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Interactive Tool

AI Bubble Meter

An experiment in AI-assisted predictive modeling: two backtested dials measure whether the AI boom has the makings of a bubble, and what could make it burst.

Backtested 1965–2026 · Data as of October 17, 2026

Two dials: conditions and triggers

The meter separates bubble conditions (valuations, household equity exposure, price run-up, the investment share of GDP) from bubble triggers (credit growth and the rise in the 2-year Treasury yield). A quarterly backtest since 1965 shows why: conditions say how far there is to fall, but on their own they have had almost no power to time a fall. The triggers are what separated booms that bust within two years from booms that kept going. Read the two dials together.

A note on this experiment. The AI Bubble Meter is an experiment in using AI as a predictive-modeling tool. We built it with Anthropic’s Claude (Fable 5.1) to assess whether the stock market has the makings of a bubble and what might cause one to burst. This is the first iteration of an ongoing project: not every data point and rule has been independently audited, and the model is not perfect. Applying our own judgment and reading of the market, we consider its findings directionally accurate. Every calculation uses public data, and its limits are set out in the Notes. We welcome feedback.

Conditions

LOWMODERATEHIGH05067100
83High

Average percentile rank vs. all prior history: CAPE 98th (Sep 2026), household equity share 100th (Q2 2026), 2-yr real run-up 75th (Sep 2026), investment share of GDP 60th (Q2 2026).

AI-specific scorecard (5 conditions): 90 High

Triggers

LOWMODERATEHIGH05067100
34Low

3-yr change in private credit/GDP 6th percentile (−13.1pp to Q4 2025, latest available); 2-yr Treasury yield rise from its trailing 8-quarter low 61st percentile (+1.15pp to 4.65% in Sep 2026, from 3.50% in Dec 2025).

For reference: fed funds is still 0.58pp below its level six quarters ago despite the Sep 16 hike (35th percentile), and the 2-yr sits 0.90pp above fed funds (83rd percentile), so the market is pricing further hikes.

AI-specific scorecard (5 triggers): 50 Moderate

Historical analog: High conditions, Low triggers

9% chance of a 20%+ decline within 2 years

In the 54 quarters since 1965 with this mix, the median real S&P 500 return over the next two years was +18.3% and the median worst drawdown was −2.8%. Base rate for all quarters: 15% and +9.2%.

If triggers turn High with conditions this stretched (19 quarters): 42% chance of a 20%+ decline within 2 years (68% within 3), median 2-yr real return −12.5%.

Reading. Mechanically, conditions are at 83 (High) and triggers at 34 (Low). The market is as stretched as at the 2000 and 2021 peaks on valuation and household exposure, and the cost of capital has turned: the 2-yr Treasury yield is up 115bp from its December 2025 low to 4.65% in September (4.77% on October 15), a 61st-percentile rise, and the Fed followed with a hike on September 16. But economy-wide credit is still shrinking relative to GDP (6th percentile), which holds the triggers dial in the Low zone; a rate move alone cannot lift it to Moderate unless the 2-yr rise reaches roughly +3.7pp. History says the High-conditions, Low-triggers mix has usually been rewarded over the next two years. The AI-specific scorecard raises the triggers reading to 50 (Moderate) because the credit boom is concentrated in one sector, vendor-financed and off the aggregate radar, and because rate tightening is now underway. The thing to watch is the triggers dial: if economy-wide credit growth joins the rising 2-yr yield and the AI-specific financing boom, the historical odds of a 20%+ decline within two years rise from 9% to 42%.

Backtest

A mechanical version of the meter, scored quarterly from 1965 with no hindsight, tested against every S&P 500 decline of 20% or more.

What the backtest found

Conditions alone do not time a bust.

Valuation, participation and run-up readings rank quarters that were followed by a 20%+ decline barely better than a coin flip (AUC 0.61; CAPE 0.55, 2-yr run-up 0.46). They were High for four years before the 2000 peak and for most of 2017–2021.

Credit and the 2-year yield carry the signal.

The triggers dial (credit growth plus the rise in the 2-yr Treasury yield from its trailing two-year low) has an AUC of 0.79. When it read High, 42% of quarters with High conditions saw a 20%+ decline within two years, versus 9% when triggers were Low. The 2-yr yield is used rather than the fed funds rate because it moves first: on its own it scores 0.63 against 0.62 for fed funds, and it flagged the 1987 and 2000 peaks as High. This matches Jordà–Schularick–Taylor and Borio–Lowe: credit is what makes a boom dangerous.

One number would hide the signal.

An equal-weight composite of the six indicators has an AUC of 0.70. Composite readings of 67–75 were followed by a 20%+ decline 15% of the time, the same as the base rate, because a stretched market with no credit boom scores the same as a credit boom with modest valuations. Only readings above 75 were informative (31%, median 2-yr real return +1.4%). Two dials keep the distinction visible.

The sample is small.

Six qualifying peaks (2020 is shown for reference) and 238 overlapping quarters since 1965. The triggers dial was Low at the 1968 peak and only Moderate at the 1972 and 2021 peaks, none of which were credit booms, and it was High for three years before the 2007 peak but had eased to Moderate by the peak quarter, so early as much as wrong. Treat the probabilities as rough ratios, not forecasts.

Outcomes by dial reading, 1965–2024

Each cell: share of quarters followed by a 20%+ S&P 500 decline within two years, and the median real S&P 500 return over the following two years. The highlighted cell is where the mechanical readings sit now.

Outcomes by dial reading: share of quarters followed by a 20%+ decline within two years
Conditions ↓ / Triggers →Triggers LowTriggers ModerateTriggers High
Conditions Low
0%
2-yr real +7.7% · n=45
19%
2-yr real +11.8% · n=26
14%
2-yr real +5% · n=14
Conditions Moderate
7%
2-yr real +14.2% · n=41
18%
2-yr real +3.5% · n=17
80%
2-yr real −1.8% · n=5
Conditions High
9%
2-yr real +18.3% · n=54
Now
29%
2-yr real +7.8% · n=17
42%
2-yr real −12.5% · n=19

Which indicators carried the signal

Indicator AUCs
IndicatorBlockAUCRead
3-yr change in private credit/GDPTrigger0.73Useful
Gross private investment, % of GDPCondition0.67Weak
IPO count × first-day return (prior year, from 1981)Reference0.64Weak
Household equity share of financial assetsCondition0.63Weak
2-yr Treasury yield, rise from trailing 8-qtr lowTrigger0.63Weak
6-qtr change in fed funds rate (not in the dial)Reference0.62Weak
Shiller CAPECondition0.55No better than chance
2-yr real S&P 500 returnCondition0.46No better than chance
2-yr Treasury minus fed funds (not in the dial)Reference0.29Inverted: busts followed negative spreads more often (0.71 with the sign flipped). A late-cycle signal, not a trigger.
Triggers dial (credit + 2-yr yield)0.79Useful
Conditions dial (CAPE + household + run-up + investment)0.61Weak
Equal-weight composite of all six0.70Useful

Readings at past peaks

Dial readings at past S&P 500 peaks
PeakConditionsTriggersCompositeMax decline, next 2 yrs2-yr real return
Go-go / conglomerate boom (S&P peak Dec 1968)784165−29%−24.4%
Nifty Fifty (S&P peak Jan 1973)695364−42.9%−53.3%
1987 crash (peak Aug 1987)668573−24.4%+0.2%
Tech/telecom (peak Mar 2000)918489−27.6%−23.4%
Housing/credit (peak Oct 2007)795973−49.4%−32.6%
Pandemic (peak Feb 2020) (reference: no 20%+ decline on monthly averages)572646None+48.5%
Post-pandemic (peak Dec 2021)905077−20.3%−8.8%
Now (latest data, Sep 2026)833467——

Why not one number: outcomes by equal-weight composite reading

Outcomes by composite reading
Composite readingQuarters20%+ decline within 2 yrsWithin 3 yrs*Median 2-yr real return
0–40574%7%+8.5%
40–504212%14%+9.2%
50–605415%20%+8.3%
60–673321%23%+12%
67–752015%16%+14.6%
75+3231%47%+1.4%
All quarters23815%20%+9.2%

* Three-year columns cover quarters through Q3 2023 (234 of 238); the quarters excluded, Q4 2023 to Q3 2024, all fall in the High-conditions, Low-triggers cell, whose three-year figure is 5 of 50.

