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/News/South Africa’s draft AI policy spreads oversight across existing regulators

South Africa’s draft AI policy spreads oversight across existing regulators

A new draft framework avoids a single AI regulator and instead coordinates rules through existing agencies. Full implementation is planned for 2027 to 2028.

In short

South Africa has published a draft National AI Policy Framework for public comment.

The plan avoids creating a single “AI super-regulator”. Instead, it spreads responsibility across existing government agencies and focuses on coordination.

What happened

On April 2, 2026, South Africa’s cabinet published a draft National AI Policy Framework for public comment.

The policy is led by the Department of Communications and Digital Technologies (DCDT). It is expected to be fully implemented in the 2027 to 2028 financial year.

In its cabinet statement, the government said the goal is to make sure AI’s benefits and risks are “evenly distributed across society and generations”.

The notable choice is governance design. Rather than setting up a new central authority to approve, register, or license AI systems, the draft leans toward decentralised oversight. That means existing regulators and public bodies would handle AI issues that fall within their mandates, with coordination between them.

This contrasts with moves in other markets where lawmakers are proposing more centralised AI control. In those models, a dedicated agency or commissioner often sets rules for “high-risk” AI, meaning systems that could cause serious harm in areas like hiring, credit, health, or policing.

Why it matters

For founders and operators, decentralised oversight can reduce the risk of one bottleneck agency slowing product rollouts.

But it can also create complexity. Companies may need to engage multiple regulators, depending on where their AI is used, for example finance, telecoms, health, or education.

Investors will watch how South Africa defines accountability in practice, including who audits AI models, how complaints are handled, and what enforcement looks like when several agencies share the job.

Clear coordination rules will matter most. Without them, “flexibility” can turn into uncertainty for teams trying to ship AI products and stay compliant.

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