What if a coordinated AI-driven layoff wave cuts a million white-collar jobs?
One million coordinated AI-driven white-collar cuts is a genuine macro shock: jobless-claims spike and consumption fear drive credit spreads wide, banks lead lower, and high-beta crypto (Solana, HYPE) is the cleanest short. Rhymes with the Aug-2024 Sahm-rule growth scare that gapped VIX and crypto down hard. Forward angle: unlike past goods-recessions, a services/white-collar shock hits prime-age high-earners — faster spending pullback, slower policy response.
how we built this number — every step
The class rate is measured from our dated, sourced event library (decade-normalized Poisson — the full table is public at base_rates.json). The variant’s share within its class is the analyst’s editorial call, published so you can audit it. A wider range means thinner precedent. Full recipe: methodology · scored at Reality Check.
The butterfly cascade
How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.
Resolution timeline — how this probability is moving
Our model's odds (gold) over time vs the crowd's (Polymarket, blue), from the past toward the 1–3 years horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. The gold path is an illustrative reconstruction anchored to today's estimate — real dated events, not a live re-estimate history.
What it would mean
If this plays out, it is a risk-off shock. Fortune 500 firms announce 1 million coordinated white-collar cuts tied to AI agents, spiking jobless claims and consumer-spending fears. The trigger decomposes into signed root‑shocks — Job displacement ▲ · Recession signal ▲ — which propagate through our causal graph to the markets below.
If it happens — the markets it would move
Biggest moves first. Projected moves are cascade-model priors; hist A–B% = what comparable past events actually did (measured abnormal returns), and model prior · unmeasured marks markets with no analogue backing yet. Tap any market for its price history.
| Market | Class | Projected move | |
|---|---|---|---|
| 1 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -1.0% hist -11.83–+1.27% · other way -1.54% (n=12) |
| 2 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -1.1% hist -4.86–+12.18% · other way +21.92% (n=12) |
| 3 | Nasdaq 100 NDXon Hyperliquid 📈 chart | Index | ▼ -0.9% hist -0.64–-0.15% · other way -0.13% (n=12) |
| 4 | S&P 500 SPXon Hyperliquid 📈 chart | Index | ▼ -0.8% hist -0.34–+0.76% · other way +0.47% (n=12) |
| 5 | Financials XLF 📈 chart | Equity | ▼ -0.7% hist -0.41–-0.21% · other way -0.05% (n=12) |
| 6 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -0.8% model prior · unmeasured |
| 7 | Volatility (VIX) VIXon Hyperliquid 📈 chart | Vol | ▲ +0.7% hist -0.23–+1.56% · other way +2.3% (n=12) |
| 8 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -0.7% hist -6.86–+1.72% · other way +2.81% (n=12) |
| 9 | High-yield credit HYG 📈 chart | Rate | ▼ -0.7% hist -0.58–-0.12% · other way -0.38% (n=12) |
| 10 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -0.6% hist -0.64–-0.08% · other way +4.82% (n=12) |
| 11 | Tech sector XLK 📈 chart | Equity | ▼ -0.6% hist -0.53–+0.09% · other way +0.04% (n=12) |
| 12 | JPMorgan JPM 📈 chart | Equity | ▼ -0.4% hist -0.47–+1.67% · other way +2.34% (n=12) |
| 13 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▼ -0.4% hist -0.65–+0.96% · other way +1.8% (n=12) |
| 14 | Coinbase COINon Hyperliquid 📈 chart | Equity | ▼ -0.4% hist -2.36–+4.14% · other way +16.32% (n=12) |
Probable recommendation
Why we may diverge from history
Trust the cascade SHORT on AMD/SMH/TSM: the +4-10% history is a stale, thin crash-snapback artifact — 1982, 2008 Lehman, 2020 COVID plus a 2025 gold squeeze, none comparable to an AI-layoff demand shock.
Historical precedent — what analogous events actually did
Across 40 analogous events (overlap‑weighted), as abnormal returns — market beta stripped, so it's the event's own effect, not the market backdrop. Shown at 20 days (persistent) and 5 days (immediate); ↺ fades = the two horizons disagree. Confidence = consistency × sample × significance.
| Asset | History says | Abnormal (20d · 5d) | Hit | n | Confidence | vs cascade |
|---|---|---|---|---|---|---|
| SOL SOL | SHORT | -9.3% · 5d -4.9% | 76% | 37 | 0.38 | ✓ matches cascade |
| SPX SPX | LONG | +0.9% · 5d -0.3% ↺ fades | 72% | 40 | 0.37 | ⚠ differs |
| MU MU | SHORT | -4.8% · 5d -3.2% | 73% | 39 | 0.34 | ✓ matches cascade |
| CL CL | SHORT | -2.3% · 5d -1.3% | 73% | 39 | 0.33 | ✓ matches cascade |
| JPM JPM | LONG | +1.6% · 5d -0.1% ↺ fades | 70% | 40 | 0.32 | ⚠ differs |
| ETH ETH | SHORT | -5.9% · 5d -3.8% | 64% | 37 | 0.22 | ✓ matches cascade |
| Gold XAU | LONG | +1.2% · 5d -0.2% ↺ fades | 64% | 39 | 0.21 | · |
| MSTR MSTR | LONG | +11.8% · 5d +1.1% | 59% | 39 | 0.18 | ⚠ differs |
| High-yield credit HYG | SHORT | -0.2% · 5d +0.1% ↺ fades | 61% | 39 | 0.17 | ✓ matches cascade |
| ASML ASML | SHORT | -4.0% · 5d -1.7% | 61% | 39 | 0.17 | ✓ matches cascade |
| TSM TSM | LONG | +1.8% · 5d +1.2% | 59% | 39 | 0.15 | ⚠ differs |
| US dollar DXY | SHORT | -0.1% · 5d +0.1% ↺ fades | 59% | 40 | 0.15 | · |
| Volatility VIX | LONG | +1.1% · 5d +0.4% | 57% | 39 | 0.11 | ✓ matches cascade |
| 10y yield DGS10 | LONG | +4bp · 5d +2bp | 57% | 40 | 0.11 | · |
Why this probability
Coordinated 1M white-collar cuts explicitly AI-tied is a rare mass-shock; diffuse not coordinated. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.