This former notorious red-light district is now one of the world’s top AI hubs
King's Cross in London, once notorious for drugs and prostitution in the 1980s, has become one of the world's leading artificial intelligence hubs, ranking alongside San Francisco and Beijing. Since Google DeepMind moved there in 2016, the area now known as the "Knowledge Quarter" has attracted major AI players including OpenAI, Meta, Anthropic and Isomorphic Labs, drawn by the concentration of talent, proximity to University College London, and good transport links to Cambridge and Paris.
Demand for office space has surged, with prime rents in King's Cross rising 18% over the past three years and the vacancy rate for conventional offices falling to just 0.9%, according to Knight Frank. London now hosts around 3,600 AI startups, which have collectively raised roughly $12.1 billion of the $14.8 billion raised citywide since late July, per Dealroom data, while AI firms have leased over one million square feet of office space since June. The area's rapid growth has also sparked debate about technological sovereignty, particularly after Anthropic restricted access to some products this summer, prompting local investors to push for greater UK self-reliance in AI.
- King's Cross has become a top global AI hub, rivalling San Francisco and Beijing
- Area was once notorious for drugs and prostitution before 2000s redevelopment
- Office demand has driven rents up 18% and vacancy down to 0.9%
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King's Cross in London spent decades associated with crime and street prostitution, particularly around its railway station, before a long redevelopment turned the area into what's now branded the "Knowledge Quarter." A turning point came in 2016 when Google DeepMind, a leading artificial intelligence research company, set up its headquarters there, drawing other AI firms in its wake.
Since then, the neighbourhood has attracted some of the biggest names in AI, including OpenAI, Meta, Anthropic and Isomorphic Labs. Its appeal lies in a mix of skilled workers, closeness to University College London, and fast rail links to Cambridge and Paris, all of which make it easier for AI companies to find talent and collaborate with researchers elsewhere.
This shift matters because it shows how quickly a once-troubled district can become a magnet for a fast-growing global industry, with knock-on effects for property prices, investment and jobs. It also feeds into wider questions about Britain's standing in the AI race, including how much the country can rely on its own capabilities rather than depending on foreign technology firms.
Both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Advocates of the current open, globally integrated model argue that King's Cross's rise shows the benefits of free capital and talent flows: by welcoming Google DeepMind, OpenAI, Meta, Anthropic and others without protectionist barriers, London has captured jobs, investment and prestige it could never have built alone. They contend that hosting world-leading labs, even foreign-owned ones, still generates local economic value through property demand, high-skilled employment, university partnerships and spillover startups, and that trying to force domestic ownership risks deterring the very investment that made the Knowledge Quarter a success in the first place.
The case against
Those concerned about technological sovereignty argue that reliance on foreign-controlled AI giants leaves Britain strategically exposed, as demonstrated when Anthropic's decision to restrict access to some products this summer showed how quickly external firms can withdraw or limit critical technology beyond UK control. They believe the government and investors should actively build homegrown AI champions and infrastructure, arguing that genuine economic and national security requires the UK to own and control the technology it depends on, rather than merely hosting the offices of companies headquartered elsewhere.