AI as a Sovereign Power

Summary

Ariana Salvatore examines the rise of sovereign AI as a policy priority, explaining how nations are shifting focus from chip controls to controlling the full AI stack—infrastructure, energy, standards—and what that means for markets, energy competition, and regulatory fragmentation.

• The AI policy debate has broadened from semiconductor export controls to control over the entire AI stack, including cloud, data centers, energy, and cybersecurity.
• Sovereign AI turns data centers, power availability, and grid reliability into strategic national assets, increasing government involvement in AI buildout.
• The US promotes its AI technology stack to allies with guardrails, while China pursues indigenization, reinforcing a multipolar order.
• Energy access becomes a competitive advantage; rising power costs and local backlash against data centers shape infrastructure decisions.
• Policy responses include conditional buildout with cost allocation, support for lowest-cost energy even against emissions goals, and off-grid power solutions like fuel cells and storage.
• Sovereign AI introduces inflationary pressures, regulatory uncertainty, and potential tech transfer limits, raising costs for countries reducing dependencies.
• The AI race is moving from model development to control over infrastructure, standards, supply chains, and energy systems.