2 Sources
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Women are missing out on the AI jobs boom
Why it matters: These jobs are some of the fastest-growing and highest-paying in the country right now -- at a time when the overall labor market is pretty sluggish -- and the report shows women are getting left behind. By the numbers: Men landed 74%, and women 26%, of the new hires for AI roles in 2025. * The highest-paying roles typically have higher percentages of men. * To get hiring information, the platform looked at user, or member, profiles. For data on compensation it analyzed job listings. Zoom in: An increasingly popular job is called "member of technical staff," a technical role common in AI labs that often sits at the intersection of advanced research and full-stack engineering. * 82% of new hires to these roles went to men in 2025. And this year, median listed pay is $223,000. * The data annotator job, meanwhile, with a median pay of $51,000, is roughly split 50/50 between men and women. Between the lines: The data confirms what our eyes have been telling us all along. Most of the public faces of the AI buildout have been men. Yes, but: The AI sector might make up a huge and growing part of the economy, but the jobs themselves are just a small sliver of the labor market. The bottom line: Women have long been underrepresented in the tech industry, particularly in leadership and technical roles. The AI boom is widening the divide.
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LinkedIn Says Women Hold Just 13 Percent of Top AI Roles. That's Becoming a Business Risk
Artificial intelligence is reshaping nearly every corner of the workplace. Companies are experimenting with tools like ChatGPT, Claude, Copilot, Gemini, Perplexity, and others. Leaders are trying to understand which jobs AI will change, which skills employees will need, and where the technology can create new efficiencies. But while we spend so much time debating what AI can do, there's another question that many business leaders are ignoring. Who gets to decide what AI could or should do? LinkedIn's new "Triple Penalty" report suggests there is a significant gap in who is getting that opportunity. The company looked at 27 countries and found that women hold just 13 percent of executive AI roles at AI companies. Furthermore, the report showed that women make up only 20 percent of "head of AI" hires and 26 percent of "director of AI" hires. This gender gap extends far beyond senior-level roles. Women made up just 26 percent of new AI hires in 2025, a disparity that begins early and steepens at every stage of the career ladder. At AI companies specifically, women hold 29 percent of entry-level positions, but that representation thins to only 21 percent at the vice president level and collapses to just 13 percent in the C-suite. "The steepest drop-off happens at the final step into the C-suite," said Sarah Steinberg, LinkedIn's head of global public policy partnerships. "But focusing only on that last rung misses the larger problem. Women are underrepresented before they even get on the AI ladder. This is not only a promotion problem at the top. It is a hiring, training, advancement, and leadership pipeline problem from the very beginning." If companies wait until they're choosing their next generation of AI executives to think about representation, they're already too late.
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New LinkedIn data exposes a stark gender gap in AI: women secured just 26% of AI jobs in 2025 and hold only 13% of executive AI roles across 27 countries. The disparity worsens at higher pay grades, with men claiming 82% of member of technical staff positions paying $223,000 median salary. This widening divide in AI employment represents both a talent crisis and a business risk as companies build the future of artificial intelligence.
The gender gap in AI has reached alarming proportions, with women securing only 26% of new AI jobs in 2025 while men captured 74%, according to LinkedIn's latest "Triple Penalty" report.
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This disparity becomes even more pronounced in AI leadership roles, where women hold just 13% of executive positions at AI companies across 27 countries studied.2
The underrepresentation in AI extends throughout the career pipeline: women occupy 29% of entry-level positions at AI companies, but that representation shrinks to 21% at the vice president level and collapses to merely 13% in the C-suite.2

Source: Inc.
The gender disparities in tech become particularly stark when examining compensation levels in AI job hiring. Men secured 82% of new hires for "member of technical staff" positions in 2025, roles that sit at the intersection of advanced research and full-stack engineering with a median listed pay of $223,000.
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Meanwhile, data annotators positions with median pay of $51,000 show roughly equal gender distribution at 50/50.1
Women represent only 20% of "head of AI" hires and 26% of "director of AI" hires, revealing systemic issues throughout AI leadership roles.2
These AI jobs represent some of the fastest-growing and highest-paying positions in the country at a time when the overall labor market remains sluggish.1

Source: Axios
Sarah Steinberg, LinkedIn's head of global public policy partnerships, emphasized that the problem extends far beyond executive promotion: "The steepest drop-off happens at the final step into the C-suite. But focusing only on that last rung misses the larger problem. Women are underrepresented before they even get on the AI ladder. This is not only a promotion problem at the top. It is a hiring, training, advancement, and leadership pipeline problem from the very beginning."
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The career pipeline issue raises a critical question about AI innovation: who gets to decide what AI could or should do? With artificial intelligence reshaping nearly every corner of the workplace through tools like ChatGPT, Claude, Copilot, Gemini, and Perplexity, the lack of diverse perspectives in building these systems represents a significant business risk.2
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The data confirms that most public faces of the AI buildout have been men, continuing long-standing patterns where women have been underrepresented in the tech industry, particularly in technical roles.
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The AI boom is actively widening the divide rather than closing it, creating talent shortages that could limit innovation.1
While the AI sector makes up a huge and growing part of the economy, the jobs themselves represent just a small sliver of the labor market, making early intervention critical.1
Companies that wait until selecting their next generation of AI executives to address representation will find themselves already too late to build an inclusive foundation for AI development.2
The implications extend beyond fairness: homogeneous teams building AI systems that will shape society risk creating technology that fails to serve diverse populations effectively.Summarized by
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