AI is reshaping every industry. The question is: who benefits, and who is left behind?
The AI equity gap is the widening disparity between those who shape AI systems and those who are shaped by them. It shows up in three dimensions:
1. The Workforce Gap
Women make up 47% of the overall US workforce but only 26% of computing roles and 15% of senior AI research positions. The gap is wider for women of colour.
2. The Data Gap
Training datasets systematically under-represent women, people of colour, non-English speakers, and people with disabilities — producing AI tools that perform worse for these groups.
3. The Access Gap
AI-powered tools are most available to those who already have stable internet, modern devices, and English proficiency. The communities most vulnerable to AI-driven displacement are often the least equipped to adapt.
What Closes It
No single intervention works. Progress requires investment in education pipelines, diversification of research teams, participatory design practices, and policy accountability. Women AI Labs works across all four dimensions.