“At Huawei’s ICT Editors Xchange in Johannesburg, leaders from academia, business, and technology emphasized that Africa’s AI future must be built on African data, languages, and priorities rather than imported Western models. Speakers warned that without urgent action, Africa risks being marginalized in the global AI landscape, with only 0.04% of AI training data currently African.”
Artificial Intelligence (AI) is rapidly reshaping economies worldwide, but Africa’s role in this transformation remains uncertain. At Huawei’s seventh annual ICT Editors Xchange in Johannesburg, experts stressed that Africa must define its AI future on its own terms—rooted in local realities, languages, and data. The event, themed “Africa’s Intelligence, Africa’s Terms”, brought together policymakers, academics, entrepreneurs, and technology leaders to chart a path forward.
The Case for African-Centric AI
Huawei South Africa’s deputy CEO Charles Cheng argued that Africa’s digital transformation will be driven by cloud computing, AI, secure networks, and local talent. He emphasized that African intelligence must be trained on African realities:
- Small businesses, schools, hospitals, and public institutions should be the focus.
- Ownership of platforms and autonomy over data must be prioritized.
- AI must reflect the languages and cultural contexts of African users.
Gift Lubele, founder of AuraaAfrica, highlighted the stark imbalance in AI training data: 94% of AI music models are trained on Western data, while African data accounts for just 0.04%. He warned that if Africa fails to generate and integrate its own datasets, it risks “ceasing to exist” in the AI ecosystem.
The Urgency of Action
Lubele cautioned that Africa has a limited window of opportunity to catch up with global AI leaders. If the continent remains a consumer of AI tools rather than a creator of data and models, it will continue exporting intellectual property and economic value. His company, AuraaAfrica, recently won Huawei’s Grand Innovation Prize at the Code4Mzansi developer competition, underscoring the potential of African-led innovation.
Language and Education Challenges
Dr. Olaperi Okuboyejo of the University of Pretoria pointed out that mainstream AI tools perform poorly in African languages. This is particularly problematic in education, where 81% of Grade 4 learners in South Africa cannot read for meaning in any language. She argued that AI could support learning if deployed in the languages children actually speak at home, rather than forcing early transitions into English.
Risks and Opportunities
Digital futurist Nicky Verd warned that Africa’s greatest risk is complacency, not technology. Unlike developed economies burdened by legacy systems, Africa has the advantage of agility. By embracing AI quickly and strategically, the continent could leapfrog traditional development barriers. However, failure to act decisively could leave Africa permanently behind.
Building Infrastructure for AI
Speakers emphasized that AI cannot thrive without robust infrastructure:
- Cloud services to store and process data.
- Secure networks to protect information.
- Talent development to ensure African engineers and researchers lead innovation.
Huawei’s initiatives in connectivity and cloud infrastructure were showcased as examples of how Africa can build the foundations for AI adoption.
Policy Implications
The discussion comes at a critical time, as South Africa struggles with its collapsed national AI policy, recently flagged by the World Bank. Without a clear national strategy, Africa’s largest technology hub risks falling behind global peers.
Conclusion
The Johannesburg conference underscored a clear message: Africa must own its AI future. By investing in local data, indigenous languages, and infrastructure, the continent can ensure that AI serves African needs rather than importing foreign solutions. The stakes are high—failure to act could mean exclusion from the digital economy, while decisive leadership could position Africa as a global AI innovator.
