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Anthropic Economic Index report: Uneven geographic and enterprise AI adoption

Author

Listed:
  • Ruth Appel
  • Peter McCrory
  • Alex Tamkin
  • Miles McCain
  • Tyler Neylon
  • Michael Stern

Abstract

In this report, we document patterns of Claude usage over time, in 150+ countries, across US states, and among businesses deploying Claude through the API. Based on a privacy-preserving analysis of 1 million conversations on Claude.ai and 1 million API transcripts, we have four key findings: (1) Users increasingly entrust Claude with more autonomy, with directive task delegation rising from 27% to 39% in the past eight months. (2) Claude usage is geographically concentrated with high income countries overrepresented in global usage relative to their working age population. (3) Local economic considerations shape patterns of use both in terms of topic and in mode of collaboration with Claude. (4) API customers use Claude to automate tasks with greater specialization among use cases most amenable to programmatic access. To enable researchers and policymakers to further study the impact of AI on the economy, we additionally open-source the underlying data for this report.

Suggested Citation

  • Ruth Appel & Peter McCrory & Alex Tamkin & Miles McCain & Tyler Neylon & Michael Stern, 2025. "Anthropic Economic Index report: Uneven geographic and enterprise AI adoption," Papers 2511.15080, arXiv.org.
    • Handle: RePEc:arx:papers:2511.15080
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    Citations

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    Cited by:

    1. Mihai Codreanu & Alex Imas & Juan Mateos-Garcia & Joseph Emmens & Evalyne Muiruri & Arthur Turrell & Julian Jacobs & Atoosa Kasirzadeh & Ana Trisovic & Yiyuan Chen & Tanya Rodchenko & Catherine Pollar, 2026. "AI in Science: Early Insights," Papers 2609.28504, arXiv.org, revised Sep 2026.
    2. Zanna Iscenko & Scott Strand & Yiyuan Chen & Guillaume Aimard & Mihai Codreanu & Vivek Sampathkumar & Alex Imas & Julian Jacobs & Evalyne Muiruri & Juan Mateos-Garcia & Jia Jen Ng & Samirah Javed & Jo, 2026. "Google's AI & Economy ATLAS v1.0: Mapping Gemini Usage in the Economy," Papers 2608.00038, arXiv.org.
    3. Aaron Chatterji & David Holtz & Neel Rakholia & Prasanna Tambe & Gawesha Weeratunga, 2026. "How Organizations Use AI: Evidence from ChatGPT," Papers 2608.12236, arXiv.org.
    4. Michelle Yin & Burhan Ogut, 2026. "Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure," Papers 2605.21743, arXiv.org, revised May 2026.
    5. Scott Counts & Yan Chen & Jing Dong & Himanshu Sharma & Andrey Zaikin & Rui Hu & Alperen Kok & Gorkem Ozer Yilmaz & Siddharth Suri & Kiran Tomlinson & Sonia Jaffe & Will Wang, 2026. "AI in the Enterprise: How People Use M365 Copilot Chat," Papers 2605.23958, arXiv.org.
    6. Lambert, Peter John & Schindler, Yannick, 2026. "The Broken Ladder: AI, Remote Work, and Early-Career Hiring," The Warwick Economics Research Paper Series (TWERPS) 1615, University of Warwick, Department of Economics.
    7. John Conlon & Peter Schwardmann, 2026. "Creative destruction: Human-AI competition in an experimental market," Papers 2610.18921, arXiv.org.
    8. Philip Moreira Tomei & Bouke Klein Teeselink, 2026. "What Jobs Can AI Learn? Measuring Exposure by Reinforcement Learning," Papers 2605.02598, arXiv.org, revised Sep 2026.
    9. Burhan Ogut & Michelle Yin, 2026. "Partial Identification with Multiple Nonlinear Measurements of a Latent Regressor," Papers 2607.12219, arXiv.org.
    10. Etheridge, Ben & Bharier, David & Morais, Paulo, 2026. "AI adoption and workforce change in SMEs," ISER Working Paper Series 2026-01, Institute for Social and Economic Research.

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