The Frame: AI Capex Tops the Railroads on Every Measure Brookings Tracks
Brookings's \"Financing the AI Buildout\" (Stijn Van Nieuwerburgh, Columbia; summary by David Skidmore, Sep 23, 2026) projects $10.3 trillion of U.S. AI infrastructure investment — data-center buildings, power systems, networking, and specialized chips — from 2025 through 2032. That works out to about 3.6% of GDP per year, a level higher than every major U.S. buildout the authors benchmark against. The historical ranking in Van Nieuwerburgh's underlying paper puts railroads (1865–1890) at roughly 2.4% of GDP, the Interstate Highway System at 1.6%, electrification at 1.1%, and the 1996–2003 telecom build at 0.8%.
| Buildout | Period | Avg. % of GDP |
|---|---|---|
| AI data-center infrastructure | 2025–2032 | ~3.6% |
| U.S. railroads | 1865–1890 | ~2.4% |
| Interstate Highway System | 1956–1973 | ~1.6% |
| U.S. electrification | 1905–1925 | ~1.1% |
| Telecom / fiber buildout | 1996–2003 | ~0.8% |
The reason the gap matters: in the 1870s, railroad capex consumed roughly 15–20% of all U.S. net capital formation at its peak — enough to crowd out other investment and enough to break the financial system when the bond market turned. AI capex at 3.6% of GDP, layered on a much larger economy, is doing the same thing to private credit and the investment-grade debt market, but through off-balance-sheet structures the bond market can't see.
The 1873 Playbook: Financing Breaks First, Then the Operators
The Panic of 1873 did not start with a railroad accident or a demand collapse. It started with a bank — Jay Cooke & Company, the largest U.S. financier of the Union war effort — unable to roll Northern Pacific Railway mortgage bonds on Sep 18, 1873. Cooke had borrowed heavily to build the transcontinental line and could not sell the bonds abroad because German and Central European capital had withdrawn after the Vienna real-estate bust earlier that year. Within weeks, 55 U.S. railroads had failed; another 60 followed by the first anniversary, the New York Stock Exchange had closed for ten days from Sep 20, and the U.S. entered a depression that ran to 1877 and peaked in unemployment of 8.25% in 1878.
Van Nieuwerburgh's paper isolates the equivalent of Cooke's bond book — and shows it has already grown materially. Hyperion, Meta Platforms' 2 GW Louisiana data-center project, was financed through an SPV called Beignet that raised about $27 billion of external debt in October 2025 — the largest single investment-grade corporate debt issuance in U.S. history. Beignet's debt carries an A+ rating (one notch below Meta's), a 6.58% yield roughly 100 basis points above Meta's own corporate curve, and 90% asset-level leverage. The bond matures in 2049 and is repaid from five successive four-year lease payments by Meta — a structure that, under current GAAP, leaves both the lease and the residual-value guarantee off Meta's balance sheet.
Off-balance-sheet hyperscaler leases
~$660B
Moody's estimate; $970B total lease commitments across Big Five
Beignet debt raised (Meta Hyperion)
$27B
October 2025; largest IG corporate debt issuance in U.S. history
Beignet yield vs. Meta corporate
+~100bps
6.58% coupon vs. Meta's IG curve; >$5B extra interest over bond life
Asset-level leverage (Beignet)
~90%
$27B debt on $30B project; A+ rated, one notch below Meta
Railroads failed by Nov 1873
55
Plus 60 more within 12 months; NYSE closed 10 days from Sep 20, 1873
The point is not that any one SPV will fail. The point is that the buildout is structurally dependent on the same opaque, off-balance-sheet, asset-level leverage that economists now flag as the systemic-risk channel — the same channel Cooke's bondholders held in 1873, with the same dependency on a small number of investment-grade tenants whose cash flows must remain intact for the structure to hold.
Upstream: Power-Grid OEMs and Utilities Are the New 'Rail Steel'
In the 1870s the upstream bottleneck was steel, ties, and locomotives — and the companies that supplied them captured outsized returns until the bust. The 2026 upstream bottleneck is power: grid equipment, transformers, switchgear, gas turbines, and behind-the-meter fuel cells. The order books at the equipment vendors are starting to look like the rail-equipment order books of the late 1860s.
- GE Vernova reported a $176 billion total backlog at its most recent update, up from $150 billion at year-end 2025, with Q2 2026 orders of $24.2 billion running 88% above the prior year organically — driven by data-center electrification demand.
- Eaton posted electrical-Americas backlog growth of 48% YoY in Q1 2026, with the data-center share of bookings already exceeding full-year 2025 totals in a single quarter.
