Research Summary: When AI Enters the Workplace, Who Faces Greater Risks? A Gendered Analysis

Research indicates that artificial intelligence (AI) adoption in the workplace may exacerbate existing gender disparities within the labor market. The analysis, which links occupational characteristics to AI exposure, examines how AI-driven innovation differentially impacts male and female-dominated occupations across various skill and wage levels, raising concerns about potential amplification of inequalities through automation, unequal upskilling access, and varied returns from technological change.

Why it matters

The differential impact of AI on gender within the workforce is a critical strategic consideration, as it has the potential to reshape labor market dynamics and perpetuate or deepen existing inequalities. Understanding these gendered effects is vital for organizations and policymakers to proactively manage workforce transitions and ensure equitable outcomes from technological advancement.

Key insights

• Gender inequality is a persistent structural feature of the labor market, affecting women's earnings and economic security.
• Artificial intelligence (AI) is transforming organizational practices.
• There is a growing concern that AI's influence might unintentionally amplify existing disparities.
• Potential amplification mechanisms include task automation, unequal access to upskilling opportunities, and differential returns from technological change.
• The research examines how exposure to AI-driven innovation varies across male- and female-dominated occupations.
• Analysis includes differences across skill and wage distribution.
• A novel dataset linking occupational characteristics to AI exposure measures is utilized.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2609.21756