What are the implications of a $100 billion deal falling through for the AI industry?

Has the circular AI economy hit a bump in the road? Recently, reports surfaced suggesting that a highly anticipated $100 billion agreement—first disclosed in September—between Nvidia and OpenAI may be unraveling.

This deal was meant to create a circular economic loop wherein the chip manufacturer would provide substantial financial backing to the ChatGPT developer, predominantly intended for the purchase of Nvidia’s own chip products.

Such arrangements have raised concerns among market analysts, who have noted distinct similarities to the burst of the dotcom bubble between 1999 and 2000, as highlighted in reports.

New findings from the Wall Street Journal indicate that Nvidia’s position on the investment was not as firm as many assumed. Reports suggest that discussions have stalled, with Jensen Huang, Nvidia’s CEO, privately stating that the deal was “non-binding” and “not finalized.” During an appearance in Taipei, Huang reaffirmed that while Nvidia planned to make a “huge” investment in OpenAI’s upcoming funding round, it would be “nothing like” the previously touted $100 billion.

Furthermore, a Reuters report revealed that OpenAI expressed dissatisfaction with Nvidia’s advanced AI chips and is actively searching for alternative solutions. This has led to a significant 10% decline in Nvidia’s stock price, and a barrage of headlines prompting both firms to engage in damage control.

In response to the turmoil, OpenAI’s CEO, Sam Altman, reassured the public on X, stating, “We love working with Nvidia and they make the best AI chips in the world. We hope to be a gigantic customer for a very long time.”

Even Oracle, a major player in the software industry expecting a $300 billion cloud computing deal with OpenAI, expressed some apprehension but maintained its confidence in OpenAI fulfilling its commitments, regardless of the Nvidia funding shortfall. Overall, OpenAI has secured compute deals, which provide the foundational infrastructure for its AI initiatives, amounting to over $1 trillion.

Oracle further stated, “The Nvidia-OpenAI deal has zero impact on our financial relationship with OpenAI. We remain highly confident in OpenAI’s ability to raise funds and meet its commitments.”

The disintegration of the $100 billion agreement involving two pivotal companies in AI is rather concerning. However, there are pragmatic business reasons for the current situation, according to Alvin Nguyen, an analyst at the research firm Forrester.

OpenAI’s aggressive growth strategy may make it challenging for the company to remain tied to a single supplier, particularly as it embarks on developing new, more complex AI models, he noted. “They need chips. They require as many as they can get.”

From Nvidia’s perspective, their looseness around the $100 billion commitment may have been intentional from the outset. “They will not discourage hype. Why would you undercut your own stock right after announcing such a sum?”

For a rapidly scaling startup like OpenAI, shifting between various vendor agreements is simply a pragmatic approach to business, Nguyen explained. “Altman has a startup background, and the strategies he employs are logical from that perspective.”

As Nvidia engages in the AI hype, it’s important to remember, “You can never predict the future,” Nguyen cautioned. “So, you let others float numbers and allow that to fuel the excitement.”

This speculative behavior, however, can mislead investors and companies like Oracle, which may take the reported $100 billion figures at face value.

When approached by the Guardian for comment, a spokesperson for OpenAI referred back to Altman’s post on X and reiterated Huang’s remarks to CNBC: “There is no drama.”

The spokesperson emphasized, “Our teams are actively navigating the details of our partnership. Nvidia technology has been foundational to our breakthroughs, powers our systems currently, and will remain integral as we scale our next steps.”

Inquiries directed to Nvidia and Oracle for further clarification went unanswered.

This situation is playing out in a rapidly evolving investment landscape for AI, where the initial hype is beginning to clash with the practical realities of monetization.

As stakeholders consider whether OpenAI can finance a $1.4 trillion computing deal, the pressure is mounting down the AI hierarchy. A significant sell-off occurred this week among software stocks following the introduction of a new tool by Anthropic AI, which has sparked concerns that existing business models could be disrupted by emerging AI capabilities.

This scenario exemplifies what some refer to as “jagged AI,” characterized by advanced AI tools possessing various levels of proficiency, such as being adept at document review but falling short in complex problem-solving. If these advanced systems effectively automate legal tasks, legacy firms within service sectors will likely face challenges. The identification of these vulnerable companies is already drawing the attention of investors.

At the pinnacle of the AI landscape, competitive pressures are similarly intensifying. OpenAI’s ChatGPT is witnessing a drop in its market share, now down from 69% to 45%, as rivals like Google’s Gemini, xAI’s Grok, and Anthropic’s Claude gain traction. The conversation surrounding superintelligence that dominated earlier months seems to have shifted towards more immediate, profit-seeking concerns, such as advertisements and adult content.

The apparent collapse of the $100 billion deal might symbolize a shift from last year’s aspirational narratives to this year’s grounded realities. The crucial question now is, who will ultimately bear the consequences?

“There are likely to be ripple effects,” Nguyen remarked. “It’s reminiscent of the saying: markets can remain irrational longer than you can remain solvent.”