Who's Building AI? Not Enough Women — And That's a Problem We All Own

Right now, only 26% of global AI professionals are women. Drop down to leadership roles, and that number falls to just 15%. In Australia, women make up 48% of the overall workforce — but only 29% of the tech workforce. And in Europe, women's representation in tech roles actually fell from 22% in 2023 to 19% in 2026. We are going backwards.

This isn't just a pipeline problem. It's a power problem.

The People Who Build AI Decide Whose Experience It Reflects

When women are absent from the rooms where AI systems are designed, trained, and deployed, the technology that gets built tends to reflect the experiences, assumptions, and blind spots of those who are present. Research shows that 44% of AI systems demonstrate gender bias — in hiring tools, credit scoring, healthcare diagnostics, and more. That's not a coincidence. It's a consequence.

AI that doesn't account for the full spectrum of human experience doesn't just fail women. It actively disadvantages them — often invisibly and at scale.

The On-Ramp Is Disappearing

For years, women were making slow but meaningful inroads into digital careers through entry-level roles in content, QA, administration, and junior design. But AI is automating those roles fastest. Graduate recruitment in tech fell 50% between 2019 and 2024. The very jobs that were the pathway in are the first ones being removed.

At the same time, the women who are in the workforce are adopting AI tools more slowly — not because they lack capability, but because they face more friction. A recent Lean In survey found women are 32% more likely than men to worry that using AI at work will be seen as "cheating", receive less encouragement from managers, and get less recognition when they do use it. The adoption gap is a culture gap.

Why This Matters Right Now

Workers with AI skills now command a 56% wage premium — up from 25% just a year ago. If women aren't building AI, aren't learning AI, and aren't being supported to use AI at work, they will be systematically excluded from the biggest productivity and wage gains of our generation.

The UN's International Labour Organization has warned that women face nearly double the AI displacement risk of men in high-income economies. We cannot afford to watch this unfold passively.

There Is Good News — But We Have to Choose It

Women's adoption of generative AI tripled between 2023 and 2025. The gender gap in AI skills has narrowed in 74 of 75 economies. The potential is there. What's needed now is deliberate action — organisations that actively sponsor women into AI roles, managers who encourage rather than penalise AI adoption, and leaders who understand that a workforce shaped only by one gender will build a future that serves only one gender.

Building better AI starts with building more inclusive teams. The window to get this right is now.

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