arXiv Notify me• Oct 30, 2025paper

Remote Labor Index: Measuring AI Automation of Remote Work

Alexandr Wang(guest)

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Executive Summary

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Bridging the Gap Between AI Hype and Reality The Challenge of End-to-End Automation

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Concerns Raised

Current AI capabilities are significantly overestimated for practical, end-to-end economic tasks.
The gap between AI performance on research benchmarks and real-world application is vast.
Discussions about mass AI-driven automation may be premature and lack empirical grounding.

Opportunities Identified

Utilize the Remote Labor Index (RLI) as a standardized tool to track real-world AI progress.
Focus AI development on improving end-to-end agent performance for practical workflows.
Shift business strategy from full automation to AI-assisted human augmentation for knowledge work.

Key Themes

Research Findings2

The highest-performing AI agent tested on the Remote Labor Index (RLI) benchmark achieved an automation rate of 2.5%.

The Remote Labor Index (RLI) is a multi-sector benchmark composed of real-world, economically valuable projects designed to evaluate the end-to-end performance of AI agents in practical settings.

Topics

Artificial Intelligence AI Agents Automation Labor Economics Future of Work Remote Work Knowledge Work AI Benchmarking Remote Labor Index (RLI)Economic Impact of AI Productivity AI Performance Measurement Generative AI Large Language Models (LLMs)AI Hype Cycle

Processed Jul 28, 2026Daily intelligence brief → yt-dlp + mlx-whisper + Gemini

Remote Labor Index: Measuring AI Automation of Remote Work

Continue your research

Concerns Raised

Opportunities Identified

Key Themes

Bridging the Gap Between AI Hype and Reality

The Challenge of End-to-End Automation

Establishing an Empirical Baseline for AI's Economic Impact

The Near-Term Future of Remote Knowledge Work

Research Findings2

Topics