Women Hold Just 26% of AI Jobs Despite 50% of Other Roles

Gender gap widens in AI hiring

Women are being significantly underrepresented in the rapidly expanding artificial intelligence job market, according to new research from LinkedIn. Female candidates account for just 26% of hires for positions requiring AI skills in the United States, a sharp contrast to the 50% of women hired into non-AI roles.

The findings, shared by Sarah Steinberg, head of global public policy partnerships at LinkedIn, highlight a troubling disparity as companies race to build AI capabilities and fill technical positions. The data suggests that while AI is creating substantial employment opportunities, the benefits are flowing disproportionately to male candidates.

Why it matters

AI roles command premium salaries and represent some of the fastest-growing career paths in technology. If women remain underrepresented in these positions, the gender pay gap could widen substantially, and the AI systems shaping our future will be built by less diverse teams. Research consistently shows that homogeneous development teams create products with built-in biases that can perpetuate discrimination at scale.

The scale of the disparity

The 24-percentage-point gap between AI and non-AI hiring represents a significant barrier to equal opportunity in one of the economy's most dynamic sectors. When women achieve parity in general hiring but fall to roughly one-quarter representation in AI-specific roles, it points to systemic issues in how candidates are recruited, evaluated, and selected for technical positions.

The research comes as organizations across industries invest heavily in artificial intelligence capabilities, from machine learning engineers to AI product managers and data scientists. These roles typically offer higher compensation than comparable non-AI positions, making the hiring gap particularly consequential for long-term economic equity.

Addressing the pipeline

The disparity likely stems from multiple factors, including fewer women in computer science and engineering programs, unconscious bias in hiring processes, and workplace cultures that may not retain female technical talent. Companies seeking to build robust AI teams will need to examine their recruiting practices, expand their candidate pipelines, and create inclusive environments that support women in technical roles.

The findings were first reported by CBS News in an interview with Steinberg, who discussed the research and its implications for the technology workforce.