For a while, it seemed like the kind of transaction that grabbed the headlines. Nvidia, whose chips have powered much of the AI boom, is reportedly putting together a $100 billion investment in OpenAI, ChatGPT’s parent company. Big money, big ambition, big future. And then – it seems that it didn’t happen – the deal was just… not there.
Now reports are emerging that the much-touted alliance between the two heavyweights was not a “done deal,” even after months of hype and endless speculation.
As the Guardian reports, however, what many saw as a strong financial promise was actually fresh evidence of how vague some of the tech industry’s biggest promises have turned out to be in the AI economy.
The story kicked off a financial system that turned out to be a lot of money – money distributed to companies to buy other goods – but perhaps more shocking than anyone wanted to admit.
Here’s an uncomfortable question that’s starting to be asked: Was this ever the real deal, or was it nothing more than a confidence trick that’s now off the mark?
People briefed on the matter said Nvidia has already had some thoughts about the size and possible structure of the proposed investment, pushing back internally as the outside world thought everything was ready.
And when Reuters investigated further, the message was strong: Plans hit a wall, and enthusiasm within Nvidia was more muted than had been suggested.
Add more space and this looks like more than one deal gone wrong. It comes as investors have started to pump the brakes on AI exuberance.
The stock market may still be peaking and many economists can see fatigue underneath – high costs, uncertain returns and growing suspicions that not all bets on AI will pay off forever.
Bloomberg recently noted that the investor “love story” with artificial intelligence is yet to diminish, but the category of simple money can be made.
The difficulty that raises this proverb is human. Nvidia CEO Jensen Huang is said to be less impressed with OpenAI’s business model than public appearances might suggest.
Behind closed doors, he has been known to voice concerns about executions, costs and whether the economy is recovering.
That tension has long simmered, though industry observers have pointed out that flashy AI demos don’t guarantee viable businesses.
The technical reporting that taps into that internal power paints a picture of the realization of a prominent convention.
(If this all sounds strange, that’s because it is.) Economists and tech critics have been warning that parts of the AI boom look like past bubbles — the hype, the circular investment, the assumption that growth must continue to outpace costs.
Some argue that the US economy is too reliant on the valuation of AI as a silver bullet, with insufficient answers to the question of who really benefits when the dust settles.
That concern has been echoed in a broader analysis of economics that questions whether intelligence is also applied to business models.
So where does that leave us? Perhaps with a slightly wounded ego, but also perhaps with a bit of realism. The collapse – or quiet fizzle – of this $100 billion wonder doesn’t mean AI is over.
Far from it. But it does indicate that the age of talk is arguably waning, replaced by more serious conversations about value, risk and what is truly sustainable. And honestly? That may be exactly what the industry needs right now.