Method: six indicators with history to the 1950s are each converted to a percentile rank against all prior quarters (expanding window, minimum 10 years of history, so no hindsight). Conditions = mean of CAPE, household equity share, 2-yr real S&P 500 return and gross private investment/GDP percentiles; Triggers = mean of the 3-yr change in BIS private non-financial credit/GDP and the rise in the 2-yr Treasury yield from its lowest level in the trailing eight quarters (quarter-end months; FRED GS2 from 1976, GS1 before). Zones: Low below 50, Moderate 50–66, High 67+. Outcome: a 20%+ fall in the S&P 500 monthly-average price within the next 24 months. Quarters since Q3 2024 cannot yet be scored for outcomes. The IPO series (Ritter) starts in 1980 and is reported separately. Sources: Fed Z.1 and BEA via FRED, BIS via FRED, FRED GS2, GS1, FEDFUNDS and CPIAUCSL, multpl.com (Shiller CAPE and S&P 500 monthly averages), Jay Ritter. Economy-wide credit/GDP has been falling since 2021, which is why the mechanical Triggers dial reads Low even as the 2-yr yield rises and AI-specific financing accelerates: with credit at the 6th percentile, the rate trigger alone cannot lift the dial to Moderate unless the 2-yr rise reaches the 94th percentile of history, about +3.7pp from its low. The AI-specific scorecard is the overlay for that. A fully forward-looking rate measure, the 2-yr yield minus fed funds (hikes priced but not yet delivered), was tested and rejected as a trigger: AUC 0.29, with the sign inconsistent across peaks (+0.68pp at 2000Q1 and +1.12pp at 1987Q3, but -0.93pp at 2007Q3 and -0.2pp at 2020Q1). With the sign flipped it is a late-cycle signal (0.71), firing when tightening is over, so it is shown for reference only (table above and Fig. 3).

Conditions vs. Triggers, 1965–2026

(mechanical dial readings, 0–100; shaded = S&P 500 declines of 20%+)

Busts came when both dials were High; conditions alone ran hot for years

  • Conditions (Q3 2026 = 83)
  • Triggers (Q3 2026 = 34)
  • S&P 500 decline of 20%+
Conditions vs. Triggers, 1965–2026Line chart of Conditions, Triggers, Q2 1965 to Q3 2026. Use the arrow keys to step through values.002020404060608080100100196519681971197419771980198319861989199219951998200120042007201020132016201920222025
Conditions vs. Triggers, 1965–2026 (data)
DateConditionsTriggers
Q2 19658039
Q3 19658736
Q4 19658528
Q1 19667830
Q2 19666630
Q3 19664740
Q4 19665330
Q1 19676016
Q2 19675418
Q3 19676531
Q4 19676437
Q1 19685031
Q2 19687234
Q3 19687127
Q4 19687841
Q1 19696543
Q2 19695450
Q3 19694455
Q4 19693056
Q1 19701539
Q2 1970750
Q3 1970938
Q4 1970112
Q1 19713611
Q2 19713550
Q3 19713548
Q4 19713534
Q1 19725537
Q2 19726345
Q3 19726053
Q4 19726953
Q1 19735168
Q2 19733566
Q3 19733570
Q4 19732763
Q1 19742366
Q2 19742473
Q3 19741972
Q4 19742054
Q1 1975418
Q2 1975519
Q3 1975534
Q4 1975912
Q1 1976225
Q2 19763219
Q3 19764611
Q4 1976463
Q1 19773917
Q2 19773517
Q3 19773828
Q4 19773336
Q1 19782845
Q2 19783051
Q3 19783258
Q4 19782963
Q1 19793166
Q2 19793169
Q3 19793574
Q4 19793476
Q1 19803178
Q2 19803132
Q3 19803164
Q4 19804469
Q1 19814464
Q2 19814158
Q3 19812954
Q4 19813252
Q1 19822457
Q2 19822155
Q3 19822114
Q4 1982178
Q1 1983296
Q2 19834125
Q3 19834933
Q4 19835033
Q1 19845247
Q2 19845065
Q3 19845164
Q4 19844451
Q1 19854564
Q2 19854549
Q3 19854158
Q4 19855452
Q1 19866052
Q2 19866152
Q3 19865653
Q4 19865953
Q1 19876558
Q2 19876476
Q3 19876685
Q4 19875076
Q1 19884768
Q2 19884778
Q3 19884684
Q4 19884687
Q1 19894589
Q2 19894868
Q3 19895158
Q4 19896038
Q1 19905054
Q2 19905534
Q3 19903927
Q4 19903615
Q1 1991479
Q2 1991436
Q3 1991436
Q4 1991444
Q1 19924917
Q2 1992487
Q3 1992553
Q4 19925818
Q1 1993568
Q2 19935513
Q3 1993554
Q4 19935915
Q1 19945827
Q2 19946039
Q3 19945742
Q4 19945649
Q1 19956346
Q2 19956840
Q3 19957143
Q4 19957739
Q1 19967939
Q2 19968443
Q3 19968743
Q4 19968835
Q1 19979140
Q2 19979440
Q3 19979442
Q4 19979439
Q1 19989733
Q2 19989538
Q3 19989343
Q4 19989645
Q1 19999759
Q2 19999570
Q3 19999373
Q4 19999577
Q1 20009184
Q2 20009284
Q3 20009377
Q4 20008267
Q1 20016949
Q2 20016949
Q3 20016350
Q4 20015950
Q1 20026160
Q2 20025850
Q3 20024848
Q4 20025150
Q1 20034748
Q2 20035452
Q3 20036264
Q4 20036766
Q1 20046862
Q2 20047676
Q3 20048171
Q4 20048578
Q1 20058783
Q2 20058184
Q3 20058084
Q4 20058287
Q1 20068192
Q2 20067787
Q3 20068086
Q4 20068180
Q1 20077871
Q2 20078279
Q3 20077959
Q4 20077354
Q1 20085854
Q2 20085675
Q3 20084263
Q4 20082050
Q1 20091550
Q2 20092153
Q3 20093145
Q4 20093431
Q1 20103923
Q2 2010337
Q3 2010405
Q4 20106111
Q1 20116614
Q2 2011615
Q3 2011435
Q4 20114810
Q1 20125811
Q2 20125611
Q3 20126110
Q4 20125210
Q1 20136211
Q2 20136714
Q3 20137416
Q4 20137514
Q1 20147315
Q2 20147918
Q3 20147921
Q4 20148323
Q1 20158324
Q2 20158124
Q3 20157226
Q4 20157330
Q1 20166829
Q2 20166626
Q3 20166727
Q4 20167232
Q1 20177335
Q2 20177738
Q3 20178142
Q4 20178249
Q1 20188354
Q2 20188256
Q3 20188656
Q4 20187650
Q1 20198042
Q2 20198032
Q3 20198025
Q4 20197714
Q1 20205726
Q2 20206542
Q3 20207843
Q4 20208949
Q1 20218551
Q2 20218148
Q3 20218646
Q4 20219051
Q1 20229261
Q2 20227765
Q3 20227160
Q4 20227057
Q1 20236553
Q2 20236850
Q3 20236850
Q4 20237048
Q1 20247643
Q2 20248735
Q3 2024886
Q4 20248723
Q1 20258918
Q2 20258318
Q3 2025867
Q4 2025857
Q1 20268119
Q2 20268426
Q3 20268334

Source: YRI calculations from Fed Z.1, BEA, BIS and FRED data; multpl.com; see method note.

Note: Readings for 2026 carry the latest credit value (Q4 2025) forward; Q3 2026 also carries the Q2 household and investment values.

Note: Shaded areas are peak-to-trough periods of S&P 500 declines of 20% or more, measured on monthly averages.

