Caught in the Crossfire: Europe’s Role in the US-China AI Race
The race for artificial intelligence dominance is no longer confined to research labs or tech startups—it is a battle between nations. The world’s next superpower will not be decided by military might alone but by who dominates AI. And right now, that battle is a two-horse race between the US and China.
They have emerged as the world’s AI superpowers, pouring billions into development to secure technological supremacy. In January, three of the US’s top tech titans—OpenAI’s Sam Altman, SoftBank’s Masayoshi Son, and Oracle’s Larry Ellison—unveiled a historic partnership called Stargate. Announced at the White House alongside President Donald Trump, Stargate will begin with an initial $100 billion investment, with plans to expand to $500 billion in the coming years. The project is set to build both physical and virtual AI infrastructure, with a one-million-square-foot data centre already under construction in Texas. Trump hailed it as the “largest AI infrastructure project in history.”
China, meanwhile, has doubled down on its ambitions. The Chinese government recently launched an $8.2 billion AI investment fund in response to US trade controls that have tightened access to critical semiconductors. Companies like Baidu, DeepSeek, and the “Six Tigers”—Stepfun, Zhipu, Minimax, Moonshot, 01.AI, and Baichuan—are leading the charge. Some focus on consumer applications, while others are pushing ahead with foundational research despite US restrictions. Together, these efforts reflect China’s goal of dominating the global AI landscape.
Europe: Falling Behind, But Not Out
While the US and China push forward, another global power is at risk of being sidelined: Europe. Unlike its rivals, Europe has struggled to consolidate its AI ambitions into a singular strategy. Now, the stakes have never been higher.
Falling behind could leave the continent dependent on foreign technologies, exposing it to risks ranging from cybersecurity vulnerabilities to economic reliance on US and Chinese AI giants. AI is no longer just about innovation—it is a new form of geopolitical power. In this new world order, Europe must decide whether it wants to be a leader or a spectator.
There are signs of a fightback. French President Emmanuel Macron recently announced a €109 billion private-sector AI investment, marking the most ambitious AI funding move in Europe’s history. The plan aims to supercharge France’s domestic AI ecosystem, building research hubs and funding AI tailored to European needs. Macron has called on other European nations to follow suit, warning that fragmented efforts will not be enough.
But his bold vision only underscores the EU’s broader problem: a lack of unified strategy. The US and China thrive on cohesion—AI development is powered by centralised markets and state-backed strategies. Without similar unity, Europe will struggle to compete.
Why Europe is Struggling to Compete
Despite its strengths—world-class universities, deep tech expertise, and a reputation for progressive regulation—Europe lags behind.
Underinvestment remains a key barrier. While the US and China pour tens of billions into AI annually, Europe’s funding levels remain modest. Macron’s €109 billion plan is significant, but even this pales in comparison to Stargate’s $500 billion roadmap or China’s state-backed AI expansion.
Fragmentation is another major challenge. Unlike the US or China, Europe’s markets are divided by national borders, languages, and regulatory discrepancies. This lack of cohesion prevents AI companies from scaling quickly. Initiatives like Gaia-X—a European data infrastructure project—are promising but incomplete.
Bureaucracy is slowing progress. Regulatory complexity and slow-moving decision-making leave European AI startups at a disadvantage. While American and Chinese firms secure funding in weeks, European startups often wait months, if not years, for approvals and investment.
Europe is not just losing the AI race—it is exporting its best players to the competition. Silicon Valley and Shenzhen roll out the red carpet for Europe’s brightest minds, offering them funding, resources, and fewer bureaucratic hurdles. Without decisive action, Europe will not just fall behind—it will be left out of the race entirely.
What Europe Can Do to Step Up
Europe can still compete, but not by simply trying to catch up. Instead of attempting to match the US and China dollar-for-dollar, Europe should carve out its own lane, playing to its unique strengths.