- Quanta Services — the largest U.S. transmission and distribution contractor — is running record backlog as the grid hardens around AI load centers, with no listed peer at comparable scale.
- Bloom Energy closed Q2 2026 with a $20 billion total backlog, more than $5 billion of data-center fuel-cell orders, and a planned doubling of Fremont output from 1 GW to 2 GW by year-end 2026.
- Meta Platforms signed 20-year power purchase agreements with Vistra and Constellation Energy in 2025–2026 covering up to 6.6 GW of nuclear capacity by 2035 — the most concentrated utility-of-the-future bet on the AI buildout to date.
GE Vernova total backlog
$176B
Latest disclosed; up from $150B at YE 2025
GE Vernova Q2 2026 orders
$24.2B
+88% YoY organic; electrification segment pacing ahead
Eaton electrical-Americas backlog
+48% YoY
Q1 2026; data-center share of bookings accelerating
Bloom Energy backlog
$20B
Q2 2026; $5B+ from data centers; Fremont output doubling
Meta–Vistra nuclear capacity locked
6.6 GW
By 2035; plus 1,121 MW Constellation Illinois PPA
If a Brookings-style scenario plays out — even a partial one — the upstream equipment vendors carry the most asymmetric upside in the buildout, with multi-year contracted backlog that survives the kind of demand wobble that would hit the SPV-financed projects first. They are the closest modern analog to a 19th-century rail-equipment supplier.
Downstream: Modern Railroads Sit Where the 1873 Railroads Sat — Data-Center REITs Sit Closer to the Financiers
The freight rails — Union Pacific, CSX, Norfolk Southern — are the most direct operating analog to the 1870s railroads: capital-intensive, network-effect businesses with pricing power that strengthens in a downturn as truck-to-rail conversion accelerates. Q2 2026 results show the operating model is intact: Union Pacific reported operating revenue of $6.9 billion, up 12% year-over-year, with freight revenue of $6.5 billion. Class I volume rose across the board in Q1 2026 — CSX +6%, Norfolk Southern +4%, CN +5%, Union Pacific +2% on a revenue-ton-mile basis.
- Union Pacific's pending acquisition of Norfolk Southern creates a transcontinental franchise explicitly designed to reclaim truck freight — the same operating logic that let 1880s rails recover after the 1873 panic.
- Modern freight rails have investment-grade balance sheets and regulated pricing power the 1870s rails did not — the single biggest structural break from the historical analog.
- Bloom Energy and Quanta Services are the picks-and-shovels that get paid regardless of which hyperscaler or utility wins each gigawatt.
The data-center REITs — Equinix, Digital Realty — sit in a less comfortable position. They are the closest listed analog to the financiers, not the operators: their revenue depends on hyperscaler tenants whose own capex is the capex that drives the bubble. Equinix trades near 24x 2026 AFFO per share on guidance of 10–12% AFFO growth; Digital Realty trades around 22x core FFO with Q2 revenue up 29% to $1.9 billion. Both stocks have already drawn explicit AI-slowdown warnings from management — Equinix's CEO pushed back, but only after the share price moved first.
Where the Parallels Hold — and Where They Break
Three parallels are real. AI capex as a share of GDP now exceeds the railroad peak (3.6% vs 2.4%). The financing has migrated off-balance-sheet into SPVs, private credit, and securitizations — exactly the structural migration that turned the 1870s railroad bond market into the panic's ignition point. And the cash-flow claims of the off-balance-sheet vehicles depend on a small number of investment-grade tenants — Meta, Microsoft, Alphabet, Amazon, Oracle — whose ability to perform is the entire system's load-bearing assumption.
Three breaks matter. The 1873 financiers had no federal backstop; today's hyperscalers fund in markets where the U.S. Treasury is the marginal price-setter of risk-free rates and a coordinated Fed response is the baseline expectation. The 1873 railroads sold into a competitive freight market with no pricing power; modern rails and utilities operate under regulated or quasi-regulated pricing models that hold up in downturns. And the 1873 bankruptcies were equity-funded by bondholders with no recovery; today's SPV debt is bankruptcy-remote, with collateral pools, residual value guarantees, and credit enhancements that change the recovery math even if the operating thesis breaks.
Horizons: What Moves in Days, What Breaks in Years
Short-term (days to quarters). The first signal is hyperscaler capex guidance. Microsoft has guided roughly $175 billion of 2026 capex (per a FactSet compilation cited in the WSJ), Amazon around $220 billion, Alphabet $195–205 billion, Meta Platforms $130–145 billion. A single downward revision from any of them resets the financing math for roughly $300 billion of contracted SPV debt that depends on the tenant's lease commitments holding. Watch the next two earnings cycles and the Moody's commentary on lease off-balance-sheet treatment — that is the modern equivalent of the bond market failing to roll Cooke.
