Women in Tech Statistics

Then it is not a participation gap, or invisible women, or a

“Where are the women” question

but

a redesigned world

AI is now in infrastructure, economies, governance, culture and, decision-making. When half the population is underrepresented in building or confidently using these systems, the consequences are structural.

Women represent 22–30% of the AI-related workforce!

Study more here.

The adoption gap includes issues of trust, ethical concerns, and confidence. Women report higher hesitation around AI’s ethical implications. Could be interpreted as critical awareness if a perspective have been missed in the system design.

Find out more about adoption here.