US vs China AI Race: What It Means for Crypto

A new report from the Brookings Institution is reshaping how analysts should frame the US-China technology rivalry — and for derivatives traders watching macro catalysts, the implications extend well beyond Silicon Valley. The report, published Monday, draws a sharp distinction between American and Chinese approaches to artificial intelligence development, a divide that carries meaningful signal for risk-on asset classes including crypto perpetual markets.

Two Competing AI Doctrines, One Macro Risk Factor

According to Brookings, US technology firms are channeling hundreds of billions of dollars into compute infrastructure — data centers stacked with hundreds of thousands of chips — in pursuit of artificial general intelligence (AGI): systems capable of matching or exceeding human cognitive performance across most domains. Chinese firms, by contrast, are prioritizing deployment velocity, model efficiency, and physical-world integration across consumer electronics, manufacturing, robotics, and autonomous systems.

Hamza Chaudhry, AI and National Security Lead at the Future of Life Institute, framed it bluntly: "It's a story of a handful of companies in Silicon Valley having an obsession with AGI, while companies in China are much more focused on getting this product in the hands of as many users as possible and embodying it across their economy."

The Brookings report highlights that Chinese AI labs have been "hyperfocused on squeezing greater performance out of limited compute and memory resources" — a direct response to US chip export restrictions that have constrained access to high-end semiconductors. This efficiency-first posture, exemplified by models like DeepSeek, has already demonstrated the capacity to rattle US tech equity valuations. When DeepSeek's capabilities became public earlier this year, the resulting selloff in Nvidia and broader tech indices triggered correlated deleveraging across crypto markets.

How Does the US-China AI Divide Affect Crypto Perpetual Markets?

For perp traders, the US-China AI narrative functions as a macro volatility lever. Escalation events — export control expansions, open-source model controversies, or military AI disclosures — have historically compressed risk appetite across correlated assets. As of mid-2025, BTC perpetual open interest on major venues has remained sensitive to macro tech sentiment shifts, with funding rates turning negative during periods of acute geopolitical uncertainty.

The Brookings report raises a specific concern around open-source AI models. Chaudhry noted there is "already public reporting that open-source models have been used by the Chinese military" — a disclosure that, if it escalates into formal policy action such as tighter open-source licensing restrictions or new export frameworks, could trigger a risk-off rotation. In prior instances of US-China tech friction, BTC has seen intraday volatility spikes of 3%–8%, with altcoin perps — particularly AI-adjacent tokens — experiencing amplified moves of 10%–20% within short windows.

Distillation Attacks: The Underreported Variable

Chaudhry flagged what he called the most significant gap in the Brookings analysis: the underweighting of model distillation as a driver of Chinese AI efficiency gains. Distillation attacks involve systematically querying a frontier model, collecting its outputs, and using that data to train a competing system — effectively extracting proprietary capabilities without direct access to model weights. Both Anthropic and OpenAI have reported instances of this technique being deployed against their systems.

If US regulators respond to distillation concerns with API access restrictions or output licensing frameworks targeting frontier models, the downstream effect on AI-sector equities could be material. Historically, sharp drawdowns in Nasdaq-listed AI infrastructure names have preceded short-term BTC funding rate compression, as leveraged traders reduce overall risk exposure across books.

Robotics, Autonomous Systems, and the Physical AI Buildout

Brookings also documents China's aggressive integration of AI into physical systems — robotaxis, delivery drones, humanoid robots, smartphones, and wearables — rather than waiting for superintelligence milestones. This deployment-first strategy positions Chinese firms to capture industrial and consumer market share globally, independent of who wins the AGI race.

For crypto markets, the robotics and physical AI buildout is relevant primarily through its effect on token narratives. AI and DePIN (Decentralized Physical Infrastructure Network) tokens have demonstrated elevated beta to news cycles around autonomous systems and on-device AI deployment. As of Q2 2025, several AI-adjacent altcoins have shown open interest growth outpacing BTC on a relative basis during periods of positive AI sector newsflow, making them high-risk, high-volatility instruments during geopolitical AI headlines.