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Stargate I in Abilene, Texas.
Stargate I in Abilene, Texas (OpenAI)

Rising ambitions and skyrocketing costs: Here’s what we know about Project Stargate

As the number of gigawatts and GPUs grows, so do the questions about how the massive data center project will be paid for.

As tech giants like Meta, xAI, Microsoft, and Amazon race to build colossal AI data centers, one massive undertaking stands apart from the rest in its ambitious goals: Project Stargate.

In the eight months since Stargate was announced — backed by partners OpenAI, Oracle, SoftBank, and Nvidia, which have pledged hundreds of billions toward it — the scale and ambition of the project have grown.

Still, details are scant and questions have arisen about how the companies involved will raise the eye-popping amounts of capital needed for the pricey data centers described in the plan. 

A time lapse of Stargate I construction, in Abilene, Texas. Imagery from April 26, 2024, to September 29, 2025 (Copernicus)

Let’s dive into the details of what we know about Stargate’s plans in the US, and look at the questions that remain unanswered. 

“Project Ludicrous”

In January 2025, on the first full day of his second term, President Trump announced the largest “AI infrastructure project, by far, in history” standing alongside SoftBank founder and CEO Masayoshi Son, Oracle founder and CTO Larry Ellison, and OpenAI cofounder and CEO Sam Altman.

Trump described Project Stargate as a new American company that will be investing $500 billion in the US and creating over 100,000 jobs “almost immediately.” The plan was audacious and at a scale without precedent. 

Ellison, Son, and Altman spilled some details: 

  • The first site was a massive data center already under construction in Abilene, Texas.

  • The project consisted of 10 sites, and each building would be 500,000 square feet.

  • The plan would expand to 20 sites.

  • Son said SoftBank would invest $100 billion “immediately,” and the remaining $400 billion over four years.

While plans were being developed, the effort went by the code name “Project Ludicrous.”

OpenAI’s initial press release identified the equity partners in Stargate as SoftBank, OpenAI, Oracle, and MGX — United Arab Emirates’ state-owned investment fund. Arm, Microsoft, and Nvidia were listed as technology partners. 

Stargate I, the first site of the project, will reportedly cost about $12 billion to build. That’s not counting the 64,000 Nvidia GB200 GPUs that will fill the data center, totaling 1.2 gigawatts of computing power, the cost of which is in the tens of billions.  

After the January announcement, we didn’t hear much about the project until March, when Bloomberg reported that SoftBank was seeking a $16.5 billion bridge loan for it — the largest dollar-based loan that the company has taken on, resulting in two ratings agencies warning about it creating potential financial strains. 

In May, Bloomberg reported that SoftBank’s initial $100 billion investment had yet to materialize, even though it was supposed to happen “immediately,” and that the company had yet to formalize details of the financing. April’s trade chaos and the shocking effects of DeepSeek’s R1 model spooked investors, complicating SoftBank’s fundraising efforts. 

4.5, 7, 10 gigawatts

In July, the companies gave an update on the project and announced an expansion. Oracle and OpenAI outlined an agreement to develop an additional 4.5 gigawatts of capacity in US data centers under the Stargate umbrella, expanding upon the original 1.2 gigawatts planned for Stargate I. OpenAI said parts of the Stargate I facility were up and running and that deliveries of the first of 2 million Nvidia GPUs had arrived.  

A flurry of eye-popping AI infrastructure deals between Stargate partners followed.

In September, when Oracle announced its first-quarter earnings, shares rocketed up 30% when the company announced it had “remaining performance obligations” — signed deals that were backlogged — that were “likely to exceed half-a-trillion dollars.” The next day it was reported that part of that backlog was a huge deal with OpenAI.

OpenAI had signed an agreement with Oracle to buy $300 billion worth of cloud computing from the database giant over five years. But the deal raised serious questions about how exactly OpenAI is going to find this money, as it currently expects to burn $115 billion through 2029.

A few weeks later, Stargate partners OpenAI and Nvidia announced that they had signed a “letter of intent” for a strategic partnership. The blockbuster agreement consisted of a $100 billion investment in OpenAI by Nvidia to build and deploy “at least 10 gigawatts” of AI data centers, filled with Nvidia’s next-gen Vera Rubin chips. Nvidia CEO Jensen Huang told CNBC that 10 gigawatts’ worth of computing power means “roughly 4 million, 5 million GPUs,” which he said was twice the amount that the company shipped last year. Nvidia’s $100 billion investment would be spread out in $10 billion payments, as each gigawatt of capacity was deployed. 

