National AI Strategies

Most major economies now have a published national AI strategy, and many are on their second or third iteration. These documents lay out how governments plan to develop AI capability, attract talent, fund research, and position their countries competitively. The US has emphasised private sector leadership with government coordination, particularly around defence and national security applications. China's approach is more state-directed, with ambitious targets for AI leadership by 2030 and significant public investment. The EU has tried to differentiate on trustworthy AI, betting that a strong regulatory framework will become a competitive advantage. Smaller nations like the UAE, Singapore, and Canada have pursued niche strategies - sovereign wealth fund investment, regulatory sandboxes, and talent hubs respectively. For businesses, these strategies matter because they determine where funding flows, what regulatory environment you'll operate in, and where talent concentrates. A national AI strategy that prioritises healthcare AI, for instance, creates opportunities in that sector through funding, data access, and supportive regulation. Reading these strategies isn't just for policy wonks - it's practical intelligence for anyone building or deploying AI across borders.