AI Bubble Index: what would make it burst

A dashboard of market temperature from 0 to 100, computed from 7 components

AI Bubble Index gaugeA semicircular gauge from 0 to 100 with the needle at 56, in the Heated band.025507510056OUT OF 100HEATED
Cold0 to 30Building31 to 50Heated51 to 70Overheated71 to 85Euphoria86 to 100

The AI Bubble Index reads 56 out of 100, in the Heated band, as of August 28, 2026 at 6:35 p.m. ET.

Multiple indicators elevated together. The score recalculates four times each weekday. Four of its seven components move with the market; the other three move only when a utility, regulator or company files something new. Every raw value, score and anchor sits below.

Why 56?

Each component's score times its weight. The contributions sum to the composite, so the longest bar is what is actually driving the reading, not just what is elevated. The previous reading was 56, unchanged. Recalculates at 9:35am, 12:35, 3:35 and 6:35pm ET each weekday.

ComponentScoreWeightContribution
Commitment gap6222%13.64
Contracted cover6914%9.66
Counterparty concentration6713%8.71
Momentum5413%7.02
Insider selling4613%5.98
Valuation3317%5.61
Complacency698%5.52
Compositesum of contributions56.14 → rounds to 56

History

The series began August 20, 2026 and holds 8 daily readings. A ringed point marks a methodology change recorded in the changelog, so a component addition is never mistaken for a market move. Nothing before the first point is reconstructed.

AI Bubble Index history10005608-205908-215908-225608-245508-255508-265608-275608-28

What goes into the number

ComponentReadingScoreHow it maps
Commitment gapquarterlyIs the demand behind the buildout real?Weight 22%65.41% of announced demand unbacked

median of 7 independent screens run by grid operators, utilities and regulators

62

50 percent maps to 40 because roughly half of announced data center projects have historically failed to arrive on schedule, so that much attrition is the baseline rather than a warning. 95 percent maps to 100.

Anchors: 0 to 0, 50 to 40, 75 to 75, 95 to 100
ValuationdailyHow much is priced in?Weight 17%19.04median forward P/E of the AI basket

median of 10 forward P/E readings across 10 symbols

33

16 is the long-run S&P 500 median forward multiple and maps to 25. 60 maps to 100, in the region of dot-com peak multiples.

Anchors: 16 to 25, 25 to 50, 40 to 80, 60 to 100
Insider sellingdailyAre the people inside selling more than usual?Weight 13%1.1847discretionary selling against its own trailing baseline

$500M of discretionary selling across 10 of 25 AI infrastructure names in the last 90 days, against a baseline of $422M from 4 earlier windows. NVDA is 82 percent of the current window.

46

The last 90 days of discretionary selling against the median of the prior four 90-day windows, so the basket is judged against itself rather than an outside benchmark. A reading of 1.0 is its own normal rate and maps to 40. Rule 10b5-1 plans and tax withholding are excluded.

Anchors: 0.4 to 10, 1 to 40, 2 to 70, 4 to 100
Counterparty concentrationquarterlyHow few counterparties is this resting on?Weight 13%47.5top customers as % of revenue, and vendor commitments as % of revenueCustomer concentration: 54 → scores 75 through the same anchorsVendor financing vs revenue: 41 → scores 59 through the same anchors

average of 54% customer concentration (NVIDIA 10-Q, three direct customers) and 41% vendor commitment to revenue (the $105B OpenAI guarantee against $253.4B trailing revenue)

67

15 maps to 20 because that is what Lucent's largest customer reached before its collapse, per its fiscal 2000 annual report. The score averages customer concentration with vendor financing commitments measured against revenue.

Anchors: 15 to 20, 30 to 45, 54 to 75, 70 to 100
MomentumdailyHow far above trend is the price?Weight 13%1.1141basket price divided by its 200-day average

median price to 200-day average across 10 symbols

54

A basket trading at its 200-day average maps to 30. Twenty percent above trend maps to 75.

