GV's Tom Hulme on the AI Investment Cycle, Europe's Opportunities, and Sovereign AI

Google Ventures partner Tom Hulme shares insights on the AI investment landscape, Europe's competitive position, the growing importance of sovereign AI infrastructure, and the privacy challenges facing the AI industry.

Key Themes

The AI Investment Cycle

Hulme discusses where we are in the AI investment cycle — beyond the initial hype wave and into a phase where investors are demanding real returns. The focus is shifting from "AI for everything" to "AI where it actually creates value."

Europe's AI Opportunity

London and Europe have unique advantages in the AI race:

• Strong academic research traditions
• Growing AI startup ecosystems
• Regulatory clarity (the EU AI Act provides a framework)
• Access to diverse talent pools
• Lower costs compared to Silicon Valley

Sovereign AI

The concept of sovereign AI — nations building their own AI infrastructure and models — is gaining traction:

• Countries don't want to depend on US or Chinese AI platforms
• Data sovereignty concerns drive demand for local AI solutions
• Europe's regulatory approach may become a competitive advantage
• The geopolitical implications of AI dependency are becoming clear

AI Privacy

Privacy remains one of the biggest challenges:

• Training data collection raises fundamental privacy questions
• User data in AI models creates new consent challenges
• Europe's GDPR framework provides both constraints and opportunities
• Privacy-preserving AI techniques (federated learning, differential privacy) are becoming commercially important

Why This Matters

GV (Google Ventures) is one of the most active AI investors. Hulme's perspective provides a window into how top-tier venture capital is thinking about AI's next phase — moving from hype to sustainable business models, from global platforms to sovereign infrastructure, and from unfettered growth to privacy-respecting development.

Source: Financial Times via Techmeme | March 18, 2026