AI adoption at work: Which worker and occupation groups are most likely to be affected?
Автор: IWH Research
Загружено: 2025-11-24
Просмотров: 170
Описание:
The rapid adoption of artificial intelligence (AI) within Canada’s labour market can drive innovation and raise productivity. But the benefits of AI may vary according to the characteristics of workers and their occupations. In the absence of direct measures, examining the impact of AI on work and workers can be challenging. In this presentation, Dr. Arif Jetha discusses the use of different measures of “AI exposure” as a tool to study the technology’s impact on different groups of workers, who vary according to gender and educational attainment. The study also describes differences in the impact of AI according to occupational differences including job skill requirements and job quality. Insights from this presentation can be used to direct research attention and strategic responses towards occupations and worker groups most likely to be affected by AI.
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0:00 - Introduction
2:49 - Topic of today’s presentation
5:01 - Background: AI at work
9:29 - Social determinants of health framework
12:57 - Analytical approach
15:55 - Study 1: Worker differences in occupational exposure to machine learning
22:10 - Study 2: Differences in occupational large language model exposure and precarious work
29:53 - Take away messages
33:01 - Q&A
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