This week, we're continuing our series on occupational feminization and exploring how AI could repeat this pattern in white-collar professions like law, technology, and communications. As AI reshapes the workplace, who gets to enjoy the financial benefits, and who's left doing the less desirable work?
Could AI Create a New Workplace Divide?
As artificial intelligence reshapes the workplace, there's growing concern that it could reinforce existing gender inequalities. And no, we're not just talking about robots stealing our jobs. AI could also change the responsibilities, compensation, and status associated with the jobs that remain.
Imagine a law firm where some employees oversee strategy and make high-level decisions, while others review and correct work produced by AI. Both groups technically work in the same profession, but their compensation and advancement opportunities could look very different.
If women become disproportionately concentrated in the lower-paid, less prestigious roles, we'd be seeing a familiar pattern repeat itself.
A Closer Look at Who's Doing the Work
According to a July 2026 New York Times analysis, roughly 85% of the more than half-million U.S. jobs added since January 2025 had gone to women. But there's more to these numbers than the high level summary.
Consider the breakdown of 2025 Bureau of Labor Statistics data where women make up 82% of paralegals and legal assistants, but only 43% of lawyers. In technology, women represent just 20% of software developers, compared with 51% of software quality assurance analysts and testers. AI didn't create these disparities, but it could deepen existing divisions between higher-paid strategic work and lower-paid supporting roles.
What the Research Shows
Research from the International Labour Organization found that female-dominated occupations worldwide are nearly twice as likely to be exposed to generative AI as male-dominated occupations (29% versus 16%).
Exposure doesn't necessarily mean job loss. AI could instead reshape jobs, leaving some workers responsible for reviewing and correcting automated output while others retain the higher-paying, strategic responsibilities. Sociologist Patricia Roos, whose research we explored last week, worries that this could accelerate occupational feminization in fields like law, journalism, advertising, and software development. If women become disproportionately concentrated in the lower-paid roles, existing gender pay and wealth gaps could widen.
Stating the obvious here, but technological progress doesn't usually translate into economic progress for workers. If companies are celebrating productivity gains, we should ask who gets to enjoy the financial rewards and what happens to the quality of jobs that remain.
Sources
In Trump's Economy, Job Gains Go to Women. That's Not an Entirely Good Thing. — Noam Scheiber, The New York Times Magazine, July 31, 2026.
Employed Persons by Detailed Occupation, Sex, Race, and Hispanic or Latino Ethnicity — U.S. Bureau of Labor Statistics, 2025 annual averages.
New ILO Data Confirm Women Face Higher Workplace Risks from Generative AI Than Men — International Labour Organization, March 2026.
Programmed Inequality: How Britain Discarded Women Technologists and Lost Its Edge in Computing — Mar Hicks, 2017.
Job Queues, Gender Queues: Explaining Women's Inroads Into Male Occupations — Barbara F. Reskin and Patricia A. Roos, 1990.
