BRAIAINThe Buildout Index for AIupdated Oct 20, 2026 · every figure sourced & dated · braiain.com
Right now, Microsoft, Alphabet, Amazon and Meta are spending
$0
building AI — and that's just since you opened this page.
$16,282 every second, about $1.4 billion a day — the four companies' own figures, filed with regulators, for the year to June 2026. NVIDIA sold $277.7 billion of AI data-center chips into the same boom. Every number on this page comes from a public, dated source. New to this? Start with the basics · how every number is made
Why so much? AI runs on specialized chips packed into warehouse-sized buildings — data centers. The computing used to train AI has been growing about 5x a year, while chips only get ~1.5x better per dollar each year (Epoch AI). The gap gets filled with more machines — and every machine draws power.
$0of venture money into AI startups since you opened$12,832/s at the Jul–Sep pace · Crunchbase
0new weekly ChatGPT users since you opened16.2/s — the pace between OpenAI's Feb and Sep statements, run forward
0kWh used by the world's data centers since you opened13,151 kWh every second (IEA 2024 rate, all workloads) — an average US home uses about 30 kWh a day (EIA, 2022)
Counters are arithmetic on sourced paces — not live telemetry. Each explains itself.
THE MONEY
Spending dipped for two quarters after ChatGPT — then went vertical.
What the four companies report spending each quarter on data centers, chips and the buildings around them. Flat for a year, a brief wobble, then more than four-fold in three years. The latest quarter alone: $166 billion.
Capital spending (money spent on buildings and equipment), $ billions per quarter, zero-based scale. The companies call the growth AI-driven but report no AI-only line, so this is their total. From SEC filings · full table · data
$1.09Tspent by the four since ChatGPT launchedfiled quarters, Q4 2022 – Q2 2026
~$64a year for every person on earththeir yearly pace ÷ the UN's 8 billion (2022) · math
64%of all venture money went to AI startups, Jul–Sep 2026$102B of $159B · Crunchbase
$500Bannounced for the Stargate projecta commitment over four years, not spending to date · Jan 2025
647.7the Buildout Indexa combined measure incl. NVIDIA (overlapping) · the math
THE GRID
The electricity grid repriced.
PJM runs the power market for more than 67 million people across 13 eastern states and DC. It pays power plants to be ready when needed. For seventeen years that readiness price swung between $16 and $174 — then it rose 9.3x in a single auction, and a price cap has bound the three auctions since, the last two coming up short of the reliability target. Utilities pass wholesale costs into bills — estimates for the first repriced year ran 1.5–5% (PJM figures via WHYY). Wisconsin and most of mid-America are on other grids, where this exact price doesn't apply.
The standby price in dollars per megawatt-day, zero-based scale, 22 delivery years. $269.92/MW-day works out to about 1.1¢ per kWh if spread over flat, round-the-clock use (it was 0.12¢) — your bill's share depends on your region and when you use power. The capped price understates scarcity, and this series alone doesn't prove what caused the jump — PJM has pointed to data-center demand growth in its own commentary (via press). PJM reports · full table & sources
47 → 108 GWworld data-center power draw: 2024 average → 2030 projection415 → 945 TWh/yr, IEA, all workloads — the 2030 figure ≈ 129 reactors the size of Three Mile Island Unit 1
+29%US industrial electricity price, 2020 → 2025, after flat 2014–21before inflation; industrial rate, not what a home pays; cause not attributed · EIA
7,754 MWof nuclear contracted or announced by big tech2,176 MW is existing plants under new contracts; the rest restarts and new small reactors · every deal
2.5–2.8 yrswait for a large grid transformer128–144 weeks · Wood Mackenzie via POWER, 2025
116 GWof gas turbines on back-order at GE Vernova$176B total backlog · Q2 2026 filing
173 millioncubic feet of gas still burned off daily in North Dakota — even at 95.3% captureenough to heat ~1 million homes (derived from EIA 2024 averages) · ND Industrial Commission, Jul 2026 · sources
Reading the units: MW and GW measure power being used at one moment; TWh measures energy over time. 1 GW = 1,000 MW.
THE MAP
America, drawn only by its data centers.
Every dot is a real mapped facility — no outline underneath; the buildings draw the country themselves. Dots are one size: a small site and a gigawatt campus look alike, and the map is a floor, not a census (an industry database counts 3,000+). The dashed region is the Bakken oil field, where gas is burned off around the clock next to an energy-hungry buildout — our framing, the numbers are theirs. Crusoe, a company that began by running computers on that flare gas in 2018, now builds OpenAI's Stargate campus in Texas.
7,481 MWbeing built right now — a recordprimary markets; 80.4% already rented to tenants · CBRE H1 26
233+ GWrequested from the Texas grid — 31x what's actually under constructionrequests, not commitments; >70% data centers · ERCOT YE25
~4M gal/dayof water used by one region's data centersPotomac basin — about 9% of the area's consumptive use · ICPRB
1,500+more US data centers in developmentData Center Map via Pew, Feb 26
If a data center is coming to your town — six questions to ask the developer
How many megawatts are you requesting from the utility — and is that in the grid operator's queue yet?
Who pays for the new substation and lines — the project, or everyone's rates?
Where does the cooling water come from, and how many gallons a day at peak?
