Meta’s $3bn Project Walleye: A First-of-Its-Kind AI Data Center Financing That Changes Everything

Meta’s ‘Project Walleye’ Ohio data centre is seeking $3bn in loans where lenders will fund both construction and power — a historic first in hyperscale project finance. Here’s why it matters, who wins, and what Wall Street is choosing not to see.

The Fish That Swallowed the Grid

There is something almost deliberately provocative about the codename. “Walleye” — the freshwater predator native to the lakes and rivers of Ohio — is not, on the surface, an obvious brand for what may be the most structurally consequential financing deal in the short, frantic history of AI infrastructure. And yet the name fits. A walleye hunts in murky water, using superior low-light vision to catch prey that more cautious creatures cannot see. The investors circling Meta’s Ohio data centre campus are doing something similar: extending credit into territory that the conventional project finance market has, until this week, refused to enter.

The Financial Times reported this week that a data centre campus backed by Meta — codenamed “Project Walleye” and located in Ohio — is seeking $3 billion in loans in a deal that would be the first of its kind: a structure in which lenders finance not merely the building itself but the power infrastructure required to run it. In one transaction, the walls between real estate finance and energy finance dissolve. What emerges is something new — an integrated asset class that reflects the uncomfortable truth that, in the age of generative AI, a data centre without its own power source is not a data centre at all. It is an aspiration.

What Makes Project Walleye Genuinely Different

To understand why this deal matters, you need to understand what it is not. It is not another hyperscale sale-leaseback, of which Meta has already produced several. It is not the $27–30 billion Hyperion deal in Louisiana, a monument to financial engineering in which PIMCO anchored a debt package rated A+ by S&P, the bonds traded above par at 110 cents on the dollar, and Blue Owl ended up owning 80% of a facility that Meta will lease back under a triple-net structure. The Hyperion deal was bold, but its logic was recognisable: secure an investment-grade lease from a AAA-adjacent tenant, wrap it in a special-purpose vehicle, and sell it to insurers hungry for long-duration yield. The project finance market has been doing versions of this for airports and toll roads for decades.

Project Walleye is different in a way that seems technical until you think about it carefully, at which point it becomes radical. Lenders have previously financed data centre buildings. Lenders have financed power plants. What they have not done — until now, apparently — is finance them together, as a single integrated asset, in a single loan package. The reason is straightforward: the two asset classes carry different risks, different depreciation curves, different regulatory frameworks, and different exit strategies. A building, in theory, can be repurposed. A 200-megawatt gas peaker plant built directly on a hyperscale campus for one tenant is considerably harder to redirect if that tenant walks away.

By choosing to blend these two risk profiles into a single $3 billion loan, the lenders on Project Walleye are making a statement about how they think the AI infrastructure world works now. They are saying, in effect, that the power asset and the compute asset are not separable. That the collateral is not a building plus some turbines — it is an energy-compute system, a new kind of thing that requires a new kind of underwriting.

This is, to use the technical term, a genuinely big deal.

Why Now? The Physics of the AI Arms Race

The timing is no accident. Meta’s capital expenditure guidance for 2026 runs to $115–135 billion — roughly double what the company spent in 2025, and approximately 67% of its projected annual revenue. Mark Zuckerberg has committed to what he privately described to President Trump as more than $600 billion in US investment through 2028. The company is simultaneously building Prometheus, a 1-gigawatt supercluster in Ohio expected to come online in 2026; Hyperion in Louisiana, which could eventually scale to 5GW; and a 1GW campus in Lebanon, Indiana that broke ground in February. The numbers have stopped sounding like corporate announcements and started sounding like industrial policy.

The problem — and this is the problem that Project Walleye exists to solve — is that the US electricity grid was not designed for any of this. Ohio’s Sidecat campus sits in a region where grid load is expected to quadruple within two years. AEP Ohio is building two 13-mile, 345-kilovolt transmission lines specifically to serve data centre demand, with construction running through 2027. Meta, unwilling to wait, has had a 200-megawatt natural gas plant approved for direct construction on the campus itself. It has signed 20-year nuclear power agreements with Vistra covering plants near Cleveland and Toledo. It has backed Oklo’s advanced nuclear development in Pike County, targeting 1.2GW of baseload capacity by the mid-2030s.

