On February 19, 2026, according to reports from Bloomberg, TechCrunch and Reuters, among others, OpenAI is nearing completion of a massive funding round exceeding $100 billion, with a post‑money valuation that could surpass $850 billion. If finalized, this round would be one of the largest private funding deals in history, far exceeding any previous single‑round record for a startup, and would further cement OpenAI's position as a global AI leader.
Insiders say the round's pre‑money valuation is set at $730 billion, and as funds are deployed the post‑money valuation could break past $850 billion, higher than previous market expectations of $830 billion. The funding will occur in multiple stages, with the first led mainly by strategic investors and later stages bringing in venture capital firms and sovereign wealth funds.
High‑profile Investor Lineup: Tech Giants Make Collective Bets
The main participants in this round are long‑standing strategic partners of OpenAI and core players in AI infrastructure:
- Amazon: is negotiating up to a $50 billion investment and has previously increased its stake in OpenAI several times.
- SoftBank: plans to invest about $30 billion, to be injected in tranches.
- Nvidia: is close to finalizing an investment of $20–30 billion (latest reports say $30 billion); this capital is separate from previously announced chip procurement agreements.
- Microsoft: as OpenAI's largest shareholder and cloud partner, will continue to participate, though the exact amount is not finalized (some reports say up to $10 billion).
These strategic investors will provide not only capital but also compute resources, cloud infrastructure and global distribution channels. Bloomberg notes that the first‑phase funding could be finalized by the end of the month, while the entire funding process may extend through the end of 2026.
Purpose of the funding: support trillion‑dollar‑scale AI infrastructure buildout
OpenAI is in a period of rapid expansion. Sam Altman has previously said the company plans to invest trillions of dollars over the coming years in data centers, chip purchases and model training. The company expects a loss of $14 billion in 2026, and cumulative losses could reach $115 billion by 2029. Therefore, the main uses of this substantial funding are:
- to build the world's largest AI supercomputing clusters;
- to accelerate R&D for GPT‑5.2 and next‑generation models;
- to support AI data center construction in emerging markets such as India with partners like Tata Group;
- to lay the capital foundation for a potential IPO (earliest expected at the end of 2026).
OpenAI's current annualized revenue exceeds $11 billion, but with explosive growth in compute demand, cash burn is outpacing revenue growth. This financing is intended to provide ample resources during a critical "spend now to build the future" window.
Industry significance: a new high in the AI capital race
This round highlights the intensity of the global AI infrastructure race. OpenAI's valuation now exceeds that of most traditional tech giants (such as Netflix and Goldman Sachs), and is second only to a handful of trillion‑dollar companies. The valuation reflects investors' extreme optimism about the long‑term potential of generative AI, despite the company's near‑term large losses.
For the broader industry, the round is likely to trigger chain effects:
- further driving up prices for AI compute, energy and data center‑related assets;
- encouraging more sovereign wealth funds and traditional capital to enter the AI space;
- accelerating OpenAI's shift from a "research‑focused organization" toward an "infrastructure + application platform" model.
At the same time, it has reignited debate over valuation bubbles and sustainability. Critics note that OpenAI remains heavily dependent on Microsoft's cloud resources and a closed‑source model, leaving a long‑term path to profitability unclear. Supporters argue that strategic early investments are warranted as AI infrastructure becomes the new oil.
Conclusion: the 'arms race' of the AI era continues
OpenAI's near‑finalization of a $100‑billion‑plus funding round is not only a milestone in the company's history but also the latest chapter in the 2026 global surge of AI capital. It illustrates how leaders are building moats at unprecedented scale and speed on the road to AGI.
For other AI firms, the event is both pressure and a lesson. How to achieve autonomy and control in compute, data and talent while efficiently attracting global capital will be a central challenge in the next phase.
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