History often remembers the people who shape society’s response to change more than the people who create the change itself.
After the Second World War, Eleanor Roosevelt chaired the United Nations Commission on Human Rights as it developed the Universal Declaration of Human Rights. Adopted in 1948, the declaration became a foundational international framework for human dignity, freedom and human rights. Roosevelt’s enduring legacy was not an invention or a business empire. It was her role in helping to define principles that would influence generations.
Artificial intelligence is approaching a similar moment. Much of today’s discussion focuses on the technology companies building AI and the capabilities they are creating. I believe the more consequential question is who will shape the rules that govern it.
AI is not simply a technology challenge. It is a leadership challenge.
That is why the conversation about women in AI matters.
For years, discussions about women and technology have focused primarily on representation: attracting more women into STEM careers, increasing female participation in technical roles and closing long-standing gender gaps. These remain important objectives, but AI has fundamentally changed the context.
Unlike previous generations of technology that largely improved efficiency and productivity, AI is increasingly influencing how decisions are made, risks are assessed, talent is developed, customers are served and resources are allocated. As it becomes embedded in the operating fabric of organisations, the most consequential questions concern governance, accountability, trust, ethics and judgement.
The future of AI will not be determined solely by engineers, developers and data scientists. It will also be shaped by CEOs deciding how AI transforms their organisations, boards overseeing risk and accountability, policymakers balancing innovation with public interest, and regulators establishing appropriate guardrails.
While we undoubtedly need more women building AI, limiting the conversation to technical roles overlooks a far larger opportunity. As organisations determine how AI should be deployed, governed and trusted, the capabilities many women have spent decades developing become increasingly valuable: exercising judgement, managing risk, navigating complexity, building consensus and leading through uncertainty.
Organisations need leaders who can balance innovation with responsibility, opportunity with trust and automation with accountability. They need leaders who recognise that the ability to automate a decision does not remove the responsibility to understand its consequences.
For decades, many women built successful careers while being underrepresented in the rooms where critical decisions were made. In doing so, they developed the ability to influence outcomes, challenge assumptions and lead through change. Those experiences were not simply obstacles to overcome; they were preparation for a moment when judgement may prove as important as technology itself.
The opportunity before women today is therefore greater than representation alone. It is the opportunity to exert real influence over how AI is adopted, applied and governed.
The question is no longer whether women will participate in the AI economy. Women already are. The more important question is whether women will help define the frameworks, policies and decisions that govern it. The voices shaping those decisions will influence not only business performance, but also how societies respond to one of the most transformative technologies of our time.
Ultimately, the conversation about women in AI is not primarily about technology. It is about influence over the decisions that will shape how AI affects organisations, economies and society.
Just as Eleanor Roosevelt helped shape principles that continue to influence generations, today’s leaders have an opportunity to shape the principles that guide the age of AI. The question is not whether women belong in that conversation. The question is whether society can afford to make those decisions without them.
The future of AI will not be determined by algorithms alone. It will be determined by the leaders who govern them.