Powering the AI revolution: credit ratings agency scrutiny and the criticality of credit ratings in data centre financing
The global race to build the infrastructure for the artificial intelligence era is well underway, with industry forecasts projecting data centre and AI infrastructure investment to reach into the trillions by the end of the decade. The sector is rapidly transitioning into a highly capital-intensive, asset-heavy model.
Major players across the digital infrastructure ecosystem are deploying vast amounts of capital to meet this unprecedented compute demand: established wholesale and global interconnection giants, massive international operators, power-dense campus providers and highly specialised AI compute platforms. Building the physical backbone of AI requires a staggering quantum of external funding. In today’s macroeconomic environment, however, how this growth is financed is just as critical as where it is built.
The danger of “VC-like bets” in fixed income
Beyond the sheer scale of funding requirements, this influx of capital is attracting intense scrutiny from credit rating agencies. The volume of debt required has led some market participants to liken these infrastructure investments to fixed-income capital making venture-capital-like bets.
There is a fundamental mismatch in this risk approach. A VC fund can endure multiple losses, knowing that one exponential success will cover the portfolio’s shortfalls. Fixed-income investors, conversely, face capped returns – they either receive their principal and yield, or they suffer a loss; there is no equity upside to compensate for outsized risk. Because lenders face this asymmetric risk profile, rating agencies are rigorously stress-testing project viability, construction delays, local permitting pushback and lease transferability.
The Oracle case study: a warning on rating thresholds and capital strain
The current market environment is unforgiving to structural vulnerabilities and mispriced risk, as demonstrated by the recent challenges surrounding Oracle’s infrastructure expansion. Driven by a massive AI build-out and a heavy concentration of future revenue tied to a landmark contract with OpenAI, Oracle has faced severe credit rating agency, regulatory and capital markets scrutiny.
The practical consequences of a company’s credit rating falling short of regulatory expectations are already playing out in Wisconsin. When the state’s utility regulator tightened credit requirements to protect local ratepayers from the infrastructure costs of new data centres, it set a strict ‘A-’ rating threshold to avoid posting collateral. Oracle was rated ‘BBB’ at the time – already two notches below this newly imposed requirement. As a direct result, the firm was subjected to a USD 7 billion collateral requirement, triggering over USD 100 million in annual carrying costs.
Simultaneously, Oracle’s broader credit profile deteriorated. In July, S&P Global Ratings downgraded Oracle to ‘BBB-’, just one notch above speculative grade, citing an uncertain path to profitability, escalating capital expenditure projected to reach USD 90–95 billion for fiscal 2027, and massive off-balance-sheet data centre lease liabilities. The fallout is evident in New Mexico, where an USD 18 billion data centre campus leased to Oracle has faced fierce local opposition and blocked power permits, and the project’s loans have been quoted at distressed levels of 89 to 91 cents on the dollar.
Oracle serves as a stark reminder that even established technology incumbents are not immune to the financial strain of AI capital expenditure – and that a credit rating does not merely dictate the cost of debt; it fundamentally affects regulatory treatment, operational liquidity and overall project viability.
Winners, losers and tethered risks
Given the pressures of the current interest-rate cycle and the staggering capital expenditure required, we expect certain development companies will inevitably come under financial strain. There will be distinct winners and losers, and a project’s long-term viability will largely depend on which AI firm it is tethered to. If a remote, purpose-built AI training data centre loses its primary hyperscaler tenant, or is tied to an unproven AI start-up that ultimately falters, repurposing that highly specialised asset will be incredibly difficult. Developers are also increasingly navigating local opposition, stringent regulatory collateral requirements and permitting delays, all of which test the robustness of their financing structures.
Positioning the credit narrative: data centres as the new utilities
In an environment where agencies are heavily scrutinising uncompleted projects, achieving optimal ratings requires a flawless credit narrative. At ALPHA Ratings Advisory we position data centre portfolios not as speculative commercial property, but as utility-like digital infrastructure. We emphasise the sector’s highly contracted and committed cash flows, delivering strong long-term visibility and low counterparty risk when tied to the right tenants, and we frequently draw direct parallels to the telecom tower sector to help credit committees understand the risk profile. Just as mobile network operators underpinned the stable growth of tower providers, today’s data centres are underwritten by the world’s highest-rated technology companies: AI hyperscalers will pay their data centre leases because their business models depend on it.
The strategic imperative of ratings advisory
A credit rating is no longer just a metric for bond pricing – it is a critical operational threshold that can trigger billions in unforeseen collateral requirements or lock a project out of the institutional capital markets entirely. In a market where rating agencies are peeling back every layer of counterparty risk and rigorously evaluating lease structures, a reactive approach to credit ratings is a dangerous gamble.
Every single credit rating notch makes a material difference: we estimate that securing a one-notch upgrade saves issuers approximately 25 basis points on average in the investment-grade space, and 50 basis points on average in speculative grade. When financing debt in the billions, those basis points transform project economics, enhance equity returns and provide the liquidity buffer needed to manage construction and ramp-up phases.
Whether you are navigating a single-asset project financing, a complex corporate hybrid structure or a novel GPU-backed securitisation, our team has the sector expertise to architect your credit story before you go to market – anticipating rating agency stress tests, defending your risk mitigants against intense scrutiny and proactively structuring your capital stack to secure the ratings your projects deserve.