# Anthropic Economic Index report: Uneven geographic and enterprise AI adoption

arXiv: https://arxiv.org/abs/2511.15080 · HTML: https://mlsanity.com/paper/2511.15080/

## Key facts

- Cited by 26 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Nov 2025.

## Built on by (most cited first, 26 of 26)

- [State of AI: An Empirical 100 Trillion Token Study with OpenRouter](https://mlsanity.com/paper/2601.10088/) (2026)
- [AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents](https://mlsanity.com/paper/2604.02947/) (2026)
- [Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios](https://mlsanity.com/paper/2604.09377/) (2026)
- [Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents](https://mlsanity.com/paper/2606.05391/) (2026)
- [Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset](https://mlsanity.com/paper/2602.23335/) (2026)
- [Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web](https://mlsanity.com/paper/2603.28428/) (2026)
- [Reflections and New Directions for Human-Centered Large Language Models](https://mlsanity.com/paper/2605.06901/) (2026)
- [AI in the Enterprise: How People Use M365 Copilot Chat](https://mlsanity.com/paper/2605.23958/) (2026)
- [Are LLMs becoming similarly creative? Evidence from three years of models](https://mlsanity.com/paper/2608.19437/) (2026)
- [MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis](https://mlsanity.com/paper/2602.03340/) (2026)
- [Greater accessibility can amplify discrimination in generative AI](https://mlsanity.com/paper/2603.22260/) (2026)
- [Crashing Waves vs. Rising Tides: Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks](https://mlsanity.com/paper/2604.01363/) (2026)
- [Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise](https://mlsanity.com/paper/2609.28919/) (2026)
- [BYOL: Bring Your Own Language Into LLMs](https://mlsanity.com/paper/2601.10804/) (2026)
- [The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era](https://mlsanity.com/paper/2604.06906/) (2026)
- [LLM Anonymization Against Agentic Re-Identification](https://mlsanity.com/paper/2605.30848/) (2026)
- [The Jagged Global Economy: Frontier AI Unevenly Exposes National Economies](https://mlsanity.com/paper/2607.05404/) (2026)
- [Beyond Sequential Interaction: Benchmarking Parallel Execution and Coordination for GUI Agents](https://mlsanity.com/paper/2607.22689/) (2026)
- [Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows](https://mlsanity.com/paper/2608.05602/) (2026)
- [SynChain: Inducing Computer-Use Agent Systems to Construct Their Own Attack Chains](https://mlsanity.com/paper/2608.06862/) (2026)
- [Privacy-Preserving Data Drift Detection and Recovery for Large-Scale LLM Applications via Proxy Representations](https://mlsanity.com/paper/2608.08245/) (2026)
- [Position: AI Lock-In Is in Progress, and We Must Be Prepared](https://mlsanity.com/paper/2608.14565/) (2026)
- [ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledge](https://mlsanity.com/paper/2609.12366/) (2026)
- [Mapping U.S. Federal AI Governance Against Sector Vulnerability](https://mlsanity.com/paper/2609.16260/) (2026)
- [AI in Science: Early Insights](https://mlsanity.com/paper/2609.28504/) (2026)
- [Right Order, Wrong Scale: Auditing LLM Judges for Occupational AI Measurement](https://mlsanity.com/paper/2610.02492/) (2026)

## 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.