The EU has its AI Act. The US has Biden's executive order followed by AI Action Plan released last year. China has something entirely different. In this episode, Sam and Mac zoom out to examine the global landscape of AI regulation—and it's not just about different rules, it's about competing visions of technology and society.

What you'll learn:

• US sectoral approach: Different agencies (FDA, FTC, EEOC) regulate AI in their domains—flexibility but fragmentation
• China's radically different model: Algorithm registration, content filtering aligned with socialist values, state oversight
• Middle-path approaches: UK's pro-innovation framework, Canada's EU-aligned AIDA proposal, Singapore's voluntary incentives
• Is the Global South being left behind? Risk of regulatory colonialism from Brussels and Washington
• Regulatory convergence vs fragmentation: Shared principles (transparency, accountability, fairness) but wildly different implementation
• Data localization challenges: China, Russia, Indonesia require local storage—making global AI models harder to train

Critical flashpoints:

• Content moderation: What counts as "harmful" varies drastically by country
• Technical standards: ISO, IEEE, NIST developing frameworks, but who sets standards matters geopolitically
• Market fragmentation: Chinese AI companies don't operate in the West; Western companies avoid China

For AI builders and startups: Design for the most stringent requirements you expect. Build in privacy, transparency, and accountability from the start. If you want EU customers, you comply with EU rules—regardless of where you're based. Focus on your target market first for validation, then expand compliance as you scale.

Key insight: These aren't just regulatory differences—they're geopolitical choices that shape what gets built, how it works, who benefits, and what risks we accept.