The World Economic Forum and LinkedIn warn that artificial intelligence is set to widen gender gaps in the job market unless leaders act fast.
Story Highlights
- Women hold fewer AI-augmented roles and more at-risk roles, raising inequality concerns.
- Women made only 26% of United States AI hires in 2025, despite parity in non-AI hires.
- Global agencies say clerical and support jobs, where women cluster, face higher AI exposure.
- Experts call for targeted skills training and bias checks to avoid deeper divides.
Report Findings: Who Gains From AI, and Who Gets Hurt
World Economic Forum and LinkedIn researchers say artificial intelligence is boosting some jobs and disrupting others, and women are on the wrong side of that split. Their analysis finds women are more likely to work in roles that AI can replace or reshape, such as clerical and administrative work. At the same time, men are more likely to be in roles enhanced by AI tools that raise pay and productivity. This pattern risks deepening existing gaps if hiring and training do not change.
The report highlights a two-part problem. First, a higher share of women work in occupations that face heavy disruption from generative artificial intelligence. Second, women are underrepresented in jobs that use artificial intelligence to increase output and value. The authors point to the United States as an example, where they say the split between disruption and augmentation tracks along gender lines, reinforcing pay and promotion divides already in place before artificial intelligence surged.
Hiring Gap: AI Jobs Grow, Women Miss Out
LinkedIn’s new data shows the opportunity gap in simple terms: women filled just 26% of United States artificial intelligence hires in 2025, compared with 50% of hires for non-artificial intelligence roles that same year. The gulf is even wider in leadership. Across 27 countries, women hold only 13% of executive roles at artificial intelligence companies. Those numbers suggest the ladder into high-paying technical and leadership jobs is still out of reach for many women.
This hiring pattern mirrors earlier waves of automation. When new tools raise skill demands, workers who already have networks, mentors, and technical training move up faster. Workers outside those circles fall behind. The World Economic Forum notes that women are still a minority in many science and technology tracks, which limits access to the jobs that artificial intelligence is growing and improving. That pipeline problem is not new, but artificial intelligence speeds it up.
Exposure Risk: Female-Heavy Roles Face Faster Change
The International Labour Organization warns that female-dominated jobs are almost twice as likely to be exposed to generative artificial intelligence as male-dominated jobs. Many of these roles involve routine digital tasks, scheduling, document handling, and customer support. Generative artificial intelligence systems can already draft emails, process forms, and answer common questions, which lets firms redesign or reduce those positions. Without fresh training, many workers in these roles could see fewer hours or lower pay.
AI risks wider gender inequality in jobs market: WEF https://t.co/CgdFf9jU9H
— CTV News (@CTVNews) September 16, 2026
Global groups add that artificial intelligence tools can also copy human bias if not checked. That risk shows up in resume screening, promotion tracking, and performance review tools. Agencies advise companies to test models for bias, use clear audit trails, and align tools with civil rights and anti-discrimination laws. They also urge leaders to watch outcomes, not just code, since unfair effects can hide inside complex systems and datasets.
What Would Fix Look Like: Skills, Access, and Guardrails
Policy groups and researchers outline a practical playbook. They call for fast, low-cost training that helps workers use artificial intelligence on the job, not just in computer science class. They stress paid time to learn at work, since many people cannot train on their own time. They press for clear paths from clerical roles into data, quality, and operations jobs that artificial intelligence expands rather than replaces. And they recommend regular pay and promotion reviews to catch drift early.
These steps appeal across the aisle. Conservatives want a stronger, skilled workforce and less waste from failed programs. Liberals want fair access to growth sectors and guardrails against bias. Both sides are tired of talk without delivery. The reports suggest a way forward that relies on measurable results: track who gets trained, who uses artificial intelligence tools, who gets promoted, and what wages do month by month. Publish the results so the public can judge progress.
Why It Matters Now: Avoiding a Two-Tier AI Economy
Artificial intelligence is moving from pilot tests to daily work. If leaders ignore where disruption lands, many women could be stuck in shrinking roles while a smaller group, mostly men, climbs into the best artificial intelligence jobs. That two-tier path would strain families, fuel anger at elites, and widen the gap between the haves and the have-nots. The data is clear enough to act. The costs of delay will show up in paychecks and pink slips, not just in charts.
Sources:
insiderpaper.com, reports.weforum.org, aisberg.unibg.it, weforum.org