According to a report by Reuters, the unusual agreement gave Nvidia nonvoting shares in OpenAI, and OpenAI would then use that capital to pay Nvidia for its chips, raising concerns of a “circular deal,” which industry observers fear might be a harbinger of a massive AI bubble.

While the announcement did not specifically say that the deal was part of Stargate, Nvidia is the supplier of the AI and networking hardware for the project, and given the massive scale, it is sure to overlap with Stargate.

Power-hungry

OpenAI appears to be pulling in substantial revenue, but it’s also burning cash at an alarming rate. The Information reports that the company expects to end the year with $13 billion in revenue, while burning $8.5 billion in cash. The company has some extremely optimistic projections for growth, which it hopes will lead to AGI and hopefully a viable business model along the way. (OpenAI didn’t respond to a request for comment.)

Even 10 gigawatts of computing power might not be enough for Altman, who wants much, much more than that. According to The Information, Altman has said internally that he wants 250 gigawatts by 2033 (which could cost up to $12.5 trillion). 

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Ahead of IPO, Anthropic adds veteran executive and former Trump administration official to board

Anthropic is moving to put the pieces in place for a successful IPO this year.

Today, the company announced that Chris Liddel would join its board of directors.

Liddel is an seasoned executive who previously served as CFO for Microsoft, GM, and International Paper.

Liddel also comes with experience in government, having served as the deputy White House chief of staff during the first Trump administration.

Ties to the Trump world could be helpful for Anthropic as it pushes to enter the public market. Its reportedly not on the greatest terms with the current administration, as the startup has pushed back on using its Claude AI for surveillance applications.

Liddel is an seasoned executive who previously served as CFO for Microsoft, GM, and International Paper.

Liddel also comes with experience in government, having served as the deputy White House chief of staff during the first Trump administration.

Ties to the Trump world could be helpful for Anthropic as it pushes to enter the public market. Its reportedly not on the greatest terms with the current administration, as the startup has pushed back on using its Claude AI for surveillance applications.

tech

Meta is bringing back facial recognition for its smart glasses

Meta is reviving its highly controversial facial recognition efforts, with plans to incorporate the tech into its smart glasses as soon as this year, The New York Times reports.

In 2021, around the time Facebook rebranded as Meta, the company shut down the facial recognition software it had used to tag people in photos, saying it needed to “find the right balance.”

Now, according to an internal memo reviewed by the Times, Meta seems to feel that it’s at least found the right moment, noting that the fraught and crowded political climate could allow the feature to attract less scrutiny.

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” the document reads.

The tech, called “Name Tag” internally, would let smart glass wearers identify and surface information about people they see with the glasses by using Meta’s artificial intelligence assistant.

Now, according to an internal memo reviewed by the Times, Meta seems to feel that it’s at least found the right moment, noting that the fraught and crowded political climate could allow the feature to attract less scrutiny.

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” the document reads.

The tech, called “Name Tag” internally, would let smart glass wearers identify and surface information about people they see with the glasses by using Meta’s artificial intelligence assistant.

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Jon Keegan

Anthropic raises $30 billion, now valued at $380 billion

Anthropic is now valued at $380 billion, after closing on its latest round of fundraising, taking in $30 billion from a wide range of investors. The Series G round was co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and the UAE’s investment arm, MGX.

Some other investors include: Qatar Investment Authority (QIA), Sequoia Capital, Fidelity Management & Research Company, JPMorgan Chase, Lightspeed Venture Partners, Microsoft, and Nvidia.

Anthropic offered a few details on the current state of its business:

  • Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.

  • “The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”

  • “Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”

  • Business subscriptions to Claude Code have quadrupled since the start of 2026.

In a blog post announcing the round, the company said:

“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”

Anthropic offered a few details on the current state of its business:

  • Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.

  • “The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”

  • “Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”

  • Business subscriptions to Claude Code have quadrupled since the start of 2026.

In a blog post announcing the round, the company said:

“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”

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