ILO Report: Women Face Higher Workplace Risks from Generative AI Automation

The International Labour Organization (ILO) has published a comprehensive report analyzing the gendered impact of generative AI on global employment, concluding that women face significantly higher workplace risks from automation than their male counterparts. The study, released in early March 2026, finds that female workers are disproportionately concentrated in occupations and tasks most susceptible to AI-driven transformation.

Quality Over Quantity

Contrary to widespread fears of mass unemployment, the ILO report argues that generative AI's primary impact will be on job quality rather than total employment numbers. Rather than eliminating jobs outright, AI is more likely to transform the nature of existing roles — automating routine cognitive tasks while shifting worker responsibilities toward oversight, judgment, and interpersonal activities. However, this transformation carries its own risks: task degradation, deskilling, and the erosion of professional autonomy.

Who Is Most Affected

The research identifies several demographic factors that correlate with higher AI exposure. Occupations with the greatest susceptibility include computer programmers, financial analysts, administrative assistants, and legal researchers — roles where a significant portion of daily tasks involves information processing, pattern recognition, and content generation. Workers who are older, more educated, higher-paid, and female are statistically more likely to occupy these roles.

The Gender Dimension

The ILO report emphasizes that the intersection of AI automation with existing gender inequalities creates a compound risk for women in the workforce. Women are overrepresented in administrative, customer service, and content-related roles — precisely the categories where generative AI demonstrates the strongest substitution effect. The report warns that without deliberate policy intervention, AI adoption could entrench existing gender gaps in pay, seniority, and occupational segregation.

Policy Recommendations

The ILO report arrives at a critical juncture. With projections indicating that occupations with higher AI exposure will experience slower workforce growth through 2034, governments and employers face an urgent window to shape how AI transforms work. The report's central message is clear: the impact of generative AI on employment is not technologically determined — it is a policy choice.