Trump-Branded AI Data Center Megaproject Stalls, CEO Departs
Being told that a company is going to build something half the size of Manhattan, a sprawling campus that would consume three times the electricity of New York City, all in the name of artificial intelligence. Sounds like science fiction, right? But in June 2025, that's exactly what was announced: the President Donald J. Trump Advanced Energy and Intelligence Campus, a 17-gigawatt AI data center megaproject in the Texas Panhandle, spearheaded by Fermi America and backed by Trump allies.
Fast forward less than a year, and the narrative has shifted dramatically.
Last Friday, Fermi America's CEO, Toby Neugebauer, abruptly stepped down. His departure sent the company's stock, already down a gut-wrenching 75% over the past six months, tumbling even further in after-hours trading. The project, once billed as the largest data center in the world, is now stalled, mired in logistical nightmares, cooling system bottlenecks, and the glaring absence of a confirmed anchor tenant. It's a story of ambition colliding with reality, and it raises a question that many in the tech world are now asking: What on earth happened?
What Went Wrong with the Trump AI Data Center?
Let's rewind a bit. Fermi America, co-founded by former U.S. Energy Secretary and Texas Governor Rick Perry, unveiled Project Matador, rebranded as the President Donald J. Trump Advanced Energy and Intelligence Campus, in mid-2025. The vision was breathtaking: a 17-gigawatt private energy grid powered by natural gas, nuclear, and solar, all serving a colossal AI data center campus. The company went public just a few months later, riding the crest of investor excitement about AI infrastructure.
But the cracks started showing almost immediately. On Friday, the biggest crack appeared: Toby Neugebauer, the Dallas billionaire and co-founder who had been the public face of the project, departed. According to an Axios report, his exit was so sudden that just a day earlier, in an interview with the outlet, he was still defending the project's viability, giving no hint that he was about to walk out the door.
The market's reaction was swift and brutal. Shares of Fermi Inc. (NASDAQ: FRMI), already trading at a fraction of their 52-week high, plunged further. At the time of writing, the stock sits around $6.55, down a staggering 82% from its peak of nearly $37. It's a stark contrast to the broader rally in AI-related energy stocks, and it's a clear signal that investors are spooked.
The Anchor Tenant Problem
At the heart of Fermi America's troubles is a fundamental chicken-and-egg problem: you can't build a data center of this scale without a confirmed anchor tenant, typically a hyperscaler like a major cloud provider or an AI lab, to commit to using the space. And you can't finalize the design of critical systems, especially the cooling infrastructure, until you know what that tenant needs.
Neugebauer acknowledged this in his Axios interview, admitting that the project can't move forward without a tenant. Yet on Fermi's March 30 earnings call, when analysts pressed for details, his response was frustratingly vague. The company, he said, was signing new letters of intent but couldn't share anything publicly "until things are finalized." The problem is, a letter of intent is not a signed lease. It's a promise, not a guarantee.
Making matters worse, a previously committed tenant reportedly withdrew in December, triggering a class-action lawsuit from investors who felt misled. Without a real, paying customer, the entire project is essentially frozen.
Leadership Exodus and Internal Turmoil
CEO departures are never a good sign, but the timing and context of Neugebauer's exit are particularly troubling. In that same Axios interview, he admitted, "I may have been naive about how complex these projects are to put together." He specifically pointed to the cooling systems and the supply chain for cooling equipment as a "bigger bottleneck than we originally anticipated."
Then there's the optics of insider selling. Griffin Perry, Rick Perry's son and a co-founder of Fermi America, sold approximately 15% of his stake in the company. Other executives have also reduced their holdings, albeit in smaller amounts. While insider sales can happen for many reasons, when combined with a 75% stock drop and a CEO exit, it's hard not to read it as a lack of confidence.
And if that weren't enough, reports have surfaced of a clash between Neugebauer and Commerce Secretary Howard Lutnick at a conference, hinting at deeper friction between Fermi's leadership and the very political allies who helped launch the project.
Why Cooling Systems Became the AI Data Center's Achilles' Heel
If you're not a data center engineer (and most of us aren't), you might wonder why cooling systems are such a big deal. Here's the simple explanation: modern AI chips, like Nvidia's Blackwell GPUs, generate an enormous amount of heat. A single rack of these chips can consume 120 to 140 kilowatts of power, enough to power several homes. If you don't cool them effectively, they melt.
