The future of work debate has an evidence problem

Frontier labs are examining the impact of technologies like Claude, Copilot, and ChatGPT in the workplace, highlighting the need for a comprehensive evidence base that goes beyond initial scores. The future of work debate centers around whether AI capabilities will advance, their economic implications, and the optimal policy responses, with the first question being the most evidenced. Policymakers are encouraged to consider AI exposure scores as one of many signals and to implement robust policies like worker protections and reskilling infrastructure. It's crucial for workers to be involved in shaping the future of work, using their firsthand experience to inform the process. Researchers should focus on developing measurement tools that evolve with AI capabilities and address the questions policymakers need to answer, treating workers as partners in research. The 80% exposure figure is a technical feasibility estimate, not a definitive forecast, and the future of work will be determined by collaborative decisions made by researchers, policymakers, and workers. The analysis emphasizes the importance of a solid evidence base for these decisions, urging readers to consult the full report for detailed insights and recommendations.