AI’s Economic Winners

Council on Foreign Relations | Rebecca Patterson

The global race for artificial intelligence leadership is shifting as China challenges the United States' historical dominance in talent and research output. While the United States maintains a massive lead in private AI investment, China now produces over 35 percent of top-tier journal publications and holds nearly 70 percent of global AI patents.

This shifting balance of power is further complicated by critical resource dependencies, as both nations leverage export controls on advanced semiconductor chips and critical minerals. Furthermore, rapid technology deployment in highly digitized nations like the United Arab Emirates and Singapore demonstrates that economic benefits depend heavily on domestic infrastructure, electricity availability, and labor-market structures rather than model development alone. Ultimately, the long-term economic winners will be determined by how effectively countries navigate public concerns over job displacement, cyber vulnerabilities, and massive energy demands, which The International Energy Agency projects will double global data center electricity consumption by 2030.

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The concentration of physical infrastructure in projects like the Abu Dhabi-based Stargate initiative, a joint venture between G42, Microsoft, and OpenAI, reveals how AI deployment is increasingly bound to sovereign energy and capital reserves rather than raw algorithmic innovation. This shift exposes a structural bottleneck for European states reliant on imported energy, as their domestic industrial capacity remains insufficient to support the massive electrical loads required by these facilities. Consequently, the geopolitical leverage in the technology sector is migrating from Silicon Valley software developers to states capable of securing physical supply chains, from TSMC-led silicon fabrication to grid-scale power generation.

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