Women account for 26% of hires for jobs requiring AI skills in the U.S. [1].
This disparity suggests that women are being left behind in the most lucrative sector of the current technology boom. As artificial intelligence becomes central to the global economy, the gap in hiring could solidify long-term wealth and power imbalances in the workforce.
Research conducted by LinkedIn shows a stark contrast between AI and traditional hiring patterns. While women make up roughly a quarter of AI-related hires, they comprise 50% of hires for non-AI positions [2]. This indicates that the growth of the AI job market is not benefiting women at the same rate as other professional roles.
The trend persists despite the rapid expansion of AI across various industries. These high-paying roles often offer significantly more compensation and career advancement opportunities than the non-AI roles where women are more evenly represented.
Industry analysts said the gap may stem from a combination of systemic hiring biases and pipeline gaps. These barriers prevent women from entering the specialized fields required for AI development and implementation, even as they maintain parity in other sectors of the economy.
LinkedIn and other reporting outlets have highlighted that this trend occurs during a period of intense investment in AI infrastructure. The lack of representation in these roles means women are less likely to influence the design and deployment of the technology that will shape future labor markets.
“Women account for 26% of hires for jobs requiring AI skills in the U.S.”
The disparity in AI hiring reflects a critical bottleneck in the transition to an AI-driven economy. Because AI roles typically command higher salaries and more strategic influence than generalist positions, a 24-percentage-point gap between AI and non-AI hiring suggests that the 'AI dividend' is being distributed unevenly. This creates a risk where the gender pay gap may widen not because of existing role disparities, but because of unequal access to the next generation of high-growth technical careers.