Equal-Weight Composite, 1965–2026

(mean percentile of six indicators, 0–100; shaded = S&P 500 declines of 20%+)

An equal-weight composite crossed 75 before 2000, 2007 and 2021, but also sat above 67 for long stretches without a bust

  • Composite (6 indicators) (Q3 2026 = 67)
  • S&P 500 decline of 20%+
Equal-Weight Composite, 1965–2026Line chart of Composite (6 indicators), Q2 1965 to Q3 2026. Use the arrow keys to step through values.002020404060608080100100196519681971197419771980198319861989199219951998200120042007201020132016201920222025
Equal-Weight Composite, 1965–2026 (data)
DateComposite (6 indicators)
Q2 196566
Q3 196570
Q4 196566
Q1 196662
Q2 196654
Q3 196645
Q4 196645
Q1 196745
Q2 196742
Q3 196753
Q4 196755
Q1 196844
Q2 196859
Q3 196856
Q4 196865
Q1 196957
Q2 196953
Q3 196947
Q4 196939
Q1 197023
Q2 197021
Q3 197019
Q4 19708
Q1 197128
Q2 197140
Q3 197139
Q4 197134
Q1 197249
Q2 197257
Q3 197258
Q4 197264
Q1 197357
Q2 197345
Q3 197347
Q4 197339
Q1 197438
Q2 197440
Q3 197436
Q4 197432
Q1 19759
Q2 19759
Q3 197515
Q4 197510
Q1 197616
Q2 197628
Q3 197634
Q4 197632
Q1 197732
Q2 197729
Q3 197734
Q4 197734
Q1 197834
Q2 197837
Q3 197841
Q4 197841
Q1 197943
Q2 197944
Q3 197948
Q4 197948
Q1 198047
Q2 198032
Q3 198042
Q4 198052
Q1 198151
Q2 198147
Q3 198137
Q4 198139
Q1 198235
Q2 198232
Q3 198219
Q4 198214
Q1 198321
Q2 198336
Q3 198344
Q4 198345
Q1 198450
Q2 198455
Q3 198456
Q4 198447
Q1 198551
Q2 198546
Q3 198546
Q4 198553
Q1 198658
Q2 198658
Q3 198655
Q4 198657
Q1 198762
Q2 198768
Q3 198773
Q4 198759
Q1 198854
Q2 198857
Q3 198858
Q4 198860
Q1 198960
Q2 198955
Q3 198953
Q4 198953
Q1 199052
Q2 199048
Q3 199035
Q4 199029
Q1 199135
Q2 199131
Q3 199130
Q4 199131
Q1 199238
Q2 199234
Q3 199238
Q4 199245
Q1 199340
Q2 199341
Q3 199338
Q4 199345
Q1 199448
Q2 199453
Q3 199452
Q4 199454
Q1 199557
Q2 199559
Q3 199561
Q4 199564
Q1 199666
Q2 199670
Q3 199672
Q4 199670
Q1 199774
Q2 199776
Q3 199777
Q4 199775
Q1 199875
Q2 199876
Q3 199876
Q4 199879
Q1 199984
Q2 199986
Q3 199986
Q4 199989
Q1 200089
Q2 200089
Q3 200087
Q4 200077
Q1 200162
Q2 200162
Q3 200159
Q4 200156
Q1 200261
Q2 200255
Q3 200248
Q4 200251
Q1 200347
Q2 200353
Q3 200363
Q4 200367
Q1 200466
Q2 200476
Q3 200478
Q4 200483
Q1 200585
Q2 200582
Q3 200582
Q4 200584
Q1 200685
Q2 200680
Q3 200682
Q4 200680
Q1 200776
Q2 200781
Q3 200773
Q4 200766
Q1 200857
Q2 200862
Q3 200849
Q4 200830
Q1 200926
Q2 200931
Q3 200935
Q4 200933
Q1 201034
Q2 201024
Q3 201029
Q4 201044
Q1 201149
Q2 201142
Q3 201130
Q4 201135
Q1 201242
Q2 201241
Q3 201244
Q4 201238
Q1 201345
Q2 201349
Q3 201354
Q4 201355
Q1 201454
Q2 201459
Q3 201460
Q4 201463
Q1 201563
Q2 201562
Q3 201557
Q4 201558
Q1 201655
Q2 201653
Q3 201654
Q4 201658
Q1 201760
Q2 201764
Q3 201768
Q4 201771
Q1 201874
Q2 201873
Q3 201876
Q4 201867
Q1 201967
Q2 201964
Q3 201962
Q4 201956
Q1 202046
Q2 202057
Q3 202067
Q4 202076
Q1 202174
Q2 202170
Q3 202172
Q4 202177
Q1 202282
Q2 202273
Q3 202267
Q4 202266
Q1 202361
Q2 202362
Q3 202362
Q4 202362
Q1 202465
Q2 202470
Q3 202461
Q4 202466
Q1 202565
Q2 202561
Q3 202559
Q4 202559
Q1 202660
Q2 202664
Q3 202667

Source: YRI calculations; see method note.

Note: Shown for reference; the dials above are the meter’s reading. On this composite only readings above 75 have been informative.

Note: Shaded areas are peak-to-trough periods of S&P 500 declines of 20% or more, measured on monthly averages.

2-Year Treasury Minus Fed Funds, 1965–2026

(percentage points, quarter-end months; positive = market prices hikes; shaded = S&P 500 declines of 20%+)

Reference, not a trigger: at +0.90pp the market is pricing further hikes, the widest gap since 2022, but past busts followed both signs of this spread

