AI exposure doesn't clearly target the worst jobs; working conditions explain only a small part of which occupations face automation, suggesting AI adoption is driven by other factors like skill requirements and economic value rather than worker relief.
This paper examines whether AI automation targets jobs that are dull, dirty, or dangerous—the traditional justification for automation. Using data from 754 US occupations, the author finds that higher AI exposure is weakly associated with worse working conditions, but this relationship largely disappears after accounting for education, wages, and physical demands.