🧠 Technology & AI risk-off · 1–3 years
A what‑if from the future

What if AI agents cannibalize seat-based SaaS, software de-rates?

Agentic automation reduces the human seats software is priced on, undermining per-seat SaaS economics and forcing painful pricing-model transitions that de-rate the group.

26%
our model probability
over 1–3 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 26% · 90% range 8–44% · 34 analogues · measured class tech_ai_bull 57% in 3 yr · 3% held back for the unknown
how we built this number — every step
Measured class rate — tech_ai_bull ≈0.2842/yr → 57% in 3 yr57%
Analyst prior · editorial share 45% of the class26%
Pooled · weight 85%27%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)27%
Published26%

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.

loading the timeline…

What it would mean

If this plays out, it is a risk-off shock. Agentic automation reduces the human seats software is priced on, undermining per-seat SaaS economics and forcing painful pricing-model transitions that de-rate the group. The trigger decomposes into signed root‑shocks — Volatility (VIX) ▲ · AI breakthrough ▲ · Growth surprise ▼ · Risk appetite ▼ — 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.

MarketClassProjected move
1Nvidia NVDAon Hyperliquid 📈 chartEquity▲ +0.9%
hist -1.73–+5.18% · other way +5.21% (n=12)
2Solana SOLon Hyperliquid 📈 chartCrypto▼ -0.5%
hist -15.81–+1.29% · other way +24.73% (n=6)
3Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +0.4%
hist -0.45–+1.63% · other way +3.33% (n=11)
4Volatility (VIX) VIXon Hyperliquid 📈 chartVol▲ +0.4%
hist -4.16–+1.98% · other way -2.4% (n=12)
5Hyperliquid (HYPE) HYPEon HyperliquidCrypto▼ -0.4%
model prior · unmeasured
6MicroStrategy MSTRon Hyperliquid 📈 chartEquity▼ -0.4%
hist -3.04–+6.77% · other way +6.61% (n=12)
7Ether ETHon Hyperliquid 📈 chartCrypto▼ -0.3%
hist -3.37–+1.46% · other way +11.62% (n=7)
8AMD AMDon Hyperliquid 📈 chartEquity▲ +0.3%
hist -0.52–+1.51% · other way +11.45% (n=12)
9Broadcom AVGOon Hyperliquid 📈 chartEquity▲ +0.3%
hist -0.73–+2.92% · other way -0.58% (n=7)
10Micron MUon Hyperliquid 📈 chartEquity▲ +0.3%
hist -1.43–+0.85% · other way +5.9% (n=12)
11TSMC TSMon Hyperliquid 📈 chartEquity▲ +0.3%
hist -0.16–+0.8% · other way +2.75% (n=12)
12Marvell MRVLon Hyperliquid 📈 chartEquity▲ +0.3%
hist -1.4–+3.37% · other way -0.94% (n=11)
13Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +0.3%
hist -0.33–+1.17% · other way -2.33% (n=12)
14ASML ASMLon Hyperliquid 📈 chartEquity▲ +0.3%
hist -0.24–+0.88% · other way +3.83% (n=12)

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
Cash / hedgeRaise cash and hold the long hedges above; this scenario is net risk-off.
For a common-man portfolio: A typical stock-heavy portfolio is at risk. Consider trimming equities, raising cash, and a small cash hedge.
Also moves (not yet on Hyperliquid): Tech sector +0.2%

Historical precedent — what analogous events actually did

Across 34 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.

Neuralink implants its first human brain-computer interface 2024-01 OpenAI releases GPT-4 2023-03 ChatGPT launches 2022-11 AlphaFold cracks the protein-folding problem 2020-11 AlphaGo defeats Lee Sedol 2016-03 China-led global 'Black Monday' rout 2015-08 Israel strikes Iran — Operation Rising Lion 2025-06 TSMC slumps as DeepSeek roils AI-chip demand assumptions 2025-02 Nikkei 225 record single-day rebound 2024-08 VIX third-highest spike on record 2024-08 Megacap AI-capex doubt selloff 2024-07 LK-99 room-temperature superconductor claim 2023-07 Nvidia AI-guidance blowout ignites the automation/AI capex wave 2023-05 TSMC cuts 2023 capex on chip-demand downturn 2023-01 Evergrande debt crisis - global selloff 2021-09 Wegovy 2021-06 First mRNA COVID-19 vaccine authorized 2020-12 COVID-19 fourth circuit breaker 2020-03 COVID-19 second Level-1 circuit breaker 2020-03 Worst Christmas Eve selloff on record 2018-12 He Jiankui announces CRISPR-edited babies 2018-11 February 2018 hot wage print triggers rate scare 2018-02 North Korea 'fire and fury' nuclear scare 2017-08 SpaceX lands an orbital rocket booster 2015-12 SEC approves Limit Up-Limit Down plan and revised market-wide circuit breakers 2012-05 US-downgrade Black Monday equity rout and VIX spike to 48 2011-08 Egyptian revolution / Mubarak uprising 2011-01 Greek sovereign debt crisis / first EU-IMF bailout 2010-05 VIX record intraday high of 89.53 2008-10 2008 global rice crisis: Thai benchmark tops $1,000/ton 2008-04 Shanghai Sneeze global selloff with then-record VIX spike 2007-02 Fed surprise inter-meeting cut 2001-01 Soviet August coup attempt against Gorbachev 1991-08 Cuban Missile Crisis 1962-10
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
SOL SOLSHORT-12.4% · 5d -4.7%94%15 0.60✓ matches cascade
Bitcoin BTCLONG+5.3% · 5d -2.5% ↺ fades65%24 0.26⚠ differs
QCOM QCOMSHORT-2.4% · 5d -1.7%69%32 0.25⚠ differs
AVGO AVGOLONG+2.5% · 5d -1.3% ↺ fades63%28 0.23✓ matches cascade
Gold XAULONG+1.0% · 5d -0.1% ↺ fades60%32 0.17·
INTC INTCSHORT-0.6% · 5d -0.4%58%33 0.14⚠ differs
MSTR MSTRLONG+6.7% · 5d -1.0% ↺ fades56%32 0.10⚠ differs
Volatility VIXSHORT-4.2% · 5d +1.6% ↺ fades56%33 0.09⚠ differs
NDX NDXLONG+1.0% · 5d -0.1% ↺ fades56%33 0.09✓ matches cascade
US dollar DXYSHORT-0.1% · 5d +0.1% ↺ fades56%33 0.09·
NVDA NVDALONG+4.5% · 5d +1.2%54%32 0.07✓ matches cascade
SMH SMHLONG+1.3% · 5d +0.7%54%32 0.07✓ matches cascade
MU MUSHORT-1.6% · 5d -0.3%54%33 0.06⚠ differs
MRVL MRVLLONG+3.1% · 5d +0.5%51%32 0.02✓ matches cascade

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Crowd odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-07-03.