Africa is Adopting AI. But who is shaping its future?

By Aashna Jain, Founder of AITHOS

Africa risks becoming a continent that uses artificial intelligence to solve problems without having enough influence over how the technology is built, whose needs it serves or who captures the value it creates.

We are already using AI tools developed elsewhere to improve businesses, support education and automate everyday tasks. This is progress, but adoption alone is not the same as ownership or influence.

With Africa’s young population, growing technology ecosystem and diverse markets, the continent has much to contribute to the global AI conversation. Yet if our startups rely entirely on technology designed around other markets, African languages, cultures and lived experiences risk remaining an afterthought.

The question is no longer whether Africa will use AI. It is whether African innovators will help shape what comes next.

For startups across the continent, this is both a challenge and an opportunity. We must move beyond asking how AI can make existing processes faster and start asking how it can solve problems that have been overlooked, misunderstood or poorly addressed.

The opportunity starts with local problems

Africa’s diversity presents a significant opportunity for AI innovation. From local-language education and agricultural advice to tools that help small businesses operate more efficiently, there are many problems that technology can help address.

According to the GSMA, Africa is home to more than 2,000 languages, yet only a fraction are supported in digital systems and AI models. This gap highlights an opportunity for startups that understand local languages, cultures and user needs.

Rather than copying solutions developed for other markets, African entrepreneurs can build products that respond to challenges they understand firsthand.

The goal should not be to introduce AI into every aspect of life. It should be to identify where the technology can make a meaningful difference.

Innovation is more than owning the technology

Startups do not necessarily need to build their own AI models to create valuable businesses. Using existing technology can be a practical and effective way to bring solutions to market.

What matters is the value they build around it. A startup’s advantage could come from understanding a particular industry, solving a specific problem, creating a better customer experience or developing products that fit local working practices.

However, relying too heavily on a single technology provider can create risks. Changes in pricing, access or service terms can affect a business’s ability to compete.

Founders should understand these dependencies and consider alternatives where practical. They must build businesses that offer clear value beyond access to the same AI tools available to competitors.

Trust must be part of the design

For AI to succeed, people need to trust the technology and understand its limitations.

AI systems do not always work equally well for everyone. Their performance can be affected by gaps in training data, language representation and the assumptions built into their design. Stanford University’s 2025 AI Index also highlighted persistent concerns about bias in leading AI models.

African startups must therefore involve users in product development, test solutions across relevant communities and languages, protect personal data and provide human oversight where decisions have significant consequences.

Responsible AI is not simply about avoiding harm. It is about building products that people can rely on. Trust should be a design priority, not an afterthought.

Building an ecosystem, not just individual startups

There are also structural barriers to overcome. Limited access to funding, computing infrastructure, specialised talent and relevant data can constrain innovation and make it harder for startups to scale.

Connectivity remains another challenge. The GSMA reported that 63% of Africa’s population was not using mobile internet in 2025, despite living within areas covered by mobile networks.

Startups cannot address these challenges alone. Collaboration between entrepreneurs, universities, investors, governments and established technology companies can help expand access to resources, strengthen skills and accelerate the development of relevant solutions.

Three priorities for Africa’s AI future

African founders can start by focusing on three things: solve clearly defined problems rather than follow technology trends; build lasting advantages through local knowledge, customer understanding and responsible data practices; and make trust central to how products are developed and deployed.

Africa does not need every startup to create a new AI model. It needs more entrepreneurs who understand where AI can make a difference and have the discipline to build solutions that work.

Our opportunity is not simply to participate in the AI revolution. It is to help shape its direction, ensuring that the technology reflects African needs, creates meaningful value and serves the people it is intended to benefit.