Anchors: 0.9 to 10, 1 to 30, 1.1 to 50, 1.2 to 75, 1.4 to 100
ComplacencydailyIs any of this priced as a risk?Weight 8%14.43VIX, inverted

CBOE Volatility Index, last regular-session print

69

Inverted on purpose: a low VIX means the market is pricing no stress, which raises the reading rather than lowering it. 20 is near the long-run average and maps to 35. 45 maps to 0, the level reached at the dot-com bust peak.

Anchors: 10 to 100, 12 to 85, 15 to 65, 20 to 35, 30 to 10, 45 to 0
Contracted coverquarterlyHow much disclosed contract coverage supports the valuation?Weight 14%21.67contracted revenue as % of market value

$2932B of disclosed GAAP obligations against $13531B of market value across 18 companies

69

Inverted: cover falls as the market pays more for demand nobody has signed for, so a low reading raises the score. 100 percent, where signed contracts equal the whole market value, maps to 0; 10 percent, where nine tenths of the price rests on uncommitted revenue, maps to 100. Only 10-Q and 10-K figures count.

Anchors: 10 to 100, 25 to 60, 50 to 25, 100 to 0

The five things that ended the last one

Each row pairs a mechanism that actually did the damage in 2000 with today's equivalent and its current reading. Three are measured. Two are not built yet, and are listed so the gaps are visible rather than quietly omitted.

What ended the dot-com bubbleTodayReading
Vendor financing reversedLucent committed $8.1 billion to help customers buy its own equipment, 24 percent of its $33.6 billion of revenue, much of it to carriers the banks had already refused. Nortel committed $3.1 billion and offered terms reaching 130 percent of purchase price. Lucent's revenue fell from about $30 billion to $12 billion and it lost $16.1 billion in 2001 alone.Circular financingNvidia agreed on Aug. 17, 2026 to guarantee up to $105 billion behind an OpenAI data center in Pike County, Ohio. Against the $253.4 billion Nvidia earned in the twelve months to April, that is 41 percent, against Lucent's 24 percent. The direction is the interesting part: the commitment was discussed at up to $250 billion on July 27 and cut below $120 billion after investors objected to the exposure, a 58 percent reduction in three weeks. Four days later, on Aug. 21, Nvidia extended the same pattern into software: a $6 billion license of AI coding startup Poolside's model-development tools plus a separate roughly $1 billion equity stake at a $12 billion valuation, more than triple where Poolside was priced in 2024 against essentially no shipped revenue. That deal is a license and a minority stake, not a compute-purchase guarantee, so it is kept out of the 41 percent reading rather than added to it, but it is the same supplier-funds-its-own-customer logic showing up a layer higher in the stack.41%of Nvidia revenue committed, and falling
The demand was never realCapacity was built against orders from companies that had no revenue and, in many cases, no customers. The orders were real on paper. The ability to pay for them was not.The commitment gapSeven screens run by grid operators, utilities and regulators in four states each remove between 50 and 95 percent of the data center demand put to them. None of them coordinate and none uses the same method. Detail for every screen is below.65%of announced demand is unbacked
Nobody was pricing itThe VIX peaked at 45.08 during the entire dot-com collapse, a level since exceeded by a credit downgrade, a flash crash and a tariff announcement. Volatility markets did not see the biggest equity unwind in modern history while it was happening.VolatilityThis is not a safety reading. It is a complacency reading. The market is pricing essentially no stress against a pipeline that is 65 percent air and a supplier guaranteeing 41 percent of its revenue. Note that VIX is a poor detector of slow deflation: it registers sudden credit and liquidity shocks, which is why 2008 and 2020 produced readings above 80 and the dot-com bust never did.14.89VIX, against a long-run average near 19
Money got expensiveThe Federal Reserve raised the funds rate from 4.75 percent to 6.5 percent between June 1999 and May 2000. Speculative capital left first.The data center debt windowThe equivalent measure is what it costs to borrow against a data center: issuance volume and spreads on data center asset-backed securities and private credit. When that window closes the buildout stops regardless of how real the demand was. The cost side of this mechanism is already moving without the debt window: Bloomberg reported on August 23, 2026 that Nvidia has warned its biggest customers that servers built on its Grace Blackwell and next-generation Vera Rubin chips will cost at least 15 percent more, starting with systems shipping in early 2027, because memory prices are surging. Memory is roughly 25 percent of the bill of materials for a high-end AI rack, and server DRAM contract prices roughly doubled in the first quarter of 2026. Nvidia has not confirmed the report. A higher price per unit of compute squeezes the buildout the same way a higher interest rate does: every committed dollar builds less than it did when the commitment was made.not tracked yet
Insiders sold firstLockup expirations released enormous insider supply into a market that had already stopped absorbing it.Form 4 selling in AI infrastructureWe already collect every Form 4 filed by insiders at the companies on this page. Pointing that feed at the AI infrastructure names gives a reading that updates daily rather than quarterly, which is the only component here that could.not built yet

