AI Autonomy in the Middle East and Africa: Why Control Matters
By: Christiaan Smits, Head of Public Policy EMEA at Cloudflare
Artificial intelligence is quickly becoming a major factor in national competitiveness. Across the Middle East and Africa, governments now see AI not only as an innovation tool, but also as a strategic asset that can support economic growth, stronger digital systems, and better public services.
As adoption grows, one key question stands out: who controls the technologies behind the AI economy?
Most large AI models and advanced computing systems are still built mainly in the United States and China. For countries in the Middle East and Africa, the goal is not necessarily to develop every layer of this ecosystem locally. Instead, the focus is on maintaining strategic control over how AI is used, governed, and integrated into national economies.
This means building open and resilient AI ecosystems that reduce dependency on a single provider while preserving flexibility and choice.
AI and economic growth
AI is already playing a central role in regional development plans. The UAE and Saudi Arabia, for example, have placed AI at the center of long-term strategies such as the UAE’s National AI Strategy 2031 and Saudi Arabia’s Vision 2030. These plans aim to boost innovation, improve public services, and diversify economies.
The economic opportunity is large. AI could add hundreds of billions of dollars to Middle Eastern economies by 2030, while also generating major growth across Africa through productivity gains and digital services. But as AI becomes embedded in finance, healthcare, and infrastructure, governments are becoming more aware of the risks of relying too heavily on outside technology systems.
Freedom of choice
AI autonomy does not mean that every country must build the entire technology stack on its own. That is unrealistic for most nations. Instead, it means having the freedom to choose tools, control data, and avoid lock-in to one provider or platform.
To do this, countries need diversified infrastructure, open standards, and stronger digital supply chains. These elements help create healthier competition, support innovation, and reduce dependence.
Infrastructure and access
Global AI debates often focus on huge data centers used to train large models. But many practical AI applications depend on distributed infrastructure that is closer to users.
Edge computing can support low-latency, secure, and reliable AI services for areas such as smart cities, healthcare, financial services, and industrial operations. Demand for this kind of infrastructure is rising across the region as governments and businesses seek faster, more local AI processing.
Access is also important for small and medium-sized enterprises, which make up most businesses in the region. Usage-based models such as serverless computing and pay-per-use services can help smaller organizations experiment with AI without large upfront costs.
Data governance and openness
Data control is another important part of digital sovereignty. Sovereignty is not just about keeping data inside national borders; it is also about transparency, access control, and compliance.
Open standards and interoperability are increasingly important because they allow organizations to use multiple AI tools without depending on one vendor. This matters even more in a region with major linguistic diversity, where AI systems must work across many languages and dialects to be truly useful.
Recommendations
1. Invest in open and diversified AI infrastructure to reduce dependence on single providers.
2. Support open standards and interoperability so governments and businesses can switch between tools more easily.
3. Expand edge computing and distributed systems to improve speed, security, and reliability.
4. Make AI more accessible to SMEs through pay-per-use and serverless models.
5. Strengthen data governance frameworks to balance innovation with control and compliance.
6. Prioritize AI systems trained on regional languages and local data to improve relevance and inclusion.