IF IT POPS

Four ways it could pop, and what grows afterwards

A bubble can burst in more than one way, and what gets hit and what grows afterwards depends on how. Each scenario below is anchored in something that actually happened in 2000–02. They are hypotheses to prepare with, not forecasts; the lamps show whether the matching warning signs are lit today.

Who is at risk, who could grow

ScenarioAt riskLikely to grow
The money stopsWarning signs: 0/2 litCoreWeave, Oracle, VistraAlphabet, Microsoft, GE Vernova
The spending stopsWarning signs: 0/3 litNVIDIA, Micron, Arista NetworksAppLovin, Shopify, Intuit
Intelligence gets cheapWarning signs: 0/2 litNVIDIA, CoreWeave, AMDDuolingo, Apple, Qualcomm
Rates cool itWarning signs: 0/2 litPalantir, Datadog, EquinixAlphabet, Microsoft, Apple

Tap a scenario for the reasons and today's numbers. Red numbers mark net debt, spending beyond cash flow, losses, falling sales or rich valuations.

Scenario: The money stops

Trigger Money stops flowing to companies building data centres on debt, and to private AI labs that have promised to buy far more compute than they earn. Once bond buyers or backers hesitate, the equipment orders that had been promised disappear.

In 2000The junk bond market shut and the carriers that had laid fibre on debt were cut off. Global Crossing (January 2002) and WorldCom (July 2002) went bankrupt, and Lucent, which had lent to its customers, booked $3.5bn of bad debts in 2001–02.

Related warning signs today

▼ At risk

Debt-funded GPU clouds (CoreWeave), giants spending beyond their earnings, power and data centre projects counting on long contracts with AI firms, and chipmakers investing in their own customers.

  • CoreWeaveCRWV

    Buys GPUs with borrowed money and invests several times what it earns. If funding stops it cannot grow, but the debt still falls due. The closest thing to a 2000 start-up carrier.

    Net cash
    -$19bn
    Capex ÷ OCF
    298%
  • OracleORCL

    Fills the gap between its spending and its earnings with debt, and depends on how its biggest customer, OpenAI, funds itself.

    Net cash
    -$92bn
    Capex ÷ OCF
    161%
  • VistraVST

    A power generator betting on data centre demand, carrying heavy debt. Cancelled AI projects would take the expected demand with them.

    Net cash
    -$19bn
    Capex ÷ OCF
    56%

▲ Likely to grow

In 2000 the failed networks were bought for a sliver (61.5% of Global Crossing for $250m). This time the pieces on offer would be half-built data centres, power contracts and grid connections. Those with cash get to pick them up, and the assets themselves go on to serve the next wave of demand.

  • AlphabetGOOGL

    The thickest net cash pile, with spending inside its earnings. Positioned to pick up cheap data centres, people and technology.

    Net cash
    $142bn
    Capex ÷ OCF
    71%
  • MicrosoftMSFT

    Funds its spending from its core business, can cut back and survive, and could become a buyer, as Oracle did after 2000.

    Net cash
    $37bn
    Capex ÷ OCF
    63%
  • GE VernovaGEV

    Grid and generation equipment. It does not rely on debt itself, and power equipment keeps being used even when projects change hands.

    Net cash
    $10bn
    Capex ÷ OCF
    12%

Scenario: The spending stops

Trigger The giants decide AI revenue does not justify the spending and cut capex. Orders for GPUs, memory and networking stop at once, leaving excess inventory and capacity.

In 2000When the carriers stopped spending in 2001, Cisco's sales fell by 30% in a single quarter. In April it announced a $2.25bn inventory write-down and 8,500 job cuts.

Related warning signs today

▼ At risk

Chips and networking gear, Cisco's seat in 2000. The most profitable layer today would fall hardest when orders stop.

  • NVIDIANVDA

    Its revenue is the giants' capex. If that stops, today's growth and margins fall together. Cisco's seat in 2001.

    Revenue growth
    +104%
    Op. margin
    65%
    P/E
    29x
  • MicronMU

    Memory prices swing hard. When orders stop and inventory piles up, prices collapse fast, and today's boom is large even by past standards.

    Revenue growth
    +188%
    Op. margin
    66%
    P/E
    24x
  • Arista NetworksANET

    Data centre networking, the business closest to Cisco's, and richly priced.

    Revenue growth
    +33%
    Op. margin
    43%
    P/E
    64x

▲ Likely to grow

Overbuilt compute gets cheaper. In 2000 spare bandwidth fell more than 90% in price within two or three years, and Google, YouTube and Netflix streaming grew on top of it. This time the companies building AI into their products (apps, business software, advertising) would get cheaper compute to lower costs and do more.

  • AppLovinAPP

    Owns no factories or data centres and uses AI to place ads. Cheaper compute feeds straight into profit.

    Revenue growth
    +61%
    Op. margin
    77%
    P/E
    23x
  • ShopifySHOP

    Can roll AI shop assistants and search out to millions of merchants, more cheaply as compute gets cheaper.