Neugebauer was candid about this in his earnings call, saying, "I think it's a bigger bottleneck than we originally anticipated." He went even further with Axios, admitting that he may have "misunderstood where the supply chain is" for cooling equipment and calling it a personal "failure."
This is not a minor detail. Cooling systems for hyperscale data centers are custom-designed based on the tenant's specifications. Without a tenant, you can't finalize the cooling design. Without a cooling design, you can't break ground on the buildings. It's a cascading series of dependencies that has left Fermi America's project in limbo.
Broader Context: Stargate's Parallel Struggles
Fermi America's woes don't exist in a vacuum. Across the AI landscape, ambitious infrastructure projects are hitting similar execution walls. Take Stargate, the $500 billion joint venture between OpenAI, SoftBank, and Oracle that was announced with great fanfare at the White House in January 2025.
Stargate has seen its own leadership exodus: Kyle Khoury, the vice president of data center development, and Sammy Sidhu, a senior technical infrastructure planner, both departed in recent weeks. The venture has struggled to staff up, and negotiations over financing and project scope have dragged on for months. In some cases, OpenAI has pivoted to leasing existing cloud capacity rather than building its own data centers from scratch.
The common thread? Building AI infrastructure at this scale is brutally hard. It sits at the intersection of real estate, electrical engineering, supply chain logistics, regulatory compliance, and, crucially, cooling technology. The gap between announcing a megaproject and actually delivering it is vast.
What Does This Mean for AI Infrastructure?
For investors and industry watchers, Fermi America's struggles serve as a sobering reality check. The AI boom has created a frenzy of excitement around data center development, but not every project will succeed. The challenges are not just financial; they are technical, logistical, and political.
- For Investors: The Fermi story underscores the risk of betting on unproven, pre-revenue infrastructure plays. The lack of a confirmed anchor tenant should have been a red flag from the start.
- For Policymakers: Projects like Fermi America and Stargate were framed as national competitiveness imperatives, ways to ensure that AI infrastructure stays on American soil. If these projects fail, it could raise questions about the government's role in supporting such ventures.
- For the AI Industry: The cooling system bottleneck is a reminder that the physical layer of AI is just as important as the algorithms. Without reliable, scalable infrastructure, the AI revolution hits a wall.
- For Local Communities: In the Texas Panhandle, residents have raised concerns about the environmental impact of a project this size. The Public Citizen advocacy group has highlighted that the state's environmental regulator approved polluting power plants for the project despite community opposition. If the project stalls, those concerns may be moot, but the underlying tension between development and environmental stewardship remains.
A Cautionary Tale or a Bump in the Road?
So, where does this leave Fermi America and the Trump-branded AI data center megaproject?
In the short term, the company faces an uphill battle. It needs a new permanent CEO (an interim leadership team is now in place), a confirmed anchor tenant, and a clear path forward on cooling systems and construction. The Cleanview report estimates that even if Fermi secured a tenant this month, the first buildings wouldn't come online until May 2027, about a year later than initially projected.
In the long term, the project could still succeed. The demand for AI computing power is real and growing. But the Fermi saga is a powerful reminder that grand announcements and political branding can't substitute for the unglamorous, nitty-gritty work of building complex infrastructure.
Neugebauer's own words, delivered the day before his exit, linger in the air: "I may have been naive."
It's a humbling admission, and one that might serve as a warning to anyone who believes that the AI revolution can be built on promises alone.
What do you think happens next? Will Fermi America find a tenant and a new CEO, or is this megaproject destined to fade into the background? Share your thoughts in the comments below, I'd love to hear your take.
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Source Links:
- Axios:
https://www.axios.com/2026/04/19/ai-data-center-project-troubles-texas - UnderCode News:
https://undercodenews.com/trump-linked-mega-data-center-faces-delays-leadership-exit-and-uncertain-future/ - WebProNews:
https://www.webpronews.com/openais-100-billion-stargate-dream-keeps-losing-the-people-tasked-with-building-it/ - Public Citizen (environmental concerns):
https://www.citizen.org/article/fermi-project-matador-texas-environmental-opposition/