How the New Data War with China Compares to the Old Cold War with Russia — And Why We Are Already In It

Neil L. Rideout

10/16/20266 min read

How the New Data War with China Compares to the Old Cold War with Russia — And Why We Are Already In It

The Cold War between the United States and the Soviet Union defined the second half of the twentieth century. It was a contest of ideology, military power, spheres of influence, and technological supremacy that never erupted into direct great-power combat yet shaped nearly every aspect of global life. Today a new contest is underway, one that many still refuse to name. It is the Data War between the United States (and its allies) and the People’s Republic of China. The parallel is not perfect, but it is close enough to be instructive — and urgent. The Data War is already being fought. The only remaining questions are whether free societies will recognize it in time and whether they will organize themselves to prevail.

Ideology Then and Now

The Cold War was fundamentally an ideological struggle. The Soviet system rested on the claim that history moved inexorably toward communism, that the individual was subordinate to the collective, and that the Party alone possessed the knowledge and right to direct society. The American-led West answered with liberal democracy, individual rights, open markets, and the belief that free people produce better outcomes than centralized planners.

The Data War is also ideological, though the vocabulary has changed. China’s model is digital authoritarianism: the state claims the right and the capacity to collect, analyze, and weaponize data on a national scale in order to maintain social control, preempt dissent, and optimize economic outcomes according to Party priorities. The social credit system, pervasive surveillance, and the fusion of civilian and military data systems are not bugs; they are features. The competing model — still imperfectly realized in the West — holds that data belongs primarily to individuals and to competitive markets, that privacy and free expression are goods worth protecting, and that innovation flourishes when information flows more freely than the state prefers.

Where the Soviets sought to control the means of production, Beijing seeks to control the means of prediction and persuasion. The prize is no longer heavy industry or nuclear parity; it is the ability to model human behavior at population scale and to shape the information environment in which people make decisions.

The Arms Race Becomes a Data Race

During the Cold War the superpowers raced to build more accurate missiles, quieter submarines, more powerful computers, and more sophisticated reconnaissance systems. Each side assumed the other was doing the same and that falling behind could prove fatal. The result was an enormous diversion of resources into military and dual-use technology.

The Data War has its own equivalent race. The critical domains are semiconductors, advanced AI models, quantum computing, 5G/6G infrastructure, satellite constellations, biotech data, and the physical infrastructure of the internet itself. China’s Made in China 2025 and subsequent industrial policies were explicit attempts to achieve dominance or at least parity in these areas. The United States has responded with export controls on advanced chips and manufacturing equipment, the CHIPS and Science Act, outbound investment screening, and growing restrictions on Chinese access to American cloud and research ecosystems. These measures are the modern equivalents of CoCom controls and the technology denial regimes of the 1970s and 1980s.

The difference is speed and breadth. A single advanced AI training run can now consume more electricity than a small city and generate models whose capabilities were science fiction a decade ago. The side that first achieves reliable, scalable artificial general intelligence — or even decisive advantage in narrow but strategically critical domains such as logistics optimization, cyber offense, or autonomous systems — will possess leverage that nuclear weapons never conferred. Nuclear weapons deter; superior data and AI can shape the battlefield, the marketplace, and the information space in real time.

Proxies, Gray Zones, and the Absence of Direct Combat

The Cold War was fought through proxies: Korea, Vietnam, Afghanistan, Angola, Nicaragua. Direct U.S.–Soviet combat was avoided because both sides understood the risk of escalation to nuclear war. The Data War operates under similar constraints. Open kinetic conflict between the United States and China remains extremely costly and therefore unlikely in the near term. Instead the contest unfolds in the gray zone: intellectual property theft on an industrial scale, cyber operations against critical infrastructure, influence campaigns targeting democratic elections and social cohesion, the construction of alternative digital ecosystems (Huawei, TikTok, WeChat, BeiDou), and the quiet conditioning of global standards bodies and supply chains.

TikTok is the most visible example. A platform that shapes the information diet of hundreds of millions of young people in free societies is ultimately subject to Chinese law and Party oversight. That is not a normal commercial arrangement; it is a vector of influence. The same logic applies to Chinese-manufactured telecommunications equipment in Western networks, Chinese-owned ports and logistics nodes, and Chinese research partnerships that transfer sensitive dual-use knowledge. These are the new proxy battlegrounds.

