What if AI agents collapse white-collar office employment?
White-collar AI-agent displacement is bullish the enabling stack (Nvidia, Broadcom custom silicon, Micron HBM) but a demand drag: consumer spend and credit deteriorate as office employment falls. No clean analogue; the capex leg rhymes with the 2023 AI rerating, the demand leg is the novel risk. Forward angle: this hits services-CPI and shifts the labor-share-of-income lower, a disinflationary-but-deflationary-demand mix that argues for long duration and bifurcated equities — semis up, consumer-cyclicals down.
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. AI agents replace large swaths of white-collar knowledge work, collapsing office employment. The trigger decomposes into signed root‑shocks — Job displacement ▲ · AI capex ▲ — 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 | Nvidia NVDAon Hyperliquid 📈 chart | Equity | ▲ +0.6% hist -1.71–+4.22% · other way -3.19% (n=12) |
| 2 | S&P 500 SPXon Hyperliquid 📈 chart | Index | ▼ -0.5% hist -0.33–+1.77% · other way -1.13% (n=12) |
| 3 | Broadcom AVGOon Hyperliquid 📈 chart | Equity | ▲ +0.4% hist -0.5–+1.85% · other way -0.43% (n=12) |
| 4 | Nasdaq 100 NDXon Hyperliquid 📈 chart | Index | ▼ -0.5% hist -0.55–-0.04% · other way -1.07% (n=12) |
| 5 | Micron MUon Hyperliquid 📈 chart | Equity | ▲ +0.4% hist -7.26–+2.0% · other way +0.87% (n=12) |
| 6 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -0.5% hist -8.28–+21.77% · other way +11.68% (n=12) |
| 7 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -0.4% hist -16.07–+0.71% · other way +5.03% (n=12) |
| 8 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -0.3% model prior · unmeasured |
| 9 | Volatility (VIX) VIXon Hyperliquid 📈 chart | Vol | ▲ +0.3% hist -0.06–+0.55% · other way +0.67% (n=12) |
| 10 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -0.3% hist -1.84–+0.67% · other way +2.67% (n=12) |
| 11 | Tech sector XLK 📈 chart | Equity | ▼ -0.3% hist -0.37–-0.03% · other way -0.7% (n=12) |
| 12 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -0.3% hist -1.63–+2.87% · other way +2.39% (n=12) |
| 13 | High-yield credit HYG 📈 chart | Rate | ▼ -0.3% hist -0.69–+0.09% · other way +0.09% (n=12) |
| 14 | Financials XLF 📈 chart | Equity | ▼ -0.2% hist -0.37–+0.05% · other way +2.29% (n=12) |
Probable recommendation
Why we may diverge from history
Trust history long on SPX: +1.5% at 0.77 hit rate is clean and on-channel — AI-capex and bull-market windows show the index climbs through automation shocks; the cascade's broad short over-reaches on white-collar displacement.
Historical precedent — what analogous events actually did
Across 24 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 | -12.3% · 5d -6.4% | 85% | 19 | 0.51 | ✓ matches cascade |
| SPX SPX | LONG | +1.6% · 5d +0.4% | 76% | 24 | 0.41 | ⚠ differs |
| Gold XAU | LONG | +1.8% · 5d +0.1% | 71% | 23 | 0.34 | · |
| MU MU | SHORT | -6.5% · 5d -4.2% | 67% | 23 | 0.26 | ⚠ differs |
| XLK XLK | SHORT | -0.2% · 5d -0.4% | 67% | 23 | 0.24 | ✓ matches cascade |
| US dollar DXY | SHORT | -0.4% · 5d -0.3% | 64% | 24 | 0.23 | · |
| High-yield credit HYG | SHORT | -0.5% · 5d -0.0% | 65% | 22 | 0.22 | ✓ matches cascade |
| MSTR MSTR | LONG | +20.5% · 5d +2.7% | 58% | 23 | 0.16 | ⚠ differs |
| 10y yield DGS10 | LONG | +8bp · 5d +0bp | 60% | 24 | 0.16 | · |
| AVGO AVGO | LONG | +1.5% · 5d -1.2% ↺ fades | 57% | 22 | 0.12 | ✓ matches cascade |
| NDX NDX | SHORT | -0.3% · 5d -0.8% | 54% | 23 | 0.06 | ✓ matches cascade |
| Volatility VIX | LONG | +0.4% · 5d -2.4% ↺ fades | 54% | 23 | 0.06 | ✓ matches cascade |
| XLF XLF | SHORT | -0.2% · 5d -0.7% | 54% | 23 | 0.06 | ✓ matches cascade |
| ETH ETH | SHORT | -1.6% · 5d -2.9% | 52% | 20 | 0.04 | ✓ matches cascade |
Why this probability
AI agents displacing white-collar work underway but full office-employment collapse within 3yr overstated. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.