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    Home»News»The $100 Billion AI Deal That Quietly Vanished
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    The $100 Billion AI Deal That Quietly Vanished

    Amelia Harper JonesBy Amelia Harper JonesFebruary 5, 2026No Comments3 Mins Read
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    For a time, it appeared to be the sort of transaction that writes the headlines. Nvidia, whose chips have powered lots of the AI growth, reportedly lining up an eye-popping $100 billion funding into OpenAI, ChatGPT’s father or mother firm. Massive cash, large ambition, large future. After which – seemingly out of nowhere –  the deal was simply … not there.

    Now experiences are rising that the much-hyped alliance between the 2 heavyweights was by no means fairly a “carried out deal,” even after months of buzz and breathless hypothesis.

    As The Guardian experiences, nonetheless, what many assumed to be a stable monetary pledge was truly rather more nebulous-the newest proof of how obscure a number of the tech business’s greatest guarantees have turned out to be within the AI financial system.

    The story pulled again the curtain on a financing scheme that had appeared fairly nifty – cash circulated amongst firms to purchase each other’s wares – however maybe shakier than virtually anybody needed to acknowledge.

    Right here’s the uncomfortable query that’s beginning to be requested: Was this ever an actual deal, or was it nothing however a confidence trick that has now run out of marks?

    Individuals briefed on the matter stated Nvidia had come to have second ideas concerning the measurement and doable construction of its proposed funding, pushing again internally even because the world exterior presumed that all the things was set in place.

    And when Reuters investigated additional, the message was stark: The plans had hit a wall, and enthusiasm inside Nvidia was considerably extra muted than the hype prompt.

    House out a bit extra and this looks like multiple deal gone mistaken. It comes simply as traders have begun pumping the brakes on AI exuberance.

    The inventory market might nonetheless be a peak and lots of economists can see fatigue below the floor – greater prices, unsure returns and a rising suspicion that not each wager on AI will pay out eternally.

    Bloomberg lately famous that the investor “love affair” with synthetic intelligence has but to abate, however the easy-money part is likely to be carried out.

    The awkwardness that elevates this saga is the human one. Nvidia CEO Jensen Huang is alleged to have been a lot much less impressed with OpenAI’s enterprise mannequin than public appearances might need prompt.

    Behind closed doorways, he has been recognized to voice considerations about execution, prices and whether or not the economics truly pencil out.

    That stress has been simmering beneath the floor for a while, although business observers have identified that flashy AI demos don’t assure viable companies.

    Tech reporting that will get into these inner dynamics paints an image of warning assembly ambition head-on.

    (If this all feels vaguely acquainted, that’s as a result of it’s.) Economists and tech critics have been sounding the alarm that components of the A.I. growth look loads like bubbles previous – overhyping, round funding, the idea that development is certain to maintain pacing forward of prices.

    Others contend that the US financial system is leaning an excessive amount of on AI scaling as a silver bullet, with inadequate solutions to the query of who actually advantages when the mud settles.

    That concern has been echoed in broader financial commentary questioning out loud if intelligence is being utilized to the enterprise fashions, as nicely.

    So the place does that go away us? Maybe with a barely bruised ego, but in addition possibly with a bit extra realism. The autumn – or quiet fizzle – of this $100 billion mirage does not imply AI is finished.

    Removed from it. But it surely does point out that the age of unquestioned hype is dwindling, to get replaced by tougher discussions about worth, threat and what’s truly sustainable. And truthfully? That is likely to be simply what the business wants at this second.

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