Alliances and the Splintering of the Global Commons

NATO, the hub-and-spoke system of Asian alliances, and the broader network of democratic partners were the West’s answer to Soviet expansion. The Data War is producing its own alliance architecture, still incomplete and contested. The Quad, AUKUS, the Chip 4 discussions, export-control coalitions, and efforts to build trusted cloud and semiconductor supply chains are early attempts to create a “free world” technology stack. Simultaneously, China is building the Digital Silk Road, promoting its technical standards, and offering developing countries surveillance-ready infrastructure under the banner of connectivity.

The result is a gradual bifurcation of the digital world. One ecosystem prioritizes openness, privacy protections (however imperfect), and interoperability under democratic rules. The other prioritizes state control, data localization, and the export of authoritarian tools. Countries that once treated technology as a neutral global commons are being forced to choose. The non-aligned movement of the Cold War has a digital successor: nations trying to extract benefits from both sides while avoiding hard commitments. That strategy is becoming harder to sustain.

Economic Interdependence as a Constraint — and a Weapon

The classic Cold War featured limited economic interdependence. The Soviet bloc was largely autarkic by design and by Western policy. Today the United States and China remain deeply entangled in trade, investment, and supply chains even as strategic rivalry intensifies. This interdependence is both a brake on escalation and a battlefield. Decoupling is partial, painful, and selective. “De-risking” has become the preferred term because full separation is neither feasible nor desirable for either side in the short run.

Yet interdependence cuts both ways. China’s dominance in rare earth processing, solar panels, electric vehicle batteries, and certain pharmaceutical ingredients gives it leverage. America’s continued lead in the highest-end semiconductors, software, and financial markets gives it leverage. The Data War is therefore partly a contest over who can weaponize interdependence more effectively while reducing their own vulnerabilities.

Why This Is Already a War

Skeptics argue that “war” is hyperbolic. There are no formal declarations, no mass mobilizations, no body counts measured in the traditional way. That is true — and irrelevant. The Cold War was also not a declared shooting war between the principals for most of its duration. It was a sustained, high-stakes competition for relative power in which technology, ideology, intelligence, and economic capacity were decisive.

We are already in the Data War by the same standard. The United States has imposed sweeping technology export controls that treat advanced computing as a strategic asset on par with nuclear materials. China has responded with its own controls, with intensified domestic substitution efforts, and with continued campaigns of cyber espionage and talent recruitment. Both sides are investing hundreds of billions in the underlying infrastructure. Both sides are rewriting rules of engagement for research collaboration, investment screening, and platform regulation. Both sides treat the information space as a domain of conflict. When the two largest economies on earth reorganize their most advanced industries around the assumption of strategic rivalry, the rivalry is no longer theoretical.

The human cost is already visible in slower scientific collaboration, higher prices for consumers in some sectors, the chilling of certain research partnerships, and the growing suspicion that every major technology choice has geopolitical weight. Those costs will rise. The alternative — continuing to pretend that data and AI are purely commercial domains while one side systematically seeks dominance — is more dangerous still.

Lessons from the Last Contest

The Cold War ended without nuclear exchange in significant part because the West maintained technological and economic superiority long enough for the Soviet system’s internal contradictions to become unsustainable. Containment, competitive innovation, alliances, and a refusal to accept the permanence of the adversary’s model proved decisive.

Those lessons apply. The free world does not need to match every Chinese industrial policy or surveillance technique. It needs to protect its core advantages in talent, capital markets, open inquiry, and alliance depth while denying China easy access to the technologies that would allow it to leapfrog. It needs to treat data governance, semiconductor capacity, and AI safety as matters of national and alliance security rather than purely commercial or academic questions. And it needs to make the case, repeatedly and without apology, that a world ordered by digital authoritarianism is less free, less innovative, and less secure than one ordered by open societies.

The Data War will not be won by a single breakthrough or a single policy. It will be won — or lost — by sustained attention, by the willingness to accept short-term economic friction for long-term strategic resilience, and by the recognition that the contest is already underway. History does not always announce its turning points with trumpet blasts. Sometimes it arrives as a series of technical standards, export licenses, and platform algorithms. We are living through one of those moments. The sooner we treat it with the seriousness it deserves, the better our chances of emerging with our open societies intact.

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