Who will be the workers most affected by AI?: A closer look at the impact of AI on women, low-skilled workers and other groups

Marguerita Lane

No 26, OECD Artificial Intelligence Papers from OECD Publishing

Abstract: This paper examines how different socio-demographic groups experience AI at work. As AI can automate non-routine, cognitive tasks, tertiary-educated workers in “white-collar” occupations will likely face disruption, even if empirical analysis does not suggest that overall employment levels have fallen due to AI, even in “white-collar” occupations. The main risk for those without tertiary education, female and older workers is that they lose out due to lower access to AI-related employment opportunities and to productivity-enhancing AI tools in the workplace. By identifying the main risks and opportunities associated with different socio-demographic groups, the ultimate aim is to allow policy makers to target supports and to capture the benefits of AI (increased productivity and economic growth) without increasing inequalities and societal resistance to technological progress.

Keywords: Artificial Intelligence; Education; Employment; Gender; Inequality (search for similar items in EconPapers)
JEL-codes: J16 J21 J23 J24 O33 (search for similar items in EconPapers)
Date: 2024-10-31
New Economics Papers: this item is included in nep-ain and nep-lma
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Persistent link: https://EconPapers.repec.org/RePEc:oec:comaaa:26-en

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