London and Paris are emerging as Europe’s strongest contenders in the global artificial intelligence race, combining the French capital’s state-backed push for AI sovereignty with London’s deep pool of private capital, startups and talent.
But despite their growing influence, both cities remain well behind the leading AI hubs in the US and Asia. The biggest obstacle is increasingly clear: Europe lacks the computing power and semiconductor capacity needed to compete at scale.
The gap is highlighted by the first Observer AI Cities Index, which ranks 57 cities across 36 countries using 50 indicators covering AI investment, innovation and implementation. San Francisco leads by a wide margin, followed by New York and Seoul, with Beijing fourth. Paris ranks fifth and London sixth, separated by just 0.19 points.
Two different models of AI growth
London and Paris have developed their AI sectors in markedly different ways.
Paris has benefited from substantial government support and a strategy focused on technological sovereignty. President Emmanuel Macron has made AI a national priority, backing investment in infrastructure and companies such as Mistral, Europe’s largest AI company, which was valued at $14 billion in 2025.
Mistral has positioned itself around open-source AI models and has received strong political backing from the French government. In 2025, Macron’s administration also helped secure a partnership between Nvidia and Mistral aimed at improving access to AI infrastructure.
Paris is also becoming an important centre for AI research. Engineers based in the city have produced around 3% of the top models uploaded to Hugging Face, while Parisian inventors have secured 4,569 AI-related patents since 2021, more than any other European city.
The city also has a major energy advantage. France’s extensive nuclear power capacity provides relatively abundant, low-carbon electricity at a time when advanced AI systems and data centres require enormous amounts of energy.
London, by contrast, has built its position around private investment and entrepreneurship.
London’s capital and talent advantage
London has 766 AI company headquarters, the second-highest number of any city after San Francisco. Seventeen of those companies are unicorns, and the sector has attracted more than £18 billion in funding.
The city has also advertised more than 5,000 AI-related jobs so far in 2026, compared with 2,814 in Paris during the same period, according to research firm PredictLeads.
Gabriel Hubert, founder of Paris-based AI assistant startup Dust, recently opened an office in London following a $40 million Series B funding round. He says the city’s advantage lies in the network connecting investors, entrepreneurs and researchers.
“London’s lead is in this connective tissue,” Hubert says.
The capital is home to nine universities ranked among the world’s leading institutions for computer science, as well as research labs and thinktanks focused on AI. The city’s talent pool has also been strengthened by longstanding links with Paris, including through Google’s DeepMind.
Despite Brexit, researchers continue to move between the two cities, with London attracting graduates from institutions such as Université Paris-Saclay and École Polytechnique.
A wider European AI race
The two capitals are part of a broader shift in the geography of AI. East Asia accounts for six of the top 10 cities in the Observer index, with Seoul, Beijing and other Chinese technology centres benefiting from large-scale state investment and established semiconductor industries.
Elsewhere, Gulf cities such as Abu Dhabi and Dubai are using sovereign wealth and government spending to build AI infrastructure rapidly. Abu Dhabi, ranked 11th, is seeking to generate 20% of its non-oil GDP from AI by 2031 and has invested heavily in data centres and research.
China’s Hangzhou, meanwhile, has emerged as a major centre for open-source AI. The home of Alibaba and a growing ecosystem around companies such as DeepSeek ranks second globally for AI development in the index and is increasingly challenging established technology hubs.
For Europe, London and Paris therefore face competition not only from Silicon Valley but from governments and cities willing to deploy enormous amounts of public capital to build AI capacity.
The missing ingredient: compute
The strongest potential advantage of a London-Paris partnership is that the two cities complement each other.
London provides access to capital, startups and international talent, while Paris has stronger government backing, energy resources and infrastructure for sovereign AI development.
But both face the same fundamental weakness: compute.
Europe produces less than 10% of the world’s semiconductors, while almost 80% of suppliers to European companies are based outside the continent. London and Paris together have just 27 semiconductor companies, fewer than technology centres such as Bengaluru, Tel Aviv and Austin.
That leaves Europe dependent on foreign suppliers for the chips and processing capacity required to train and operate increasingly sophisticated AI systems.
For Gabriel Hubert, expanding from Paris to London is a practical response to those realities. London provides access to customers, global markets and investors, while Paris offers an environment increasingly shaped by national investment in AI.
The two cities may not yet be able to challenge San Francisco, Seoul or Beijing individually. But their combination of capital, research, talent, energy and government support could give Europe a stronger position in the global AI race — provided the continent can overcome its dependence on computing infrastructure and semiconductors.
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