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South Africa Has AI Leverage. Its Draft Policy Leaves It Unused
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South Africa Has AI Leverage. Its Draft Policy Leaves It Unused

IEEE Spectrum · May 27, 2026, 1:00 PM · Also reported by 4 other sources

This article is adapted by the author with permission from Tech Policy Press. Read the original article.South Africa is not just another developing country struggling to govern artificial intelligence (AI); it is the exception with leverage, and the window to act on it is closing. It holds approximately 88% of global platinum-group metal reserves, critical inputs to parts of the semiconductor and data center supply chains that make AI infrastructure possible. It hosts the largest data center market on the continent. Its existing hyperscaler relationships give it procurement leverage that most African states will never have. And a major geopolitical contest over AI infrastructure is being fought on its soil right now, between Chinese and American technology companies competing for control of the systems that will underpin an entire continent’s public sector.In physics, leverage requires three things: a fulcrum, a lever arm and the ability to apply force. The Bushveld Complex, the world’s largest platinum-group metal deposit, is the fulcrum: a mineral endowment that gives South Africa a position in the semiconductor supply chain that no other African state holds. The since-withdrawn draft policy is the lever arm. The unresolved “OPTION” provisions in the policy are where force would be applied. Without a policy that specifies what South Africa wants in return for market access, the lever arm sits unused, and the weight of two of the world’s largest technology ecosystems settles exactly where those ecosystems want it to settle.This makes South Africa a global test case. Not because its proposed means of governance is exemplary, but because it is the one developing country with enough structural leverage to negotiate genuinely different terms, and the one that is choosing, through inaction, not to. The recent announcement of a new panel to update the draft policy is an important opportunity. But the deeper failure is not that an AI policy contained bad references. It is

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