The battle for artificial intelligence talent has reached what industry insiders are calling "sports team level economics," a new report in The Times claims. 

As U.S. giants Anthropic and OpenAI aggressively expand their London footprints, the cost of hiring elite engineers is reaching levels that threaten to sideline even the most successful local "unicorns." 

Anthropic is currently advertising for machine learning research engineers in London with base salaries of up to £630,000 ($780,000). When stock options and bonuses are factored in, the total compensation package moves closer to the million-dollar mark—nearly five times the average salary for a senior UK engineer. 

With Anthropic scaling to a new 800-person office in King's Cross and OpenAI doubling its headcount to over 500, London’s "Knowledge Quarter" has become an impossibly expensive neighborhood for startups to recruit in.

The distortion of the market is forcing local founders to get creative. “The salaries are brutal,” one startup founder told The Times in the report, noting that they are often forced to raise funding rounds prematurely just to afford a single senior hire. 

“I need to raise a funding round sooner just to hire one senior person. When you have to hire, and you know OpenAI is next door, you have to be prepared to offer an insane package.” 

According to The Times report, to fight back, some UK-based firms are shifting their strategy. Jeremy Fraenkel, CEO of Fundamental AI, has moved his European team to Barcelona, hoping the city's high quality of life and lack of AI competition will keep talent loyal. Others, like Meryem Arik of Doubleword, are bypassing the expensive AI degree pool altogether, hiring top-tier physics and mathematics graduates and training them on the job. 

While the expansion of U.S. labs confirms London as a global AI hub, it creates a "winner-take-all" dynamic where only the most heavily capitalized firms can afford the architects of the next technological wave. 

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TechloyDavid Adubiina