Executive Summary
This report analyzes U.S.-EU AI cooperation amidst intensifying strategic competition, proposing a framework for AI partnerships across different technological futures. It identifies foundational efforts like joint AI system evaluation and lithography resilience, alongside scenario-contingent priorities for U.S. policymakers. The analysis aims to strengthen the transatlantic AI alliance by leveraging EU capabilities and addressing structural constraints.
Why It Matters
This document provides a strategic framework for U.S.-EU AI cooperation, crucial for maintaining a competitive edge against rivals like China and ensuring democratic technological leadership. Defense and geopolitical analysts should care about its insights into alliance management, critical technology supply chains, and the geopolitical implications of AI development.
Key Takeaways
- Transatlantic AI cooperation requires a strategic framework that adapts to different technological futures, moving beyond fixed engagement levels.
- Foundational efforts like joint AI system evaluation, interoperable safety standards, and lithography supply chain resilience are critical regardless of AI development trajectories.
- The EU AI Act, despite compliance burdens, creates a conditional first-mover advantage for trustworthy AI deployment, offering a compliance bridge for U.S. firms into regulated markets.
- The EU faces structural constraints in AI development, including capital scarcity, insufficient sovereign compute, and fragmented data access, which U.S. cooperation can help address.
- ASML's monopoly in advanced lithography is a critical chokepoint, and U.S. export controls on sales to China create revenue pressure on its R&D, necessitating transatlantic mechanisms to sustain innovation.
- EU skepticism of U.S. dependency is a legitimate response to asymmetry, and maximizing short-term leverage is self-defeating; cooperation should aim to grow allied capability.
- The value of EU AI assets depends on whether economic value concentrates in general-purpose or specialized models and the accessibility of advanced models.
- U.S. private capital is reshaping EU AI infrastructure, but its allocation patterns often underserve startups, SMEs, and research institutions where specialized innovation occurs.
Strategic Relevance
This report is strategically relevant as it outlines a framework for strengthening the transatlantic alliance's position in the global AI competition. It addresses critical issues such as securing vital technology supply chains (e.g., lithography), fostering innovation, and aligning regulatory approaches to counter state-directed competitors and maintain technological leadership.