International Women’s Day is a moment to celebrate the achievements of women across industries while also reflecting on the work still needed to create truly inclusive sectors. In the rapidly evolving world of artificial intelligence, women in AI leadership are playing a critical role in shaping how technology is built, applied, and governed.
As organisations across the globe invest more heavily in data and AI capabilities, ensuring diverse perspectives are represented in the field has never been more important. Encouraging more women to enter and thrive in AI is not only about representation, but it is also about creating stronger innovation, more responsible technologies, and better outcomes for society.
The Gender Gap in AI Today
Despite the rapid growth of the AI industry, gender representation in the field remains significantly uneven.
Recent estimates suggest that women make up roughly 25–30% of the global AI workforce, highlighting a significant gender imbalance in one of the fastest-growing areas of technology.
The gap becomes even more pronounced in leadership roles. Studies show that fewer than 15% of senior AI leadership positions are held by women, meaning many decisions shaping the future of AI are still being made without diverse representation.
Adoption of AI tools also reflects this divide. Research analysing recent global studies found that 37% of women report using generative AI tools compared with around 50% of men, demonstrating an ongoing gap in access, confidence, and opportunity.
These figures underline a key challenge for the industry: as AI continues to transform the way organisations operate, ensuring more women are involved in building and shaping these technologies is essential.
For organisations investing in AI, diverse teams are not only more representative of the societies they serve, but they are also better equipped to identify bias, design inclusive systems, and create technologies that work for a wider range of users.
Artificial intelligence is now embedded across sectors, including healthcare, finance, retail, and public services. The teams developing these technologies play a critical role in shaping how AI systems interpret data, make decisions, and impact everyday life.
When development teams lack diversity, there is a greater risk that technologies reflect narrow perspectives or reinforce existing biases. Increasing participation from women and other underrepresented groups helps ensure AI systems are designed with broader societal needs in mind.
At the same time, the demand for data and AI skills continues to grow rapidly across the global workforce. Expanding pathways into these careers is essential not only for innovation, but also for addressing the widening AI talent gap facing organisations worldwide.
For many women considering a career in data or AI, the challenge is not a lack of opportunity, it’s knowing where to start.
The field is vast, covering everything from machine learning engineering and data science to AI governance, analytics, and strategy. With new tools and technologies emerging constantly, entering the industry can sometimes feel overwhelming.
Yet many professionals working in the field share a common perspective: progress often begins with curiosity and experimentation rather than waiting until you feel completely ready.
This idea reflects a broader theme of give to gain. By investing time in learning new skills, exploring emerging technologies, and stepping into opportunities that stretch your experience, you gradually build the knowledge and confidence needed to grow in the field.
At Cambridge Spark, we regularly bring together professionals from across the data and AI community to share their experiences and insights. During a recent discussion, we asked a simple question:
What advice would you give someone considering a career in data or AI today?
Hannah Glasspool, Director - AI Enabled Programme Manager, UBS, encouraged aspiring professionals not to hold themselves back from opportunities simply because they don’t feel fully prepared:
“Don’t wait to be ready when new opportunities arise. Women often feel they need to meet 100% of the criteria before applying — but sometimes the areas where you’re not yet experienced are exactly where you’ll grow the most.”
Emma Bastin, Clinical Trial Data Scientist, Boots UK, highlighted how broad the field has become and why identifying what excites you is key:
“Data is huge. It touches almost every possible career path. The key is understanding what aspect of it really attracts you and exploring opportunities in that space”
Katrina Young, Member of City of London Corporation’s Women Pivoting to Digital Taskforce, emphasised the importance of creating a clear roadmap when navigating such a fast-moving industry:
“Data and AI are incredibly broad, so it’s important to build a roadmap. Start by focusing on a few key areas and expand from there.”
Rachel Helsby, Data Mentor at Cambridge Spark, offered a perspective on the learning journey itself — and why confidence plays such an important role:
“Data science is like arriving in a new city. At first, it can feel overwhelming, as if you need to know every street and building to find your way around. But you don’t. You only need to learn a few roads (theories) and recognise a few buildings (models). Over time, you start to see how they connect.”
As artificial intelligence continues to transform industries, empowering more women to enter and lead in the field will be critical to building technologies that are inclusive, responsible, and representative of the communities they serve.
International Women’s Week is not only a time to celebrate the achievements of women already shaping the AI landscape — it is also an opportunity to encourage the next generation of talent to step forward.
Because the future of AI will be stronger when more perspectives are involved in building it.
For those looking to take the next step into data and AI, exploring structured learning opportunities can be a powerful way to build confidence and practical skills. Cambridge Spark’s programmes are designed to support professionals at every stage of their journey, helping individuals develop the knowledge and experience needed to thrive in the rapidly evolving world of AI.