FUTURE3.AI · CASSANDRA
AI-Cycle Risk Monitor · as of 2026-08-28
Conditions monitor · not a forecast

Cassandra

Is the AI build-out overheating? A transparent, real-data read of the AI / semiconductor cycle across value, fundamentals, supply chain and the macro / Fed backdrop — a composite, not a single trend line. High = stretched and fragile.

CALMHIGH
47.8
elevated
6 of 6 panels live · weights valuation 22% · fundamentals 18% · supplychain 14% · macro 22% · crowding 12% · adoption 12%
CAPE 42.27 — 99.4th percentile (richer only at the 2000 peak)Equity risk premium -2.29pp — equities priced below TreasuriesHY credit spreads 2.67% — 4.8th percentile (peak complacency)Market breadth at an extreme — equal-weight at the 2.8th percentile (narrowest in years)NVDA = 45.8% of the semis complex — single-name dominanceSemis fundamentals strong — PEG 0.91, margins +10.7pp (cushions valuation)Chinese models = 62.3% of OpenRouter token volume · 42.6% of calls
01 / VALUATION · BROAD MARKET
CAPE & risk premium
92.1/100
Cyclically-adjusted earnings — immune to single-year EPS, ranked vs 155 years. A negative risk premium means equities yield less than Treasuries.
Shiller CAPE42.27 · 99.4ᵖᶜᵗ
Equity risk premium-2.29pp vs 10y 4.66%
02 / FUNDAMENTALS · SEMICONDUCTORS
Earnings quality
8.9/100
The counterweight: do profits justify the price? PEG<1 = growth more than pays for the multiple; expanding margins cushion rich valuations. Low score = healthy.
Median PEG0.91
Operating margin Δ+10.7pp
Earnings growth128% YoY · ROE 40%
namefwd P/EPEGΔmgn
NVDA150.59+16.5
AMD30.91.03+19
AVGO19.10.4+9.5
TSM19.61+10.7
ASML28.82.08+2.4
SMCI7.20.91+2.9
MU60.14+57
03 / SUPPLY CHAIN · BUILD-OUT
Capex & GPU rents
11.9/100
MSFT · GOOGL · AMZN · META capex (the AI build-out) and H100 rental prices. A parabolic ramp builds capacity ahead of demand; depressed rents signal oversupply.
Hyperscaler capex$116B · -67.6% YoY
H100 rent$2.54/gpu-hr
04 / MACRO & FED
Liquidity & risk appetite
55.3/100
Is the cycle being fuelled or squeezed? Low VIX & tight spreads = complacency; an inverted curve and tightening conditions are what end build-outs. FRED + CBOE, decades deep.
VIX14.44 · 28.4ᵖᶜᵗ
HY credit spread2.67% · 4.8ᵖᶜᵗ
Yield curve 10y−2y+0.47
Financial conditions-0.57 · fed funds 3.63%
05 / CROWDING & POSITIONING
Breadth & concentration
97.8/100
How narrow is the trade? A low equal-weight / cap-weight ratio means a handful of mega-caps hold up the index — thin breadth, the "who's left to buy" fragility. Orthogonal to VIX.
Equal-wt / cap-wt0.2872 · 2.8ᵖᶜᵗ
Semis vs market0.6814 · 98.7ᵖᶜᵗ
NVDA share of complex45.8%
06 / AI DEMAND · CHINA vs US
OpenRouter call share
3.1/100
Real inference traffic through OpenRouter — Chinese-origin models (DeepSeek, Qwen, GLM, Kimi…) vs US/West (GPT, Claude, Gemini…). China 62.3% of token volume · 42.6% of calls · 2026-08-27.
China 62.3% tokensUS/West 37.7%
deepseek/deepseek-v4-flash-2022001.4B
xiaomi/mimo-v2.5-202604221921.6B
openai/gpt-5.6-luna-202607091449.3B
z-ai/glm-5.3-flash-202608261381.0B
tencent/hy3-202607061108.3B
TRACK RECORD · TODAY vs HISTORY
Where today sits
Today vs decades of market history
CAPE (Shiller, 1871→)42.27 · 99.4ᵖᶜᵗ
Equity risk premium-2.29pp · 13.8ᵖᶜᵗ
VIX14.44 · 28.4ᵖᶜᵗ
HY credit spread2.67% · 4.8ᵖᶜᵗ
Equal-wt / cap-wt (23y)0.2872 · 2.8ᵖᶜᵗ
Semis vs market0.6814 · 98.7ᵖᶜᵗ
Cassandra’s own daily record
034671002026-06-232026-08-28

Tracked since 2026-06-23 · 67 days · today 47.8 (elevated) · range 46.8–79.2 · mid-range

categorytodaytrajectoryΔ since start
Valuation92.1+1.3
Fundamentals8.9-6.1
Supply chain11.9-59.7
Macro & Fed55.3+3.6
Crowding97.8-1.2
AI demand3.1+3.1

What this is — and what it isn't

Cassandra is a transparent conditions monitor, not a crash predictor. It blends six real-data categories — valuation (Shiller CAPE & the Fed-model risk premium), fundamentals (semis margins, growth, PEG), supply chain (hyperscaler capex & GPU rents), macro / Fed (VIX, credit spreads, the yield curve, financial conditions), crowding (equal- vs cap-weight breadth, semis concentration) and AI demand — into one gauge. Each sub-score is ranked against real history or scored by a transparent, documented rule; weights are a judgement (valuation 22% · fundamentals 18% · supplychain 14% · macro 22% · crowding 12% · adoption 12%), not fitted. A category without enough data is shown as "building history" and excluded — never given a fabricated score.

AI-demand caveat: the China-vs-US panel is the OpenRouter daily call/token share — real inference traffic, by model origin (Chinese labs vs US/West), through one major router. It is a true usage cross-section but not all inference: it excludes first-party API traffic (direct OpenAI, Anthropic, Google) and self-hosted deployments. CAPE is a broad-market GAAP measure; the semis fundamentals are current snapshots with a multi-quarter margin trend.