Women in AI: The untapped talent pool shaping the future of technology

Women in AI: The untapped talent pool shaping the future of technology

Why organisations must unlock female AI talent to solve the global skills shortage

Women remain significantly underrepresented in AI — not because of a lack of capability, but because of systemic barriers across education, hiring, and career progression. For organisations across industries facing growing digital skills shortages, this represents one of the largest untapped talent pools available today.

Globally, women account for only around 22% of AI talent, and less than 14% of senior AI leadership roles, despite representing a much larger share of the broader talent pipeline. Women make up approximately 40% of computer science graduates and a third of researchers, highlighting a clear disconnect between potential and participation.¹

The AI skills gap is a global business challenge

Demand for AI, data, and digital skills is accelerating rapidly across every sector — from financial services and healthcare to retail, energy, and technology.

According to the World Economic Forum, 86% of organisations expect AI and related technologies to transform their business by 2030, while 63% cite skills shortages as the biggest barrier to transformation.²

At the same time, AI adoption continues to increase globally, intensifying competition for talent. Organisations are no longer competing within their own industries — they are competing across the entire economy for a limited pool of experienced AI professionals.³

The “leaky pipeline” is limiting growth

The challenge is not entry into STEM — it is retention and progression.

Women enter STEM and digital fields in meaningful numbers, yet drop off at higher rates during hiring, mid-career transitions, and leadership progression. Structural barriers such as rigid hiring criteria, lack of flexibility, and unclear progression pathways continue to filter talent out of the system.¹

This results in a significant loss of skilled professionals at exactly the point where organisations need experienced AI talent the most.

Why this matters for business performance

This is not just a diversity issue — it is a commercial and strategic priority.

AI is now central to growth, efficiency, and innovation. Organisations need professionals who can build scalable, secure, and high-performing systems. At the same time, diverse teams are proven to deliver better outcomes — improving decision-making, reducing bias in AI systems, and strengthening innovation.

Research from McKinsey & Company shows that companies with greater gender diversity in leadership are 25% more likely to outperform financially, reinforcing the business case for action.⁴

What leading organisations are doing differently

Forward-thinking organisations are rethinking how they attract and develop AI talent.

This includes:

• Skills-based hiring to widen access to talent

• Building alternative talent pipelines, including returnships and structured entry pathways

• Investing in reskilling and internal mobility

• Embedding flexible and inclusive job design

• Creating clear progression and leadership pathways

At Hire STEM Women, we work with organisations globally to unlock underutilised talent pools and build scalable, future-ready workforce strategies. This includes helping clients redesign hiring approaches, develop targeted talent pipelines, and create environments where diverse AI talent can thrive and progress.

Turning untapped talent into competitive advantage

The AI talent shortage cannot be solved through traditional recruitment alone.

Organisations need a broader, more strategic approach — one that combines hiring, training, and workforce design to unlock new sources of talent.

For organisations looking to scale AI capability, the opportunity is clear: the talent already exists — but only for those with the right strategy to access and develop it.

At Hire STEM Women, we partner with organisations to build sustainable AI talent pipelines, strengthen diversity in technology teams, and deliver long-term workforce transformation.

If you’re looking to strengthen your AI talent strategy and access untapped talent, get in touch with Hire STEM Women to start the conversation.

Sources

¹ UNESCO – Cracking the Code: Girls’ and Women’s Education in STEM
https://unesdoc.unesco.org/ark:/48223/pf0000253479

² World Economic Forum – Future of Jobs Report 2025
https://www.weforum.org/publications/the-future-of-jobs-report-2025/

³ OECD – AI Adoption and Skills Trends
https://www.oecd.org/en/topics/policy-issues/artificial-intelligence.html

⁴ McKinsey & Company – Diversity Wins: How Inclusion Matters
https://www.mckinsey.com/featured-insights/diversity-and-inclusion/diversity-wins-how-inclusion-matters