Sovereign AI infrastructure builds across Gulf economies

Gulf economies are building sovereign AI ecosystems that provide national control over data, infrastructure and technology capabilities as artificial intelligence deployment moves beyond pilot projects. Andrew Chen, Vice President and Head of Platform & Products at Magna AI, said the region's AI development is entering a phase where governance, accountability and national capabilities are becoming as important as computing power.

Governance frameworks required for scale#

Most organisations across the GCC understand the potential of AI but face challenges deploying it securely, governing it effectively and operating it at scale, Chen said. Oversight and accountability structures must be built into systems from the start rather than retrofitted, with clear frameworks essential for safe scaling. Rules covering oversight, escalation and human responsibility enable AI to scale safely and credibly, he added. Many organisations are still struggling to move beyond pilot projects despite widespread AI adoption across the region.

Arabic language models deployed on national infrastructure#

Sovereign AI requires technology built for local languages, cultures and operational needs instead of depending entirely on global models, Chen said. A model capable of communicating in Arabic differs from AI built specifically for the linguistic, cultural and operational environments where regional governments and enterprises operate. Magna AI is collaborating with Arabic.AI and Intella on the deployment of a sovereign Arabic large language model and dialectal voice AI running on secure national infrastructure. The platform provides access to Arabic and English sovereign models alongside frontier and open-source models, all available through a unified gateway.

Regional model extends to Malaysia, Taiwan and Pakistan#

Magna AI, founded with its global operations headquarters in Riyadh, has developed a portfolio of six AI products covering infrastructure, applications, security and compute exchange services, all built on a sovereign AI framework. The company obtained commitments in three markets during its first year: Malaysia, Taiwan and Pakistan. In Malaysia, projects comprise a 20MW sovereign AI data centre alongside a national AI compute exchange. Taiwan will receive a sovereign AI exchange, while Pakistan's engagement takes the form of a public-private partnership for AI development. The company is investing in executive training, certifications, startup support and joint innovation initiatives with regional partners through its academy and accelerator programmes.

Infrastructure ownership determines economic value capture#

Countries that control the infrastructure, platforms, talent and intellectual property underpinning AI systems will secure the economic returns those systems generate, enhance their technological independence and develop new industries from that foundation, Chen said. As AI agents begin taking on more decision-making and operational tasks, governance will become more critical. Agents should be onboarded with the same rigour as a new employee, with well-defined roles, safeguards and structured oversight, he added.