The Remote Labor Index (RLI) aims to measure how effectively AI can automate remote work. Despite advancements in AI's reasoning and knowledge capabilities, translating these into real economic value remains a challenge. The RLI focuses on multi-sector projects, evaluating AI performance in practical settings, and reveals that current AI frameworks perform poorly, often failing to meet the quality expected in commissioned work. RLI includes various remote projects, such as game development and data analysis, with costs exceeding $10,000 and completion times over 100 hours. The data reflects over 6,000 hours of work valued at more than $140,000. While AI agents have excelled in other benchmarks, their automation rates on RLI projects are low, indicating that they struggle with complex tasks. Despite these low rates, the analysis suggests that AI models are gradually improving. Continuous monitoring and measurable progress provide a framework for stakeholders to understand AI's evolving impact on labor automation. For the latest performance metrics, interested parties can visit dashboard.safe.ai.