Long-term (1–3 years). The structural implication is who carries the buildout when the buildout slows. The 1873 analog says bondholders and construction suppliers take the loss; the operating rails recovered within a decade. Today's analog points the same way: GE Vernova, Eaton, Quanta Services, and Bloom Energy carry backlog that survives a 2027 demand air pocket; Blue Owl Capital and other private-credit lenders carry the asset-level concentration; Equinix and Digital Realty carry the multiple. At 22–24x forward FFO, a 200-basis-point rise in cap rates wipes out several years of AFFO growth. The investor question for the next 36 months is not whether the buildout slows — Brookings's framework implies it must, because 3.6% of GDP is unsustainable. The question is which listed names have already locked in enough contracted revenue to outlast the air pocket, and which are still priced for a buildout the bond market will not roll at the current coupon.
Stocks that sit where the 1873 railroads — and their bondholders — sat
- Locks in $176B of contracted backlog at its latest update, up from $150B at YE 2025 — the clearest AI-power order book on a listed-equity tape.
- Q2 2026 orders of $24.2B ran 88% above the prior year organically, with electrification bookings already exceeding 2025 full-year totals in a single quarter.
- Multi-year order cover absorbs a 2027 demand air pocket, making GEV the closest modern analog to a 19th-century rail-equipment supplier.
- Adds 48% YoY to electrical-Americas backlog in Q1 2026, with the data-center share of bookings pacing ahead of full-year 2025 totals in a single quarter.
- Switchgear, transformers, and power-conversion gear sit upstream of every AI data-center capex dollar, with no listed substitute at scale.
- Multi-quarter order cover provides a cushion even if hyperscaler capex guidance turns down in late 2027.
- Runs record backlog as the U.S. transmission grid rebuilds around AI load centers, the only scaled domestic T&D contractor at this volume.
- Hyperscaler site selection is increasingly constrained by grid availability — Quanta benefits regardless of which utility or hyperscaler wins each gigawatt.
- Operating leverage on grid-hardening capex is structurally larger than on commodity transmission work.
- Holds 20-year PPAs with Meta covering up to 6.6 GW of nuclear capacity, the single largest utility-of-the-future contract tied to a single hyperscaler.
- Existing nuclear and gas fleet provides dispatchable, behind-the-meter power that data-center operators prefer for reliability and ESG reasons.
- The fleet mix hedges a power-price reset if AI load growth undershoots Brookings's 3.6%-of-GDP base case.
- Hosts the Meta 1,121 MW Illinois nuclear PPA and stands as the largest pure-play U.S. nuclear generator — the asset class hyperscalers are falling over themselves to lock.
- Fleet uprates and license extensions convert existing zero-marginal-cost capacity into 20-year contracted cash flows at premium yields.
- If AI capex slows, the PPA backlog is what keeps CEG's earnings trajectory intact while spot-power peers reset.
- Prints Q2 2026 operating revenue of $6.9B, up 12% YoY, with the pending Norfolk Southern merger explicitly designed to reclaim U.S. freight from trucks.
- Modern freight rails have investment-grade balance sheets and pricing power the 1870s rails did not — the single biggest structural break from the historical analog.
- Truck-to-rail conversion accelerates in a downturn, the 2026–2028 analog of how 1880s rails recovered after the 1873 panic.
- Trades near 24x 2026 AFFO per share, a multiple that already drew an explicit AI-slowdown warning from the CEO in September 2026 after the stock sold off.
- Cash flows are a claim on the buildout, not a share of operating returns — sitting closer to the 1870s mortgage-bond trusts than to a railroad operator.
- Any capex reset from Meta, Microsoft, or Amazon hits Equinix's re-leasing economics 12–24 months before it hits upstream equipment vendors with contracted backlog.
- Carries the asset-level concentration that mirrors Jay Cooke's 1873 bond book — the largest single equity holder in Meta's Beignet SPV at $2.5B, plus the $30B data-center debt book that financed Hyperion.
- Credit-fund redemption anxiety already surfaced in Q2 2026 results, with one fund permanently gated to prevent quarterly withdrawals — the closest modern echo of Jay Cooke's depositor run.
- Private-credit valuation is more sensitive to AI-tenant cash-flow assumptions than to AI capex guidance itself; the channel breaks before the operating thesis does.
