Nvidia CEO Jensen Huang confirmed that the previously discussed up to $100 billion investment in OpenAI has stalled, clarifying that the arrangement was never a binding commitment. This statement follows a report by The Wall Street Journal indicating internal doubts within the chip giant about the massive potential deal. The original plan involved OpenAI leasing Nvidia chips for computing power buildout.
The proposed deal, initially detailed in a nonbinding letter of intent from September, linked Nvidia's investment progressively to the deployment of 10 gigawatts of computing power for OpenAI. Huang privately criticized what he described as a lack of discipline in OpenAI's business approach, according to people familiar with the matter cited by the WSJ.
Nvidia management appears motivated to maintain its dominant position as the essential infrastructure provider for the AI sector, rather than appearing overly dependent on a single application developer like OpenAI. This stance mitigates the valuation risk associated with over-reliance on the ChatGPT maker, a factor that has previously caused volatility for partners like Microsoft.
Despite the stalling of the $100 billion commitment, Huang affirmed that Nvidia will participate in OpenAI’s current funding round, calling it potentially the largest investment the chip designer has ever made. This continued involvement supports Nvidia’s vested interest across various segments of the AI supply chain.
Filings and earnings calls had previously softened the language around the investment, referring to it as an "opportunity" rather than a firm obligation, contrasting sharply with the formalized $10 billion investment in rival Anthropic. The lack of definitive agreements materialized as the target finalization date announced in September passed without resolution.
Economically, Nvidia seeks to avoid the so-called "OpenAI valuation tax," where associated companies face market scrutiny if their growth trajectory appears too tethered to the performance of the generative AI leader. This strategic positioning allows Nvidia to support multiple foundational AI efforts without undue concentration risk.
The broader implication is a strategic recalibration by Nvidia to ensure its foundational technology role remains primary, even as it supports key customers. Future capital deployment will likely prioritize infrastructure buildouts where Nvidia maintains greater control over deployment timelines and terms.
