Stanford AI Index 2026 報告重點解析：美中差距剩 2.7%、AI 研究員赴美暴跌 89% | Stanford AI Index 2026: US-China Gap Shrinks to 2.7%, AI Researcher Immigration Drops 89%
By Kit 小克 | AI Tool Observer | 2026-04-19
🇹🇼 Stanford AI Index 2026 報告重點解析：美中差距剩 2.7%、AI 研究員赴美暴跌 89%
Stanford AI Index 2026 報告說了什麼？
Stanford HAI 每年發布的 AI Index Report 是觀察全球 AI 發展最權威的報告之一。2026 年版本在四月中旬發布，數據量比往年更龐大，結論也更令人驚訝：AI 能力飛速進步，但公眾信任持續下滑，人才流動出現警訊。
美中 AI 差距只剩 2.7% 代表什麼？
報告最震撼的數據：美國與中國頂尖 AI 模型的性能差距已經壓縮到僅 2.7%，而 2023 年時這個差距還是兩位數。自 2025 年初 DeepSeek-R1 短暫追平美國頂尖模型後，兩國一直在交替領先。這代表 AI 不再是美國一家獨大的遊戲。
AI 研究員赴美人數暴跌 89% 是怎麼回事？
過去七年，前往美國的 AI 研究人員數量下降了 89%，光是去年就暴跌 80%。新的 H-1B 簽證限制（每位雇主需支付 10 萬美元費用）被認為是主因。對美國 AI 產業來說，這是一個巨大的人才警訊。
AI 產業現況：數字會說話
企業投資與採用率
- 全球企業 AI 投資在 2025 年達到 5,817 億美元，年增 129.9%
- 美國私人 AI 投資達 2,859 億美元，是中國的 23 倍以上
- 組織採用率達 88%，五分之四的大學生使用生成式 AI
- 全球人口採用率：生成式 AI 在三年內觸及全球 53% 人口
AI 能力進展到什麼程度？
多個前沿模型在博士級科學問題和數學競賽上已達到或超越人類基準。在 SWE-bench Verified 程式碼基準測試中，表現在一年內從 60% 躍升至接近 100%。產業界生產了超過 90% 的前沿模型。
公眾信任危機：專家與民眾看法天差地遠
為什麼大眾對 AI 越來越不信任？
73% 的美國專家正面看待 AI 對就業市場的影響，但只有 23% 的一般民眾同意。更嚴重的是，美國在「民眾對政府監管 AI 的信任度」排名中墊底，僅 31%。同時，2025 年記錄在案的 AI 事故數量增至 362 起，比 2024 年的 233 起大幅增加。
對開發者和企業的實際意義
- 多元佈局：中國模型（如 DeepSeek）的崛起意味著不能只看美國廠商
- 人才策略：美國 AI 人才流入減少，遠端團隊和海外研發中心變得更重要
- 負責任 AI：前沿模型開發商幾乎都報告能力基準，但負責任 AI 基準的報告仍然零散
- 速度就是一切：AI 能力在一年內可以翻倍，等待觀望的代價越來越高
好不好用，試了才知道
🇺🇸 Stanford AI Index 2026: US-China Gap Shrinks to 2.7%, AI Researcher Immigration Drops 89%
What Does the Stanford AI Index 2026 Report Actually Say?
The Stanford HAI AI Index Report is one of the most authoritative annual snapshots of global AI development. The 2026 edition, released in mid-April, delivers a clear message: AI capabilities are accelerating faster than ever, but public trust is eroding and talent flows are shifting dramatically.
What Does the 2.7% US-China AI Gap Mean?
The report most striking data point: the performance gap between top US and Chinese AI models has compressed to just 2.7%, down from a double-digit lead as recently as 2023. Since DeepSeek-R1 briefly matched the top US model in early 2025, the two countries have been trading first place. AI is no longer a one-country game.
Why Did AI Researcher Immigration to the US Drop 89%?
Over the past seven years, the number of AI researchers entering the United States has fallen 89%, with an 80% decline in the past year alone. New H-1B visa restrictions including a 100,000 dollar employer fee per hire are cited as a key factor. For the US AI industry, this is a major talent warning sign.
AI Industry by the Numbers
Investment and Adoption
- Global corporate AI investment reached 581.69 billion dollars in 2025, a 129.9% increase year-over-year
- US private AI investment hit 285.9 billion dollars, more than 23x China 12.4 billion dollars
- Organizational adoption reached 88%, and 4 in 5 university students now use generative AI
- Global population reach: generative AI reached 53% of the world population within three years
How Far Has AI Capability Progressed?
Several frontier models now meet or exceed human baselines on PhD-level science questions and competition mathematics. On SWE-bench Verified, performance jumped from 60% to near 100% in a single year. Industry produced more than 90% of notable frontier models.
The Public Trust Crisis
Why Is Public Trust in AI Declining?
73% of US experts view AI job market impact positively, but only 23% of the general public agrees. Even more concerning: the US ranks last among surveyed countries in public trust in its government to regulate AI, at just 31%. Meanwhile, documented AI incidents rose to 362 in 2025, up from 233 in 2024.
What This Means for Developers and Businesses
- Diversify your model stack: Chinese models like DeepSeek are now competitive — do not only watch US providers
- Rethink talent strategy: with US AI talent inflow declining, remote teams and overseas R&D centers matter more
- Responsible AI reporting gaps: most developers report capability benchmarks but skip responsible AI metrics
- Speed is everything: AI capabilities can double in a year — the cost of waiting keeps growing
好不好用，試了才知道
Sources / 資料來源
- The 2026 AI Index Report - Stanford HAI
- Stanford AI Index 2026 Shows the State of AI - IEEE Spectrum
- China has nearly erased America lead in AI - Fortune
常見問題 FAQ
Stanford AI Index 2026 報告的重點發現是什麼？
美中 AI 模型差距僅 2.7%，全球企業 AI 投資達 5,817 億美元，AI 研究員赴美人數暴跌 89%，公眾對 AI 信任度持續下滑。
What are the key findings of the Stanford AI Index 2026?
The US-China AI gap shrank to 2.7%, global AI investment hit 581B dollars, AI researcher immigration to the US dropped 89%, and public trust in AI continues to decline.
美中 AI 差距為什麼只剩 2.7%？
DeepSeek-R1 等中國模型在 2025 年初短暫追平美國頂尖模型，此後兩國持續交替領先，差距從兩位數壓縮至 2.7%。
AI 研究員赴美人數為什麼暴跌？
新的 H-1B 簽證限制要求雇主支付每人 10 萬美元費用，導致七年間 AI 研究員赴美人數下降 89%，僅去年就暴跌 80%。
How much was invested in AI globally in 2025?
Global corporate AI investment reached 581.69 billion dollars in 2025, a 129.9% increase from the previous year, with the US accounting for 285.9 billion dollars.
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