In a dramatic reversal of plans, Nvidia has abandoned its earlier intention to invest $100 billion in OpenAI, opting instead for a more modest $30 billion contribution to the startup's ongoing funding round, according to a report by the Financial Times. The chipmaker, which dominates the market for AI accelerators, is currently in the final stages of negotiations, with a deal expected to be finalized as early as this weekend, the paper reported, citing unnamed sources familiar with the matter.
The new investment is part of a broader funding round that is set to raise more than $100 billion for OpenAI, valuing the company at $730 billion before the new capital injection. While much of this funding is expected to be funneled back into Nvidia hardware—reinforcing the symbiotic relationship between the two companies—the earlier grand plan announced last September will not proceed.
Background: The Original $100bn Deal
The initial multi-year deal, unveiled with considerable fanfare in September, was immediately met with skepticism from many analysts. Critics pointed to its circular structure, where OpenAI would use the investment to purchase Nvidia chips, effectively recycling the money back to the chipmaker. The vague terms and lack of detailed financial projections further fueled doubts. Despite these concerns, the announcement had a buoyant effect on the stock market. Nvidia's shares briefly surged past $5 trillion in market capitalization just weeks later, driven by investor enthusiasm for anything related to artificial intelligence.
However, reports soon emerged that the deal had not advanced beyond a mere memorandum of understanding. In January, the Wall Street Journal described the plan as "on ice," citing growing caution among investors in the AI space. The current funding round represents a more conventional approach, aligning with trends seen across the tech industry.
OpenAI's Financial Landscape
OpenAI has experienced explosive growth in revenue, with its annualized run rate exceeding $20 billion earlier this year. The company's ChatGPT product has become a household name, driving demand for generative AI applications. Yet, the startup's financial obligations are staggering. It has made commitments totaling $1.5 trillion for AI infrastructure and chips with providers including AMD, Broadcom, and Oracle. This massive spending underscores the capital-intensive nature of building and scaling advanced AI models.
The current funding round is expected to include significant contributions from other major players. SoftBank is reportedly planning to invest $30 billion, mirroring Nvidia's contribution. Amazon, through its cloud computing arm AWS, could pump in up to $50 billion as part of a broader deal that might involve integrating OpenAI's models into Amazon's services. MGX, Microsoft, and several venture capital firms are also said to be lining up investments. This flood of capital reflects the strategic importance of aligning with OpenAI, which many view as a leader in the race to achieve artificial general intelligence (AGI).
The Evolving AI Investment Climate
The shift from a massive, long-term commitment to a more conventional equity round signals changing dynamics in AI investment. Throughout 2024 and early 2025, the industry has witnessed a cooling of initial euphoria, replaced by a more cautious, data-driven approach. Venture capital firms and corporate investors are now demanding clearer paths to profitability and tangible returns. The circular nature of the original Nvidia-OpenAI deal—where the same money would essentially circle between two companies—raised red flags reminiscent of the dot-com era.
Moreover, regulatory scrutiny of large tech mergers and investments has intensified. Antitrust authorities in the United States and Europe have been examining the concentration of power in the AI sector, particularly concerning Nvidia's near-monopoly on AI chips. The original $100 billion deal would have deepened an already controversial relationship, potentially triggering formal investigations. The scaled-back investment is less likely to attract such attention.
OpenAI is also preparing for a public offering later this year. A successful IPO would provide a liquidity event for early investors and employees, and could reshape the company's governance structure. Moving away from a complex private deal with Nvidia simplifies the narrative for potential public market investors, who often prefer straightforward equity stakes.
Nvidia's Strategic Pivot
For Nvidia, abandoning the $100 billion plan does not diminish its commitment to the AI ecosystem. The company remains the primary supplier of the chips powering AI workloads, from training large language models to inference. By investing $30 billion in the funding round, Nvidia still secures a significant stake in OpenAI while retaining flexibility. The chipmaker's market capitalization has fluctuated but remains around $4 trillion, giving it ample resources for multiple strategic investments.
The decision may also reflect internal reassessments of risk. The previous deal's structure could have tied Nvidia's financial health too closely to OpenAI's performance. If OpenAI stumbled—due to regulatory issues, competition, or technical setbacks—the $100 billion commitment could have dragged down Nvidia's stock. The new, smaller investment spreads risk across a broader investment portfolio.
Furthermore, Nvidia is diversifying its own business. Beyond chips, it is developing software platforms like CUDA and delving into cloud gaming, automotive AI, and edge computing. Maintaining a strong but not all-consuming relationship with OpenAI allows Nvidia to pursue these other avenues without overexposure.
Broader Implications for AI Startups
The news has rippled through the startup ecosystem. Many young AI companies were hoping that the original Nvidia-OpenAI deal would set a precedent for massive, upfront hardware commitments. Instead, the shift suggests that investors are favoring equity-based funding rounds with clearer terms. This could make it harder for other AI startups to secure similar hardware-for-equity deals, forcing them to raise traditional venture capital or debt financing.
At the same time, the sheer size of OpenAI's funding round—exceeding $100 billion—underscores the winner-takes-all nature of the AI industry. Smaller players may struggle to compete for talent, chips, and market share. The concentration of investment in a handful of firms like OpenAI, Anthropic, and Google DeepMind could stifle innovation in the longer term, as fewer independent labs receive the capital needed to challenge incumbents.
The $730 billion valuation for OpenAI is staggering, especially given that the company is still not profitable on a net basis. However, investors are betting that OpenAI's technology will become integral to countless industries, from healthcare and education to finance and entertainment. The valuation also reflects the scarcity of pure-play AI companies with proven commercial traction.
The Road Ahead
As the weekend deadline approaches, all eyes are on the final terms of Nvidia's $30 billion investment. The deal is likely to include provisions for the use of Nvidia's latest chips, such as the upcoming Blackwell architecture, ensuring that OpenAI continues to access cutting-edge hardware. In return, Nvidia will gain a seat at the table as OpenAI charts its future direction, including its governance and IPO timeline.
Meanwhile, SoftBank's expected $30 billion contribution and Amazon's potential $50 billion involvement suggest a broader realignment of corporate alliances in AI. SoftBank, through its Vision Fund, has been aggressively investing in AI startups, while Amazon aims to bolster its AWS AI services against competitors like Microsoft Azure and Google Cloud. These investments are not just about financial returns; they are strategic bets on the future of computing.
The original $100 billion deal may have been too audacious even for an industry accustomed to bold moves. Its collapse into a more conventional funding round is a sign that the AI boom is maturing. Investors are still pouring money into the sector, but with greater discipline and scrutiny. For Nvidia and OpenAI, the new arrangement could prove more durable and mutually beneficial over the long term.
Source: Silicon UK News