AI & Employment
Five Research Briefs on AI and the Future of Work
This series consolidates current empirical evidence on AI's impact on employment for anyone seeking to understand how artificial intelligence is reshaping occupational demand, labor market pathways, and career planning. All findings are drawn from peer-reviewed and primary-source research. Begin with the Research Synthesis for the full evidentiary foundation, or go directly to whichever paper addresses your most pressing question.
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Research Synthesis: AI & The Future of Employment
A consolidation of evidence from five primary research sources into a cross-source analysis with citations. Start here for the full evidentiary picture.
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The Counterintuitive Truth
The rule that held for two generations — more education means more protection from automation — no longer applies. Three independent research programs converge on the same finding, with significant implications for workers, employers, and advisors alike.
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Exposure, Adoption, and Displacement
Three concepts routinely collapsed into one in public coverage of AI and jobs. Separating them is the difference between an accurate reading of the evidence and a reaction to headlines.
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Not One Story
AI is affecting occupations through three distinct pathways simultaneously — augmentation, task displacement, and occupational decline. Which pathway applies to a given occupation determines what the evidence actually means for the people in it.
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What AI Cannot Do
The EPOCH framework identifies five human capability domains AI cannot reliably replicate — and documents that occupations rich in those capabilities are growing faster, hiring more, and projecting better than those that are predominantly AI-substitutable.
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The Missing Rung
The labor market disruption from AI is not showing up in aggregate unemployment statistics. It is showing up in a quieter, more structural place — and understanding it matters for workers, employers, and anyone watching the labor market closely.