At the Women in Tech Global Summit, what stayed with me most was the energy in the room. There was a strong sense of confidence and ambition, especially from people across Africa, where conversations around entrepreneurship, leadership and innovation felt incredibly positive and future-focused.
One phrase from a keynote described the community as “beautifully plural”, and I thought that captured the atmosphere perfectly. Different experiences, leadership styles and perspectives were not treated as obstacles or differences to overcome, but as something valuable that strengthens innovation and leadership.
One statistic especially stood out to me: around 50% of business founders in Africa are women. In Europe, we still spend a lot of time talking about how to encourage more female entrepreneurship in the future, while in many African markets women are already building companies, creating jobs and shaping industries at scale.
What I found particularly interesting was how naturally these discussions connected back to AI. Conversations around education, leadership and opportunity all seemed to return to the same underlying question: as technology becomes more capable, what qualities become more important in people?
AI is changing where human value sits
Many conversations about AI focus heavily on the technology itself and on how quickly organisations can adopt new tools. At the summit, however, the discussion felt much more centred around people and how AI will change the way we learn, work and make decisions.
Several speakers described AI as an “always patient teacher”, capable of delivering personalised learning in someone’s own language and at their own pace. In many parts of the world, this could transform access to education in ways that traditional systems have struggled to achieve.
At the same time, as information becomes easier to access, human skills such as judgement, creativity, emotional intelligence and critical thinking become even more valuable. Knowing how to use AI is important, but knowing how to question it, challenge outputs and recognise limitations will matter just as much.
There was also an important discussion around digital sovereignty and representation. Today, many of the AI platforms shaping everyday life are concentrated within a relatively small number of global technology markets, which naturally raises questions around who builds these systems and whose perspectives are represented within them.
One point that particularly stayed with me was the idea that AI models should exist in the languages of the people whose problems they are designed to solve. Language is about far more than simple translation. It shapes culture, context and the way people understand the world around them.
Microsoft also made an interesting distinction between sovereignty and isolation, explaining that digital sovereignty should not mean disconnecting from the global ecosystem, but instead ensuring that countries and communities can actively participate in shaping their own digital future.
AI will amplify the culture around it
One of the most interesting sessions at the summit took the form of an Oxford-style debate exploring whether AI is weakening human capability or simply amplifying behaviours that already exist within society and organisations.
For me, the discussion reinforced the idea that AI tends to scale whatever culture already exists. If organisations operate with poor governance, bias or short-term thinking, those problems become amplified. But if organisations build around trust, inclusion and responsibility, AI can also help strengthen and scale those values.
The conversation around sponsorship versus mentorship also resonated strongly with the audience. Guidance and support are important, but visibility, advocacy and access to opportunities are equally critical when it comes to leadership progression and ensuring different voices are represented in decision-making.
This extends well beyond gender alone. As organisations continue navigating AI transformation, there is increasing value in environments where different perspectives and approaches to problem-solving are genuinely recognised and encouraged.
A Nelson Mandela quote referenced during the summit captured that responsibility beautifully:
“What counts in life is not the mere fact that we have lived. It is what difference we have made to the lives of others.”
At a time when AI is evolving rapidly, the conversation is moving beyond what these technologies can do and towards how organisations choose to implement them responsibly, inclusively and in ways that genuinely improve outcomes for people.
For businesses, long-term value from AI is unlikely to come from capability alone. It will come from how effectively organisations integrate these technologies into real environments, support people through change and build trust around how AI is used in practice.
The Women in Tech Global Summit may have focused on technology, but the lasting conversation was ultimately about people and the responsibility that comes with shaping the next phase of innovation.
Julia Mitterdorfer, Director DACH TD SYNNEX GCC