The first step is to increase investment in homegrown AI. Macron’s plan is a strong start, but a broader EU-wide initiative is needed. Europe must increase public funding and expand public-private partnerships to unlock more investment while ensuring public interests remain a priority.
Creating a unified AI market is equally critical. Europe’s fragmentation is holding it back, and a Single AI Market—modelled after the EU’s Single Market for goods and services—would allow AI startups to scale rapidly without being constrained by national borders. Additionally, Gaia-X, Europe’s attempt at creating a sovereign AI ecosystem, must be accelerated. Right now, it is too slow and too small. It needs to expand aggressively to compete with US and Chinese cloud infrastructure.
Europe must also focus on retaining and attracting AI talent. It cannot afford to continue losing its best researchers to the US and China. AI scholarships, research grants, and funding for early-stage innovation are essential. Expanding tech incubators and AI hubs will also help nurture talent. Additionally, a fast-track visa system for AI researchers and engineers could bring in global expertise to strengthen Europe’s AI ecosystem.
Instead of chasing the American “move fast and break things” model or China’s state-controlled approach, Europe should lead in ethical AI. Imagine an AI ecosystem where privacy is not an afterthought but a foundation, where AI is not just about consumer convenience but is actively used to solve real challenges like climate change, healthcare, and education. Europe is already a leader in responsible AI, thanks to the AI Act. But regulations alone will not win the race. The EU must turn ethical AI into a competitive advantage—one that attracts talent, businesses, and global trust.
Conclusion: A Defining Moment for Europe
The US-China AI rivalry is reshaping the world’s technological landscape. For Europe, the question is not whether it should compete—it is whether it can act fast enough to stay relevant.
Macron’s €109 billion investment is a wake-up call. But there is no time to hit snooze. If Europe does not act now, it will not just be left behind—it will be forced to rely on the decisions, technologies, and priorities of others.
The next five years will determine Europe’s fate in AI. It must choose to lead, or risk being led by those who set the global AI agenda. Time is running out.
List of references
Browne, Ryan. “France Unveils 109-Billion-Euro AI Investment as Europe Looks to Keep up with U.S.” CNBC, CNBC, 10 Feb. 2025, www.cnbc.com/2025/02/10/frances-answer-to-stargate-macron-announces-ai-investment.html.
Chen, Caiwei. “Four Chinese Ai Startups to Watch beyond DeepSeek.” MIT Technology Review, MIT Technology Review, 4 Feb. 2025, www.technologyreview.com/2025/02/04/1110942/four-chinese-ai-startups-deepseek/.
Duffy, Clare. “Trump Announces a $500 Billion AI Infrastructure Investment in the US | CNN Business.” CNN, Cable News Network, 22 Jan. 2025, edition.cnn.com/2025/01/21/tech/openai-oracle-softbank-trump-ai-investment/index.html.
Jiang, Ben. “China Creates US$8.2 Billion AI Investment Fund amid Tightened US Trade Controls.” South China Morning Post, 20 Jan. 2025, www.scmp.com/tech/big-tech/article/3295513/tech-war-china-creates-us82-billion-ai-investment-fund-amid-tightened-us-trade-controls.
Reuters. “Chinese Researchers Develop AI Model for Military Use on the Back of Meta’s Llama, Reuters Reports.” CNBC, CNBC, 1 Nov. 2024, www.cnbc.com/2024/11/01/chinese-researchers-build-ai-model-for-military-use-on-back-of-metas-llama.html.
“United States, China, and United Kingdom Lead the Global AI Ranking According to Stanford Hai’s Global AI Vibrancy Tool.” Business Wire, 21 Nov. 2024, www.businesswire.com/news/home/20241121006002/en/United-States-China-and-United-Kingdom-Lead-the-Global-AI-Ranking-According-to-Stanford-HAI%E2%80%99s-Global-AI-Vibrancy-Tool.
“X Explained - Gaia-X Hub Germany.” Gaia, 24 Sept. 2024, gaia-x-hub.de/en/gaia-x-explained/.
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