Business
Qatar cements its competitive position in global AI and technology space: BCG
Doha is steadily cementing its position as a competitive player in the global AI and technology race, supported by strategic investments from the Qatar Investment Authority (QIA), according to the Boston Consulting Group (BCG).
These include the establishment of a $3bn global platform with Blue Owl Capital to accelerate international AI and cloud infrastructure expansion, as well as QIA’s participation in Anthropic’s $13bn funding round, BCG said in its report presented at the Mobile World Congress, which concluded Wednesday.
These initiatives underscore Qatar’s commitment to advancing its digital capabilities and align closely with the ambitions of the Qatar Digital Vision 2030, it said in the report "AI Data Centers: An Opportunity in the Middle East”.
"Qatar’s digital ambition is rapidly taking shape, driven by decisive leadership and a deep commitment to innovation. In line with Qatar National Vision 2030 and Qatar’s Third National Development Strategy, the country is harnessing AI and emerging technologies to cement its role as a competitive force in the global digital economy," said Harold Haddad, managing director and senior partner.
The report revealed that the Middle East is rapidly positioning the region as a rising global nexus for AI data centre investment and innovation. As global demand for AI infrastructure accelerates, with data centre power needs projected to grow from 86GW (Gigawatt) in 2025 to 198GW by 2030, BCG finds that the Middle East has a uniquely competitive advantage in supplying scalable, cost-efficient AI compute capacity.
Highlighting that the Middle East is not merely participating in the global AI infrastructure race; it is fast emerging as a critical new hub of AI data centre development; it said the region benefits from distinctive structural advantages.
Its strategic geography places it within a 2,000-mile radius of over 3bn people, enabling it to serve Europe, Asia, Africa, and the Global South with non-latency-sensitive AI inferencing at scale.
Competitive cost structures, including up to 50% lower leasing rates, low power tariffs, and advanced cooling systems adopted by regional operators, significantly reduce the total cost of ownership, BCG said, adding meanwhile, markets such as the UAE and Saudi Arabia continue to accelerate time-to-market for new data centres through fast-track development, dedicated investment teams, and special economic zone clusters such as Masdar City’s Stargate Campus.
"This momentum is reinforced by the region’s expansive land availability, scalable power ecosystems, and the planned ~720Tbps Fibre in the Gulf (FIG) submarine cable project," it said.
Thibault Werlé, managing director and partner at BCG said the Middle East is undergoing a pivotal transformation as it positions itself to become a global hub for AI infrastructure.
"With strategic investments, progressive digital policies, and ambitious national visions across Qatar, the UAE, and Saudi Arabia, the region is building the foundation for scalable, next-generation AI compute," he added.
The report outlines major national initiatives shaping the Middle East’s AI infrastructure landscape. Saudi Arabia has launched HUMAIN with a targeted 1.9GW AI data centre capacity, along with partnerships with NVIDIA, AMD, AWS, DataVolt, and Groq to develop multi-hundred-megawatt AI campuses, including the world’s largest AI compute centre.
The UAE is advancing a 5GW AI campus in Abu Dhabi under the US-UAE AI Acceleration Partnership and is importing 500,000 GPUs for regional and US partners, supported by Microsoft’s $15.2bn AI and cloud infrastructure investment.
"Qatar’s strategic investments complement these national efforts and reinforce a GCC-wide push toward establishing a global AI compute corridor," the report said.
With its strategic geography, favourable economics, and ambitious national digital agendas, the Middle East is uniquely poised to emerge as a global AI data centre powerhouse — particularly for regions requiring scalable and cost-efficient AI compute such as the Global South.