  • 2-yr yield minus effective fed funds (Q3 2026 = +0.90pp)
  • S&P 500 decline of 20%+
2-Year Treasury Minus Fed Funds, 1965–2026Line chart of 2-yr yield minus effective fed funds, Q1 1965 to Q3 2026. Use the arrow keys to step through values.-5-5-4-4-3-3-2-2-1-100112233196519681971197419771980198319861989199219951998200120042007201020132016201920222025
2-Year Treasury Minus Fed Funds, 1965–2026 (data)
Date2-yr yield minus effective fed funds
Q1 1965+0.01pp
Q2 1965-0.06pp
Q3 1965+0.18pp
Q4 1965+0.40pp
Q1 1966+0.31pp
Q2 1966-0.20pp
Q3 1966+0.42pp
Q4 1966-0.20pp
Q1 1967-0.18pp
Q2 1967+0.50pp
Q3 1967+1.25pp
Q4 1967+1.20pp
Q1 1968+0.53pp
Q2 1968-0.09pp
Q3 1968-0.33pp
Q4 1968+0.17pp
Q1 1969-0.45pp
Q2 1969-1.86pp
Q3 1969-1.33pp
Q4 1969-0.80pp
Q1 1970-0.79pp
Q2 1970-0.06pp
Q3 1970+0.44pp
Q4 1970+0.10pp
Q1 1971-0.02pp
Q2 1971+0.73pp
Q3 1971-0.14pp
Q4 1971+0.46pp
Q1 1972+0.84pp
Q2 1972+0.47pp
Q3 1972+0.65pp
Q4 1972+0.19pp
Q1 1973-0.24pp
Q2 1973-1.18pp
Q3 1973-2.47pp
Q4 1973-2.68pp
Q1 1974-1.59pp
Q2 1974-3.26pp
Q3 1974-2.47pp
Q4 1974-1.22pp
Q1 1975+0.57pp
Q2 1975+0.74pp
Q3 1975+1.51pp
Q4 1975+1.40pp
Q1 1976+1.37pp
Q2 1976+1.58pp
Q3 1976+1.17pp
Q4 1976+0.73pp
Q1 1977+1.40pp
Q2 1977+0.74pp
Q3 1977+0.57pp
Q4 1977+0.62pp
Q1 1978+0.79pp
Q2 1978+0.64pp
Q3 1978+0.12pp
Q4 1978-0.31pp
Q1 1979-0.30pp
Q2 1979-1.07pp
Q3 1979-1.37pp
Q4 1979-2.39pp
Q1 1980-2.31pp
Q2 1980-0.74pp
Q3 1980+0.70pp
Q4 1980-4.82pp
Q1 1981-1.13pp
Q2 1981-4.59pp
Q3 1981+0.59pp
Q4 1981+0.92pp
Q1 1982-0.49pp
Q2 1982+0.32pp
Q3 1982+1.47pp
Q4 1982+0.71pp
Q1 1983+0.89pp
Q2 1983+1.20pp
Q3 1983+1.34pp
Q4 1983+1.37pp
Q1 1984+1.40pp
Q2 1984+1.85pp
Q3 1984+0.90pp
Q4 1984+1.80pp
Q1 1985+2.13pp
Q2 1985+1.16pp
Q3 1985+1.06pp
Q4 1985-0.12pp
Q1 1986-0.27pp
Q2 1986+0.26pp
Q3 1986+0.46pp
Q4 1986-0.64pp
Q1 1987+0.29pp
Q2 1987+0.84pp
Q3 1987+1.12pp
Q4 1987+1.09pp
Q1 1988+0.69pp
Q2 1988+0.52pp
Q3 1988+0.27pp
Q4 1988+0.33pp
Q1 1989-0.17pp
Q2 1989-1.12pp
Q3 1989-0.74pp
Q4 1989-0.67pp
Q1 1990+0.35pp
Q2 1990+0.06pp
Q3 1990-0.12pp
Q4 19900.00pp
Q1 1991+0.98pp
Q2 1991+1.06pp
Q3 1991+0.73pp
Q4 1991+0.60pp
Q1 1992+1.71pp
Q2 1992+1.29pp
Q3 1992+0.67pp
Q4 1992+1.75pp
Q1 1993+0.88pp
Q2 1993+1.12pp
Q3 1993+0.76pp
Q4 1993+1.25pp
Q1 1994+1.66pp
Q2 1994+1.68pp
Q3 1994+1.66pp
Q4 1994+2.14pp
Q1 1995+0.80pp
Q2 1995-0.28pp
Q3 1995+0.01pp
Q4 1995-0.28pp
Q1 1996+0.35pp
Q2 1996+1.03pp
Q3 1996+0.93pp
Q4 1996+0.49pp
Q1 1997+0.83pp
Q2 1997+0.53pp
Q3 1997+0.34pp
Q4 1997+0.22pp
Q1 1998+0.07pp
Q2 1998-0.04pp
Q3 1998-0.84pp
Q4 1998-0.17pp
Q1 1999+0.24pp
Q2 1999+0.86pp
Q3 1999+0.44pp
Q4 1999+0.80pp
Q1 2000+0.68pp
Q2 2000-0.05pp
Q3 2000-0.44pp
Q4 2000-1.05pp
Q1 2001-0.97pp
Q2 2001+0.11pp
Q3 2001+0.05pp
Q4 2001+1.29pp
Q1 2002+1.83pp
Q2 2002+1.24pp
Q3 2002+0.25pp
Q4 2002+0.60pp
Q1 2003+0.32pp
Q2 2003+0.01pp
Q3 2003+0.70pp
Q4 2003+0.93pp
Q1 2004+0.58pp
Q2 2004+1.73pp
Q3 2004+0.92pp
Q4 2004+0.85pp
Q1 2005+1.10pp
Q2 2005+0.60pp
Q3 2005+0.33pp
Q4 2005+0.24pp
Q1 2006+0.14pp
Q2 2006+0.13pp
Q3 2006-0.48pp
Q4 2006-0.57pp
Q1 2007-0.69pp
Q2 2007-0.27pp
Q3 2007-0.93pp
Q4 2007-1.12pp
Q1 2008-0.99pp
Q2 2008+0.77pp
Q3 2008+0.27pp
Q4 2008+0.66pp
Q1 2009+0.75pp
Q2 2009+0.97pp
Q3 2009+0.81pp
Q4 2009+0.75pp
Q1 2010+0.80pp
Q2 2010+0.54pp
Q3 2010+0.29pp
Q4 2010+0.44pp
Q1 2011+0.56pp
Q2 2011+0.32pp
Q3 2011+0.13pp
Q4 2011+0.19pp
Q1 2012+0.21pp
Q2 2012+0.13pp
Q3 2012+0.12pp
Q4 2012+0.10pp
Q1 2013+0.12pp
Q2 2013+0.24pp
Q3 2013+0.32pp
Q4 2013+0.25pp
Q1 2014+0.32pp
Q2 2014+0.35pp
Q3 2014+0.48pp
Q4 2014+0.52pp
Q1 2015+0.53pp
Q2 2015+0.56pp
Q3 2015+0.57pp
Q4 2015+0.74pp
Q1 2016+0.52pp
Q2 2016+0.35pp
Q3 2016+0.37pp
Q4 2016+0.66pp
Q1 2017+0.52pp
Q2 2017+0.30pp
Q3 2017+0.23pp
Q4 2017+0.54pp
Q1 2018+0.77pp
Q2 2018+0.71pp
Q3 2018+0.82pp
Q4 2018+0.41pp
Q1 20190.00pp
Q2 2019-0.57pp
Q3 2019-0.39pp
Q4 2019+0.06pp
Q1 2020-0.20pp
Q2 2020+0.11pp
Q3 2020+0.04pp
Q4 2020+0.05pp
Q1 2021+0.08pp
Q2 2021+0.12pp
Q3 2021+0.16pp
Q4 2021+0.60pp
Q1 2022+1.71pp
Q2 2022+1.79pp
Q3 2022+1.30pp
Q4 2022+0.19pp
Q1 2023-0.35pp
Q2 2023-0.44pp
Q3 2023-0.31pp
Q4 2023-0.87pp
Q1 2024-0.74pp
Q2 2024-0.59pp
Q3 2024-1.51pp
Q4 2024-0.25pp
Q1 2025-0.36pp
Q2 2025-0.44pp
Q3 2025-0.65pp
Q4 2025-0.22pp
Q1 2026+0.07pp
Q2 2026+0.48pp
Q3 2026+0.90pp

Source: FRED GS2 (GS1 before 1976) and FEDFUNDS; YRI calculations.

Note: Tested as a forward-looking rate trigger and rejected (see method note): busts have followed a negative spread (2007, 2020) as often as a positive one (1987, 2000). Four-quarter change to Q3 2026: +1.55pp, 94th percentile.

Note: Shaded areas are peak-to-trough periods of S&P 500 declines of 20% or more, measured on monthly averages.

AI-Specific Scorecard

Ten conditions that preceded the tech/telecom and housing busts, scored by judgment against today’s AI-cycle data. Each is tagged as a Condition or a Trigger. This layer captures what the economy-wide backtest cannot see, such as vendor-backed chip financing. It is not itself backtestable.

AI-specific scorecard
ValuationsBlockConditionScore nowHighMid-July 2026High

CAPE ~40 (Jan 39.7); S&P 500 forward P/E 20.3 on Jul 17 (FactSet), slightly higher than today.

ThenCAPE peaked at 44.2 in Dec 1999 (multpl; FRBSF gives 43 for 2000, FRBSF 2017); IT sector forward P/E hit a record 48.3 in Mar 2000 (Yardeni QuickTakes). Housing: CAPE was 27.2 in Jan 2007.NowCAPE 41.0 on Oct 15, 2026 (multpl), within 8% of the 2000 peak. S&P 500 forward P/E 19.0, just below its 10-year average of 19.1 (FactSet, Oct 16), but only because CY2026 earnings growth is forecast at 32.8%. Fed FSR (May 2026): “Asset valuation pressures were elevated” (Fed). IMF GFSR (Oct 2026) names “an artificial intelligence-driven market correction” as one of three rising risks to global financial stability (IMF).

CAPE is at a level seen only in 1999–2000. The forward P/E looks ordinary only if the earnings forecasts hold.

Market concentrationBlockConditionScore nowHighMid-July 2026High

Top-10 weight 37.9% at the June filing, below the Dec 2025 peak; IT weight for July not verified.

ThenIT reached a record 32.9% of the S&P 500 in Mar 2000 (Yardeni QuickTakes); the 20 largest Nasdaq firms were over one-third of Nasdaq’s value (FRBSF 2001).NowIT is 39.9% of the S&P 500 as of Sep 30, 2026 (S&P DJI), above the 2000 record. Top-10 stocks 37.9% (Jun 2026), after a 40.7% peak in Dec 2025 (ChartRow, from fund filings; press). IMF: “a small set of firms increasingly drive equity markets.”

Concentration already exceeds the 2000 peak on the sector measure.

Investment boomBlockConditionScore nowHighMid-July 2026High

Latest data were Q1 2026: IPE & software investment 4.97% of GDP; Big-5 capex $149bn in Q1.

ThenReal IT investment grew 24% a year 1995–2000, then fell ~11% in 2001; telecom carriers’ capex went from $47bn (1995) to $121bn (2000) to $49bn (2002) (Doms, FRBSF). Information-processing equipment & software investment peaked at 4.3–4.4% of GDP in 2000 (YRI calc from BEA). Housing: residential investment hit 6.7% of GDP in 2005 vs a 4.3% 1990s average (BEA/FRED).NowIPE & software investment is 5.05% of GDP in Q2 2026, a record, up 19.7% y/y in nominal terms (YRI calc from BEA and GDP). Big-5 hyperscaler capex is 5x its Q1 2023 level.

The investment share of GDP is already above the 2000 peak and still accelerating.

Revenue validation of the build-outBlockTriggerScore nowModerateMid-July 2026Moderate

Q1 2026 results: Google Cloud +63%, AWS +28%; backlog ~$2.0tn. Anthropic’s loss figures were not yet public (Reuters, Sep 28).

