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Anthropic:2026经济指数报告:学习曲线(英文版)(20页).pdf

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1、Anthropic Economic Index ReportThe Anthropic Economic Index report:Learning curvesAuthors Maxim Massenkoff,*Eva Lyubich,*Peter McCrory,*Ruth Appel,Ryan HellerAcknowledgements Tim Belonax,Keir Bradwell,Andy Braden,Dexter Callender III,Miriam Chaum,Madison Clark,Evan Frondorf,Deep Ganguli,Kunal Handa,

2、Hanah Ho,Owen Kaye-Kauderer,Jennifer Martinez,Miles McCain,Jared Mueller,Kelsey Nanan,Tyler Neylon,Dianne Penn,Sarah Pollack,Ankur Rathi,David Saunders,Michael Stern,Alex Tamkin,Kim Withee,Jack Clark*Lead authors of the reportPublished March 24,20262Anthropic Economic Index ReportIntroductionThe Ant

3、hropic Economic Index uses our privacy-preserving data analysis system to track how Claude is being used across the economy.Its part of our effort to understand the economic impacts of AI as early as possible,so that researchers and policymakers have adequate time to prepare.This latest report studi

4、es Claude usage in February 2026,building on the economic primitives framework introduced in our previous report(which used data from November 2025).Our sample covers February 5 to February 12,three months following the release of Claude Opus 4.5 and coincident with the release of Claude Opus 4.6.We

5、 first document how usage has changed relative to our previous reports:the rate of augmentation,collaborative interaction where the AI complements the users abilities,increased slightly in both Claude.ai and API traffic.In Claude.ai,usage diversified,with the top 10 tasks accounting for a smaller sh

6、are of usage last month than in November 2025.As a result of this diversification,the average conversation in Claude.ai had a slightly lower-wage task than in previous reports.We then focus on an important determinant of Claudes impact on the labor market and the broader economy:learning curves in C

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1. **使用场景多样化**:Claude.ai平台任务集中度下降,前10大任务占比从24%(2025年11月)降至19%(2026年2月),个人查询(如体育、产品比较)占比从35%升至42%。 2. **学习曲线效应**:高资历用户(使用≥6个月)任务成功率更高(+10%),更倾向高价值工作(教育任务占比+6%),个人对话减少10%。 3. **模型选择匹配任务**:付费用户中,编程任务使用Opus模型比例达55%(+4.4pp),而教育任务仅45%;API用户任务价值每增$10/小时,Opus使用率升2.8pp。 4. **地理差异持续**:全球使用不平等加剧,前20国人均占比升至48%;美国州内收敛放缓,预计需5-9年达平等。
AI如何改变工作? 谁更擅长用AI? AI会加剧不平等吗?
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