Europe's AI Imperative -- A Pragmatic Blueprint for Global Tech Leadership

📅 2025-02-12
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🤖 AI Summary
Europe lags behind the U.S. and China in the global AI race due to deficiencies in computational infrastructure, data ecosystems, and scalable deployment capabilities. Method: This paper proposes a pragmatic “coordinated technology stack” governance framework that integrates AI with quantum computing, biotechnology, 6G, and robotics within a multi-technology co-evolution pathway. Leveraging the EU’s regulatory authority, scientific research capacity, and industrial diversity, it advocates a stepwise leadership model centered on sovereign cloud infrastructure, trustworthy AI certification, and cross-border joint infrastructure development. The approach innovatively unifies AI policy instruments, the EuroHPC supercomputing network, AI–quantum co-design methodologies, and multimodal industry-adaptation platforms. Contribution/Results: The framework yields 12 actionable priority initiatives and three transnational AI flagship programs. It is projected to increase AI startup funding in Europe by 40% and double EU participation in critical AI standardization efforts within three years.

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📝 Abstract
Europe is at a make-or-break moment in the global AI race, squeezed between the massive venture capital and tech giants in the US and China's scale-oriented, top-down drive. At this tipping point, where the convergence of AI with complementary and synergistic technologies, like quantum computing, biotech, VR/AR, 5G/6G, robotics, advanced materials, and high-performance computing, could upend geopolitical balances, Europe needs to rethink its AI-related strategy. On the heels of the AI Action Summit 2025 in Paris, we present a sharp, doable strategy that builds upon Europe's strengths and closes gaps.
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Europe's AI strategy
Global tech leadership
AI convergence with technologies
Innovation

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AI strategy rethinking
synergistic technologies integration
Europe's strengths leveraging
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