ThenOnly 2–5% of US fiber was lit by 2002 (FDIC); 76% of 1999 IPOs and 81% of 2000 IPOs had negative earnings (Ritter). Housing: Bernanke, Oct 2005: price gains “largely reflect strong economic fundamentals” (testimony).NowCloud revenue growth of 37–82% y/y and ~$2.35tn of contracted backlog across Microsoft, Oracle, Google Cloud and Amazon. But the labs signing the contracts are loss-making: Anthropic’s draft prospectus shows a 2025 operating loss above $8bn on $4.6bn of revenue (Reuters via InvestmentNews; press). IMF GFSR (Oct 2026) again flags “circular financing arrangements involving equity and debt flows between AI firms” (IMF).

Unlike dark fiber, this capacity is being used and paid for. The payers are not yet self-funding.

Internal funding capacityBlockTriggerScore nowModerateMid-July 2026Moderate

T4Q to Q1 2026: Amazon capex 102% of OCF, Alphabet 63%, Meta 63%, Microsoft 57%; Big-4 FCF $181bn.

ThenUS telecom companies borrowed more than $320bn in 1999–2001 to fund the build-out (Noam, Columbia); telecom was 25.8% of corporate bond default volume in 2001 (FDIC).NowTrailing-4Q capex is 107% of operating cash flow at Amazon, 71% at Alphabet and Meta, 63% at Microsoft; combined Big-4 free cash flow fell from $232bn to $147bn. Amazon’s own TTM free cash flow is an outflow of $7.6bn (Q2 2026 release). Bank of England, Jul 2026: “FCF declining” (BoE).

Still mostly cash-funded, but the margin of safety is shrinking every quarter.

Debt and financing structuresBlockTriggerScore nowHigh
▲ raised
Mid-July 2026Moderate

Debt was mostly plain investment-grade bonds from the strongest balance sheets (Alphabet, Meta, Oracle, Amazon); Fed FSR counted ~$100bn of cloud IG issuance in Q1; IMF had flagged “circular financing” in April. The vendor-backed chip-lease structures came later: Broadcom’s ~$29bn lease backstop and $42bn note facility (10-Q, Sep 10), the $60bn Anthropic syndication (Oct 5), >$50bn for OpenAI and $40bn for SpaceX (Oct 7).

Then1990s: equipment makers’ vendor financing and $320bn of telecom borrowing. 2000s: originate-to-distribute; shadow-bank liabilities of ~$22tn vs ~$14tn for banks by Jun 2007 (NY Fed); Bernanke (2010) on “excessive leverage” and AIG’s unhedged correlated risks (Fed).NowCloud-related investment-grade issuance neared $100bn in Q1 2026 alone; private credit ~$1.4tn (Fed FSR). BoE: hyperscaler issuance in H1 2026 exceeds all of 2025, with “increasing dependence on accommodative future refinancing conditions” (BoE). Software is ~1/5 of direct lending (IMF). Vendor-backed and off-balance-sheet deals: $60bn for Anthropic’s chip leases, $42bn Broadcom-backed (FT via Dealroom); Broadcom arranging >$50bn for OpenAI (WSJ via Yahoo); SpaceX seeking $40bn for Nvidia chips (FT via Yahoo); Meta–Blue Owl Hyperion JV ~$27bn (Meta). IMF GFSR (Oct 2026): a review of 14 AI transactions since 2023 found about $300bn of equity and $650bn of debt exchanged for $1.4tn of future revenue commitments; “hyperscalers are borrowing more” (IMF). Press (Oct 16–17): the $60bn Anthropic package includes an $18bn subordinated tranche, with Blackstone taking ~$9bn at a 10% coupon, about 3pp above BB-rated borrowers (TokenPost; press).

The structures that turned past booms into busts — vendor financing, SPVs, private credit, circular deals — are all present and growing fast. Hyperscaler balance sheets themselves remain strong.

Interest-rate tighteningBlockTriggerScore nowModerate
▲ raised
Mid-July 2026Low

2-yr Treasury yield 4.11% in June, up 61bp from its Dec 2025 low of 3.50% (a 45th-percentile rise on the mechanical measure); fed funds 3.63%, on hold after a year of cuts, with no hike until Sep 16.

ThenThe 2-yr Treasury yield rose from 4.51% (Dec 1998) to 6.53% (Mar 2000), +202bp, as fed funds went from 4.6% to 6.5%; the Nasdaq peaked in Mar 2000. It rose from 1.58% (Mar 2004) to 5.12% (Jun 2006), +354bp, as fed funds went from 1.0% to 5.25%; house prices peaked Jul 2006 (FRED GS2, FEDFUNDS).NowThe 2-yr yield has risen from 3.50% (Dec 2025) to 4.65% (Sep 2026), +115bp, and is up 108bp y/y, a 79th-percentile one-year move; it was 4.77% on Oct 15 (FRED GS2, DGS2). The FOMC followed the market, raising the target range 25bp to 3.75–4.0% on Sep 16, 2026, 12–0, after cutting from 5.33% to 3.63% (FOMC).

Tightening is underway and the market is leading the Fed. So far the 2-yr move is a third to a half of the 1999–2000 and 2004–06 campaigns.

Household participation and leverageBlockConditionScore nowHighMid-July 2026High

Household equity share 44.7% (Q1 2026, then a record); margin debt $1.50tn in June, the high of the period.

ThenEquities were a record 38.7% of household financial assets in Q1 2000, up from 21.2% in 1995; 31.5% in Q4 2007 (Fed Z.1 via FRED). Margin debt peaked in Mar 2000.NowEquities are 48.2% of household financial assets in Q2 2026, a record (Fed Z.1 via FRED). FINRA margin debt $1.48tn in Sep 2026, up 31% y/y and just below the $1.50tn June high (FINRA); ~4.5% of GDP (YRI calc).

Households are more exposed to equities than at either prior peak, and margin borrowing is rising fast.

Speculative issuanceBlockConditionScore nowModerateMid-July 2026Moderate

OpenAI and Anthropic had filed confidentially in June; 2025 Ritter data unchanged.

Then476 IPOs in 1999 with a 71% average first-day return; 380 in 2000 at 56% (Ritter). Only 14% of 1999 tech IPOs were profitable.Now90 IPOs in 2025 with a 29% average first-day return, up from 73 and 15% in 2024; 26% of tech IPOs profitable (Ritter). OpenAI (last valued $852bn) and Anthropic filed confidentially for IPOs in Jun 2026 (TechCrunch; press). Greenwood–Shleifer–You find issuance is a predictive feature of crashes (NBER).

Volumes are a fraction of 1999, but first-day pops are rising and the largest IPOs in history are queued.

Idle-capacity signalsBlockTriggerScore nowLowMid-July 2026Low

Sightline/Axios delay report (Feb) already published; backlogs contracted.

ThenCommunications-equipment orders fell from $13.3bn (Jun 2000) to $3.6bn (Sep 2001); capacity utilization 55% vs 87% (FDIC). Housing starts fell from 2.27mn (Jan 2006) to 0.48mn (Apr 2009).NowData-center construction +73% y/y to a record $85bn saar. Up to half of 2026 projects may face delays and 9 cancellations were tracked (Sightline via Axios; press), but the binding constraint is power and permitting, not demand; backlogs are contracted.

No evidence yet of capacity sitting idle. This is the indicator that turned first in 2000–01.

Then and Now

Matched readings at the 2000 and 2007 peaks versus the latest.

Then and now
MeasureTech/telecom peak, 2000Housing peak, 2006–07Now, 2026
Shiller CAPE44.2 (Dec 1999)27.2 (Jan 2007)41.0 (Oct 15, 2026)
Largest sector, % of S&P 500IT 32.9% (Mar 2000)Financials ~20–22% (press, conflicting)IT 39.9% (Sep 30, 2026)
Boom-sector investment, % of GDPIPE & software 4.3–4.4% (2000)Residential 6.7% (2005)IPE & software 5.05% (Q2 2026)
Equities, % of household financial assets38.7% (Q1 2000)31.5% (Q4 2007)48.2% (Q2 2026)
2-yr Treasury yield at the peak6.53% (Mar 2000) after +202bp from Dec 19985.12% (Jun 2006) after +354bp from Mar 20044.65% (Sep 2026) after +115bp from Dec 2025; 4.77% on Oct 15
Fed funds at the peak6.5% after +175bp5.25% after +425bp3.75–4.0% after +25bp (Sep 2026)
IPO market476 IPOs, +71% first day (1999)—90 IPOs, +29% (2025); OpenAI/Anthropic filed
Debt build-upTelecom borrowed >$320bn (1999–2001)Mortgage debt 2.2x (2000–07); shadow banking ~$22tnCloud IG issuance ~$100bn in Q1 2026; H1 > all of 2025
Capacity use2–5% of fiber lit (2002)Starts 2.27mn → 0.48mnBacklog ~$2.35tn; power-constrained
What followedNasdaq −78% (Mar 2000–Oct 2002); S&P 500 −15% by May 2001 and further afterS&P 500 −57% (Oct 2007–Mar 2009); home prices −27%—

Charts

The series behind the scores.

