By Kehinde Ogundare, country head, Zoho Nigeria
Ask a tech entrepreneur in San Francisco what AI means for their business, and they are likely to talk about competitive advantage, product differentiation, and scale. Ask a small business owner in Kano or Onitsha the same question, and the conversation shifts entirely.
For many Nigerian SMEs, the priority is keeping the lights on, managing costs, and finding sustainable ways to grow in a challenging economic environment. This difference in perspective explains why the global AI conversation, often shaped by assumptions about stable infrastructure, deep capital, and abundant technical talent, frequently fails to address the realities facing Nigerian SMEs.
This matters because Nigerian SMEs are not a peripheral concern. In 2024 alone, MSMEs contributed 46.32% to Nigeria’s GDP, accounting for 96.9% of businesses and 87.9% of employment. These businesses are the backbone of the Nigerian economy, and if AI is going to mean anything for Nigeria’s development, it has to work for them in the daily conditions they actually operate in.
However, research drawing on empirical data from 144 Nigerian SMEs found that inadequate infrastructure, low digital literacy, skills shortages, and regulatory gaps are collectively preventing them from meaningfully engaging with AI. Awareness of AI is high and growing. What is missing is a clear and honest conversation about what adoption actually requires in this specific context. The barriers are real, but none of them are insurmountable. The question is whether the tools, pricing models, and support structures being offered to Nigerian SMEs are designed with those barriers in mind, or whether they have been built for another market entirely.
Subscription models making AI affordable for small businesses
When most small business owners hear “AI,” they imagine expensive software, specialist consultants, and a hefty upfront bill.
That assumption is not entirely wrong, but it describes a particular way of buying technology, not AI itself. The shift that makes AI genuinely accessible at the SME level is the move away from large, one-time capital purchases towards tools that charge a predictable monthly subscription. Businesses can pay for what they use, scale back when necessary, and avoid the debt that a major technology investment can create.
The deeper opportunity here is consolidation. Many SMEs are already spending money across multiple disconnected tools—one for invoicing, another for customer records, another for stock tracking—none of which talk to each other. An integrated platform that handles several of these functions together, with AI built in, can actually cost less than the sum of those separate subscriptions while giving business owners a clearer picture of their operations.
With margins already under pressure, any technology a business adopts needs to, visibly, show increase in productivity or bottom line. Subscription-based, integrated platforms, priced transparently and honestly, are the model that best fits this reality.
Infrastructure challenges demand a mobile-first approach
No conversation about technology in Nigeria is complete without confronting the infrastructure problem, and AI is no exception. Nigeria continues to face major infrastructure barriers, including limited broadband access, unreliable power supply, and high data costs, all of which constrain deeper AI adoption. These are structural features of the operating environment that any sensible technology strategy must account for today.
The electricity situation alone is significant. The World Bank estimates that the lack of stable electricity costs Nigeria’s economy approximately $26.2 billion annually, equivalent to about 2% of GDP, forcing many businesses to run on expensive diesel generators. That cost ripples outward.
In practical terms, AI tools built for Nigeria cannot assume a stable broadband connection or a computer that is always powered on. The tools that will actually get used are the ones that work on a smartphone, consume minimal data, and can function offline when connectivity drops, syncing back up when it returns. The mobile phone is already how many Nigerian SME owners run their businesses. AI that meets them there, rather than demanding infrastructure they do not have, is AI that has a genuine future in this market.
The direction is clear: build capability from within, using tools that make that possible. Recent AI performance research reveals that 64% of African workers are already actively using AI at work, signaling massive grassroots readiness and driving forward-thinking organizations across Nigeria, Kenya, and South Africa to aggressively prioritize internal upskilling frameworks to bridge the talent gap.
As the policy groundwork is being laid, the commercial ecosystem is beginning to respond. What remains is a clear-eyed acceptance that AI tools built for this market need to look different from those built for markets with different realities. Low cost, low bandwidth, and usability for non-technical people are not modest ambitions; they are the actual requirements. Build for those realities, and AI has a real future in Nigeria’s SME economy.
