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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchAI data centers need so much borrowing because companies must pay for expensive facilities, computing equipment and power infrastructure well before those assets can produce revenue. Companies can fund some of that buildout from operating cash, but rapid investment plans and long construction timelines make borrowing, leases, joint ventures and customer-backed financing useful ways to fund the gap. Those structures do not make the investment safe: payments can remain due if a facility is delayed, lacks power, sits underused or fails to earn enough from AI services.
What makes an AI data center so expensive?
The bill is for much more than AI chips. A data center combines land and buildings with servers and accelerators, networking, electrical connections and equipment, backup systems, cooling and the capacity to operate and connect the facility. Alphabet defines its technical infrastructure to include servers, network equipment, data-center land, and building construction and improvements. It also identifies depreciation, energy, equipment and network capacity as infrastructure costs.
Alphabet’s 2025 Form 10-K says its AI offerings require more compute power than its historical consumer and enterprise services. The company reported $52.5 billion in capital expenditures in 2024 and $91.4 billion in 2025, and said it expected technical-infrastructure investment in 2026 to increase significantly over 2025. These are Alphabet-wide figures, not a breakdown of spending exclusively on AI data centers.
Projects themselves can be large. In a January 2026 analysis, Carlyle, citing Infralogic data, reported average greenfield data-center project capital expenditure rising from $800 million in 2024 to more than $3 billion. That comparison describes an average in the data Carlyle cited, not a universal price tag for every facility.
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Power and cooling add both cost and complexity. Equinix said in its 2025 Form 10-K that new IBX data centers are being built to support twice the power and cooling needs of its previous IBX facilities. It also identifies power limits and equipment delivery delays as constraints on expansion. A completed shell is not necessarily usable capacity: without adequate power, cooling and delivered equipment, it may not be ready to serve paying workloads.
Why borrow instead of paying for everything with cash?
Even profitable technology companies have competing uses for cash: day-to-day operations, research, acquisitions and other investments, as well as shareholder distributions. When infrastructure investment rises quickly, external financing can let a company build sooner or preserve cash for those other needs. Taking on debt does not by itself show that a company is insolvent or has run out of cash.
Alphabet said it issued debt in 2025 and may continue to assess debt and other financing. It also expects to continue entering finance leases, primarily for data centers, and disclosed credit support for certain infrastructure counterparties. Those commitments matter to a project’s financing picture even when they are not conventional corporate bonds.
Borrowing has grown alongside investment, though the measures depend on source and definition. Carlyle’s January 2026 analysis, citing its analysis and Bank of America data, reported that hyperscalers issued nearly $100 billion in loans and bonds in the final four months of 2025. It also reported that AI-related borrowing accounted for 30% of net investment-grade issuance during 2025—three times the 2024 share. These are Carlyle’s reported figures for those periods, not a total of all AI infrastructure financing.
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Which financing structures do companies use?
There is no single loan type for an AI data center. The key distinction is who owes the money and what cash flow or asset supports repayment. A project may combine more than one structure.
| Structure | How it works | Example in company disclosures |
|---|---|---|
| Corporate borrowing | The operating company borrows and is responsible under its corporate credit. This can provide flexible funding, but adds debt service and uses some of its borrowing capacity. | Alphabet reported issuing debt in 2025. |
| Finance or operating leases | A company obtains use of a facility or equipment and commits to payments over time. Those payments are obligations even though the arrangement is not necessarily a conventional bond. | Alphabet said it expects to enter finance leases primarily for data centers. |
| Joint ventures and partner capital | A developer shares ownership, development or operation with partners, which can reduce the cash one party contributes. The parties’ specific responsibilities depend on the deal. | Equinix describes joint-venture partnerships for developing and operating xScale data centers, with projects that may use upfront payments or long-term financing. |
| Project-level debt | A project company borrows against project assets and expected cash flows. Where contracts and structure allow, lenders may have limited recourse beyond the project; that is not automatic for every project. | Cipher Digital says it has increasingly used project-level financing aligned with asset duration and risk, structured as non-recourse where possible. |
| Securitization | A company raises financing against a pool of assets or cash flows rather than relying only on a single corporate loan. | Brookfield Infrastructure Partners said its U.S. platforms raised over $4 billion in securitization markets during 2025. |
| Customer-backed financing or credit support | Long-term contracts, prepayments, guarantees or backstops can improve confidence in a project’s expected cash flow or a counterparty’s ability to pay. The scope depends on the actual agreement. | Cipher Digital described a Google backstop for certain Fluidstack obligations under specified Barber Lake HPC leases. Alphabet separately reported credit support for certain infrastructure counterparties. |
A customer backstop is not a blanket guarantee of every project or lease payment. Likewise, labels such as “project-level” or “non-recourse” do not reveal the full allocation of risk without the underlying contracts and financing terms.
