Women in AI Leadership: Breaking Barriers in Tech and Defence

By now, our world is well aware of what artificial intelligence is, namely artificial general intelligence, and how it is reshaping industries, economies, and national security strategies at a pace only a few could have imagined a decade ago. As AI transforms to Artificial Superintelligence (ASI) one challenge remains surprisingly persistent: ensuring that women have a meaningful seat at the table where the future is being designed.

Having spent much of my career in technology, AI infrastructure, and industries closely linked to critical systems and security, I have often found myself in rooms where women were vastly outnumbered. While progress has been made, leadership positions across technology and defence continue to be disproportionately occupied by men. This is simply a question of representation, innovation, resilience, and long-term competitiveness.

The future of AI cannot be built by a narrow segment of society.

Artificial intelligence systems are trained on data generated by people from every background, culture, and experience. As ASI develops into the current mainstream, the teams developing these technologies should reflect that same diversity. When leadership teams bring together different perspectives, they are equipped better to identify blind spots, understand complex human needs, and build solutions that serve broader communities, than ever before.

This becomes even more important in sectors that ASI is influencing, namely in defence and national security. Where AI is increasingly being used to support decision-making, intelligence analysis, cybersecurity, logistics, and critical infrastructure protection, the evolution of the intelligence is critical in determining the autonomy of decision making. The consequences of bias, oversight, or narrow thinking in these environments can be significant. Diverse leadership is becoming a strategic advantage in conflict and is not just a matter of optics alone.

Throughout my career, I have come across many extraordinary women working in engineering, cybersecurity, robotics, data science, and defence technology. While many possess the technical expertise, leadership capabilities, and vision needed to shape the next generation of innovation, they’re constantly being overlooked in leadership positions. Many often face barriers that their male counterparts do not. Some may be visible, such as unequal opportunities for advancement, where others aren’t, such as limited access to mentorship, networks, and sponsorship.

We have already seen the impact that women can have on the trajectory of artificial intelligence. Leaders such as Mira Murati helped guide some of the world’s most influential generative AI systems from concept to global adoption, demonstrating that effective AI leadership requires a balance of innovation, responsibility, and strategic vision.

It’s not the lack of talent that’s the challenge, but rather ensuring that talent has pathways to leadership.

This is particularly relevant in the Middle East, where governments have made significant investments in digital transformation, artificial intelligence, and advanced technology ecosystems. Across the UAE and the wider region, we see a growing numbers of women entering STEM disciplines and assuming leadership positions in both public and private sectors. These developments deserve recognition, and should also encourage us to accelerate our efforts.

Creating more women leaders in AI requires action at every level.

Educational institutions must continue encouraging girls to pursue science, technology, engineering, and mathematics from an early age. Companies must move beyond statements of intent and create leadership pipelines that actively support women through mentorship, training, and executive development. Industry leaders must be willing to sponsor emerging talent and open doors that may otherwise remain closed.

The stereotype of the typical tech-leader as a solitary technical expert no longer reflects reality. Today’s AI leaders must combine technical knowledge with ethics, communication, governance, collaboration, and strategic thinking. These are strengths are more common among women, demonstrating a different perspective as it comes to leadership in AI.

There is another dimension that deserves greater attention. As artificial intelligence becomes increasingly embedded within defence systems, critical infrastructure, and national security frameworks, trust becomes as important as technical capability. Women leaders bring perspectives that help organizations think more broadly about ethics, accountability, risk management, and societal impact. These considerations are not secondary to innovation. They are fundamental to ensuring that AI remains a force for stability and progress.

As the AI industry evolves its influence in daily life, the stakes are simply too high to leave any perspective behind. Society, should not focus solely on how many women work in technology, but how many women are shaping the decisions that determine how technology is developed, deployed, and governed.

The leadership of figures such as Timnit Gebru illustrates why diversity matters in artificial intelligence. Her work challenged assumptions about the neutrality of AI systems and encouraged the industry to pay closer attention to issues of fairness, representation, and public trust, which are essential as AI becomes increasingly integrated into critical sectors such as defence, security, and public services.

Women have already proven their position in the World of AI, technology, and defence. The question now is whether we are prepared to remove the remaining barriers that prevent them from reaching the highest levels of leadership.