The pattern is clear: the hyperscalers have concluded that waiting for the grid is a strategic error. Power is now a competitive moat, not a utility bill. And if power is a competitive moat, it has to be financed — which means it has to be financeable. Project Walleye is the financial industry’s attempt to catch up with that logic.

The Broader Architecture: Private Credit’s Defining Moment

Project Walleye does not exist in a vacuum. It is the latest iteration of a financing revolution that has been building since 2024, when it became apparent that the traditional bank syndication market — adequate for the $50–100 million data centre deals of the pre-AI era — was simply not structured to handle transactions at the scale the hyperscalers require.

Of the roughly $950 billion of project debt issued in 2025, approximately $170 billion was for data centre-related loans — an increase of 57% from the prior year, according to IJGlobal. Morgan Stanley expects $250–300 billion of issuance in 2026 from hyperscalers and their joint ventures alone. The investment-grade corporate bond market has absorbed $93 billion from Alphabet, Amazon, Meta, and Oracle in 2025 alone — roughly 6% of all debt issued. The ecosystem that has emerged to fund this is a coalition of private credit funds, insurance company balance sheets, sovereign wealth vehicles, and pension capital, all chasing long-duration, investment-grade-adjacent yield in a world where traditional fixed income cannot provide it.

Blue Owl, PIMCO, Apollo, KKR, Carlyle, and Brookfield have all competed for pieces of Meta’s deal flow. Morgan Stanley has served as the choreographer, engineering structures that satisfy accounting standards (keeping the debt off Meta’s balance sheet), ratings agencies (securing A+ classifications on what is, at some level, a bet on continued AI adoption), and regulators (navigating the complex intersection of utility law, real estate finance, and project debt). The Hyperion SPV structure — in which Blue Owl owns 80%, Meta owns 20% with a residual value guarantee, and the bonds trade freely in secondary markets — is now something of a template. Project Walleye suggests the template is being stretched.

Who Wins, Who Bears the Risk, and What the Rating Agencies Are Not Saying

The winners, in the immediate term, are obvious enough. Meta preserves its balance sheet flexibility by financing infrastructure off-book, freeing cash for AI model development, chip procurement, and the talent wars that the Zuckerberg superintelligence unit has turned into a $15 billion recruiting exercise. The private credit funds and insurance companies that lend into these deals collect spreads that, in a world of compressed returns, look genuinely attractive — around 225 basis points over US Treasuries for the Hyperion bonds, which immediately traded above par.

The risk profile is more interesting — and more contested. The structural risk in Project Walleye is the one that applies, in more or less severe form, to every deal in this space: technological obsolescence. A lender who finances a building is, ultimately, betting on the enduring value of physical real estate. A lender who finances a power plant is betting on the value of generation assets. A lender who finances both, integrated around a single hyperscaler tenant on a 20-year lease, is betting on the continued relevance of the specific compute architecture that tenant requires today. As one sophisticated buyer of securitised debt told the FT, they were actively avoiding such deals over concerns that “the properties would be obsolete by the time the debt matured.” That is not a fringe view. It is the view of a sophisticated institutional investor looking at the same deal terms that PIMCO and its peers are embracing with apparent enthusiasm.

The power plant component of Project Walleye compounds this. A 200-megawatt gas plant built to serve a single data centre campus has a 30-year engineering lifespan and a 20-year economic lifespan. If the data centre’s lease is not renewed — enabled, as the Union of Concerned Scientists noted acidly in the Louisiana context, by the very SPV structures that allow Meta to walk away after four years — the cost of that stranded power asset does not disappear. In Louisiana, it would appear on household utility bills. In Ohio, the stranding risk falls, ultimately, on the lenders themselves. This is a materially different risk from anything the project finance market has previously priced.

The rating agencies, characteristically, are lagging. A+ ratings on complex SPV debt backed by residual value guarantees from a company whose own guidance on capex swings by tens of billions of dollars between quarters is not a judgment about the intrinsic value of the asset. It is a judgment about Meta’s current creditworthiness. Those are different things, and conflating them is precisely how credit cycles go wrong.

The Geopolitics of Electricity: Ohio as a Battleground

There is a geopolitical dimension to Project Walleye that deserves more than a footnote. Ohio has, in the space of roughly 18 months, become one of the most strategically contested pieces of energy geography in the United States. The former Portsmouth Gaseous Diffusion Plant in Pike County — once a pillar of America’s nuclear weapons programme — is now the site of a joint SoftBank-AEP Ohio data centre and power project backed by $33.3 billion in Japanese funding tied to Trump’s US-Japan Strategic Trade and Investment Agreement, promising 10GW of compute and 9.2GW of natural gas generation. Oklo is building advanced nuclear reactors on the same former federal land. Meta has signed agreements with Vistra for nuclear offtake from existing Ohio plants.

