The artificial intelligence boom is minting a new class of well-compensated technical jobs, but women are capturing a shrinking share of them. Recent hiring data from LinkedIn shows women accounted for roughly a quarter of new AI hires over the past year, compared with half of hires in non-AI roles - and just 13% of AI executive positions. The pattern suggests that instead of flattening old hierarchies, AI is reproducing them at a faster pace.
A new economy, an old imbalance
AI roles now carry a substantial salary premium over comparable non-AI positions, according to LinkedIn's research. But the women who do work in AI are concentrated disproportionately in lower-paying functions, such as data annotation and support work, rather than engineering or leadership roles. The result, LinkedIn's Sarah Steinberg notes, is a median pay gap of roughly $45,000 between men and women across AI occupations - a gap driven as much by job type as by title or seniority. That distinction matters: closing a pay gap requires more than equal pay for equal roles if women are systematically funneled into the lowest-paying tier of the industry.
Why a "meritocratic" field isn't acting like one
AI's rapid emergence should, in theory, level the field - nobody has decades of experience with a model that didn't exist a year ago. In practice, hiring still runs through established networks and referrals, which tend to reproduce existing gender imbalances rather than correct them. Women already working in AI describe additional structural friction: thin mentorship pipelines, intense expectations around always-on availability, and career interruptions - such as parental leave - that collide badly with a field where tools and frameworks shift within months. Urvashi Batra, co-founder of an AI platform for IT providers, points to a more direct bias as well, saying investors respond differently depending on whether she or her male co-founder leads a pitch.
Diversity programs retreat as the stakes rise
Efforts to address gender gaps in tech have existed for years, with uneven results - women hold about a third of US tech jobs but leave the industry at higher rates than men, often citing exclusionary cultures and blocked advancement. That backdrop is now colliding with a political climate less tolerant of formal diversity initiatives. Federal scrutiny of corporate DEI programs, including settlements paid by several major companies, has made organizations more cautious about funding or publicizing women-focused efforts inside AI teams, according to advocates in the space.
- Women make up about a quarter of new AI hires, versus half of non-AI hires
- Only 13% of AI executive roles are held by women
- Median pay for men in AI occupations runs roughly $45,000 higher than for women
- Women are more concentrated in AI roles vulnerable to automation, such as customer service
What's at stake beyond individual careers
Advocates frame this less as a workplace fairness issue and more as a question of who shapes a technology now reordering the broader economy. If hiring and promotion patterns in AI continue on their current trajectory, the compounding effect - higher pay, more leadership influence, more control over how these systems are built - could produce a wider and more durable gender gap than previous tech cycles produced. As Felicia Newhouse of AI Powered Women put it, the deeper risk is that a participation gap hardens into a power gap, with consequences that outlast any single hiring cycle.