Research as of October 11, 2026

Summer 2025

OpenAI needed more data centers than it could build. So it asked Oracle.

Oracle would build five campuses in Texas, New Mexico, Wisconsin and Michigan, then rent the computing power back to OpenAI for about five years starting in 2027.

Campuses
5campuses, about 23 buildings
Floor space
12.05Msq ftof floor space, about 209 football fields
Power
4.5GWof power, about four large nuclear reactors
Contract
$300Bcontract, about $30B a year for five years

Where the $300 billion goes (estimates)

  • $60Bbuildings, land, power, cooling
  • $130Bservers, GPUs, networking
  • $110Bfive years of power, operations, financing and Oracle's margin

The five campuses, drawn to scale as one-story footprints. Each filled block is a building.

Scroll

Then pieces started falling off.

  1. Stargate is announced at the White House

    OpenAI, SoftBank, Oracle and MGX promise $500 billion over four years: 10 GW, framed as about 20 data centers.

  2. OpenAI goes straight to Oracle

    The SoftBank side of Stargate has built almost nothing. OpenAI signs with Oracle for 4.5 GW of new capacity, about $30 billion a year.

  3. The price: about $300 billion

    The Wall Street Journal reports the contract runs about five years, starting around 2027.

  4. The sites are named

    Shackelford County, Texas and Doña Ana County, New Mexico, plus a Midwest site that becomes Port Washington, Wisconsin and Saline Township, Michigan. A 600 MW expansion at Abilene, Texas is still being negotiated.

  5. Michigan loses its money partner

    Blue Owl declines to fund the $10 billion of equity for the Michigan campus. Some sites slip from 2027 to 2028.

  6. OpenAI shrinks its own plans

    OpenAI cuts its 2030 computing target from about $1.4 trillion to about $600 billion.

  7. The Abilene expansion is dropped

    Financing dragged and OpenAI's needs kept changing. Three weeks later, Crusoe leases the land to Microsoft instead.

  8. OpenAI would rather rent

    Stargate Norway goes to Microsoft and Stargate UK is paused. Reports say OpenAI has effectively abandoned building its own Stargate data centers in favor of leasing.

  9. Oracle is one notch above junk

    S&P cuts Oracle's credit rating to BBB- and names OpenAI as a key risk.

  10. Force majeure in New Mexico

    Oracle sends a force-majeure notice on Project Jupiter, seeking up to three years of rent deferral if it misses 2028.

  11. As of October 2026 the $300 billion contract still stands, on paper. It is the most closely watched data center deal in the world.

That was one deal.Now zoom out.

Every large data center campus finished since 2023, under construction, or planned, around the world. Then an estimate of the ones nobody has announced.

Campuses
5OpenAI's ask
Floor space
12.05Msq ft
Power
4.5 GWcontracted
Money
$300Bcontract

Start with the deal.

Each circle is one data center campus, sized by its power. In the middle are OpenAI's five Oracle sites. The dashed one is the Abilene expansion, dropped in March 2026.

Now add every campus announced since 2023.

533 campuses in 41 countries: running, under construction, or planned. Each one is a row in the research file with its own source.

The biggest are bigger than the whole OpenAI deal on their own.

Then the ones nobody announced.

Big campuses hide behind shell companies and code names. Meta's Indiana campus was filed as Project Domino by Orla LLC. Ohio approved Project Klondike under a non-disclosure agreement.

Our estimate: about a quarter of the buildout is unreported (15 to 40%). The dashed circles stand in for it.

Thirteen campuses are each bigger than OpenAI's whole deal.

Outlined: single campuses over 4.5 GW. Four are in Utah. Most are being built by companies few people have heard of, like Joule, Creekstone, Valar Atomics and Pacifico Energy.

  • OpenAI's Oracle sites
  • Announced campuses
  • Unreported (estimate)
  • Bigger than the whole deal

Measured in OpenAI deals

Each square is the entire OpenAI and Oracle deal. The amber square is the deal itself; the blue ones are what's being built everywhere else.

134×

the floor space

1.62 billion sq ft. Laid out flat, about 58 square miles: nearly the land area of Washington, D.C.

122×

the power

547 GW. More than the whole US grid delivers on an average hour today, about 480 GW.

57×

the money

$17.0 trillion: $5.5T for buildings, land, power and cooling, and $11.5T for the servers and chips inside. About 2.4 years of the entire federal budget.

Counting only what is likely to actually get built, the total is still $10.6 trillion, or 35 OpenAI deals. Money is the smallest multiple because the OpenAI contract also pays for five years of electricity, operations and Oracle's margin.

Most of it is going up across the United States.

The US holds 283 of the 411 known gigawatts, spread over 362 campuses. Each square shows a state's planned data center power.

Square area is planned power (largest: Texas, 63 GW)States with an OpenAI and Oracle site

Utah: 49 GW

16 campuses. On an average day the entire state uses about 4 GW of electricity. The Stratos project alone, 9 GW on 40,000 acres in Box Elder County, would use about 2.3 times all the electricity Utah sold in 2024.