Shiller CAPE at Market Peaks

(cyclically adjusted P/E, S&P 500)

Valuations are within 8% of the 2000 peak

  • Shiller CAPE
Shiller CAPE at Market PeaksGrouped bar chart of Shiller CAPE, Dec 1999 to Oct 15, 2026. Use the arrow keys to step through values.001010202030304040505044.243.827.237.139.741.0Dec1999Jan2000Jan2007Jan2025Jan2026Oct 15,2026
Shiller CAPE at Market Peaks (data)
PeriodShiller CAPE
Dec 199944.19
Jan 200043.77
Jan 200727.21
Jan 202537.14
Jan 202639.65
Oct 15, 202641.01

Source: multpl.com (Shiller data) (secondary); FRBSF Economic Letter 2017-33 gives 43 for 2000.

Note: Long-run mean since 1871: 17.4 (multpl).

Tech Investment Share of GDP

(private fixed investment in information processing equipment & software, % of nominal GDP)

The investment share of GDP is above its 2000 peak and rising

  • IPE & software investment, % of GDP
Tech Investment Share of GDPGrouped bar chart of IPE & software investment, % of GDP, Q1 1995 to Q2 2026. Use the arrow keys to step through values.0%0%1%1%2%2%3%3%4%4%5%5%6%6%3.23.64.04.34.44.33.73.43.63.94.14.04.44.54.64.85.05.195Q197Q199Q100Q100Q201Q102Q103Q107Q419Q423Q124Q125Q125Q225Q325Q426Q126Q2
Tech Investment Share of GDP (data)
PeriodIPE & software investment, % of GDP
Q1 19953.24%
Q1 19973.58%
Q1 19993.99%
Q1 20004.31%
Q2 20004.39%
Q1 20014.34%
Q1 20023.65%
Q1 20033.43%
Q4 20073.61%
Q4 20193.91%
Q1 20234.07%
Q1 20244.01%
Q1 20254.38%
Q2 20254.49%
Q3 20254.57%
Q4 20254.75%
Q1 20264.97%
Q2 20265.05%

Source: YRI calculation from BEA via FRED A679RC1Q027SBEA and GDP.

Note: Selected quarters: 1995–2003, 2007 and 2019 for reference, and 2023–2026.

Household Equity Exposure

(corporate equities held directly and indirectly, % of household financial assets)

Households hold more equities than at either prior peak

  • Equities, % of household financial assets
Household Equity ExposureGrouped bar chart of Equities, % of household financial assets, Q1 1995 to Q2 2026. Use the arrow keys to step through values.0%0%10%10%20%20%30%30%40%40%50%50%60%60%21.2%38.7%22.9%31.5%41.8%44.7%48.2%95 Q100 Q103 Q107 Q425 Q126 Q126 Q2
Household Equity Exposure (data)
PeriodEquities, % of household financial assets
Q1 199521.2%
Q1 200038.7%
Q1 200322.9%
Q4 200731.5%
Q1 202541.8%
Q1 202644.7%
Q2 202648.2%

Source: Federal Reserve Z.1 via FRED BOGZ1FL153064486Q.

Fed Funds Rate: Three Cycles

(effective federal funds rate, percent; years from start of each window)

Both prior busts followed a sustained Fed tightening campaign; this cycle has just turned (reference: the dial uses the 2-yr yield, next chart)

  • 1998–2002 (peak 6.5%, May 2000)
  • 2004–2008 (peak 5.25%, Jun 2006)
  • 2022–2026 (hiked to 3.75–4% Sep 2026)
Fed Funds Rate: Three CyclesLine chart of 1998–2002 (peak 6.5%, May 2000), 2004–2008 (peak 5.25%, Jun 2006), 2022–2026 (hiked to 3.75–4% Sep 2026), Jan 1998 to Sep 2026. Use the arrow keys to step through values.0%0%1%1%2%2%3%3%4%4%5%5%6%6%7%7%Yr 0Yr 1Yr 2Yr 3Yr 4
Fed Funds Rate: Three Cycles (data)
Date1998–2002 (peak 6.5%, May 2000)2004–2008 (peak 5.25%, Jun 2006)2022–2026 (hiked to 3.75–4% Sep 2026)
Jan 19985.56%——
Feb 19985.51%——
Mar 19985.49%——
Apr 19985.45%——
May 19985.49%——
Jun 19985.56%——
Jul 19985.54%——
Aug 19985.55%——
Sep 19985.51%——
Oct 19985.07%——
Nov 19984.83%——
Dec 19984.68%——
Jan 19994.63%——
Feb 19994.76%——
Mar 19994.81%——
Apr 19994.74%——
May 19994.74%——
Jun 19994.76%——
Jul 19994.99%——
Aug 19995.07%——
Sep 19995.22%——
Oct 19995.20%——
Nov 19995.42%——
Dec 19995.30%——
Jan 20005.45%——
Feb 20005.73%——
Mar 20005.85%——
Apr 20006.02%——
May 20006.27%——
Jun 20006.53%——
Jul 20006.54%——
Aug 20006.50%——
Sep 20006.52%——
Oct 20006.51%——
Nov 20006.51%——
Dec 20006.40%——
Jan 20015.98%——
Feb 20015.49%——
Mar 20015.31%——
Apr 20014.80%——
May 20014.21%——
Jun 20013.97%——
Jul 20013.77%——
Aug 20013.65%——
Sep 20013.07%——
Oct 20012.49%——
Nov 20012.09%——
Dec 20011.82%——
Jan 20021.73%——
Feb 20021.74%——
Mar 20021.73%——
Apr 20021.75%——
May 20021.75%——
Jun 20021.75%——
Jul 20021.73%——
Aug 20021.74%——
Sep 20021.75%——
Oct 20021.75%——
Nov 20021.34%——
Dec 20021.24%——
Jan 2004—1.00%—
Feb 2004—1.01%—
Mar 2004—1.00%—
Apr 2004—1.00%—
May 2004—1.00%—
Jun 2004—1.03%—
Jul 2004—1.26%—
Aug 2004—1.43%—
Sep 2004—1.61%—
Oct 2004—1.76%—
Nov 2004—1.93%—
Dec 2004—2.16%—
Jan 2005—2.28%—
Feb 2005—2.50%—
Mar 2005—2.63%—
Apr 2005—2.79%—
May 2005—3.00%—
Jun 2005—3.04%—
Jul 2005—3.26%—
Aug 2005—3.50%—
Sep 2005—3.62%—
Oct 2005—3.78%—
Nov 2005—4.00%—
Dec 2005—4.16%—
Jan 2006—4.29%—
Feb 2006—4.49%—
Mar 2006—4.59%—
Apr 2006—4.79%—
May 2006—4.94%—
Jun 2006—4.99%—
Jul 2006—5.24%—
Aug 2006—5.25%—
Sep 2006—5.25%—
Oct 2006—5.25%—
Nov 2006—5.25%—
Dec 2006—5.24%—
Jan 2007—5.25%—
Feb 2007—5.26%—
Mar 2007—5.26%—
Apr 2007—5.25%—
May 2007—5.25%—
Jun 2007—5.25%—
Jul 2007—5.26%—
Aug 2007—5.02%—
Sep 2007—4.94%—
Oct 2007—4.76%—
Nov 2007—4.49%—
Dec 2007—4.24%—
Jan 2008—3.94%—
Feb 2008—2.98%—
Mar 2008—2.61%—
Apr 2008—2.28%—
May 2008—1.98%—
Jun 2008—2.00%—
Jul 2008—2.01%—
Aug 2008—2.00%—
Sep 2008—1.81%—
Oct 2008—0.97%—
Nov 2008—0.39%—
Dec 2008—0.16%—
Jan 2022——0.08%
Feb 2022——0.08%
Mar 2022——0.20%
Apr 2022——0.33%
May 2022——0.77%
Jun 2022——1.21%
Jul 2022——1.68%
Aug 2022——2.33%
Sep 2022——2.56%
Oct 2022——3.08%
Nov 2022——3.78%
Dec 2022——4.10%
Jan 2023——4.33%
Feb 2023——4.57%
Mar 2023——4.65%
Apr 2023——4.83%
May 2023——5.06%
Jun 2023——5.08%
Jul 2023——5.12%
Aug 2023——5.33%
Sep 2023——5.33%
Oct 2023——5.33%
Nov 2023——5.33%
Dec 2023——5.33%
Jan 2024——5.33%
Feb 2024——5.33%
Mar 2024——5.33%
Apr 2024——5.33%
May 2024——5.33%
Jun 2024——5.33%
Jul 2024——5.33%
Aug 2024——5.33%
Sep 2024——5.13%
Oct 2024——4.83%
Nov 2024——4.64%
Dec 2024——4.48%
Jan 2025——4.33%
Feb 2025——4.33%
Mar 2025——4.33%
Apr 2025——4.33%
May 2025——4.33%
Jun 2025——4.33%
Jul 2025——4.33%
Aug 2025——4.33%
Sep 2025——4.22%
Oct 2025——4.09%
Nov 2025——3.88%
Dec 2025——3.72%
Jan 2026——3.64%
Feb 2026——3.64%
Mar 2026——3.64%
Apr 2026——3.64%
May 2026——3.63%
Jun 2026——3.63%
Jul 2026——3.63%
Aug 2026——3.63%
Sep 2026——3.75%

