South Africa's AI Crossroads: Access Is Not the Same as Control
There is a pattern in South Africa's economic history that keeps repeating itself. The country gains access to a strategic resource or infrastructure system, benefits partially from it, and then watches the real value flow elsewhere, to the entity that owns it. It happened with mining. It happened with electricity. It happened with telecommunications. The warning signs are visible again, this…
Ntuli, MD of HPE South Africa, warns that the country's cloud-first approach has created a heavy reliance on just a few global providers, undermining its ability to influence AI pricing, terms, and overall digital trajectory. The urgency of South Africa's sovereign AI debate is heightened by a policy embarrassment - the Draft National AI Policy was withdrawn after it contained fictitious AI-hallucinated academic citations.
While the private sector moved forward with AI deployments in various sectors, the government struggled to establish a robust framework. South Africa has shifted from AI pilots to operational deployments, ranking 46th out of 147 economies in Microsoft's Global AI Diffusion Report. The country's usage of generative AI has climbed to 23.1% of the working-age population.
However, the argument for sovereign AI is not about protectionism or inferior domestic alternatives. It's about owning enough of the AI stack to exercise genuine choice. South Africa has the university depth, data assets, and private sector dynamism to compete in AI development, but lacks policy coherence to integrate these elements.
The country's strategic infrastructure operators should pursue a similar approach to Siemens and HPE to ensure control over data, intellectual property, and critical systems, while leveraging high-performance computing for innovation.
Written by urgent.news from IOL's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
