The US Is Playing Chess While Others Play Checkers: Here's Why AI Is Already Theirs

The race for artificial intelligence is no longer pure speed. It's become about who controls the pieces on the board. The United States, according to analysts at Allianz Bernstein, figured this out well: rather than buying components from suppliers scattered across the world (geopolitical risk included), major American tech companies are building everything in-house. Nvidia, OpenAI, Google, and others are vertically integrating—controlling design, production, software, and services simultaneously. It's like Jeff Bezos building Amazon while also owning the roads for the delivery trucks.

This strategy has a massive advantage in times of US-China tension. When the government knocks asking "can you block advanced chip exports to Beijing?", American companies don't have to plead with Taiwan or Japan—the answer is already yes. It's not conspiracy, it's business. Meanwhile, international competitors find their supply chain broken, like having a nice car but no gas.

But here's the twist: this doesn't mean the rest of the world is doomed. It just means the window to act is closing fast. Europe has been talking about technological sovereignty for years. China is rolling out its own proprietary AI models. India is developing open-source alternatives. But in 2026, as we write, the US already has the advantage of speed and scale—and in an innovation race, that matters enormously.

Vertical integration has another interesting side effect: it lets American companies iterate faster. If OpenAI has an idea to improve a model and needs new hardware, it doesn't wait in line at an external supplier. Design, build, test. Closed loop. Competitors dependent on third parties? Still waiting for the blueprint to leave their desk.

It's not exactly bad news globally, though. Forced competition pushes others to innovate. Maybe they won't win this battle (market dynamics are tough), but the AI war will be long. And history teaches that monopolies don't last—especially in tech, where talent is geographically scattered and a genius from San Francisco is hard to replace, but not impossible.