AI boom redefines global business location strategies

The global contest for business and investment is entering a new arena, fundamentally reshaped by the rise of artificial intelligence. While countries have historically competed on factors like low taxes and skilled labor, AI has introduced new, critical dimensions to this landscape.

Access to advanced AI models is largely global, but deployment is local. This necessitates robust compute infrastructure, data sovereignty, clear AI governance, and continued access to cutting-edge models. These elements are beginning to redraw the global business map, as nations actively compete to attract not only companies and talent, but the AI capabilities underpinning future economic growth.

Strategies vary significantly across regions. Singapore is focusing on "trusted deployment," building governance frameworks and testing tools. The Middle East, exemplified by Saudi Arabia and the UAE, is offering substantial compute power and energy infrastructure for AI workloads. China, meanwhile, is pursuing "diffusion" by making increasingly capable models available as open-source, granting companies greater control over their AI usage.

Europe is attempting to leverage regulation with its AI Act, while the US is building on its existing strengths across the AI stack. Companies face complex decisions when planning their global AI strategies, with infrastructure, data sovereignty, governance, and model access becoming central variables. These investments are increasingly difficult to reverse, making current decisions critical for future operational flexibility.