Circular financing, then and now

A supplier standing behind its customer's ability to pay for the supplier's own product. Commitments compared to commitments, because Lucent's widely quoted $8.1 billion was a facility and only $1.5 billion was ever drawn.

Lucent, 1999Nvidia, 2026
Financing committed$8.1 billion$105 billion
Revenue$33.6 billion$253.4 billion
Commitment as share of revenue24%41%
Largest customerstop two, 23%top three, 54%

Three differences cut in Nvidia's favor. Lucent lent to carriers with no revenue that banks had refused, and booked the resulting purchases as revenue in the same period. Nvidia is guaranteeing a 20-year lease to one of the largest buyers of computing in the world. And Lucent expanded its lending as conditions worsened, where Nvidia cut its commitment by 58 percent because shareholders objected.

NVIDIA quarterly filings; Robert D. Atkinson, Who Lost Lucent, American Affairs (August 2020)

What the market is pricing

The dot-com collapse never produced an extreme volatility reading. It peaked at 45.08 while the Nasdaq fell 78 percent, a level since exceeded by a credit downgrade, a flash crash and a tariff announcement. Whatever the VIX measures, it is not bubbles.

14.89today
45.08dot-com bust peakAug. 5, 2002, while the Nasdaq fell 78%
52.33April 2025 tariffshigher than the entire dot-com collapse
80.86credit crisisNov. 20, 2008
82.69covidMar. 16, 2020

VIX methodology changed in 2003, so pre-2003 figures are back-calculated from the old VXO, which ran on the S&P 100 and tends to read higher. If anything the true comparable figure for 2002 was lower than 45.08.

Inside the commitment gap

The seven screens behind the 65 percent figure, ranked by how much each removes.

Announcedshowing up in public project databases, at least this many100
Talked to the stateengaged with the environmental regulator at some level58
Filed an applicationactually applied for a permit15
Got permittedhold every permit needed to build a first phase5

Pennsylvania, counted by the state inside Executive Order 2026-05.

Who is screeningAsked forSurvivedCutTest applied
Pennsylvania DEPPennsylvania · Announced projects against fully permitted projectsAs of August 18, 2026

Disclosed by the state inside Executive Order 2026-05, which also bars DEP from issuing any data center permit before the project secures local approval. The intermediate stages are 58 projects engaged with the agency and 15 that have filed a permit application. Commonwealth of Pennsylvania, Executive Order 2026-05 (August 18, 2026)

100in publicly sourced databases, at least5holding every first-phase permit95%20x more asked for than got throughPermitted
Georgia PowerGeorgia · Large load pipeline against signed commitmentsAs of March 31, 2026

Filed quarterly with the Georgia Public Service Commission, which makes this the most auditable series in the set. Of the committed 12,400 MW, 8,500 MW has physically broken ground and 10 projects are already online. PSC staff testimony separately records 33 projects totalling 11,332 MW removed from the pipeline since 2023. Georgia Power, Quarterly Large Load Economic Development Report, Q1 2026, Georgia PSC Docket 56002

