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AI and worker well-being: Differential impacts across generational cohorts and genders
Citation. Nakavachara, V. (2026). AI and worker well-being: Differential impacts across generational cohorts and genders. Social Sciences & Humanities Open, 13, 102755. https://doi.org/10.1016/j.ssaho.2026.102755
Summary. Using 2022 OECD worker-survey data from seven countries, this cross-sectional study finds that workplace AI use is positively associated with respondents reporting improved mental health, job enjoyment, and physical health/safety. The associations differ across generational cohorts and gender, so the paper frames AI’s work-experience effects as uneven rather than uniform.
Key claims
- In controlled probit models, AI users were 10.9 percentage points more likely to report improved mental health, 18.3 points more likely to report improved job enjoyment, and 7.85 points more likely to report improved physical health/safety than non-users.
- Generation Y showed positive associations across all three outcomes, whereas Generation Z showed a consistent positive association only for job enjoyment and Baby Boomers had more limited associations.
- Women showed stronger reported mental-health gains while men showed greater reported physical-health gains in the gender-stratified analysis.
Evidence & limitations
- Secondary cross-sectional analysis of 2,917 workers in the OECD AI Surveys of Employers and Workers, collected in 2022 across seven OECD countries and limited to manufacturing and financial/insurance sectors.
- The outcomes are self-reported perceived improvements and the design estimates associations rather than causal effects; non-users answered company-level rather than personal AI-change questions.