GITEX Africa in Marrakech, the continent’s largest tech summit, led me to not only observe the scale of innovation on display, but to question its practical implications. Across panels on AI, infrastructure and financial inclusion, there was a shared recognition that Africa is not short on ideas, talent, or even data. The real challenge lies in systems, design and implementation. 

One of the most compelling discussions focused on AI’s role in urban management. Speakers emphasized that building an AI-driven city is not something that happens overnight. It requires a gradual approach that works industry by industry and adapts to local institutional capacity. Tools like IntelliCity demonstrated how AI can help cities anticipate problems instead of reacting to them. By simulating traffic flows, anticipating flood risks from rainfall, and optimizing waste management, AI can directly address congestion, environmental stress, and service delivery gaps. However, this transition must be accompanied by robust sustainability evaluations and be done gradually, unfolding sector by sector and state by state.

This emphasis on making better use of what already exists was reinforced in conversations around geospatial intelligence. Platforms such as LGND’s Earth Search extend far beyond conventional mapping tools like Google Maps. They allow us to identify assets that are typically invisible in mainstream datasets, from solar panels and wind turbines to aquaculture sites and vulnerable electrification systems. The implication of this is significant. Africa already has access to rich, granular data. The issue is how to translate said data into decisions, policies and investments that maximize impact. 

The conversations around financial inclusion added another layer to these structural challenges. AI-driven credit systems and embedded finance hold clear potential to expand access, but they also risk reinforcing exclusion if poorly designed. A critical question raised during the summit was how to ensure that these systems genuinely broaden opportunity rather than replicate existing biases. The answer, repeatedly, came back to infrastructure and trust. Financial systems must be simple, accessible, and designed around the lived realities of underserved users and communities. Inclusion on paper is meaningless if the system itself remains inaccessible.

In this context, initiatives like Elevate by Ecobank illustrate what this can look like in practice. By focusing specifically on youth, women, and entrepreneurs, the program goes beyond broad commitments and instead creates targeted pathways into the financial system. What distinguishes meaningful from performative inclusion is precisely this level of intentional design, which leads to systems that people can actually use and trust in their daily lives. 

Overall, I left the summit thinking less about the potential of AI, and more about the conditions needed for such potential to be realized in a way that benefits us all. The technologies showcased are powerful, but their impact on Africa will depend on how well they are integrated into existing systems and whether they are designed with people and the environment at the center. AI can optimize grids, map ecosystems, and expand financial access, but only if it is embedded within institutions that prioritize trust, usability, and long-term capacity building.