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In this new Brookings Hamilton Project analysis report, economist Jed Kolko argues that the biggest questions about AI and the labor market remain unanswered for three reasons: 1) early findings on labor demand are inconclusive in part because there are now numerous AI exposure and usage measures being used in AI research, and they do not fully agree on which occupations are most affected; 2) current findings are weak signals about the future given how recently LLMs entered widespread use; and 3) labor demand is only one slice of a much bigger picture that also includes productivity, labor supply, and transition dynamics, meaning how smooth or disruptive the workforce transition may be along the way. One caution for practitioners is Kolko’s warning about “streetlamp bias,” or the tendency to focus on what is easiest to measure rather than where the most important effects may actually be emerging. For HR leaders, the implication is to build workforce strategies that are grounded in the available evidence, flexible enough to adapt as the research matures, and be clear with stakeholders about what is known versus what remains uncertain. You can get more recent reports on the impact of AI on jobs, work, and the labor market here on my website.