In this context, Project Walleye is not merely a financing innovation. It is a territorial claim. By integrating power finance with building finance in a single transaction, Meta is asserting that its Ohio presence is not a campus — it is infrastructure. The kind of infrastructure that states build roads and transmission lines to support. The kind of infrastructure that receives tax abatements approved by emergency resolution, under NDAs, before residents know who the developer is. The kind of infrastructure that, once financed at the scale of $3 billion with a 20-year lease and its own dedicated power plant, is effectively impossible to unwind without significant political and financial consequences.

This is, depending on your perspective, either the healthy industrialisation of a Rust Belt state that has been waiting decades for transformative investment, or a slow-motion capture of public energy infrastructure by private capital operating at sovereign scale. Probably it is both.

The Contrarian Case: What Could Go Wrong

Let me steelman the bear case, because the bull case is writing itself in every term sheet signed between Midtown Manhattan and Menlo Park.

The first risk is concentration. The $3 trillion AI infrastructure build-out is, at its foundation, a bet on a single technology paradigm — transformer-based large language models running on Nvidia GPU clusters — persisting long enough to justify 20-year debt maturities. If DeepSeek’s efficiency breakthroughs in early 2025 were a warning shot, the Llama 4 reception and the broader question of whether inference will be as compute-intensive as training suggest the compute requirements curve could flatten or invert faster than the bond maturities on Hyperion or Walleye.

The second risk is political. The community pushback at Meta’s Piqua, Ohio development — where city commissioners signed NDAs before residents knew who the developer was — is not an isolated incident. It is a preview of the democratic backlash that follows when infrastructure of this scale is deployed faster than local governance can process it. Ratepayer revolts, state legislative restrictions on data centre power priority, and federal scrutiny of the off-balance-sheet structures that allowed these deals to avoid the balance sheet of a AAA-rated tech company are all foreseeable.

The third risk is the one nobody in this market talks about, because naming it feels impolite: Mark Zuckerberg. Meta’s ability to service all of this off-balance-sheet debt — to renew those leases, honour those residual value guarantees, maintain those long-term nuclear offtake agreements — depends on Meta remaining a dominant, profitable company for two decades. The residual value guarantee on Hyperion is only as good as Meta’s balance sheet. And Meta’s balance sheet, magnificent as it currently is, is 67% committed to capex guidance that assumes AI pays off at a scale that has not yet been demonstrated.

What Investors and Policymakers Should Do Next

Project Walleye will not be the last of its kind. If it closes at anywhere near $3 billion with the integrated construction-plus-power structure the FT describes, it will become the reference transaction for every hyperscaler in America trying to finance its own power independence. Morgan Stanley’s phone will ring. So will every ratings agency’s model team, every insurance company’s alternatives desk, and every sovereign wealth fund that has been circling digital infrastructure without quite finding the right entry point.

For investors, the opportunity is real but requires a discipline the market has not yet consistently displayed. Price the obsolescence risk. Distinguish between an A+ rating on a Meta-backed lease and an A+ assessment of a 200-megawatt gas plant built in 2026 for a tenant whose compute architecture may look unrecognisable in 2040. Demand transparency on exit mechanisms, walk-away provisions, and stranded asset liabilities. The Hyperion bonds traded to 110 cents on the dollar not because they were priced correctly but because demand exceeded supply. That is a market signal about appetite, not about fundamental value.

For policymakers — particularly in Ohio, Louisiana, and the dozen other states now competing aggressively for hyperscale investment — the lesson of Project Walleye is that the financial structure of these deals has real-world consequences that extend beyond the fence line of the campus. When lenders finance the power plant alongside the building, who bears the residual risk if the tenant leaves? That question deserves a legislative answer before the next $3 billion deal closes, not after.

For the rest of us, watching the walleye hunt in the murky water of AI infrastructure finance, the appropriate response is not panic, and it is not uncritical enthusiasm. It is the kind of careful attention that this particular fish, with its superior low-light vision, would understand: the ability to see clearly in conditions that are genuinely, sometimes deliberately, obscure.