AI & Gender Gap: Access, Representation and Trust at Risk

AI & Gender Gap: Access, Representation and Trust at Risk

New insights from McKinsey, Deloitte, Stanford, and others highlight a growing gender divide in AI — from lower encouragement and access to tools, to declining representation in tech roles and research, and a persistent trust gap in GenAI adoption. Without action, these trends risk widening existing inequalities and embedding bias into the systems shaping our future.

Only 21% of entry-level women report being encouraged by managers to use AI tools, compared with 33% of men. This gap risks widening inequality, particularly as 60% of women in senior roles report burnout vs. 50% of men. Read more

Women represent just 19% of core tech roles in Europe, down 3 percentage points year-on-year highlighting stalled progress amid broader DEI rollbacks. Read more

Only 14% of AI research papers have a female first author. Women hold 18% of ML roles and just 12% in cybersecurity, limiting influence over how AI systems are build. Read more

While adoption is rising, only 18% of women trust GenAI providers to keep data secure vs. 31% of men, signalling that inclusion must address both access and trust. Read more