76,200 MWtotal pipeline through the mid-2030s12,400 MWcommitted, across 31 customers84%6.1x more asked for than got throughSigned agreement
AEP OhioOhio · Inquiries before and after a minimum-take tariffAs of February 13, 2026

The closest thing in this data to a controlled experiment. PUCO approved a tariff on July 9, 2025 requiring data centers above 25 MW to pay for at least 85 percent of the energy they subscribe to whether or not they use it, over a 12-year term with an exit fee and proof of financial viability. Four in five megawatts of stated interest did not survive being asked to pay for itself. AEP Ohio (February 13, 2026)

30,000 MWof inquiries, more than 50 customers across more than 90 sites5,642 MWafter binding financial commitments81%5.3x more asked for than got throughMoney posted
PPL Electric UtilitiesPennsylvania · Data center pipeline against signed service agreementsAs of June 30, 2026

PPL reports a third figure below the two here: 6,500 MW actually under construction. Read across all three, the pipeline converts to signed agreements at about one in three, and to steel in the ground at about one in five. PPL Electric Utilities, second quarter 2026 disclosure

31,800 MWof pipeline in Pennsylvania11,000 MWunder signed electric service agreements65%2.9x more asked for than got throughSigned agreement
ERCOTTexas · Contracted load against officer-letter attestations, 2030As of December 19, 2025

ERCOT splits its own forecast into load carrying signed interconnection agreements and load backed only by a transmission provider officer letter, which ERCOT defines as an attestation of confidence rather than a signed agreement. By 2030 the larger share of the forecast is the weaker category. ERCOT, Report on the Capacity, Demand and Reserves in the ERCOT Region, 2026 to 2030 (December 19, 2025)

47,783 MWof new large load in the 2030 planning forecast19,560 MWwith a signed interconnection agreement59%2.4x more asked for than got throughSigned agreement
ERCOTTexas · Batch Zero interconnection screenAs of July 28, 2026

ERCOT labels this preliminary. Final determinations were due Aug. 7, 2026, with results communicated by Sept. 2. The Batch Zero deadline for posting financial security and site control is planned for June 2027, which is the point where this number gets tested again. ERCOT, Assessing the Grid, presented to the Texas Senate Committee on Business and Commerce (July 29, 2026)

498 GWrepresented in the screen, 688 projects205 GWstudy-eligible, 326 projects59%2.4x more asked for than got throughAccepted for study
NERCTexas · Requested load against what NERC will countAs of January 1, 2026

NERC counts a data center project only once it has advanced from speculative and exploratory stages into development commitments. On Texas it states that new data center demand projections are reduced by almost 50 percent of their original requested load level. NERC, 2025 Long-Term Reliability Assessment

100%of the originally requested load level50%after NERC screening, approximately50%2.0x more asked for than got throughAccepted for study

What survives when someone has to pay

Real capacity is being built at very large scale. These two figures are the cleanest evidence of it anywhere in the data, and they belong here rather than in a footnote.

45 GW AEPin Texas backed by fully executed Letters of Agreement · as of July 30, 2026

AEP told investors it had collected nearly $2 billion in cash or collateral for load commitments in ERCOT, covering all of the required credit support for the full 45 GW in its Batch Zero filing. Posted collateral is the cleanest available filter against one project being counted in several places at once. AEP, second quarter 2026 results and earnings call (July 30, 2026)

8,500 MW Georgia Powerof committed load that has physically broken ground · as of March 31, 2026

Concrete is the one test no press release can pass. Ten of these projects are already online and serving load. Georgia Power, Quarterly Large Load Economic Development Report, Q1 2026

Which stocks this actually touches

The ones already in the ground. A rule that slows every new entrant does not hurt a project that is already sited, permitted and locally supported. If anything it widens the moat. These are the names with real Pennsylvania exposure that mostly clear the new bar.

PPLPPL Electric Utilities

The most exposed name on this page. It reports 31,800 MW of Pennsylvania data center pipeline, 11,000 MW under signed service agreements and 6,500 MW under construction. Its growth story lives at the top of exactly the funnel this order narrows.