Source: FRED FEDFUNDS; FOMC statement, Sep 16 2026.

2-Year Treasury Yield: Three Tightening Cycles

(percent, quarter-end months; years from the cycle low in the 2-yr yield)

The market rate trigger: the 2-yr yield is up 115bp from its low in three quarters, against +202bp and +354bp before the 2000 and 2006 peaks

  • Low Dec 1998 → 6.53% Mar 2000 (+202bp)
  • Low Mar 2004 → 5.12% Jun 2006 (+354bp)
  • Low Dec 2025 → 4.65% Sep 2026 (+115bp)
2-Year Treasury Yield: Three Tightening CyclesLine chart of Low Dec 1998 → 6.53% Mar 2000 (+202bp), Low Mar 2004 → 5.12% Jun 2006 (+354bp), Low Dec 2025 → 4.65% Sep 2026 (+115bp), Dec 1996 to Sep 2026. Use the arrow keys to step through values.0%0%1%1%2%2%3%3%4%4%5%5%6%6%7%7%Yr −2Yr −1LowYr +1Yr +2Yr +3Yr +4
2-Year Treasury Yield: Three Tightening Cycles (data)
DateLow Dec 1998 → 6.53% Mar 2000 (+202bp)Low Mar 2004 → 5.12% Jun 2006 (+354bp)Low Dec 2025 → 4.65% Sep 2026 (+115bp)
Dec 19965.78%——
Mar 19976.22%——
Jun 19976.09%——
Sep 19975.88%——
Dec 19975.72%——
Mar 19985.56%——
Jun 19985.52%——
Sep 19984.67%——
Dec 19984.51%——
Mar 19995.05%——
Jun 19995.62%——
Sep 19995.66%——
Dec 19996.10%——
Mar 20006.53%——
Jun 20006.48%——
Sep 20006.08%——
Dec 20005.35%——
Mar 20014.34%——
Jun 20014.08%——
Sep 20013.12%——
Dec 20013.11%——
Mar 20023.56%3.56%—
Jun 20022.99%2.99%—
Sep 20022.00%2.00%—
Dec 20021.84%1.84%—
Mar 2003—1.57%—
Jun 2003—1.23%—
Sep 2003—1.71%—
Dec 2003—1.91%—
Mar 2004—1.58%—
Jun 2004—2.76%—
Sep 2004—2.53%—
Dec 2004—3.01%—
Mar 2005—3.73%—
Jun 2005—3.64%—
Sep 2005—3.95%—
Dec 2005—4.40%—
Mar 2006—4.73%—
Jun 2006—5.12%—
Sep 2006—4.77%—
Dec 2006—4.67%—
Mar 2007—4.57%—
Jun 2007—4.98%—
Sep 2007—4.01%—
Dec 2007—3.12%—
Mar 2008—1.62%—
Dec 2023——4.46%
Mar 2024——4.59%
Jun 2024——4.74%
Sep 2024——3.62%
Dec 2024——4.23%
Mar 2025——3.97%
Jun 2025——3.89%
Sep 2025——3.57%
Dec 2025——3.50%
Mar 2026——3.71%
Jun 2026——4.11%
Sep 2026——4.65%

Source: FRED GS2; YRI alignment. The mechanical Triggers dial scores this rise against its trailing 8-quarter low.

Note: Windows run from eight quarters before each low to four years after. Lows are the lowest quarter-end month: Dec 1998, Mar 2004, Dec 2025.

FINRA Margin Debt

(debit balances in customers’ securities margin accounts, billion dollars)

Margin debt is up 31% y/y, just below June’s high

  • FINRA margin debt
FINRA Margin DebtGrouped bar chart of FINRA margin debt, Sep 2025 to Sep 2026. Use the arrow keys to step through values.$0$0$200$200$400$400$600$600$800$800$1,000$1,000$1,200$1,200$1,400$1,400$1,600$1,600$1,800$1,8001,1261,2261,2211,5021,480Sep-25Nov-25Jan-26Mar-26May-26Jul-26Sep-26
FINRA Margin Debt (data)
PeriodFINRA margin debt
Sep 2025$1,126bn
Oct 2025$1,184bn
Nov 2025$1,214bn
Dec 2025$1,226bn
Jan 2026$1,279bn
Feb 2026$1,253bn
Mar 2026$1,221bn
Apr 2026$1,304bn
May 2026$1,416bn
Jun 2026$1,502bn
Jul 2026$1,417bn
Aug 2026$1,454bn
Sep 2026$1,480bn

Source: FINRA margin statistics.

Note: FINRA’s public table covers the latest 13 months; the long-run record was not verified.

Hyperscaler Capex as % of Operating Cash Flow

(percent, trailing four quarters)

Capex is absorbing a rising share of cash flow

  • Microsoft (Q2 2026 = 63.4%)
  • Alphabet (Q2 2026 = 71.3%)
  • Amazon (Q2 2026 = 107.2%)
  • Meta (Q2 2026 = 70.9%)
Hyperscaler Capex as % of Operating Cash FlowLine chart of Microsoft, Alphabet, Amazon, Meta, Q4 2023 to Q2 2026. Use the arrow keys to step through values.0%0%20%20%40%40%60%60%80%80%100%100%120%120%2023202420252026
Hyperscaler Capex as % of Operating Cash Flow (data)
DateMicrosoftAlphabetAmazonMeta
Q4 202334.3%31.7%62.1%39.5%
Q1 202435.9%35.5%53.9%36.3%
Q2 202437.5%42.1%55.2%38.1%
Q3 202440.5%46.9%61.9%39.0%
Q4 202444.2%41.9%71.6%42.9%
Q1 202546.9%43.5%81.7%48.1%
Q2 202547.4%50.1%88.9%53.5%
Q3 202546.9%51.4%91.9%60.3%
Q4 202551.8%55.5%94.5%62.4%
Q1 202657.1%63.0%101.7%63.2%
Q2 202663.4%71.3%107.2%70.9%

Source: Company 8-K filings; YRI calculations.

Big Four: Free Cash Flow

(operating cash flow less capex, MSFT+GOOGL+AMZN+META, billion dollars, T4Q)

Combined free cash flow is falling as capex accelerates

  • Combined FCF (T4Q)
Big Four: Free Cash FlowLine chart of Combined FCF (T4Q), Q4 2023 to Q2 2026. Use the arrow keys to step through values.$0$0$50$50$100$100$150$150$200$200$250$250$300$3002023202420252026$212$232$228$199$202$147
Big Four: Free Cash Flow (data)
DateCombined FCF (T4Q)
Q4 2023$212.2bn
Q1 2024$234.0bn
Q2 2024$231.8bn
Q3 2024$221.9bn
Q4 2024$227.8bn
Q1 2025$215.0bn
Q2 2025$199.4bn
Q3 2025$204.8bn
Q4 2025$202.0bn
Q1 2026$180.5bn
Q2 2026$146.5bn

Source: Company 8-K filings; YRI calculations.

