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    AI Trade Rivals Are Teaming Up on a Startup Accelerator

    Naveed AhmadBy Naveed Ahmad11/02/2026Updated:11/02/2026No Comments4 Mins Read
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    The most important western AI labs are taking a break from sniping at each other to associate on a brand new accelerator program for European startups constructing purposes on high of their fashions. Paris-based incubator Station F will run this system, named F/ai.

    On Tuesday, Station F introduced it had partnered with Meta, Microsoft, Google, Anthropic, OpenAI and Mistral, which it says marks the primary time the companies are all collaborating in a single accelerator. Different companions embrace cloud and semiconductor corporations AWS, AMD, Qualcomm, and OVH Cloud.

    An accelerator is successfully a crash course for early-stage startups, whereby founders attend courses and lectures, seek the advice of with specialists, and obtain introductions to potential buyers and clients. The broad goal is to assist startups deliver concepts to market as rapidly as potential.

    The 20 startups in every F/ai cohort will bear a curriculum geared particularly towards serving to European AI startups generate income earlier of their lifecycle, in flip making it simpler to safe the funding required to broaden into the biggest world markets. “We’re specializing in speedy commercialization,” says Roxanne Varza, director at Station F, in an interview with WIRED. “Buyers are beginning to really feel like, ‘European corporations are good, however they’re not hitting the $1 million income mark quick sufficient.’”

    The accelerator will run for 3 months, twice a 12 months. The primary version started on January 13. Station F has not revealed which startups make up the cohort, however many have been really helpful by Sequoia Capital, Common Catalyst, Lightspeed, or one of many different VC companies concerned in this system. The startups are all constructing AI purposes on high of the foundational fashions developed by the partnering labs, in areas starting from agentic AI to procurement and finance.

    In lieu of direct funding, collaborating founders will obtain greater than $1 million in credit that may be traded for entry to AI fashions, compute, and different companies from the associate companies.

    With only a few exceptions, European corporations have up to now lagged behind their American and Chinese language counterparts at each stage of the AI manufacturing line. To attempt to shut that hole, the UK and EU governments are throwing tons of of thousands and thousands of {dollars} at makes an attempt to assist homegrown AI companies, and develop the home knowledge heart and energy infrastructure needed to coach and function AI fashions and purposes.

    Within the US, tech accelerators like Y Combinator have produced a crop of family names, together with Airbnb, Stripe, DoorDash, and Reddit. OpenAI was itself established in 2015 with the help of funding from Y Combinator’s then analysis division. Station F intends for F/ai to have the same affect in Europe, making home AI startups aggressive on the worldwide stage. “It’s for European founders with a world ambition,” says Varza.

    This system additionally represents an opportunity for the US-based AI labs to sow additional seeds in Europe, utilizing subsidies to incentivize a brand new technology of startups to construct atop their applied sciences.

    As soon as a developer begins to construct on high of a selected mannequin, it’s hardly ever simple to swap to an alternate, says Marta Vinaixa, associate and CEO at VC agency Ryde Ventures. “Whenever you construct on high of those programs, you’re additionally constructing for the way the programs behave—their quirkiness,” she says. “When you begin with a basis, at the very least for a similar undertaking, you’re not going to vary to a different.”

    The sooner in an organization’s lifecycle it begins to develop on high of a selected mannequin, says Vinaixa, the extra that impact is magnified. “The earlier that you simply begin, the extra that you simply accumulate, the harder it turns into,” she says.



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    Naveed Ahmad

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