The AI Future Is Being Written in Geneva—East Africa's SMEs Must Help Write It
As dawn breaks over Kampala's Kikuubo business district, Sarah
unlocks the doors of her small wholesale shop. Before customers arrive, she
checks inventory, responds to supplier messages, and updates her sales records.
Across East Africa, millions of entrepreneurs like Sarah perform these daily
tasks that keep businesses running, families fed, and economies
growing.
Yet a technological revolution is unfolding that could
fundamentally reshape how these businesses compete, grow, and create jobs.
Artificial Intelligence (AI) is rapidly transforming how
businesses operate worldwide. From predicting customer demand and improving
logistics to automating administrative tasks and enhancing financial services,
AI is becoming a powerful tool for competitiveness and growth. The question is
whether East Africa's small and medium-sized enterprises (SMEs) will be active
participants in this transformation—or merely observers.
On 6–7 July, representatives from all 193 UN Member States and
stakeholders will gather in Geneva for the
inaugural Global Dialogue on AI Governance. Among the key discussion areas
are bridging AI divides, addressing capacity gaps, strengthening digital
infrastructure, expanding access to AI applications, and promoting open-source
software, open data, and open AI models.
For East African SMEs, these discussions are far from abstract
policy debates.
SMEs account for the overwhelming majority of businesses in East
Africa and provide employment for millions of people. They are the mechanics repairing
vehicles in Mbale, the agribusiness cooperatives serving farmers in Masaka and Mbarara,
the textile producers in Arusha, the fish processors in Mwanza and Kisumu, and
the digital startups emerging across the region. Their success directly affects
livelihoods, household incomes, and community resilience.
Yet many of these businesses face significant barriers to
benefiting from AI. Reliable internet remains uneven. Computing infrastructure
is expensive. Access to quality datasets is limited. Digital skills gaps
persist, particularly among rural enterprises, women entrepreneurs, and
youth-led businesses. Many SMEs lack the financial resources needed to
experiment with emerging technologies.
The scale of these barriers becomes clearer when viewed through
a continental lens. The African Union's Continental AI Strategy notes that
Africa accounts for only about 1% of
global AI computing capacity and roughly 3% of the world's AI talent pool. Meanwhile, more than 83% of AI startup funding on the continent is
concentrated in just four countries—Kenya, Nigeria, South Africa, and Egypt.
Without deliberate action, many East African enterprises risk being left behind
in the AI revolution.
At the same time, the opportunity is enormous. According to
recent United Nations Sustainable Development reporting, 4.4 million people gained access to digital
services and inclusive financial products through UN-supported programmes in
2024, while 27 countries
advanced digital transformation initiatives and 484 micro, small and medium-sized enterprises improved productivity through
technology adoption and workforce upskilling. These achievements
demonstrate that when digital investments reach communities and businesses,
tangible development gains follow.
These realities—and opportunities—should be central to the
discussions in Geneva.
East African SMEs should advocate for practical AI
capacity-building programmes that reach entrepreneurs where they are. This
includes affordable digital skills training, support for local innovation hubs,
improved broadband connectivity, and access to high-performance computing
resources that would otherwise remain beyond their reach.
They should also champion open-source AI models and open data
initiatives. For many small businesses, proprietary AI systems are simply too
expensive. Open and accessible tools can help level the playing field, enabling
local entrepreneurs to develop solutions tailored to East African languages,
markets, and development challenges.
Most importantly, SMEs should remind global policymakers that AI
governance is not merely about regulating technology; it is about expanding
opportunities for people and businesses.
When a farmer cooperative uses AI to anticipate drought conditions, productivity improves. When a small manufacturer reduces waste
through predictive analytics, jobs become more secure. When a woman entrepreneur
gains access to affordable AI-powered business tools, her enterprise can grow
and employ others.
As world leaders gather in Geneva, East Africa's SMEs cannot
afford to remain on the sidelines. Business associations, chambers of commerce,
innovation hubs, development partners, and governments should work together to
ensure that the realities and aspirations of small businesses are reflected in
global AI governance discussions.
The message from East Africa should be clear: invest in digital
infrastructure, expand affordable access to computing power, support
open-source AI, strengthen local AI talent, and create financing mechanisms
that enable SMEs to adopt and innovate with AI. The African Union has already
identified skills shortages, inadequate digital infrastructure, limited access
to quality datasets, and funding constraints as major barriers to inclusive AI
adoption. Unless these challenges are addressed, the benefits of AI will remain
concentrated among a few countries and large corporations rather than the
millions of small businesses that drive East Africa's economies.
The entrepreneurs opening their shops in Kampala, Kigali,
Nairobi, Dar es Salaam, Juba, Mogadishu, Kinshasa and Bujumbura every morning
may never set foot in Geneva. Yet the decisions made there will influence their
ability to compete, innovate, and create jobs in the years ahead. If AI
governance is to be truly global, the businesses employing millions across East
Africa must have a seat at the table. Their future—and East Africa's ability to
harness AI for inclusive growth, resilience, and prosperity—depends on it.

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