China-US Algorithmic Cold War and Europe’s Strategic Dilemma

China’s creation of the World Artificial Intelligence Cooperation Organization (WAICO) in Shanghai in July this year was a demonstration of Beijing’s growing ambition to shape the rules, standards, and partnerships that will govern the next phase of the digital economy. The agreement establishing WAICO was signed by Chinese Foreign Minister Wang Yi, while the UN Secretary-General António Guterres attended the ceremony. Indonesia, Brazil, Russia, and a number of countries across Asia, Africa, and Latin America joined as founding members. Not a single EU member joined the group.

That divide matters. China is increasingly presenting itself not simply as an alternative supplier of artificial intelligence, but as an alternative center of AI governance. Beijing’s concept is built around sovereignty, development, and technological access rather than the liberal-democratic assumptions that underpin much of the Western debate over AI governance. WAICO provides that concept with an institutional vehicle.

For Europe, the question is whether it can preserve the technological and strategic autonomy while navigating between an increasingly assertive China and America, which itself is turning AI supply chains into instruments of geopolitical alignment. The emerging contest may therefore be less a straightforward technological Cold War between Washington and Beijing, and more a struggle over who gets to define the architecture of the digital age and whether Europe can remain an actor rather than becoming a market.

China’s AI Diplomacy

Beijing’s growing influence in AI rests on more than the rapid improvement of its domestic technology companies. China has developed an increasingly integrated ecosystem encompassing models, cloud computing, semiconductors, data infrastructure, and industrial applications. The recent release of Moonshot’s Kimi K3 illustrates this trajectory. The open-weight model contains 2.8 trillion parameters and uses a Mixture-of-Experts architecture designed to deliver frontier-level capabilities with a fraction of the computational resources that would otherwise be required.

The strategic importance of such models lies not only in their performance. Open-weight systems can travel across borders more easily than proprietary platforms. They can be adapted locally, deployed on different infrastructure, and integrated into domestic ecosystems without the same dependence on a single foreign provider. That gives China an unusual geopolitical opportunity. While the US continues to enjoy enormous advantages in frontier computing, semiconductor design, and leading proprietary AI models, China can compete through a different combination of affordability, open models, hardware substitution, and state-backed technological diplomacy.

WAICO adds an institutional dimension to that strategy. Its founding members span across Asia, Africa, Latin America, and other parts of the Global South. The organization’s stated purpose is to promote international cooperation and global AI governance, but its location, membership, and timing also give Beijing an opportunity to influence debates over standards and governance at a moment when the international system has yet to settle on a common model. This does not mean that every WAICO member has joined a Chinese geopolitical bloc. Their motivations vary, and many are likely pursuing access to technology, investment, and international cooperation rather than ideological alignment with Beijing.

But that is precisely what makes China’s approach potentially effective. Influence does not always require formal allegiance. It can emerge through infrastructure, standards, supply chains, technical expertise, and institutional relationships. Once those systems become embedded in national economies, switching providers can become expensive and politically difficult. China’s AI diplomacy is therefore not simply about exporting technology, but also about shaping the technological environment in which other countries make future choices.

Europe’s Strategic Dilemma

Unlike many developing countries, the EU possesses considerable regulatory, economic, and institutional power. It has also developed one of the world’s most ambitious frameworks for governing artificial intelligence. The EU’s AI Act transparency requirements began applying in August 2026, while the implementation of some high-risk AI rules has been extended to 2027 and 2028. 

But regulation alone does not create technological sovereignty. Recognizing this, the European Commission adopted a Technological Sovereignty Package in June 2026, including proposals for Chips Act 2.0 and a Cloud and AI Development Act, alongside an EU Open-Source Strategy. The stated objective is to strengthen Europe’s ability to control critical technologies, data, and infrastructure while reducing excessive reliance on non-European providers.

This is where China’s AI rise becomes directly relevant to European foreign policy. Europe has long sought to avoid excessive strategic dependence. Its approach toward China has increasingly been framed as “de-risking” rather than decoupling: reducing critical vulnerabilities while maintaining economic and diplomatic engagement. AI makes that balancing act considerably harder. If European governments and companies adopt Chinese AI models, cloud services, or other components of China’s digital ecosystem, they may gain access to competitive and relatively affordable technologies. But they may also increase exposure to Chinese technological standards, infrastructure, and supply chains.

The alternative is not necessarily straightforward. The US remains the dominant provider of many of the technologies underpinning advanced AI, from leading semiconductor design to frontier computing, and cloud infrastructure. Europe therefore faces a paradox: reducing dependence on China could increase dependence on American technology unless Europe simultaneously builds greater indigenous capacity. This is why the AI competition is forcing Europe to rethink the meaning of strategic autonomy.

The Global South’s Narrowing Room for Maneuver

But the consequences may extend well beyond Europe. Countries such as Indonesia and Brazil are already attempting to benefit from technological competition without becoming subordinate to either side. Indonesia’s decision to join WAICO while maintaining major technology relationships with American companies illustrates this balancing strategy. 

This is not necessarily strategic ambiguity, but rather strategic diversification. For middle powers, choosing one technological bloc too early could create long-term dependency. Maintaining several partnerships can preserve bargaining power and allow governments to extract benefits from competing ecosystems. But the room for such maneuver may be shrinking. The more AI becomes intertwined with semiconductor supply chains, cloud infrastructure, critical minerals, and national security, the harder it will become for countries to remain simultaneously connected to competing technological systems.

That is why Europe’s choices matter to the Global South as well. If Europe develops a credible third path, combining technological sovereignty, open markets, regulatory safeguards and diversified partnerships, it could provide middle powers with an alternative to choosing between Washington and Beijing. If it fails, the world may instead move toward two increasingly incompatible digital ecosystems.

Beyond the Algorithmic Cold War

The emerging AI competition will not necessarily resemble the Cold War in its traditional form. There may be no clear Iron Curtain separating two completely independent technological worlds. Economic interdependence is too deep, and neither the US nor China controls the entire AI supply chain. The more plausible outcome is a fragmented digital order in which models, chips, cloud infrastructure, standards, data, and critical minerals increasingly acquire geopolitical identities.

China’s strategy is central to that transformation. Through WAICO, open-weight models, and the expansion of its wider digital ecosystem, Beijing is seeking not only technological competitiveness but greater influence over the rules and institutions surrounding AI. Europe now faces a strategic choice of its own. It can treat China’s AI expansion primarily as a regulatory problem, attempting to shield the European market from unwanted dependencies. Or it can treat it as a broader geopolitical challenge and use the moment to build genuine technological capacity, diversify external partnerships, and strengthen Europe’s ability to set its own terms.

The future of the digital order may ultimately depend less on whether China or the US wins the AI race than on whether other major actors retain enough autonomy to prevent the race from becoming a binary choice. For Europe, strategic autonomy will therefore mean more than reducing dependence on China. It will mean having enough technological capacity and geopolitical room to say no to both Beijing and Washington when necessary, and yes to either when doing so serves European interests. That may be the real beginning of the algorithmic Cold War: not a world divided neatly into two camps, but a contest in which every major power is being forced to decide how much of its digital future it is willing to entrust to someone else.