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OpenAI Expands Stargate Scope, Eyes Debt Financing to Secure Chips

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OpenAI is broadening the scope of its massive Stargate infrastructure project, originally unveiled at the White House earlier this year as a $500 billion initiative with partners including SoftBank and Oracle. Executives now say Stargate encompasses nearly all of OpenAI’s work involving data centers and AI chips, stretching beyond the original plan.

Initially conceived as a new entity for mega-scale AI infrastructure, Stargate has since expanded to cover projects predating its January announcement. OpenAI argues that only massive computing systems like Stargate can power the next phase of the AI revolution.

To finance its chip needs, the company plans to adopt creative strategies including debt financing and chip leasing, estimating savings of 10–15% by renting instead of buying GPUs outright. A newly announced partnership with Nvidia—worth up to $100 billion—will provide $10 billion in upfront cash and long-term backing for data center expansion.

CEO Sam Altman, who has long argued that data centers are the lifeblood of AI, said his goal is to reach the point of building “a gigawatt of new AI infrastructure every week.” Speaking at a briefing in Abilene, Texas—home to Stargate’s flagship site—he acknowledged investor concerns about a potential bubble but insisted long-term growth justifies the scale.

The Abilene facility, under construction by Oracle and Crusoe, spans more than 1,100 acres and employs thousands. The site is said to contain fiber optic cable long enough to stretch from Earth to the Moon and back.

Stargate’s rollout has faced delays due to partner negotiations and site selection challenges, according to SoftBank executives. Still, OpenAI, Oracle, and SoftBank this week announced five new U.S. data centers, bringing Stargate’s active projects to nearly 7 gigawatts of the 10 gigawatts originally targeted.

Executives said Microsoft, OpenAI’s longtime sponsor, will not be included in certain Stargate projects, following negotiations to allow OpenAI to partner more broadly.

The company stressed the urgency: demand for ChatGPT and related tools has already forced OpenAI to delay international product launches due to insufficient compute.

Industry experts note that financing remains a major hurdle. Of the roughly $50 billion cost for a new hyperscale data center, about $15 billion covers land and buildings—while the rest goes toward GPUs, which are both costly and in short supply. Following Meta’s example, which secured $29 billion from outside financiers for a Louisiana data center, OpenAI is expected to rely heavily on debt markets to fund its future sites, with Nvidia’s equity stake boosting lender confidence.

Despite bottlenecks in GPU supply chains, Altman maintains that rapid infrastructure buildouts are essential: “We cannot fall behind in the need to put the infrastructure together to make this revolution happen.”

Nvidia’s $100B OpenAI deal sparks funding, valuation, and competition questions

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Nvidia’s plan to invest up to $100 billion in OpenAI — while also supplying millions of its GPUs to the ChatGPT maker — is unprecedented in the tech sector and raises major uncertainties about finance, competition, and market impact.

Key open questions:

1. Where does the rest of the money come from?

  • Nvidia has pledged $10B per gigawatt for 10 GW of compute, but CEO Jensen Huang estimates $50B is needed per gigawatt (with $35B of that spent on Nvidia hardware).

  • That leaves a massive $40B funding gap per GW. OpenAI has not disclosed how it will raise the remainder.

2. How does this fit OpenAI’s shift to for-profit?

  • OpenAI is transitioning from a nonprofit into a public benefit corporation overseen by its nonprofit parent.

  • Nvidia’s investment may hinge on this structure, but it’s unclear if funding flows to the nonprofit entity or the restructured PBC.

  • Regulatory approval in Delaware and California is still pending.

3. What does it mean for OpenAI’s valuation?

  • Nvidia’s initial $10B tranche is pegged to OpenAI’s current $500B valuation.

  • But there’s no timeline for deploying the full 10 GW or committing the entire $100B. Future investments may depend on OpenAI’s valuation at the time, raising uncertainty about dilution and pricing.

4. How will competition be affected?

  • Nvidia’s chips remain the most coveted resource in AI. By tying up vast capacity with OpenAI, rivals like Anthropic, Google, or even Microsoft could face constraints in access.

  • Competitors like AMD may find it harder to gain traction if Nvidia prioritizes OpenAI, despite Nvidia’s public pledge to “make every customer a top priority.”

5. What does it mean for Oracle?

  • Oracle has signed hundreds of billions in cloud contracts with OpenAI, but analysts question whether OpenAI has the liquidity to pay.

  • Nvidia’s cash infusion could strengthen Oracle’s revenue outlook, reassuring investors and credit agencies like Moody’s, which flagged funding risks.

Big picture:

The deal deepens the interdependence of AI’s leading players — Nvidia for chips, OpenAI for models, Microsoft for software integration, and Oracle for cloud. But it also amplifies antitrust concerns, as U.S. regulators eye whether such alliances foreclose competition in the AI stack.

Nvidia to invest up to $100B in OpenAI, fueling AI dominance — and antitrust worries

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Nvidia will invest up to $100 billion in OpenAI and supply it with advanced data center chips, the companies confirmed Monday, marking one of the largest-ever deals in artificial intelligence. The pact ties together the world’s leading AI chipmaker and the sector’s most high-profile model developer, deepening concerns about market concentration.

Deal structure

  • Nvidia will acquire non-voting shares in OpenAI.

  • OpenAI will use the cash to purchase Nvidia chips, creating what analysts called a “circular” arrangement.

  • The two companies signed a letter of intent to deploy at least 10 gigawatts of Nvidia systems — equivalent to powering 8 million U.S. homes.

  • Nvidia will begin deliveries in late 2026 via its new Vera Rubin platform, starting with 1 GW of compute.

  • Initial investment: $10B, with further tranches scaling toward $100B.

OpenAI CEO Sam Altman said: “Compute infrastructure will be the basis for the economy of the future, and we will utilize what we’re building with Nvidia to both create new AI breakthroughs and empower people and businesses with them at scale.”

Market reaction

  • Nvidia shares hit a record intraday high (+4.4%).

  • Oracle gained 6% amid its own collaboration with OpenAI, Microsoft, and SoftBank on the $500B Stargate data center project.

  • Broadcom fell 0.8% on concerns the deal could complicate its custom-chip work with OpenAI.

Industry context

The pact follows:

  • Microsoft’s multibillion-dollar investments in OpenAI since 2019.

  • Nvidia’s $5B investment in Intel and its $6.6B backing of OpenAI in 2024.

  • Ongoing OpenAI efforts to design its own AI chips with Broadcom and TSMC, which reportedly remain unchanged.

Antitrust spotlight

The DOJ and FTC reached an agreement in 2024 enabling potential probes into the roles of Microsoft, Nvidia, and OpenAI in AI. Analysts warn this deal could intensify scrutiny:

  • Andre Barlow, antitrust lawyer: “It could potentially lock in Nvidia’s chip monopoly with OpenAI’s software lead, making it more difficult for rivals like AMD or competing AI labs to scale.”

  • Stacy Rasgon (Bernstein): The structure raises concerns about Nvidia’s investment dollars coming back as chip purchases.

The Trump administration has so far taken a lighter regulatory approach than Biden’s, emphasizing growth over enforcement — though officials say protecting competition in AI infrastructure remains a long-term priority.