Europe faces a critical choice in the AI race: deepen its reliance on U.S. technology partners or invest heavily in building independent AI capabilities. According to Hermann Hauser, co-founder of chip giant Arm and a veteran investor who has witnessed four decades of technology waves, the continent's future competitiveness hinges on balancing alliance with autonomy.

Can Europe Compete With the U.S. and China in AI?

Hauser is adamant that European companies possess the innovation and technical skill to compete globally in artificial intelligence. However, he identified a structural problem that has plagued the continent for years: European startups struggle to scale from small operations into truly global competitors. This scaling challenge becomes especially acute in AI, where capital requirements and compute infrastructure demands dwarf those of previous technology cycles.

The broader concern animating Hauser's thinking is technological sovereignty. Europe remains heavily dependent on foreign suppliers for critical technologies, ranging from AI models themselves to the specialized software used to design semiconductors. While maintaining close cooperation with allies is essential, Hauser warned that dependence carries significant risks in an era of rising geopolitical tension and export controls.

"Europe should preserve its partnership with the U.S., but it should not become a technology colony of the U.S.," Hauser stated.

Hermann Hauser, Co-founder of Arm

What's Driving the AI Bubble Concerns?

While Hauser believes AI represents "a revolution that will create more value than probably any other technology revolution that we've ever seen," he also cautioned that the journey will be a "rollercoaster". Some valuations have clearly gotten ahead of themselves, particularly in recent circular financing deals where companies raise capital at inflated valuations to fund their own operations.

While Hauser

However, Hauser noted that the largest, best-capitalized players like OpenAI and Anthropic should be able to withstand periods of market turbulence even if investor expectations are reset. The real challenge lies not in whether AI creates value, but in how that value gets distributed globally and which regions control the underlying infrastructure.

How to Understand Europe's Strategic Technology Gaps

• AI Model Dependency: European companies lack homegrown large language models (LLMs) comparable to OpenAI's GPT series or Anthropic's Claude, forcing reliance on U.S.-based providers for core AI capabilities.
• Semiconductor Design Tools: Critical software for designing chips remains controlled by non-European vendors, limiting Europe's ability to independently develop advanced processors for AI workloads.
• Compute Infrastructure: The massive data centers and specialized hardware required to train and run AI models require capital and expertise concentrated in the U.S. and increasingly in Asia.
• Scaling Barriers: European startups that develop promising AI technologies often lack the venture capital ecosystem and market access to grow into global competitors before being acquired by larger U.S. firms.

Hauser's analysis reflects a broader geopolitical reality: the U.S. has leveraged export controls on advanced semiconductors and AI-related technologies to constrain China's AI development, but those same controls also limit European companies' access to cutting-edge chips needed for competitive AI systems. Europe finds itself caught between two superpowers, unable to fully participate in either ecosystem.

What Architectural Changes Could Reshape the AI Landscape?

Beyond geopolitical concerns, Hauser highlighted emerging computing technologies that could fundamentally alter how AI systems operate. Right now, AI is expensive to run because chips struggle with heat dissipation, memory is costly, and data movement between processors and storage creates bottlenecks across the industry. These constraints are forcing a rethinking of computing architecture itself.

Technologies such as in-memory computing and photonic computing, which use light instead of electricity to move data, could dramatically reduce the energy consumed by AI systems. Hauser emphasized that these architectural breakthroughs could prove as significant as the innovations that helped Arm challenge established chipmakers decades ago. "I never thought that we'd have a very fundamental change in the computer architecture as a result of AI," he noted.

Hauser

If Europe can lead in these emerging architectural innovations, it might carve out a defensible position in the global AI supply chain, even if it remains dependent on U.S. partners for other components. The question is whether European policymakers and investors will commit the resources necessary to pursue this path before the window closes.