Despite some recent momentum over the past few days, Nvidia NVDA is still battling negative market conditions. Halfway through this week, the artificial intelligence (AI) leader is back to struggling and isn’t showing signs of a rebound.
Right now, Nvidia is facing new complications, as new environmental curbs from the Chinese government threaten its sales in a booming AI chip market. But even after the company unveiled multiple new innovations at Nvidia GTC (Global Technology Conference) 2025 last week, shares remain in the red for the month.
Granted, the market is highly volatile right now, as high economic uncertainty, spurred by recent tariffs, continues to fuel talk of a bear market.
Wall Street optimism towards Nvidia remains generally high. However, one expert predicts that things are about to get worse.
Even in a period of high volatility, it’s typically hard to find too many experts who aren’t optimistic about Nvidia’s future. After all, the company has ridden the AI boom to unprecedented heights, helping usher in a new era for the tech sector.
In addition to its broad share of the AI chip market, Nvidia is expanding into quantum computing at a time when the technology is making notable strides. IonQ (IONQ) chairman Peter Chapman recently stated that he believes Nvidia’s quantum exposure is a reason not to bet against it, given the potential for a profitable intersection of quantum and AI.
Related: Quantum computing leader has blunt 9-word take on Nvidia stock
Another tech leader isn’t so convinced, though. Tory Green is CEO of GPU (graphics processing unit)- power aggregator io.net, and he has some strong concerns about Nvidia’s future, as he illustrates in an unflattering analogy.
Green shared his contrarian take on Nvidia with TheStreet, noting that while Nvidia’s “flashy” performance at last week’s conference might have reassured some investors, the company is still facing much bigger challenges and is likely to become the (IBM) of this market cycle, a highly negative aspect in the tech world.
“Its $30,000 GPUs are not the future of AI – they are a luxury solution for a small slice of workloads,” he states. “Over the long term, if decentralization continues to gain momentum, Nvidia risks becoming the IBM of this cycle – dominant in the early stages, but outpaced by more flexible architecture. The upside lies with those who can unlock and route IO computability and not just sell it.”
