UCLA sociologist Jennie Brand: workers in AI-exposed, declining jobs often end up in other declining jobs

UCLA sociology professor Jennie Brand, who co-directs the Occupation Lab with Xi Song of Columbia, says workers in declining occupations tend to move into other declining occupations without improving their economic position, a pattern the researchers call a "mobility trap". In a UCLA newsroom Q&A published on 13 October 2026 she describes a Science Advances paper on that trap, and separate work in the American Economic Association's Papers and Proceedings on AI exposure. The team counts a job as AI-exposed if large language models and related software could cut the time needed for particular tasks by at least half while maintaining quality. Their preliminary list of highly exposed jobs includes payroll and bookkeeping clerks, medical transcriptionists and data-entry workers, and less than 1% of payroll and bookkeeping clerks in their LinkedIn data list a generative AI skill on their profiles. The interview also covers job churning, displacement and worker well-being. Brand says the policy and employer recommendations are motivated by the findings but have not been evaluated. This is a researcher's view of who is exposed, not a record of any employer cutting jobs because of AI.