TLNTalen Energy

Sold its 960 MW Cumulus campus next to the Susquehanna nuclear plant to Amazon for $650 million, then expanded to a 1,920 MW power agreement running to 2042. An operating nuclear site with decades of local relationships clears a local-approval test easily.

CEGConstellation Energy

Restarting Three Mile Island Unit 1 as the Crane Clean Energy Center. Same logic as Talen: an existing licensed site, not a greenfield fight.

GEVGE Vernova

Supplying seven gas turbines to the Homer City Energy Campus, the largest project in Pennsylvania at 4.5 gigawatts and about $10 billion. The turbine order is already placed, though environmental groups are crowdfunding a legal challenge to the site.

EQTEQT Corporation

Announced an agreement in principle to supply the gas for Homer City.

AMZNAmazon

Owns the Susquehanna campus outright and has confirmed talks to take capacity at Homer City, with no deal signed.

The ones that will move anyway. These names have no Pennsylvania exposure we can find. They tend to trade on data center policy headlines regardless of geography, which is a sentiment reaction rather than a change in their business. Worth separating the two before treating a move as information.

NBIS NebiusWULF TeraWulfCRWV CoreWeaveIREN IRENCIFR Cipher MiningCLSK CleanSparkCORZ Core Scientific

There is a live precedent for that split. When New York paused state data center permits on July 14, 2026, TeraWulf finished as the biggest decliner among the AI infrastructure names we track and Nebius was close behind, despite Nebius having nothing to do with New York.

The long-run base rate

Of all generation and storage capacity that entered a US interconnection queue between 2000 and 2020, 13 percent reached commercial operation. Attrition did not stop at the paperwork either: 41 percent of the capacity that signed an interconnection agreement between 2000 and 2022 had withdrawn by the end of 2025. The median project reaching operation in 2025 took 61 months from its request, up from 36 months in 2015.

This measures generation and storage, not data center load. Lawrence Berkeley National Laboratory states plainly that large loads sit in separate queues its report does not cover. It belongs here as the long-run base rate for how queue capacity turns into working plant, not as a data center figure. Lawrence Berkeley National Laboratory, Queued Up: 2026 Edition (June 2026)

This is deliberately not a count of blocked or cancelled projects. That figure is quoted everywhere and comes almost entirely from one organisation whose clients are the AI industry, with recent project data behind a paywall and approved projects still sitting in its delayed column. Announcement froth is also normal: companies have always announced more than they build, so counting the froth alone tells you nothing.

Two things cut against a bearish reading. Local defeats often do not stick, as when Saline Township, Michigan rejected a $16 billion campus, was sued two days later, settled for about $14 million in community benefits and saw ground broken within two months. And friction runs both ways, since West Virginia has preempted local ordinances that limit large data center projects.

What is coming next

Related coverage

Why this index exists

No one can predict the moment a bubble will burst. Any website that says otherwise is trying to sell you something. A better approach is less ambitious and more practical: identify what brought the previous bubble to an end, map those forces onto today's market, and track them. The dot-com boom did not collapse simply because investors realized stocks were expensive. It collapsed when funding dried up and much of the apparent demand proved illusory. Both conditions can be measured today.

Methodology

The AI Bubble Index is a weighted composite of 7 components. Each one is scored from 0 to 100 against published anchor points, then weighted and averaged. Every raw reading, weight and anchor on this dashboard is printed here, with the source it came from and the date that reading was taken.

The published series begins August 20, 2026 and now holds 8 daily readings. No earlier reading has been reconstructed and none will be: two of the components rest on grid screens and forward estimates that were never published for earlier periods, so any back-history would be a guess wearing a date. The composite recomputes four times each weekday.

The composite recomputes on the cadence of its fastest inputs, and each component carries its own as-of date so a quarterly reading is never presented as though it were current. No proprietary forecasts are used: every number traces to a public filing, a grid operator docket or a market series, and forward consensus estimates and preliminary grid projections appear only where they are identified as such. There is no login, no paywall and no proprietary input, and because every reading, weight and anchor is printed on this page, anyone can recompute the score by hand and get the same number. Nothing about it is tunable by the reader. The index measures how much today looks like the conditions that ended the last bubble. It does not predict when this one ends, and it is not investment advice.

