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    New leaders, new fund: Sequoia has raised $7B to develop its AI bets

    Naveed AhmadBy Naveed Ahmad17/04/2026Updated:17/04/2026No Comments2 Mins Read
    Screen Shot 2023 01 13 at 3.33.43 PM


    Few enterprise companies have guess extra aggressively on AI than Sequoia Capital, and it isn’t slowing down.

    The Silicon Valley stalwart has raised roughly $7 billion for a brand new fund, in keeping with Bloomberg. Sequoia declined TechCrunch’s request for remark. The cash will go towards what the agency calls its “enlargement technique” — basically its late-stage investing arm, centered on the U.S. and Europe — and it’s almost double Sequoia’s final comparable fund, a $3.4 billion automobile raised in 2022.

    That progress in fund dimension displays one thing larger: late-stage investing has taken on a completely new which means within the AI period. Corporations can now scale at a velocity and price that will have been unimaginable a decade in the past, and the companies backing them must hold tempo.

    The cash alerts the place Sequoia sees the long run: deeply embedded in AI, from the giants constructing the underlying expertise to the startups placing it to work. The agency has backed two of probably the most outstanding gamers within the AI race — OpenAI initially and, extra lately, Anthropic — each of that are reportedly eyeing public listings in 2026. The event that would imply a major payday for the agency.

    Sequoia isn’t solely swinging for the foundational AI heavyweights, nevertheless. It has additionally positioned bets on different buzzy startups, together with Bodily Intelligence, the Bay Space robotics startup, and Manufacturing facility, which builds AI brokers for enterprise engineering groups.

    The fundraise can be the primary main capital increase beneath Sequoia’s new management, with Alfred Lin and Pat Grady now serving as co-stewards of the 54-year-old agency.

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    Naveed Ahmad

    Naveed Ahmad is a technology journalist and AI writer at ArticlesStock, covering artificial intelligence, machine learning, and emerging tech policy. Read his latest articles.

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