The next era of AI leadership won’t be decided by whose models are best – it will be decided by whose models are everywhere
The visions mirror one another in ambition at first glance, but beneath the surface lies a strategic divergence: the US aims to dominate through invention and control while China seeks to influence through adoption and distribution. In the unfolding race for AI leadership, the former focuses on capabilities and the latter on infrastructure.
The US playbook is familiar. For decades, American hegemony ran on a compounding engine of public research and development feeding private commercialisation, which in turn built platform monopolies such as Unix and iOS that scaled globally. Like steel and railways once powered industrial empires, these digital scaffolds became the data arteries of the modern world, quietly carrying the lifeblood of global infrastructure. American tools became global defaults, not by decree but by design.
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