The AI Pay Gap: A Widening Divide

The rapid growth of artificial intelligence has brought significant benefits to various industries. However, beneath the surface lies an unsettling trend: women are being left behind in AI-related roles.

According to recent data, women account for only 26% of hires into jobs requiring AI skills in the U.S., compared to 50% of hires into non-AI positions. This disparity is not solely due to a lack of skills or experience; it’s a result of systemic biases and self-selection that begin long before the hiring process.

Companies often define “AI talent” narrowly, which can lead to qualified candidates being excluded from consideration. Jacky Cook, founder and CEO of Momentum Group, notes that many women are already doing work that could be considered AI-related without realizing it. Redesigning workflows, analyzing data, or building products – these tasks are often done by women without them being recognized as “AI experts.”

This self-selection perpetuates a narrow definition of what constitutes AI talent and affects not only the applicant pool but also the way companies approach hiring. Employers who define “AI” narrowly may inadvertently exclude qualified candidates simply because they don’t fit their preconceived notion of an “AI expert.”

However, research suggests that women who use AI technology are indeed benefiting from it. A 2026 study by Gusto found that a significant majority (54%) of women who used AI to launch their business said the technology made the process easier compared to men (47%). This raises an intriguing question: why aren’t more women raising their hands and claiming AI expertise?

The issue goes beyond skills or lack thereof; it’s about creating an environment where women feel empowered to apply for AI-related roles. Deepika Sidana, a senior manager and enterprise AI leader, emphasizes that the problem is much bigger than just skills or experience.

The Missing Piece: Women in AI

To bridge this gap, companies need to rethink how they approach hiring and what they mean by “AI talent.” This requires recognizing the value of women’s work and creating an inclusive environment where women feel encouraged to apply for AI-related roles. Without more women in AI positions, there will be fewer role models and mentors to inspire others.

Addressing the Self-Selection Problem

One potential solution lies in redefining what constitutes AI expertise. By expanding the definition of AI talent, companies can create a more level playing field for candidates from diverse backgrounds. This could involve recognizing the value of transferable skills, such as data analysis or product design, and providing training programs to help women develop their AI skills.

The Long-Term Consequences

The consequences of this disparity are far-reaching. If we fail to address the underrepresentation of women in AI roles, we risk carrying today’s pay gap into the next generation of work. This not only affects individual women but also has broader implications for society as a whole.

The AI pay gap is not merely an issue of skill or experience; it’s a symptom of deeper systemic problems. To create a more inclusive and equitable environment in the world of AI, we must address these issues head-on and work towards creating a level playing field for women to succeed. As artificial intelligence continues to evolve at a rapid pace, ignoring this problem will only exacerbate it – with far-reaching consequences for individuals, companies, and society as a whole.