How many years of tax abatement are you asking for, and what's the county's payback math?
How many permanent jobs are written into the agreement — not construction jobs?
If the capacity price rises (see the grid section above), whose bills carry it?
Questions, not numbers — the sourced context for each is on this page. Print them from the readout.
THE PEOPLE
A seventh of humanity uses it every week — by OpenAI's count.
ChatGPT went from launch to 1.2 billion weekly users in under four years — user accounts, as OpenAI states them, not verified unique people. Employers, meanwhile, have named AI as the reason for 120,136 announced US job cuts this year — their stated reason, which is not the same as net jobs lost.
millions of weekly users, zero-based · filled dots = OpenAI's own statements, hollow = secondhand · full timeline
announced US job cuts where employers cited AI, zero-based; 2024 derived · Challenger · the series
51%of web traffic was bots in 2024 — more than humansall automated traffic, not only AI; measured on Imperva-protected sites
45,102AI papers listed on arXiv in 2025 — six times 20202026 is already higher · data
1M+.ai web addresses registeredJan 2026 · registry via press
The rest of the board — chips, models, prices, for those who want all of it
Chips
$277.7BNVIDIA's AI data-center sales, year to Jul 26up 18% on the prior quarter · filings
$B per quarter, 18 quarters, zero-based · NVIDIA
$3.50/hrto rent NVIDIA's workhorse AI chip (H100), up 17% in a yeareven as chips improve ~49%/yr per dollar · GetDeploying (CC-BY), Epoch
Models
3,169,809AI model repositories on Hugging Faceincl. copies and finetunes; doubled every ~8 months on average since 2022, slower lately · archived counts
public repositories, zero-based · archived captures · the curve
$50 / $10top-tier vs mid-tier AI, per million tokens of outputtokens ≈ chunks of words; list prices, not capability-adjusted — per unit of capability, prices have fallen · table
Research pace
5x/yrgrowth in computing used to train frontier AIEpoch AI (CC-BY), Feb 26
6.8 modoubling time of the world's AI chip stockEpoch AI
~2 yrsto build a gigawatt-scale data centerEpoch AI
8.62¢/kWhUS industrial electricity, 20259.77¢ in Jul 2026 (monthly) · EIA
One new model repository every ~41 sMar–Oct 2026 pace, archived countsOne AI paper every 8.2 minarXiv, 2026 paceOne announced AI-cited job cut every 3.3 minChallenger, 2026 paceModels since Dec 2022: ×31archived counts
OUR OPINIONS ON THIS PAGE ARE MARKED EDITORIAL — THIS IS THE BIGGEST ONE
The Reckoning
2028–2033 midpoint 2031 — about four years out
Our estimate of when using AI becomes as assumed as using the internet — our definition, our model, no one's forecast but ours. It works like a scorecard: ten checkable conditions, set on Oct 20, 2026 — before any pending outcome — with six already met. The slowest pending condition sets the range. The full math is published; argue with the inputs. Model v1.0
6 met, 4 pending
Companies in the power chain
The counterparties of the deals on this board — not picks, not advice; no prices shown (why). The operator holds none of them.
ConstellationCEG
Restarting Three Mile Island Unit 1 for Microsoft — 835 MW, 20-year deal (Sep 2024); restart targeted 2027 per its Q2 2026 release.
VistraVST
2,609 MW of 20-year nuclear deals with Meta — the operating Perry and Davis-Besse plants plus 433 MW of extra output (Jan 2026 8-K).
TalenTLN
1,920 MW to Amazon from the operating Susquehanna nuclear plant, through 2042 (Jun 2025).
GE VernovaGEV
116 GW of gas turbines in backlog and reservations; $176B total backlog; data-center orders over $5B YTD, double 2025 (Q2 2026).
VertivVRT
$15.0B order backlog, up 109% in a year, on AI cooling and power gear (Feb 2026 release — eight months old at this update).
OkloOKLO
1.2 GW small-reactor campus agreement with Meta in southern Ohio; first phase as early as 2030 (Jan 2026).
NuScaleSMR
Up to 6 GW of small reactors with ENTRA1/TVA citing hyperscale data centers — still a nonbinding agreement (Feb 2026).
Conditions 1–5
■Met. Machines outnumber humans on the web51% of traffic automated, 2024 — includes all bots, not only AI · Imperva network
■Met. A grid auction clears shortPJM 2027/28, 6,623 MW · Dec 2025
■Met. A billion weekly users of one AI~May 2026, interpolated · OpenAI statements
■Met. Big-4 spending passes $500B a year$513.8B to Jun 2026 · filings
■Met. AI takes the majority of venture capital64%, Q3 2026 · Crunchbase
Conditions 6–10
■Met. 100k+ job cuts citing AI in a year120,136 in 9 months · Challenger
□Pending. First reactor restarted for a tech buyerCrane, targeted 2027 · Constellation
□Pending. Data centers at 10% of US power2028 (LBNL high case) – ~2033 (our extrapolation)
□Pending. 10 GW of hyperscaler nuclear announced7,754 MW so far · extrapolated ~2027
□Pending. A lab reports crossing its autonomy thresholdlabs publish safety thresholds for when AI can copy itself; none reported crossed · extrapolated ~2028