When 650 delegates convened in Nairobi this February, they were not there to argue about whether artificial intelligence could transform Africa. That debate has largely been settled. Instead, the Nairobi AI Forum 2026 tackled a more demanding challenge: how to deploy AI solutions at scale, in ways that are affordable, responsible and rooted in African realities.
Co-hosted by the governments of Kenya and Italy alongside the United Nations Development Programme, the invite-only gathering brought together policymakers, technologists and investors to address a deceptively simple question: what does it actually take to make AI work across the continent?
“The challenge is no longer whether Africa can innovate in AI, but whether the systems exist to scale that innovation responsibly and affordably,” said Dr Sarah Muthoni, Kenya’s Principal Secretary for ICT, in her opening remarks. Her framing set the tone. This was not another high-level conversation about AI’s global promise, but a working forum aimed squarely at removing the bottlenecks that have kept promising pilots from achieving meaningful reach.
Why Nairobi, why now?
Africa’s AI ecosystem has developed rapidly. Startup hubs from Lagos to Cape Town are producing solutions in fintech, agritech and health. Research communities are expanding. National AI strategies are emerging across the continent. Yet progress remains uneven.
Access to computing power, particularly the specialised GPU processors required to train and run advanced models, remains expensive and scarce. African startups often face costs significantly higher than their counterparts in the United States or Europe, driven by infrastructure constraints and currency volatility. Financing is fragmented, and many promising initiatives struggle to move beyond proof-of-concept.
The forum was designed to confront these structural barriers directly. Organisers emphasised the need for green, scalable and sovereign AI infrastructure, recognising that Africa’s AI future depends as much on energy systems, data architecture and skills development as it does on algorithms.
Hosting the event in Nairobi carried symbolic weight. Kenya has positioned itself as a regional digital hub, and the forum dovetailed with Italy’s broader African engagement under the Mattei Plan, which links technology cooperation to energy and development partnerships.
“We are not trying to replicate Silicon Valley in Africa,” said Dr Marco Alberti of Italy’s Ministry of Foreign Affairs. “We are asking how AI can solve uniquely African challenges, from smallholder farming to multilingual education, in ways that create sustainable value here.”
From rhetoric to resources
What distinguished the 2026 forum from many high-profile technology gatherings was its emphasis on named commitments and defined initiatives.
The most immediate announcement concerned access to compute. A total of 1.5 million GPU hours were allocated to 130 African innovators through partnerships with Italy’s Cineca supercomputing centre, complemented by cloud credits from global providers.
“Access to compute is one of the most binding constraints for African AI innovators,” said Abdoulaye Mar Dieye, UNDP’s Regional Director for Africa. “This initiative moves promising projects from potential to production.”
For founders such as Grace Wanjiku of Nairobi-based agritech startup CropSense, the implications are practical. Her company uses AI models to diagnose crop diseases from smartphone images. Previously, training new models required collaboration with European universities that had superior computing infrastructure. Local access, she said, allows her team to iterate faster and build capacity at home.
The scale of participation reflected the ambition. More than 700 registrations translated into 650 attendees and 65 speakers drawn from governments, startups, academia, private firms and development finance institutions across Africa, Europe and the G7.
A reality check
The discussions were grounded in a sober assessment of Africa’s starting point. The 2024 Government AI Readiness Index places Sub-Saharan Africa’s average score at 32.7, with Mauritius and South Africa significantly ahead of the regional mean. Infrastructure gaps remain stark, with double-digit percentages of the population still lacking mobile broadband coverage, particularly in rural areas where AI applications in agriculture and climate resilience could deliver outsized impact.
Against this backdrop, the forum steered away from frontier model development and instead focused on diffusion. The emphasis was on embedding AI into existing systems to improve food security, climate adaptation and education delivery, even where connectivity and power supply are unreliable.
Professor Ntemkogang Togou of the University of Cape Town argued that AI must be designed for the environments in which it will operate. That means voice-based systems for low-literacy users, local language models and energy-efficient computing suited to intermittent grids.
Examples discussed in Nairobi included crop advisory services delivered via SMS using satellite data, and educational chatbots accessible through basic mobile phones in local languages. These are applications designed for current realities rather than ideal conditions.
Six commitments, one test
At the forum’s conclusion, organisers outlined six initiatives intended to extend beyond the two-day event.
First, the compute access programme will distribute 1.5 million GPU hours to 130 innovators working in climate adaptation, agriculture, education and language technologies.
Second, the Harmonic Africa Startup Acceleration Programme will launch with an initial €50m investment envelope, alongside plans for an Italian-backed incubator in Africa and innovation corridors linking Nairobi with European technology hubs.
Third, the African Development Bank will enter a co-design phase for an AI financing framework targeting up to $10bn in phased investments. Forum documents suggest the ambition is to enable up to 45 million jobs by 2035 through infrastructure, entrepreneurship and skills development.
Fourth, a space-enabled AI initiative will support national-scale geospatial systems for crop mapping, yield forecasting and climate risk alerts.
Fifth, a cybersecurity readiness programme will embed secure-by-design practices into African AI ventures, addressing concerns that rapid adoption could create new vulnerabilities.
Finally, enhanced Kenya-Italy research cooperation will focus on talent development, seeking to close what many regard as the most significant long-term constraint on African AI growth: human capital.
Cautious optimism
Not all participants were convinced that these commitments will automatically translate into transformation. Some expressed concern, privately, about the persistent gap between conference pledges and implementation on the ground. Large-scale technology initiatives in Africa have often struggled with coordination challenges, regulatory complexity and currency risk.
The proposed $10bn financing framework, in particular, remains at an early stage, with timelines yet to be defined.
Organisers counter that this forum builds on existing institutions and partnerships rather than creating new structures from scratch. The compute initiative, for example, leverages Cineca’s established infrastructure, reducing execution risk.
Dr Bitange Ndemo, former Permanent Secretary in Kenya’s ICT ministry and now a professor at the University of Nairobi, offered a pragmatic benchmark. Within three years, he argued, African AI solutions incubated through these programmes should be operating at regional scale and delivering measurable impact in sectors such as agriculture, education or health.
Monitoring mechanisms, including annual reviews and public reporting on metrics such as startups supported and jobs created, are intended to provide accountability.
Beyond aspiration
Perhaps the most significant shift in Nairobi was conceptual. The conversation moved from how Africa might catch up in AI to how AI can advance Africa’s development priorities. In that framing, AI is treated as infrastructure, something to be financed, governed and deployed with the same seriousness as energy grids or transport networks.
In closing remarks, Kenya’s Cabinet Secretary for ICT, Joe Mucheru, stressed that Africa’s AI future will be built not by isolated pilots but by systems, technical, financial and human, capable of turning innovation into impact.
The Nairobi AI Forum 2026 will ultimately be judged not by its declarations but by delivery. Yet its central contribution may lie in reframing Africa not as a passive consumer of imported technology, but as an active architect of its own AI-enabled development. The months and years ahead will determine whether this practical turn marks a lasting shift from talk to tools.