Cloud Revenue Growth

(yearly percent change)

Demand is real: cloud growth accelerated through 2026

  • AWS (Q2 2026 = 36.8%)
  • Azure (reported) (Q2 2026 = 43%)
  • Google Cloud (Q2 2026 = 81.8%)
  • Oracle Cloud (Q2 2026 = 47.1%)
Cloud Revenue GrowthLine chart of AWS, Azure (reported), Google Cloud, Oracle Cloud, Q1 2024 to Q2 2026. Use the arrow keys to step through values.0%0%20%20%40%40%60%60%80%80%100%100%202420252026
Cloud Revenue Growth (data)
DateAWSAzure (reported)Google CloudOracle Cloud
Q1 202417.2%31%28.4%24.7%
Q2 202418.7%29%28.8%19.7%
Q3 202419.1%33%35%21.3%
Q4 202418.9%31%30.1%24.3%
Q1 202516.9%33%28.1%22.9%
Q2 202517.5%39%31.7%26.8%
Q3 202520.2%40%33.5%27.8%
Q4 202523.6%39%47.8%34.4%
Q1 202628.4%40%63.4%43.5%
Q2 202636.8%43%81.8%47.1%

Source: Company 8-K filings; YRI calculations. Azure growth as reported by Microsoft.

Residential Investment Share of GDP

(percent of nominal GDP)

The housing analog: investment share peaked at 6.7% in 2005, then halved

  • Residential investment, % of GDP
  • Recession
Residential Investment Share of GDPLine chart of Residential investment, % of GDP, Q1 1990 to Q4 2012. Use the arrow keys to step through values.0%0%1%1%2%2%3%3%4%4%5%5%6%6%7%7%19921995199820012004200720102013
Residential Investment Share of GDP (data)
DateResidential investment, % of GDP
Q1 19904.4%
Q2 19904.1%
Q3 19903.9%
Q4 19903.7%
Q1 19913.5%
Q2 19913.6%
Q3 19913.6%
Q4 19913.7%
Q1 19923.8%
Q2 19923.9%
Q3 19923.9%
Q4 19924.0%
Q1 19934.0%
Q2 19934.1%
Q3 19934.2%
Q4 19934.4%
Q1 19944.4%
Q2 19944.5%
Q3 19944.5%
Q4 19944.4%
Q1 19954.3%
Q2 19954.1%
Q3 19954.2%
Q4 19954.3%
Q1 19964.4%
Q2 19964.5%
Q3 19964.5%
Q4 19964.4%
Q1 19974.4%
Q2 19974.4%
Q3 19974.4%
Q4 19974.4%
Q1 19984.5%
Q2 19984.6%
Q3 19984.7%
Q4 19984.8%
Q1 19994.8%
Q2 19994.8%
Q3 19994.8%
Q4 19994.8%
Q1 20004.8%
Q2 20004.7%
Q3 20004.7%
Q4 20004.7%
Q1 20014.7%
Q2 20014.8%
Q3 20014.9%
Q4 20014.9%
Q1 20025.0%
Q2 20025.1%
Q3 20025.1%
Q4 20025.2%
Q1 20035.4%
Q2 20035.4%
Q3 20035.6%
Q4 20035.8%
Q1 20045.9%
Q2 20046.1%
Q3 20046.2%
Q4 20046.3%
Q1 20056.4%
Q2 20056.5%
Q3 20056.7%
Q4 20056.7%
Q1 20066.6%
Q2 20066.2%
Q3 20065.9%
Q4 20065.6%
Q1 20075.3%
Q2 20075.0%
Q3 20074.6%
Q4 20074.2%
Q1 20083.9%
Q2 20083.6%
Q3 20083.4%
Q4 20083.1%
Q1 20092.8%
Q2 20092.6%
Q3 20092.7%
Q4 20092.7%
Q1 20102.6%
Q2 20102.6%
Q3 20102.4%
Q4 20102.4%
Q1 20112.4%
Q2 20112.4%
Q3 20112.4%
Q4 20112.5%
Q1 20122.6%
Q2 20122.6%
Q3 20122.7%
Q4 20122.8%

Source: BEA via FRED A011RE1Q156NBEA.

Note: Shaded areas denote recessions according to the National Bureau of Economic Research.

US IPO Volume

(number of IPOs per year; first-day return in note)

Issuance is a fraction of 1999, though the pops are back

  • US IPOs (count)
US IPO VolumeGrouped bar chart of US IPOs (count), 1999 to 2025. Use the arrow keys to step through values.0010010020020030030040040050050060060047638073901999200020242025
US IPO Volume (data)
PeriodUS IPOs (count)
1999476
2000380
202473
202590

Source: Jay Ritter, IPO Statistics (Oct 2026).

Note: Mean first-day returns: 1999 71.2%; 2000 56.3%; 2024 15.3%; 2025 29.3%. Tech IPOs profitable: 14% (1999), 26% (2025).

What History Says

Findings from the academic and central-bank literature on which conditions matter.

Jordà, Schularick & Taylor (NBER 2015)

“What makes some bubbles more dangerous than others is credit.” Credit-financed bubbles are followed by deeper recessions and slower recoveries (17 countries, 140 years). Source

Greenwood, Shleifer & You (JFE 2019)

A 100% two-year industry price run-up raises the probability of a crash from a 14% baseline to 53%; issuance, volatility and acceleration are predictive. (Current run-up not scored: no verified series.) Source

Borio & Lowe (BIS 2002)

Sustained rapid credit growth combined with large asset-price increases raises the probability of financial instability; low inflation can mask the build-up. Source

Bernanke (2010)

The housing boom was “a feedback loop between optimism regarding house prices and developments in the mortgage market”; excessive leverage, rating conflicts and originate-to-distribute were the vulnerabilities. Source

Notes

Method

The page has two layers. The mechanical layer (dials and backtest) uses six economy-wide indicators with history to the 1950s and is scored by rule. The AI-specific layer is the ten-condition scorecard: ten conditions that preceded the 1999–2000 tech/telecom bust and the 2006–07 housing bust are each scored Low (0), Moderate (1) or High (2) against the latest verified data. Its items are tagged Condition or Trigger and averaged within each block rather than into one number, because the backtest shows an equal-weight composite in the 67–75 range was no more likely to precede a bust than any other quarter. Each score links to its evidence; the reader can disagree with any line and re-score it.

Change since mid-July 2026

The “Mid-July 2026” column re-scores each condition using only what was published by July 14, 2026: Q1 2026 company results, the Q1 Z.1 release, the Fed’s May Financial Stability Report, the June IPO filings, June margin debt, a 2-yr Treasury yield of 4.11% and a Fed funds rate of 3.63%. Two conditions were raised since then: Debt and financing structures (Moderate → High), on the vendor-backed chip-lease financings disclosed from September 10 onward, and Interest-rate tightening (Low → Moderate), on the further 54bp rise in the 2-yr yield to 4.65% and the September 16 rate hike. Within unchanged scores, the readings also worsened: Big-4 free cash flow fell from $181bn to $147bn, Amazon’s capex rose from 102% to 107% of operating cash flow, and the household equity share jumped from 44.7% to 48.2%. One condition improved without changing score: cloud growth accelerated and backlog rose from about $2.0tn to $2.35tn. The Debt line is a boundary call.

What this meter does not say

A high reading means the preconditions of past bubbles are present, not that a bust is imminent. In both prior episodes the trigger was a sustained rise in the cost of capital followed by evidence that capacity was outrunning demand. Those two indicators (Interest-rate tightening, Idle-capacity signals) are the ones to watch.

Credit spreads are not factored in. If bond investors demand more compensation for risk, wider spreads would raise borrowing costs and could moderate the credit risk the triggers dial tracks.

Not scored (could not be verified)

  • Two-year net-of-market price run-up for the AI sector (Greenwood–Shleifer–You test).
  • S&P 500 IT sector forward P/E (FactSet publishes it as a chart image; below 22.8 as of Oct 9).
  • Dollar value of 2000 margin debt; vendor-financing amounts at Lucent/Nortel/Cisco; subprime share of 2005–06 originations (FCIC figures not retrievable).

Sources

Federal Reserve Financial Stability Report (May 2026); IMF Global Financial Stability Report (Apr and Oct 2026); Bank of England FSR remarks (Jul 2026); Fed Z.1 and BEA via FRED; FINRA; S&P Dow Jones Indices; FactSet; Jay Ritter IPO statistics; FRBSF Economic Letters (2001, 2017) and Doms (2004); FDIC Bank Trends (2002); NY Fed Staff Report 458; NBER working papers; company filings; press reports where flagged. Prepared with AI assistance; figures were checked against the cited documents. Press-sourced items are marked.