Texas: 63 GW

76 campuses, including three of OpenAI's sites. The state grid operator, ERCOT, has 438 GW of requests from large new power users, 89% of them data centers.

Wyoming, West Virginia, Louisiana

Places with few data centers before 2023 now host some of the biggest: Project Jade (10 GW), Monarch (8 GW) and Meta's Hyperion (5 GW).

Show the state totals as a table

Thirteen campuses, each bigger than the whole deal

The 16 largest known campuses by planned power. The dashed amber line is everything OpenAI contracted from Oracle: 4.5 GW across five sites.

Show the campuses as a table

Where the two storiesstop adding up

One deal was negotiated in public. Every gigawatt and dollar was reported, argued over, and partly walked back. The buildout around it is 57 times larger, mostly unpriced, partly hidden, and paid for in unusual ways.

The headline customer is cutting back. The spending around it isn't.

In the same months OpenAI shrank its 2030 computing plan by more than half and walked away from the Abilene expansion, the four biggest cloud companies planned to raise their spending by another 75%.

OpenAI target: reported Feb 20, 2026. Capex: company filings and 2026 guidance for Microsoft, Alphabet, Amazon and Meta.

OpenAI's 2030 computing plan
Late 2025$1.4T
February 2026$0.6T
Big four cloud capex, per year
2024$251B
2025$416B
2026 guidance$720–745B

The price tags cover the building, not what goes inside.

229 campuses in the list announced a dollar figure. Together they add up to $1.67 trillion for 156 GW, or $10.7 million per megawatt. That is about what the shell, power and cooling alone cost.

Fill the same building with AI servers and the bill roughly triples. Two thirds of the cost of an AI data center almost never appears in the announcement.

Cost per MW: JLL, Cushman and Wakefield, Bernstein, Epoch AI ($38B per GW all-in), Nvidia's Jensen Huang ($50B to $60B per GW).

Cost per megawatt of campus power
Average announced price tag$10.7M
Actually built and filled with AI servers$34M
Building, land, power, cooling: $10MServers, chips, networking: $24M

The government's own count sees about a quarter of it.

The Census Bureau's tally of data center construction reached an $85 billion annual rate in August 2026. But the 66 GW that JLL counts under construction in North America implies $250 to $320 billion of building work a year.

Power plants and substations get booked elsewhere, some campuses are filed as warehouses, and land isn't counted. A member of Congress signed a non-disclosure agreement with Laidley LLC, the shell company behind Meta's Hyperion campus.

US Census C30 private construction spending (2023 $20.0B, 2024 $34.8B, 2025 $49.7B). JLL North America midyear 2026.

Data center construction per year, North America
What the Census counts (Aug 2026 annual rate)$85B
What 66 GW under construction implies$250–320B

The power requests are four times bigger than the announcements.

Texas has about 94 GW of named data center projects. Its grid operator has 438 GW of requests to connect large new power users, and 89% of those are data centers. Someone is planning far more than anyone has announced.

ERCOT large-load queue, June 2026. Named Texas projects from the research list and trackers.

Texas, in gigawatts (square area to scale)
438 GWrequested from the Texas grid by large new users
94 GWof named data center projects in Texas

Utah is planning twelve times the electricity it uses.

Sixteen known campuses in Utah add up to about 49 GW. The whole state averages about 4 GW. Four of the world's six largest planned campuses are in Utah, all in rural Millard, Emery and Box Elder counties, and several plan to build their own gas or nuclear power.

Stratos was approved by Box Elder County on May 4, 2026. A referendum was rejected, and an appeal and a civil-rights lawsuit are pending.

Utah electricity sales 2024: 34.7 TWh. Stratos: Deseret News, May 12, 2026.

Each square is 4 GW

About 4 GWUtah's average electricity use

49 GWplanned Utah data center campuses

It is being paid for with borrowed and off-the-books money.

  • About $3 trillion of data center commitments sit off company balance sheets (WSJ). Meta's Hyperion is held in a roughly $27 billion vehicle that a Blue Owl fund owns 80% of.
  • Chip makers fund their own buyers. Nvidia agreed to invest up to $100 billion in OpenAI, tied to 10 GW of Nvidia systems. AMD gave OpenAI warrants for about 10% of AMD in exchange for 6 GW of chip purchases.
  • Oracle borrowed $43 billion in fiscal 2026. S&P counted $182 billion of data center debt in 2025; UBS sees up to $900 billion of issuance in 2026.
  • Bain estimates AI companies will be $800 billion a year short of the revenue needed to pay for all this by 2030.

FactSet, Introl, S&P, UBS, Bain, WSJ. Details in the research notes.

Share of big cloud capex paid with borrowing
Fiscal 20249%
Mid-202632%

Each track is 100% of capex.

No one agrees on the total, by a factor of eight.

Add up everything announced plus the unreported share and you get $17 trillion. Discount the plans that probably won't happen and it is still $10.6 trillion. Count only what top-down spending can support by about 2030 and it is $6.4 trillion. The usual guess is around $2 trillion.

