K'ONYANGO: Africa can harness China’s DeepSeek to leapfrog into AI future

Colleagues use AI in the workplace /AI ILLUSTRATION

The recent release of DeepSeek, an open-source large language model developed in China, has sparked global interest not just for its technological sophistication, but also for what it represents: the accelerating democratisation of Artificial Intelligence.

For Africa, a continent often seen as a late adopter in the tech space, DeepSeek and its peers offer a unique window to leapfrog into the AI era not as passive consumers, but as active developers and shapers of this transformative technology.

DeepSeek, a LLM, stands out for its bilingual training in both English and Chinese, its open-source availability and its performance, which rivals that of more established Western models.

Whilst Africa has often lagged behind in access to high-end proprietary tools like OpenAI’s GPT or Google’s Gemini, the open-source nature of DeepSeek signals a game-changing shift.

It allows local developers, universities, start-ups and governments to tailor AI tools to African contexts linguistically, culturally and economically.

One of Africa’s most pressing challenges in the AI space is linguistic diversity. With more than 2,000 languages spoken across the continent, mainstream LLMs trained primarily in English and other European languages offer limited utility in many African settings.

DeepSeek’s bilingual foundation demonstrates that large-scale multilingual training is feasible and scalable.

If African researchers and technologists embrace open-source models such as DeepSeek, they can fine-tune these models using local languages such as Kiswahili, Yoruba, Amharic, or Zulu.

This would significantly expand access to AI-powered services – from healthcare chatbots and legal assistance to education and agricultural advice – in rural and underserved communities.

The future of African AI lies not just in translating global tools, but in localising them to reflect the continent’s unique realities. Open-source models give Africans the flexibility to do just that.

Open-source AI levels the playing field for African start-ups, many of which operate on razor-thin margins.

Instead of relying on expensive APIs from Silicon Valley giants, developers can deploy and customise LLMs like DeepSeek locally, saving costs and building competitive, locally relevant applications.

Consider a Nairobi-based fintech start-up that wants to build a customer service chatbot trained on Kenyan financial regulations and local dialects. With access to DeepSeek, it can fine-tune the model without starting from scratch — enabling faster development, lower costs and better user alignment.

Governments and development partners should prioritise funding for AI hubs and innovation labs across Africa to train young talent on using and customising these tools. Just as mobile money reshaped the continent’s financial landscape, open-source AI can ignite a wave of bottom-up innovation – if the ecosystem is supported.

A growing concern among African policymakers is data sovereignty – the right to control the data generated by and for African citizens.

When African data is funnelled into foreign tech platforms with little oversight, it risks exploitation, bias, or even digital neo-colonialism.

Open-source AI models, such as DeepSeek, allow African countries to retain greater control over their data pipelines. Governments and institutions can host models on their own infrastructure, ensure ethical data sourcing and align AI development with local laws and values.

Moreover, this approach lays the foundation for responsible AI that reflects African priorities – whether in healthcare diagnostics, agriculture, or education. Rather than outsourcing ethical frameworks to others, Africa can lead in building AI systems that are transparent, accountable and locally legitimate.

DeepSeek’s emergence from China also signals a shift in global AI dynamics – from a West-dominated field to a more multipolar one.

For Africa, this opens up new pathways for collaboration beyond traditional Western partners. China’s experience in scaling digital infrastructure, paired with Africa’s growing tech-savvy population, creates fertile ground for meaningful South-South cooperation.

Already, countries like Egypt, Nigeria and Kenya have signed AI cooperation agreements with both China and other Asian nations. These should be expanded to include training programmes, joint research on African-language AI models and data-sharing agreements built on trust and mutual benefit.

However, Africa must engage in these partnerships from a position of strategy, not dependency. The goal should be to build local capacity – not just receive tools.

The full potential of tools like DeepSeek will only be realised if African governments and institutions prepare accordingly. This means investing in digital infrastructure, ensuring open data policies and developing clear regulatory frameworks around AI use.

The African Union’s recently proposed ‘AI for Africa’ strategy is a step in the right direction, aiming to create a unified vision for how the continent can adopt and govern Artificial Intelligence. But implementation will be key. Public-private partnerships, capacity building and harmonised policies across borders will be essential to translating vision into impact.

DeepSeek’s arrival is more than a technological milestone – it is a strategic opening. Africa can seize it to build its own AI future, one grounded in local knowledge, accessible technology and inclusive innovation.

Rather than waiting for AI to be imported and imposed, Africa can use tools like DeepSeek to shape AI from within. This will require investment, collaboration and political will – but the payoff could be transformative: a continent that not only benefits from artificial intelligence but helps define its evolution for the world.

Onyango K’Onyango is a journalist and communication consultant