    Revenue growth
    +33%
    Op. margin
    14%
    P/E
    97x
  • IntuitINTU

    The more tax and bookkeeping work AI takes over, the lower its costs. Almost no capital spending.

    Revenue growth
    +14%
    Op. margin
    27%
    P/E
    16x

Scenario: Intelligence gets cheap

Trigger Models and techniques that match today's performance on far less compute spread, and the assumption that there can never be enough GPUs breaks. On 27 January 2025, DeepSeek's model sent NVIDIA down 17% in a day, erasing $589bn of market value. That may have been the trailer.

In 2000In the late 1990s wavelength multiplexing (DWDM) multiplied what a single strand of fibre could carry by dozens of times. Installed capacity ballooned, bandwidth prices fell more than 90% in two or three years, and many of the companies selling it could not survive.

Related warning signs today

▼ At risk

Those who sell GPUs and those who buy them to rent out (the GPU clouds). GPUs are depreciated over five or six years, so a price collapse also cuts deep into their book value.

  • NVIDIANVDA

    The first thing sold when expected GPU demand falls: it dropped 17% in a day on DeepSeek in January 2025.

    P/S
    18.2x
    P/E
    29x
    Revenue growth
    +104%
  • CoreWeaveCRWV

    Buys GPUs to rent out, so falling GPU prices hit both its rental rates and the value of its assets.

    P/S
    6.2x
    P/E
    Loss
    Revenue growth
    +115%
  • AMDAMD

    Its big OpenAI order and its share price both hang on the GPU demand outlook, and it is richly priced.

    P/S
    24.0x
    P/E
    154x
    Revenue growth
    +49%

▲ Likely to grow

Cheaper means more use. Just as cheap bandwidth gave birth to online video, cheap AI would spread into apps and business software and make it practical to run AI on phones and PCs.

  • DuolingoDUOL

    Uses AI to write lessons and act as a conversation partner; cheaper AI means lower cost per learner.

    P/S
    5.9x
    P/E
    16x
    Revenue growth
    +29%
  • AppleAAPL

    The smarter small models get, the more AI can run inside the iPhone, without leaning on data centres.

    P/S
    10.6x
    P/E
    38x
    Revenue growth
    +17%
  • QualcommQCOM

    Makes the chips that run AI on phones and PCs; more on-device AI means more demand for them.

    P/S
    4.5x
    P/E
    21x
    Revenue growth
    +4%

Scenario: Rates cool it

Trigger Rising power and component costs, or an overheating economy, bring inflation back and the Fed turns to hiking. Higher rates shrink today's value of future profits, and the most richly priced shares fall hardest.

In 2000The Fed raised rates by 1.75 points between June 1999 and May 2000, and the Nasdaq peaked in March 2000, midway through. After the fall it cut 11 times in 2001 alone, from 6.5% to 1.75%.

Related warning signs today

▼ At risk

Companies on high multiples (the "Richly priced" flag on the Survivors page) and those expanding on borrowed money.

  • PalantirPLTR

    Among the highest earnings and sales multiples on this site. Higher rates shrink today's value of its future profits the most.

    P/E
    149x
    P/S
    73.2x
    Op. margin
    43%
  • DatadogDDOG

    Profits are still thin; most of the share price is a bet on future earnings.

    P/E
    561x
    P/S
    25.1x
    Op. margin
    0%
  • EquinixEQIX

    A heavily indebted property company (REIT); higher rates make refinancing more expensive.

    P/E
    65x
    P/S
    10.2x
    Op. margin
    22%

▲ Likely to grow

After 2000, companies with profits and cash could make their next move even as their shares fell. Apple launched the iPod in October 2001, in the middle of a recession, and built on it with the iTunes Store in 2003 and the iPhone in 2007. This time: device makers and the cash-rich giants.

  • AlphabetGOOGL

    Not expensive relative to earnings, with plenty of cash to buy cheapened companies and people.

    P/E
    17x
    P/S
    9.4x
    Op. margin
    33%
  • MicrosoftMSFT

    Large core earnings and no reliance on debt; it can keep investing even as rates rise.

    P/E
    28x
    P/S
    11.4x
    Op. margin
    47%
  • AppleAAPL

    Very large core earnings. Like the iPod launch in the 2001 recession, it can fund its next product through a downturn.

    P/E
    38x
    P/S
    10.6x
    Op. margin
    33%

Area: Power, grid and buildings

Grows afterThe money stops

Assets that outlast a bust. Power plants, grid lines and substations last decades and take years to add. Even if overbuilt, latecomers put them to use.

In 2000The fibre ruined its builders, but it stayed and carried the video and cloud era a decade later. Data centre operator Equinix listed in August 2000, was caught in the crash and had to restructure its debt, yet survived to become one of the world's largest landlords.