Two notes on the anchors

Does the score survive different assumptions?

The weights are judgment calls, so here is the same data under different ones. Published weights give 56; equal weights give 57; removing any single component and renormalising leaves it between 54 and 61. The reading is a property of the inputs, not of the weighting.

Changelog

For the demand side of the same question, our AI infrastructure backlog and RPO tracker lists what these companies have actually sold under contract, which is the one number a valuation cannot argue with.

Questions people ask

Is there an AI bubble?

This page does not answer that, and no honest single number can. What it does is measure today's version of each thing that ended the dot-com bubble. As of August 2026: 65 percent of announced data center demand has not survived any binding commitment test, Nvidia has guaranteed financing equal to 41 percent of its annual revenue for a single customer's data center, and the VIX sits at 14.89, meaning markets are pricing almost no stress against either. Nothing here is investment advice.

When will the AI bubble pop?

Nobody knows, and the historical record is unkind to anyone claiming otherwise. The VIX peaked at 45.08 during the entire dot-com collapse, a level since exceeded by a credit downgrade, a flash crash and a tariff announcement. Volatility markets did not register the largest equity unwind in modern history while it was happening. This page therefore tracks mechanisms rather than timing.

What actually caused the dot-com crash?

Two things above all. The Federal Reserve raised rates from 4.75 percent to 6.5 percent between June 1999 and May 2000, which made speculative capital expensive. And vendor financing reversed: equipment makers had been lending customers the money to buy their equipment, with Lucent committing $8.1 billion and Nortel $3.1 billion, often to carriers banks had already refused. Lucent's revenue fell from about $30 billion to $12 billion and it lost $16.1 billion in 2001.

What is the AI commitment gap?

The difference between data center capacity that has been announced or requested and the capacity that survives a test requiring a binding commitment: a signed interconnection agreement, a permit, posted collateral, or concrete in the ground. Across the seven screens tracked here the gap runs from 50 percent to 95 percent, with a median near 65 percent.

Which number here is the strongest evidence?

AEP Ohio. Its data center inquiries stood at about 30,000 MW. After Ohio regulators approved a tariff requiring data centers above 25 MW to pay for at least 85 percent of the energy they subscribe to whether or not they use it, expected load fell to 5,642 MW. Same market, same period, one variable changed: developers had to pay for what they had asked for.

Does this mean AI data centers are not being built?

No, and the counter-evidence is on the page deliberately. AEP has 45 GW of contracted Texas load backed by nearly $2 billion in posted cash or collateral, and Georgia Power has 8,500 MW that has physically broken ground with 10 projects already online. Real capacity is being built at very large scale. The gap is between that and the far larger announced figures that reach headlines.

Do Nvidia's price increases change the index?

Not the score, because no component here measures input costs. But it is a live reading on the cost mechanism. Bloomberg reported on August 23, 2026 that Nvidia warned major customers of price increases of at least 15 percent on Grace Blackwell and Vera Rubin server systems shipping from early 2027, as memory prices surge. Memory already makes up about 25 percent of a high-end AI rack's bill of materials, and server DRAM contract prices roughly doubled in the first quarter of 2026. Nvidia has not confirmed the report. Rising cost per unit of compute squeezes the buildout the same way expensive credit did in 2000: every committed dollar builds less than it did when the commitment was made.

Use this data

Our figures are free to reuse in articles, newsletters, and research with attribution and a link back to this page. How every number is computed: methodology. Current table as a file: download CSV.

Suggested citation: AIStockWire, “AI bubble index,” aistockwire.com/ai-bubble-index. Questions about the data: [email protected].

Grid, utility and regulator evidence last updated August 19, 2026. A record of what those bodies and companies have published about their own exposure, not a forecast and not investment advice. Most of these bodies file quarterly at best, so this page updates as filings land rather than live.