Lessons from past policies to support displaced workers in era of AI (equitablegrowth.org)

A recent paper examines the historical context of the Trade Adjustment Assistance (TAA) program, which was established over 60 years ago to support workers displaced by trade and globalization. The paper highlights that TAA fell short of its goals, often failing to reach those it intended to help, an outcome that policymakers should learn from as they consider responses to potential job losses driven by artificial intelligence (AI). With AI presenting both opportunities for economic growth and risks of significant displacement across various job sectors, it is crucial to develop effective policies that provide timely and appropriate support. The paper outlines several lessons for modern policymakers, emphasizing the need for proactive measures to mitigate displacement risks. Key recommendations include ensuring that policy solutions are scaled to match disruption severity, delivering assistance quickly, and empowering displaced workers to guide their own career transitions. Additionally, the authors stressed the importance of high-quality training programs, synchronized compensation efforts, enhanced data tools for understanding job market changes, and localized initiatives to address geographically dispersed dislocation. As the implications of AI on the labor market become clearer, learning from past policy failures is vital to crafting effective solutions for the future.