The triple penalty: women and the AI jobs boom
LinkedIn's Economic Graph analysed AI roles across 27 countries and found women hold just 13.3 percent of C-suite AI positions and 22 percent of AI jobs overall, with the shortfall compounding at every level from entry-level hiring to the industry's highest-paying roles.
TL;DR
- LinkedIn's Economic Graph team analysed tens of millions of member profiles across 27 countries and found women hold just 13.3 percent of C-suite AI positions at AI companies, and make up only 22 percent of AI professionals overall.
- The shortfall compounds at every step of what LinkedIn calls a "triple penalty": roughly 15 percentage points fewer women in C-suite roles at AI firms than at comparable non-AI firms, 10 points fewer in AI roles than non-AI roles, and 5 points fewer at AI companies than elsewhere, after adjusting for country, role and company type.
- The pay stakes are large: AI job postings carry a median salary of $177,000, more than double the $80,000 median for non-AI roles, yet women captured only about a quarter of new AI hires in 2025, against half of non-AI hires.
LinkedIn's Economic Graph research, published this week under the title "The Triple Penalty: Mapping the Gender Gap in the AI Economy," puts a number on something that has mostly been argued anecdotally: women are not just underrepresented in AI, they are underrepresented in a way that stacks. Each layer of the AI economy, the function, the company, the seniority, subtracts a little more of them, and the layers do not offset each other. They compound.
The three penalties, stacked
| Triple Penalty analysis (LinkedIn Economic Graph, 27 countries) | Figure |
|---|---|
| Women in C-suite AI roles at AI companies | 13.3% |
| Women in director-level-or-higher roles, all companies | 38.5% |
| Women in comparable AI leadership roles | 31.2% |
| C-suite gap vs. non-AI firms (adjusted for country/role/company type) | -15.3 points |
| AI-role gap vs. non-AI roles (adjusted) | -9.7 points |
| AI-company gap vs. non-AI companies (adjusted) | -5.2 points |
| Women among all AI professionals globally | 22% |
| Women's share of new AI hires, 2025 | ~26% (vs. 50% of non-AI hires) |
| Median AI job posting salary vs. non-AI | $177,000 vs. $80,000 |
Read down that table and the story is not one gap but three, layered on top of each other. Women are underrepresented in AI as a function, at AI companies, and within AI leadership specifically. Each penalty is measurable on its own; together they explain why the C-suite figure, 13.3 percent, sits so far below the 38.5 percent women already hold in senior roles generally.
Where the gap narrows
The report's company-size breakdown is the more actionable finding. Women hold 11.8 percent of C-suite AI roles at smaller AI companies, but 21.6 percent at larger ones, nearly double. That split points to a structural cause: early-stage AI companies tend to run leaner, less formal hiring and promotion processes, while larger organisations are more likely to have the structured slates and succession pipelines that have moved representation elsewhere in tech.
The AI economy is repeating its access pattern at every level: fewer women in AI functions, fewer at AI companies, and far fewer in the AI C-suite, and the three gaps stack instead of cancelling out.
The pay dimension sharpens the stakes. A typical AI job posting now lists roughly $177,000 in annual compensation, more than double the $80,000 median for a non-AI posting. Women captured only about a quarter of new AI hires in 2025, against half of non-AI hires: the roles compounding fastest in value are the roles women are entering most slowly.
What this means for talent leaders
- Audit AI hiring and promotion funnels by company stage, not just by function; the 11.8-versus-21.6-percent split suggests early-stage AI teams need the process rigor larger firms already apply.
- Track the three penalty layers separately, AI-role entry, AI-company representation, AI-specific leadership, since a blended diversity metric will hide which layer is failing.
- Treat the pay gap as a leading indicator: every point of underrepresentation in new AI hiring compounds into a wider pay gap the longer the roles go unfilled by women.
- Build leadership pipelines into AI functions deliberately; the adjusted gaps here persist even after controlling for country, role and company type.
Related reading
- Millennials and Gen Z are landing fast-growing, high-paying AI jobs, according to LinkedIn study (CNBC)
- Hiring in the age of AI: the entry-level squeeze
Source: LinkedIn Says Women Hold Just 13 Percent of Top AI Roles. That's Becoming a Business Risk, Inc.