Unequal access to artificial intelligence (AI) skills could quietly reshape leadership pipelines across financial services, narrowing them just as firms work to widen them.
Robert A. Brown
Director of Marketing and Membership, Financial Women’s Association
A mid-career finance professional recently shared that she was left out of a high-visibility artificial intelligence initiative at her firm. She had strong performance reviews, deep institutional knowledge, and years of experience. Yet, when the opportunity arose to help shape the company’s AI strategy, her name never came up.
In another case, a junior analyst who volunteered for an AI pilot project quickly gained direct exposure to senior leadership, accelerating his visibility and career trajectory in ways traditional performance metrics alone rarely achieve.
Stories like these are becoming more common as AI begins to influence who is seen as forward-thinking, strategic, and ready for greater responsibility.
The scale of change
The scale of change is hard to ignore. Financial institutions are expected to invest hundreds of billions of dollars in artificial intelligence and related technologies in the coming years. At the same time, Deloitte research suggests only about one-third of women report experimenting with generative AI tools, compared with nearly half of men. As involvement in AI initiatives increasingly signals leadership potential, gaps in access to learning new skills could have long-term consequences.
Representation challenges are already visible. Industry research indicates women make up less than 30% of the global AI workforce. If exposure to emerging technologies becomes a prerequisite for influence, leadership pipelines risk narrowing even as organizations work to strengthen diversity commitments.
Readiness lags ambition
Industry leaders are beginning to recognize the urgency. Conversations with executives at industry roundtables led by the Financial Women’s Association (FWA) indicate that workforce readiness is not keeping pace with AI ambition. Many institutions are still figuring out how to prepare employees for roles that now demand technological awareness alongside strategic judgment and adaptability.
As FWA president Albana Theka, a data and AI strategist, explains, “AI is not just changing how work gets done; it is redefining what leadership looks like. The most valuable leaders will combine technical fluency with judgment, ethics, and the ability to ask better questions.”
Closing the gap
Closing this gap will take more than statements of intent. It will require organizations to actively create opportunities for employees to build confidence with new technologies, gain exposure to transformation initiatives, and develop the judgment needed to lead through uncertainty. Access to data strategy, automation, and digital innovation should be treated as foundational leadership preparation rather than specialized experience.
AI will not simply change how finance operates. It is already reshaping how credibility is earned and how future leaders are identified. Organizations that broaden access to AI skills today will build stronger leadership pipelines and a more resilient industry tomorrow.
