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May 16, 2026AEA Papers and Proceedings

AI-Accelerated Occupational Decline and the Mobility Trap

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Authors

XSXi SongJBJennie E. BrandSYSukie Xiuqi Yang

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Overview

This analysis examines AI's role in worker mobility outcomes, indicating deeper challenges in declining jobs.

Key Points

  • This research investigates how AI-driven changes in occupations affect worker mobility and outcomes.
  • Utilized BLS administrative data and CPS worker transitions for analysis
  • Examined movement patterns of workers in high-AI-exposed occupations
  • Analyzed outcomes of occupational mobility post-2018
  • Workers in declining occupations are 5.2 times more likely to move to another declining job than a growing one
  • Approximately 70% experience downward or lateral mobility
  • Findings indicate AI restructuring deepens disadvantages for workers

Cite This Study

Song et al. (2026) studied this question.

synapsesocial.com/papers/6a0809bea487c87a6a40b85ehttps://doi.org/10.1257/pandp.20261004
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis2024 · 8 citations
  2. 2Trapped in declining occupations: Barriers to worker mobility in a changing economy2026 · 1 citations
  3. 3Artificial Intelligence and Workforce Transformation: An Analysis of Employment Disruption and Adaptation Strategies2025
  4. 4Multiple Impacts of Artificial Intelligence on Occupations and Labor Markets2024 · 7 citations
  5. 5Artificial intelligence and the changing architecture of work: skill adaptation, occupational restructuring and the distribution of labor-market opportunities2026