Only 61 of the 533 known campuses are running today, with 25 GW. 213 are under construction. The rest are plans, and the tracker Currence expects 55% of announced US hyperscale capacity never to come online.

Typical guess: the Gemini and Grok answers to the same research prompt ($2.1T and $2.7T). Top-down: JLL, Synergy, Census, capex, McKinsey ($6.7T by 2030).

Total cost, in trillions of dollars
OpenAI's Oracle contract$0.3T
The usual guess$2.1–2.7T
Built by about 2030 (top-down)$6.4T
Likely to actually get built$10.6T
Everything announced, plus unreported$17.0T
The deal OpenAI said was too big to build itself is under 2% of the money and under 1% of the floor space now planned.

One deal

5 campuses, 12 million sq ft, 4.5 GW, $300 billion

Everything else, known and unreported

About 711 campuses, 1.6 billion sq ft, 547 GW, $17 trillion

How the numbers were built

Method and assumptions

  • All buildout figures are at full build-out. Many of the biggest campuses won't be full until the 2030s.
  • The list holds 577 campuses from about 41 countries. 533 count toward the totals: finished in 2023 or later, under construction, or planned. Cancelled projects and overlapping country programs are left out.
  • Square feet comes from the published figure where one exists (405 million of the 1.21 billion known). The rest is estimated at 3,000 sq ft per MW, the ratio of 65 campuses that publish both.
  • Building cost: $12.5M per MW of IT load. Hardware: $30M per MW for AI campuses, $10M for conventional ones. IT load is taken as 80% of campus power.
  • Unreported share: 25% (range 15 to 40%), from a region-by-region disclosure estimate checked against utility queues and Census data. Every known number is scaled by 25/75.
  • Full range for the total: $6.8T to $31.1T. One fill of hardware only; replacing GPUs every four to six years would add $7T to $11T more.
  • OpenAI deal: $300B contract (WSJ). The $60B and $130B split is an estimate from Epoch AI's 32/68 building-to-hardware ratio. Two site sizes (New Mexico, Abilene expansion) are estimated.
  • Context figures (football fields, Washington D.C. land area, US average grid load, federal budget) are rounded comparisons added for this page.
Show every answer as a table
MeasureValueRange
OpenAI deal: campuses54 to 6
OpenAI deal: floor space12.05M sq ft9.85M to 17.75M
OpenAI deal: power4.5 GW3.9 to 6.5
OpenAI deal: contract$300B$150B to $319B
OpenAI deal: buildings (est.)$60B$36B to $75B
OpenAI deal: equipment (est.)$130B$117B to $158B
Known campuses533533 to 593
Known floor space1.21B sq ft0.94B to 1.48B
Known power410.5 GW
Known buildings and land$4.11T$2.96T to $6.57T
Known hardware$8.62T$6.32T to $12.07T
Share publicly known75%60 to 85%
Unreported campuses17894 to 355
Unreported floor space404M sq ft214M to 808M
Unreported power136.8 GW72 to 274 GW
Total buildings and land$5.47T$2.16T to $10.95T
Total hardware$11.50T$4.63T to $20.12T
Total$16.97T$6.79T to $31.07T
Likely to get built$10.56T
Floor space multiple134×
Power multiple122×
Money multiple57×35× (likely built) to 57×

Main sources

  1. WSJ via Data Center Frontier: the $300B contract, Sep 18, 2025
  2. APPA: Oracle and OpenAI agree on 4.5 GW, Jul 23, 2025
  3. TechCrunch: OpenAI to pay Oracle $30B a year, Jul 22, 2025
  4. Bloomberg via Insurance Journal: Abilene expansion dropped, Mar 10, 2026
  5. Fortune: Microsoft takes the Abilene land, Mar 27, 2026
  6. Reuters: Blue Owl won't fund Michigan, Dec 17, 2025
  7. TheNextWeb: S&P cuts Oracle to BBB-, Jul 16, 2026
  8. TheNextWeb: force majeure on Project Jupiter, Sep 2026
  9. Tom's Hardware: OpenAI prefers to lease, 2026
  10. Deseret News: Utah's Stratos project, May 12, 2026
  11. JLL: North America midyear 2026, Aug 11, 2026
  12. Synergy Research: US pipeline, Jul 23, 2026
  13. Currence: Q3 2026 outlook, Aug 27, 2026
  14. US Census: private construction spending, downloaded Oct 11, 2026
  15. ERCOT: large-load queue, Jun 18, 2026
  16. Bernstein: what a GW costs, Oct 28, 2025
  17. Epoch AI: AI data center cost breakdown
  18. Orennia: what a 1 GW data center costs, May 21, 2026
  19. McKinsey: the $7 trillion race, Apr 28, 2025
  20. FactSet: hyperscalers tap external financing, Jul 23, 2026
  21. Ben Inskeep on X: Meta's Project Domino via Orla LLC, Feb 26, 2026
  22. Kim Georgeton on X: Project Klondike under NDA, Aug 10, 2026

Every campus in the circle chart is a row in claude/data_centers.csv with its own source link. Full notes: claude/final_answer.mdx and claude/research/.