CompanyBusinessRevenue (4Q)GrowthOp. marginCapex ÷ OCFNet cashP/EP/Svs 52w highFlags
GE VernovaGEVGas turbines and grid equipment$41bn+13%4%12%$10bn27x6.1x-19%None
EatonETNElectrical distribution and power equipment$30bn+16%11%21%-$18bn44x5.6x-6%Heavy debt
VertivVRTPower and cooling for data centres$11bn+26%19%13%-$0.1bn54x8.2x-35%None
Constellation EnergyCEGNuclear-heavy generator$31bn+26%15%93%-$19bn27x3.0x-36%Heavy debt
EquinixEQIXData centre landlord (REIT); listed in 2000 and survived the bust$9.8bn+10%22%28%-$18bn65x10.2x-9%Heavy debtRichly priced

Right after a bust, cancelled orders and lower power-demand forecasts could hit these shares hard. The growth comes later.

Area: Cash-rich buyers

Grows afterThe money stops, The spending stops, Rates cool it

Companies that earn from their core business and hold cash can buy the assets, people and technology that get cheap after a bust.

In 2000Verizon bought WorldCom's successor MCI for $8.5bn, Oracle bought Sun for $7.4bn, and a group including Apple and Microsoft bought Nortel's patents for $4.5bn.

CompanyBusinessRevenue (4Q)GrowthOp. marginCapex ÷ OCFNet cashP/EP/Svs 52w highFlags
MicrosoftMSFTAzure; a major OpenAI shareholder$332bn+18%47%63%$37bn28x11.4x-6%None
AlphabetGOOGLGoogle Cloud, TPUs and Gemini$446bn+20%33%71%$142bn17x9.4x-15%None
Meta PlatformsMETAUses AI in ads; its own Llama models$228bn+28%38%69%$6.6bn27x8.0x-8%None
AmazonAMZNAWS; an investor in Anthropic$776bn+16%12%107%-$10bn20x3.4x-13%Negative FCF

Today's giants are also the biggest spenders. If they keep investing beyond their earnings, they end up holding the assets that lose value rather than buying them. Watch the capex ÷ cash flow column.

Area: Users of cheap AI

Grows afterThe spending stops, Intelligence gets cheap

The cheaper compute gets, the lower the costs and the wider the reach of companies building AI into their products.

In 2000Google (listed 2004), YouTube (2005) and Netflix streaming (2007) grew on the bandwidth and servers the bust made cheap. The winners of the next decade were the users, not the builders.

CompanyBusinessRevenue (4Q)GrowthOp. marginCapex ÷ OCFNet cashP/EP/Svs 52w highFlags
AppLovinAPPUses AI to target ads$6.8bn+61%77%0%-$0.5bn23x15.1x-58%None
ShopifySHOPE-commerce platform adding AI assistants and search$13bn+33%14%1%$4.9bn97x14.1x-20%Richly priced
DuolingoDUOLLanguage learning; AI writes lessons and plays conversation partner$1.1bn+29%14%5%$1.2bn16x5.9x-61%None
IntuitINTUTax and accounting software with AI agents$21bn+14%27%2%-$0.5bn16x3.4x-61%None
DatadogDDOGMonitoring; the more AI a company runs, the more it needs$4.0bn+32%0%4%$5.0bn561x25.1x-7%Richly priced

The winners may still be small or private (Google was founded in 1998, Facebook in 2004). These are examples of listed companies building AI into their products today, not predicted winners.

Area: AI on the device

Grows afterIntelligence gets cheap, Rates cool it

The smaller and cheaper models get, the more they can run on phones and PCs instead of in the cloud, and the more device makers can earn without owning data centres.

In 2000Apple launched the iPod in October 2001, mid-recession, followed by the iTunes Store in 2003 and the iPhone in 2007. It packaged cheaper parts and bandwidth into devices and a store.

CompanyBusinessRevenue (4Q)GrowthOp. marginCapex ÷ OCFNet cashP/EP/Svs 52w highFlags
AppleAAPLiPhone and Mac; runs AI on the device$467bn+17%33%7%-$20bn38x10.6x-1%None
QualcommQCOMAI processors for phones and PCs$44bn+4%23%16%-$4.5bn21x4.5x-25%None

Device upgrades depend on the economy, and it is not yet clear that AI will be a reason to upgrade.

How to read this

The scenarios are not predictions and are not mutually exclusive; in 2000–02 several happened at once. The companies are examples of listed firms in each area, with the same numbers and flags as the Survivors page (latest four quarters reported to the SEC). Even in an area that grows after a bust, a company with weak finances may not last long enough to benefit. Foreign and private companies are not included.

This is not investment advice. Survivors: the five tests →

Sources

For the 2000 facts also used on other pages (Global Crossing, Lucent, Verizon, Oracle, Nortel), see the sources on the Dot-com page.

Updated 29 Sep 2026 11:24 JST · prices to 28 Sep 2026