This Gender Lags Behind in AI Adoption
And it could mean a wage penalty
The potential impact of AI on the labor market is unmistakable. Whether this potential materializes has much to do with the rate at which the technology is being adopted. As we have recently shown, tech roles like Data Engineers and Database Administrators, as well as financial roles like Financial Consultants, are the most AI-exposed occupations. AI adoption is positively correlated with AI exposure, where exposure is measured as the share of activities in a job that can be done or aided by AI. Naturally, the more activities in an occupation can be done by AI, the more likely workers in that occupation are to adopt the technology.
When it comes to technology and gender disparities, we have previously shown that women are underrepresented in AI roles that are focused on developing the technology. But what about their representation in roles that are adopting the technology? We see that the disparity persists: Men are more likely to adopt AI at work than women.?
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Comparing adoption rates in general, men's rates of AI adoption are double those of women’s. The major driver for this trend are differences in occupational distributions among men and women. However, even after controlling for role and exposure, we find that women are less likely to adopt AI tools by 0.7 percentage points. That is, even when men and women are doing the same job with the same activities, women are adopting AI at a lower rate. While that may seem like a small difference, given the low baseline adoption rate, this actually amounts to a 20% difference in adoption rates between men and women.
Read the full story here.
Always a pleasure,
Lisa K. Simon | Chief Economist at Revelio Labs
This is an important topic to discuss. It's interesting to consider how the different adoption rates of AI might shape future workplace dynamics. What steps do you think can be taken to bridge that gap?
BoardHR Initiative Co-incorporator
1 个月Ben, Japanese audience would be interested in this theme. Let me share.