AI governance at a crossroads: Burnham, Trump and the battle for sovereign AI

AI regulation is diverging fast: the EU, UK and US are taking three very different approaches to governing AI.

🇪🇺 The EU AI Act is already in force, creating a comprehensive, risk-based regulatory regime with extraterritorial reach.
🇬🇧 The UK continues to favour a principles-based, sector-led model, relying on existing regulators and legislation rather than a dedicated AI law.
🇺🇸 The US remains fragmented, with a patchwork of state laws and sector-specific enforcement rather than a single federal AI framework.
🔄 The result is that a single AI system deployed internationally may need to comply with multiple regulatory regimes and differing definitions of acceptable risk.
🏛️ The debate around “sovereign AI” is growing, but true sovereignty requires control of data, infrastructure, compute and talent, areas where the UK still has significant dependencies.
⚠️ Businesses should focus now on AI governance, supply chain resilience, data sovereignty, contractual protections and board-level oversight.