are the highlights: the 12 most hardcore trends from the "2026 AI Index Report".
Other quick highlights:
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Global AI computing power increased 30-fold in 3 years, NVIDIA独占 60%, almost all chips come from one company, TSMC
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Global corporate AI investment in 2025 was $581.7 billion, doubling year-over-year, the US alone accounted for nearly half
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AI researchers entering the US fell 89% over 7 years, dropping 80% in the past year alone
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Employment for software developers aged 22-25 has fallen 20% since 2024, entry-level positions precisely cut
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China has cumulatively built 85 public AI supercomputers, more than double North America's, ranking first globally
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AI usage rate in Chinese workplaces exceeds 80%, far surpassing the global average of 58%
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The strongest models are becoming black boxes, 80 out of 95 representative models did not公开 training code
US-China Face-to-Face Gap Only 2.7% Left
Stanford plotted the US #1 and China #1 from the Arena leaderboard since May 2023 on the same coordinate system.
In May 2023, gpt-4-0314 led with 1320 points, China was still chatglm-6b, a gap of over 300 points.
In February 2025, DeepSeek-R1 briefly tied with the US top model for the first time.
In March 2026, the US's Claude Opus 4.6 scored 1503 points, China's dola-seed-2.0-preview scored 1464 points.
The gap between US and Chinese AI is now only 39 points. Converted to a percentage, 2.7%.
More noteworthy is the frequency of lead changes over the past year. Since early 2025, the top models of the two countries have swapped positions on the Arena several times.
The numbers are also close to fifty-fifty.
In 2025, the US released 50 "significant models", China closely followed with 30 top-tier large models.
In the first tier, OpenAI, Google, Alibaba, Anthropic, xAI stand together, a fifty-fifty split of the global TOP 5.
Looking further down to TOP 10, Chinese institutions and companies occupy four spots: Alibaba, DeepSeek, Tsinghua, ByteDance.
The重心 of the open-source ecosystem has also明显东移 this year.
DeepSeek, Qwen, GLM, MiniMax, Kimi have been pushing the capability curve of open-source weights forward.
Add in论文发表量, citation counts, patent output, industrial robot installations, China ranks first globally in all.
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