OpenAI seeks $730 billion valuation as Nvidia reportedly considers $30 billion investment

2026-02-21

The BareStory

OpenAI is finalizing a funding round that could total approximately $100 billion, potentially granting the artificial intelligence company a pre-money valuation of $730 billion. As part of this capital raise, Nvidia is reportedly in discussions to invest up to $30 billion. Sources indicate that strategic investors—potentially including Amazon and SoftBank—are expected to contribute roughly 90% of the total funding.

Alongside the fundraising talks, OpenAI has updated its financial guidance for investors. The company reportedly targets spending approximately $600 billion on total compute by 2030, a figure lower than the $1.4 trillion previously touted by CEO Sam Altman. Revenue for 2030 is projected to exceed $280 billion. For 2025, sources stated that OpenAI generated $13.1 billion in revenue and recorded a cash burn of $8 billion, performing better than its internal targets.

Nvidia CEO Jensen Huang stated earlier this month that there was “no question” his company would invest in OpenAI’s next round. A source familiar with the confidential discussions clarified that the potential $30 billion investment is separate from a $100 billion infrastructure agreement the two companies announced in September. While reports in January suggested the earlier infrastructure deal was “on ice,” Altman recently addressed the partnership on social media, stating that his company enjoys working with Nvidia and questioning the validity of concerns regarding their relationship.

The company’s user base has continued to expand, with sources reporting that ChatGPT now has more than 900 million weekly active users, up from 800 million in October. Additionally, OpenAI’s coding product, Codex, has surpassed 1.5 million weekly active users.

Left Perspective

Monopolistic Power Consolidation
Speculative Valuation Frenzy
Extractive Resource Intensity

Right Perspective

Strategic Capital Synergy
Rationalized Fiscal Discipline
Productivity Engine Scaling

Left Perspective

• Monopolistic Power Consolidation The involvement of strategic investors like Amazon and SoftBank for 90% of the funding, alongside Nvidia’s potential $30B injection, signals a dangerous centralization of the digital economy. By anchoring a $730B valuation through incumbent tech giants, the market is effectively creating an oligopoly that creates insurmountable barriers for smaller innovators. This framework prioritizes the dominance of established capital over a diverse, competitive marketplace.

• Speculative Valuation Frenzy Despite generating $13.1B in revenue, the company’s $8B cash burn and the staggering $730B valuation multiplier suggest a decoupling of financial value from actual economic utility. This creates a "too big to fail" systemic risk where speculative capital chases hype rather than sustainable growth. The reliance on massive future projections—such as the $280B revenue target for 2030—mirrors previous asset bubbles that ultimately harm the broader economy when they correct.

• Extractive Resource Intensity The plan to spend $600B on compute by 2030 represents a massive diversion of capital and energy resources toward a single, energy-intensive industry. While this figure is lower than the previous $1.4 trillion estimate, it still prioritizes silicon infrastructure over tangible social investment. This capital-heavy approach risks extracting wealth from the broader economy to service the infrastructure costs of a specific private sector capability.

Right Perspective

• Strategic Capital Synergy Nvidia’s potential $30B investment is not merely funding; it is a rational vertical integration that secures the supply chain for the next industrial revolution. By aligning the hardware provider with the software pioneer, the market is efficiently allocating resources to ensure stability in a high-growth sector. This partnership validates the $730B valuation as a reflection of the transformative productivity potential inherent in the technology.

• Rationalized Fiscal Discipline The revision of the 2030 compute spending target from $1.4 trillion down to $600B demonstrates a crucial pivot toward operational efficiency and maturity. By beating internal targets with $13.1B in revenue while managing the necessary cash burn of $8B, the company proves it is moving from experimental R&D to a sustainable business model. This discipline signals to investors that capital is being treated with increasing prudence rather than reckless abandon.

• Productivity Engine Scaling The growth to 900 million weekly active users indicates that the market has found immense utility in this technology, justifying the massive upfront capital requirements. In this view, the $100B funding round is the necessary fuel to build the infrastructure that will drive broad-based economic expansion. The immense investment is the "table stakes" required to unlock trillions in downstream value across the global economy.

How it may affect me

As a U.S. reader:

• The heavy backing by established tech giants may consolidate the AI market, potentially limiting competition and reducing the number of alternative service providers available to consumers and small businesses.

• With the user base surpassing 900 million, the investment ensures the infrastructure needed to maintain and expand the AI tools that are increasingly integrated into daily work and productivity.

• The gap between the $730 billion valuation and current revenue creates a financial scenario where a potential market correction could pose risks to the broader economy if growth targets are not met.

• The projected $600 billion expenditure on computing infrastructure signifies a massive long-term diversion of capital and energy resources toward a single industry, which could impact resource availability for other sectors.

OpenAI seeks $730 billion valuation as Nvidia reportedly considers $30 billion investment

The BareStory

Left Perspective

Right Perspective

How it may affect me

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