Remote Labor Index: Measuring AI Automation of Remote Work
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Abstract (arXiv)
AIs have made rapid progress on research-oriented benchmarks of knowledge and reasoning, but it remains unclear how these gains translate into economic value and automation. To measure this, we introduce the Remote Labor Index (RLI), a broadly multi-sector benchmark comprising real-world, economically valuable projects designed to evaluate end-to-end agent performance in practical settings. AI agents perform near the floor on RLI, with the highest-performing agent achieving an automation rate of 2.5%. These results help ground discussions of AI automation in empirical evidence, setting a common basis for tracking AI impacts and enabling stakeholders to proactively navigate AI-driven labor automation.
Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 21 of its 34 references that are in the map. First posted on arXiv 30 Oct 2025.
Builds on
21 of 34 references.
References · 21
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- 2025RExBench: Can coding agents autonomously implement AI research extensions?cited by 17
- 2024Scenarios for the Transition to AGIcited by 13
- 2025The AI Productivity Index (APEX)cited by 9
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Citing papers per year: 2025: 3; 2026: 15.
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