AI Horizons: Africa

As artificial intelligence (AI) reshapes economic systems and governance structures worldwide, Africa stands at a pivotal inflection point, contending simultaneously with the promise of technological leapfrogging and the risk of deepening digital inequality. On April 17, 2026, against the backdrop of the World Bank Spring Meetings, Meridian International Center convened a roundtable discussion, AI Horizons: Africa.   The discussion brought together diplomats, tech sector leaders, diaspora entrepreneurs, multilateral institution representatives, and development professionals to examine African agency and impact on AI. 

Here were the top takeaways from the program:

1. African Agency and Ownership Must Be Built into AI Governance from the Outset 

A persistent theme throughout the roundtable was concern that Africa risks becoming a consumer of AI rather than a shaper of it. Participants noted that AI governance offices across the continent remain understaffed, national strategies are frequently funded by external actors—including foreign governments and major tech companies—and the African Union's (AU)’s continental framework lacks sufficient national-level implementation. Individuals called for the creation of an AU AI coordination office, stronger regulatory harmonization to reduce the compliance burden on startups operating across multiple jurisdictions, and deliberate investment in African-owned data infrastructure. As one participant stressed, ownership of tech stack components from the outset will determine the terms of governance and the terms of benefit. The roundtable also emphasized that sustainable AI ecosystems require co-financing models that bring African actors to the table as co-investors—not merely recipients—with regional integration offering a pathway to share capacity-building experiences across borders and build the circles of trust that AI can then help scale. 

2. Infrastructure Gaps Remain the Most Binding Constraint on AI Adoption 

Participants were united in identifying infrastructure as the most immediate bottleneck to realizing AI's promise across Africa. In 2024, the United Nations estimated that less than 40 percent of the continent was online, with rural internet access lower, and data center capacity remains concentrated in South Africa, Kenya, and Nigeria. In response, participants highlighted emerging solutions including small AI models optimized for edge computing and low-cost devices, portable compute infrastructure ("AI in a suitcase"), and the potential for banks and multilateral institutions to serve as intermediaries between global tech companies and local consumers, helping to navigate currency gaps and reduce costs to compete with cheaper alternatives. 

3. The Diaspora as a Strategic Asset for AI-Driven Development 

Across the roundtable, participants emphasized that the African diaspora is not a peripheral constituency but a core engine for AI-driven growth on the continent. Diaspora entrepreneurs bring a rare combination of technical expertise, international networks, and on-the-ground trust that neither foreign investors nor local actors can replicate alone. Speakers called on African governments to treat diaspora entrepreneurs as strategic allies rather than outliers, highlighting the Rwandan Government’s recent effort to map its diaspora. As one participant noted, the AU has recognized the diaspora as a sixth region, reflecting the diaspora’s outsized potential to unlock ownership, knowledge transfer, and investment at scale. 

4. Localization is Key to Sustainable AI Ecosystems 

Participants cautioned against deploying AI without a clear strategy, defined audience, or understanding of local conditions. For AI to deliver lasting value in Africa, it must be trained on African data, offered in local languages, priced in local currencies, and designed for the connectivity realities of 3G and 4G environments. Participants also called on international companies to pair market entry with genuine knowledge transfer to local firms.  

5. Data Availability, Quality, and Security Are Inseparable Challenges 

Participants drew a direct line between data and security. Accelerating the availability of digitized, localized, clean data is essential to building AI systems that work for African populations. However, digitizing data also creates opportunities for misuse and exploitation by malicious actors, particularly in environments where cybersecurity capacity may be limited. Speakers warned that we are already seeing an increase in AI-driven cybersecurity attacks; and without corresponding investments in digital literacy and cyber capacity, data abundance can become a vulnerability rather than an asset. 

Project summary

AI Horizons: Africa | April 2027
Impact Areas:	Science and Technology
Program Areas:	Technology, Innovation, & Space