What does the disappearance of a $100bn deal mean for the AI economy?

Last week, reports surfaced that a highly publicized $100 billion deal between Nvidia and OpenAI, announced in September, may not materialize. This deal was structured as a circular arrangement where Nvidia, a leading chipmaker, would invest heavily in OpenAI, the developer behind ChatGPT, with much of the funding directed back towards purchasing Nvidia’s own AI chips. Such circular funding models have raised concerns among market watchers, drawing parallels to the dotcom bubble of 1999-2000 due to their potentially inflated valuations and speculative nature.

The Wall Street Journal revealed that negotiations between Nvidia and OpenAI had stalled, with Nvidia’s CEO Jensen Huang privately emphasizing that the deal was non-binding and not finalized. Huang later confirmed that while Nvidia would make a significant investment in OpenAI’s next funding round, it would be far less than the previously touted $100 billion. Reuters added that OpenAI was reportedly dissatisfied with Nvidia’s advanced AI chips and was exploring alternative suppliers. The news caused Nvidia’s stock to drop by 10% within a week, prompting both companies to engage in damage control. OpenAI’s CEO Sam Altman reaffirmed their strong relationship with Nvidia and their intention to remain a major customer, while Oracle, which relies on a $300 billion cloud computing deal with OpenAI, expressed confidence that OpenAI would fulfill its commitments despite the uncertainty around Nvidia’s investment.

OpenAI has committed to compute deals exceeding $1 trillion, underscoring the immense infrastructure demands of AI development. Alvin Nguyen, an analyst at Forrester, explained that OpenAI’s rapid growth and plans for more computationally intensive AI models make it impractical to rely on a single chip vendor. Instead, OpenAI needs to source as many chips as possible from various suppliers. Nguyen also suggested that Nvidia’s initial $100 billion commitment might have been loosely stated, serving more to fuel market hype than reflect a firm agreement. For startups like OpenAI, navigating in and out of deals is part of business strategy, while Nvidia benefits from the hype surrounding AI chip demand to bolster its market position.

However, the fallout from the apparent collapse of this deal highlights broader challenges in the AI investment landscape. Investors and partners like Oracle may have taken the $100 billion figure at face value, leading to potential misalignments in expectations. OpenAI has downplayed the drama, emphasizing ongoing collaboration with Nvidia and the centrality of Nvidia’s technology to its AI breakthroughs. Meanwhile, the AI market is witnessing a shift from speculative hype to more grounded assessments of which technologies will generate sustainable revenue. This week’s sell-off in certain software stocks, triggered partly by the launch of a new AI tool from Anthropic capable of performing professional services, illustrates growing investor caution as AI threatens to disrupt established business models.

Competition at the top of the AI market is intensifying as well. OpenAI’s ChatGPT has seen its market share decline from 69% to 45%, challenged by Google’s Gemini, xAI’s Grok, and Anthropic’s Claude. OpenAI appears to be pivoting away from grandiose claims of super-intelligence towards more pragmatic applications, including advertising and adult content. The disappearance of the $100 billion Nvidia deal may symbolize a broader transition from last year’s sci-fi optimism to this year’s practical realities. As Alvin Nguyen warns, the market’s irrational exuberance may not be sustainable, and the question remains who will ultimately bear the financial risks as the AI economy evolves.