Africa's AI Economy at Risk: Continent Must Seize Control or Lose Billions

JOHANNESBURG — A billion-dollar question hung over the University of Johannesburg’s inaugural AI and the Law Conference: who captures the economic value that artificial intelligence generates across Africa, and who bears the cost when these systems fail?

The second day of proceedings sharpened a stark market reality. Africa risks becoming a passive consumer of AI technologies and regulatory frameworks designed elsewhere, absorbing systems built on data, languages and legal reasoning that reflect other economies, not its own. The conference drew academics, technologists, policymakers and industry leaders to examine who designs AI systems, whose data trains them, who captures the returns they generate and who carries liability when they malfunction.

United Nations Under-Secretary-General and Rector of the United Nations University, Professor Tshilidzi Marwala, framed the problem as one of fundamental accountability. “When something goes wrong, or even when something goes right, who decides? Who is liable? Who designed the system that made the decision possible? And what trade-offs did we quietly accept along the way without really naming them?” he asked in his keynote address.

Marwala argued that AI governance requires simultaneous attention to three interconnected dimensions: law, which determines liability and rights protection; governance, which shapes how oversight, data, algorithms and computing infrastructure are designed; and balance, which forces society to confront unavoidable trade-offs between technological advancement and its risks. “For every domain AI touches, society must decide how much certainty the law demands, how much structure governance provides and how much trade-off we are willing to accept,” he said.

The expansion of AI into justice systems presents both commercial opportunity and structural risk. AI-powered legal assistance and document automation could substantially widen access to legal services for communities historically excluded from justice, opening a significant addressable market. Yet Marwala cautioned that this benefit depends on meaningful regulatory safeguards and public trust. “If we let the companies write the rules for the very tools meant to close the justice gaps, we risk the same digital divide simply reappearing inside the solution,” he warned.

Criminal justice applications carry particular exposure. Predictive policing and risk-scoring systems increasingly influence bail, sentencing and parole decisions, yet these systems rest on statistical models that generate probabilistic outputs. Marwala questioned whether technologies producing probability estimates should guide legal determinations requiring proof beyond reasonable doubt. He also flagged a technical vulnerability with direct liability implications: AI systems can generate responses that appear accurate while being factually incorrect. “Accuracy is not truth,” he said. “The same way we have long understood that correlation is not causation, we must recognise that accuracy is not truth.”

By contrast, UJ Vice-Chancellor and Principal Professor Letlhokwa George Mpedi extended the analysis into Africa’s specific competitive position, arguing that the continent cannot simply import AI governance frameworks built for other jurisdictions. “AI models are mirrors. They reflect whatever they were fed. And if the data feeding those mirrors is overwhelmingly Western, then Africa is letting someone else’s mirror define its own reflection,” he said.

The economic risk extends to African cultural and intellectual property. Traditional fabrics, patterns and indigenous knowledge can be extracted, replicated and commercialized by AI systems thousands of kilometres away from the communities that created them, generating no benefit or attribution for their originators. Mpedi proposed that Africa adopt legal mechanisms similar to geographical indication protections, which have successfully safeguarded products like South African Rooibos. “Africa needs the AI equivalent of geographical indication, a legal mechanism that protects cultural provenance before it is absorbed and monetised elsewhere,” he said.

Language represents another critical market gap. Africa hosts approximately 2,000 languages, yet leading AI systems perform reliably in only a fraction of them. This shortfall has direct implications for access to justice and raises hard questions about whether AI-driven legal aid tools can serve communities whose languages, legal traditions and dispute resolution approaches they do not adequately understand. “An AI-driven legal aid tool is not neutral if it cannot reason competently in isiZulu or Sesotho,” Mpedi noted.

The collective leverage available to African economies is substantial. Through the African Union and the African Continental Free Trade Area, the continent encompasses 54 countries and approximately 1.4 billion people, providing significant negotiating power over how African data is used to train AI systems. “We should talk together. We represent 1.4 billion people. If we harness it, it will be strong,” Mpedi said.

The two keynote addresses converged on a unified framework for turning that leverage into enforceable outcomes. Marwala articulated how the three dimensions must operate together: “Law alone arrives too late. It adjudicates harm only after the fact. Governance alone lacks teeth. It can design excellent systems that no one is actually bound to follow. And balance alone is just honesty about trade-offs, with no mechanisms to enforce the choices we have made. Put together, balance names the trade-offs, governance designs and manages them, and law enforces the outcome.”

The day’s programme extended beyond keynote addresses to include parallel sessions where scholars, researchers and practitioners presented work on opportunities and challenges at the intersection of artificial intelligence, law and sustainable development. A panel titled Artificial Intelligence, Sustainability and the Future of Society brought together Professor Georg Borges of Universität des Saarlandes in Germany, Professor Arthur Mutambara of UJ’s Institute for the Future of Knowledge and Professor Sune von Solms of the UJ Faculty of Engineering and the Built Environment. Technology Innovation Agency Chief Executive Officer Dr Titus Mathe contributed an industry perspective to the proceedings.

Speaking in the Kruger National Park, which marks a century of protection in 2026, Mpedi drew a parallel between conservation and the responsibility facing the current generation. “We are gathered in a place that protects something precious because generations before us had the foresight to build the legal instruments to make that protection durable. I hope this conference is one more such instrument,” he said.

Whether African economies can translate that ambition into binding frameworks before the next generation of AI systems is trained, and monetised, on their data remains the open question.