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Raoul Pal Warns US-China AI Race Has No Clear Winner

Raoul Pal Warns US-China AI Race Has No Clear Winner

Raoul Pal, co-founder of Real Vision and a former Goldman Sachs hedge fund manager, argues the artificial intelligence competition between the United States and China is unlike any geopolitical rivalry in history. He describes it not as a fight for territory or weapons, but for the substratum of intelligence itself. And he warns there is no clear winner.

What makes this race different

Pal says the AI contest isn't about land grabs or missile counts. It's about who controls the foundational layer of intelligence — the ability to think, reason, and make decisions at machine speed. That, in his view, makes it fundamentally different from past great-power struggles like the Cold War or the space race. Those were about hardware and deterrence. This one is about cognition itself.

The former hedge fund manager points out that both the U.S. and China are pouring massive resources into AI development, but the outcome is uncertain. No side can claim a definitive lead that guarantees victory. The technology evolves too fast, and the playing field keeps shifting.

Why Pal thinks there's no winner

Pal warns that the race has no clear winner because the nature of AI makes it hard to declare a finish line. Territory can be conquered and held. Weapons can be stockpiled. But intelligence — especially artificial general intelligence — is a moving target. What counts as a win today might be obsolete tomorrow.

He also notes that AI development is highly interdependent. Breakthroughs in one country often rely on research, talent, or components from another. That interdependence means no single nation can fully control the outcome. Even if one side appears ahead, the other can leapfrog with a new algorithm or hardware innovation.

Pal's comments come as governments and investors scramble to position themselves for the AI era. For those watching from the sidelines, his warning is a reminder that betting on a clear victor might be a losing strategy. The race isn't a sprint or a marathon — it's more like a labyrinth that keeps changing shape.

Policymakers face a similar puzzle. Trying to lock in an advantage through export controls or talent bans might backfire if the technology evolves in an unexpected direction. Pal's view suggests that the real challenge isn't winning the race, but surviving the uncertainty of a race that never ends.