Anthropic Economic Index report: Uneven geographic and enterprise AI adoption
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Abstract (arXiv)
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.
Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Nov 2025.
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- 2026AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agentscited by 16
- 2026State of AI: An Empirical 100 Trillion Token Study with OpenRoutercited by 15
- 2026Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarioscited by 8
- 2026Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agentscited by 6
- 2026Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Datasetcited by 2
- 2026Synergy: A Next-Generation General-Purpose Agent for Open Agentic Webcited by 2
- 2026Are LLMs becoming similarly creative? Evidence from three years of modelscited by 2
- 2026MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosiscited by 1
- 2026Greater accessibility can amplify discrimination in generative AIcited by 1
- 2026Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprisecited by 1
- 2026BYOL: Bring Your Own Language Into LLMscited by 0
- 2026The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Eracited by 0
11 more
- 2026AI in the Enterprise: How People Use M365 Copilot Chatcited by 0
- 2026LLM Anonymization Against Agentic Re-Identificationcited by 0
- 2026The Jagged Global Economy: Frontier AI Unevenly Exposes National Economiescited by 0
- 2026Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agentscited by 0
- 2026Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflowscited by 0
- 2026SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chainscited by 0
- 2026Privacy-Preserving Data Drift Detection and Recovery for Large-Scale LLM Applications via Proxy Representationscited by 0
- 2026Position: AI Lock-In Is in Progress, and We Must Be Preparedcited by 0
- 2026ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledgecited by 0
- 2026Mapping U.S. Federal AI Governance Against Sector Vulnerabilitycited by 0
- 2026AI in Science: Early Insightscited by 0
- 2026Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise24 Sep 2026
- 2026AI in Science: Early Insights15 Sep 2026
- 2026Mapping U.S. Federal AI Governance Against Sector Vulnerability14 Sep 2026
- 2026ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledge11 Sep 2026
- 2026Are LLMs becoming similarly creative? Evidence from three years of models19 Aug 2026
- 2026Privacy-Preserving Data Drift Detection and Recovery for Large-Scale LLM Applications via Proxy Representations8 Aug 2026
- 2026SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chains7 Aug 2026
- 2026Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows6 Aug 2026
- 2026Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agents17 Jul 2026
- 2026The Jagged Global Economy: Frontier AI Unevenly Exposes National Economies8 Jun 2026
- 2026Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents3 Jun 2026
- 2026LLM Anonymization Against Agentic Re-Identification29 May 2026
11 more
- 2026Position: AI Lock-In Is in Progress, and We Must Be Prepared28 May 2026
- 2026AI in the Enterprise: How People Use M365 Copilot Chat11 May 2026
- 2026Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios10 Apr 2026
- 2026The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era8 Apr 2026
- 2026AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents3 Apr 2026
- 2026Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web30 Mar 2026
- 2026Greater accessibility can amplify discrimination in generative AI23 Mar 2026
- 2026Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset26 Feb 2026
- 2026MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis3 Feb 2026
- 2026BYOL: Bring Your Own Language Into LLMs15 Jan 2026
- 2026State of AI: An Empirical 100 Trillion Token Study with OpenRouter15 Jan 2026
- 2026AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agentscited by 16
- 2026Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agentscited by 6
- 2026Synergy: A Next-Generation General-Purpose Agent for Open Agentic Webcited by 2
- 2026Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprisecited by 1
- 2026LLM Anonymization Against Agentic Re-Identificationcited by 0
- 2026Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agentscited by 0
- 2026SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chainscited by 0
- 2026Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise24 Sep 2026
- 2026SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chains7 Aug 2026
- 2026Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agents17 Jul 2026
- 2026Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents3 Jun 2026
- 2026LLM Anonymization Against Agentic Re-Identification29 May 2026
- 2026AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents3 Apr 2026
- 2026Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web30 Mar 2026
- 2026State of AI: An Empirical 100 Trillion Token Study with OpenRoutercited by 15
- 2026Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Datasetcited by 2
- 2026Are LLMs becoming similarly creative? Evidence from three years of modelscited by 2
- 2026Greater accessibility can amplify discrimination in generative AIcited by 1
- 2026BYOL: Bring Your Own Language Into LLMscited by 0
- 2026The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Eracited by 0
- 2026AI in the Enterprise: How People Use M365 Copilot Chatcited by 0
- 2026The Jagged Global Economy: Frontier AI Unevenly Exposes National Economiescited by 0
- 2026Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflowscited by 0
- 2026Privacy-Preserving Data Drift Detection and Recovery for Large-Scale LLM Applications via Proxy Representationscited by 0
- 2026Position: AI Lock-In Is in Progress, and We Must Be Preparedcited by 0
- 2026ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledgecited by 0
12 most cited of 14 All 14 (JSON)
- 2026AI in Science: Early Insights15 Sep 2026
- 2026Mapping U.S. Federal AI Governance Against Sector Vulnerability14 Sep 2026
- 2026ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledge11 Sep 2026
- 2026Are LLMs becoming similarly creative? Evidence from three years of models19 Aug 2026
- 2026Privacy-Preserving Data Drift Detection and Recovery for Large-Scale LLM Applications via Proxy Representations8 Aug 2026
- 2026Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows6 Aug 2026
- 2026The Jagged Global Economy: Frontier AI Unevenly Exposes National Economies8 Jun 2026
- 2026Position: AI Lock-In Is in Progress, and We Must Be Prepared28 May 2026
- 2026AI in the Enterprise: How People Use M365 Copilot Chat11 May 2026
- 2026The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era8 Apr 2026
- 2026Greater accessibility can amplify discrimination in generative AI23 Mar 2026
- 2026Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset26 Feb 2026
12 newest of 14 All 14 (JSON)