Why would a lender finance a project before it earns revenue?
A lender or investor needs a credible way to be repaid. A signed long-term lease or customer contract can make future income more visible; a strong counterparty may make that income more credible; and the facility or other assets may have value as collateral. These features can help connect financing to the expected life and cash flows of an asset rather than relying only on a company’s general borrowing capacity.
Brookfield Infrastructure Partners says its development projects are underpinned by long-term contracts, that it seeks strong investment-grade counterparties, and that it matches capital structures to the tenor of contracted cash flows. Cipher Digital similarly says long-term leases with large, creditworthy counterparties have enhanced its projects’ credit profile and access to debt and structured financing. These are descriptions of the companies’ approaches, not evidence that every data center has guaranteed revenue or equally secure contracts.
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Brookfield’s Q4 2025 letter estimated approximately $500 billion of corporate investment in AI-related infrastructure during 2025, including more than $350 billion from five U.S.-based hyperscalers. That is Brookfield’s estimate of investment, not a measure of borrowing alone. It illustrates why internal cash, debt and other financing structures may all be involved in a buildout on this scale.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What risks remain after a project is financed?
Financing can shift risk among a parent company, developer, project entity, customer and lender, but it does not make the underlying business case certain.
- Construction and power: Permitting, grid interconnection, equipment delivery, labor or site constraints can delay a facility. Equinix identifies power limits and equipment delivery delays as constraints. If revenue starts late while construction or financing costs continue, cash flow may fall short of expectations.
- Customer and utilization: A forecast only helps repayment if expected demand becomes paid workloads. A facility with capacity that customers do not use—or cannot pay for—may not earn enough to meet fixed obligations.
- Overbuilding: If companies add more capacity than customers want or can afford, competition for tenants and workloads can weaken expected returns. Brookfield’s Q4 2025 letter identifies overbuilding as a sector risk.
- Technology change: A long-lived building or power commitment may outlast a particular chip generation or workload. Brookfield also flags technological change and disruption as compute requirements and capabilities evolve.
- Obligation and counterparty risk: Guarantees, lease payments and other support may apply only to particular parties or obligations. If a customer, supplier or other counterparty cannot meet its commitments, the project’s expected cash flows may change.
How to compare two data-center financing arrangements
Headline debt totals can miss leases, guarantees, partner funding and project-level obligations. When comparing arrangements, ask:
- Who owes the money? Identify whether it is the parent company, a developer, a special-purpose project company, a tenant or more than one party.
- What supports repayment? It may be general corporate cash flow, a particular asset or asset pool, a lease, a customer contract or a third-party guarantee.
- Do financing and revenue last for similar periods? If a customer contract ends before the related debt is repaid, the borrower may need to find a new tenant or another source of cash.
- Who bears delivery and power risk? Check which party is responsible if construction, grid connection, equipment or site readiness is delayed.
- Who bears demand and technology risk? A long-term financing commitment can be harder to support if customers need less capacity than expected or computing requirements change.
- What flexibility is given up? Fixed payments, collateral, guarantees and long-term leases may help secure financing but restrict future choices.
Company spending totals, borrowing estimates and project costs should not be added together without reconciling their definitions. They can cover different companies, regions and periods, and may include different mixes of equipment, buildings, power infrastructure, leases or other commitments.
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