🧠 Technology & AI risk-on · 0–6 months
A what‑if from the future

What if Open-weight model matches frontier?

An open-weight model reaches near-frontier capability, collapsing inference prices and diffusing advanced AI to every enterprise and developer.

12%
our model probability
over 0–6 months
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 12% · 90% range 0–26% · 25 analogues · measured class tech_ai_bull 13% in 6 mo · 3% held back for the unknown
how we built this number — every step
Measured class rate — tech_ai_bull ≈0.2842/yr → 13% in 6 mo13%
Analyst prior · editorial share 100% of the class40%
Pooled · weight 81%12%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)12%
Published12%

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 0–6 months 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-on shock. An open-weight model reaches near-frontier capability, collapsing inference prices and diffusing advanced AI to every enterprise and developer. The trigger decomposes into signed root‑shocks — AI breakthrough ▲ · AI capex ▼ · 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▲ +1.8%
hist -0.17–+2.82%
2Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +1.6%
hist +0.38–+0.93%
3Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +1.4%
hist +0.41–+1.04%
4Tech sector XLK 📈 chartEquity▲ +1.1%
hist +0.24–+0.55%
5AMD AMDon Hyperliquid 📈 chartEquity▲ +0.9%
hist -1.62–+0.8%
6TSMC TSMon Hyperliquid 📈 chartEquity▲ +0.9%
hist -0.14–+0.57%
7Marvell MRVLon Hyperliquid 📈 chartEquity▲ +0.9%
hist -0.19–+1.55%
8Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.8%
hist -19.62–-0.53%
9Micron MUon Hyperliquid 📈 chartEquity▲ +0.7%
hist -2.12–+1.19%
10Broadcom AVGOon Hyperliquid 📈 chartEquity▲ +0.7%
hist +0.04–+0.88%
11ASML ASMLon Hyperliquid 📈 chartEquity▲ +0.7%
hist -0.85–+0.71%
12Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.7%
model prior · unmeasured
13MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.7%
hist -4.46–+12.2%
14Ether ETHon Hyperliquid 📈 chartCrypto▲ +0.6%
hist -4.05–+2.3%

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
For a common-man portfolio: A typical stock-heavy portfolio should benefit. Stay invested; you can lean modestly into the beneficiaries below.
Also moves (not yet on Hyperliquid): Tech sector +1.1% · High-yield credit +0.2%

Historical precedent — what analogous events actually did

Across 25 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.

TSMC slumps as DeepSeek roils AI-chip demand assumptions 2025-02 Megacap AI-capex doubt selloff 2024-07 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 Micron's weak FQ2 guidance sparks a sharp December selloff 2024-12 ASML bookings-miss crash 2024-10 Nikkei 225 record single-day rebound 2024-08 Trump 'Taiwan should pay for defense' chip selloff 2024-07 Nikkei 225 surpasses its 1989 bubble peak 2024-02 LK-99 room-temperature superconductor claim 2023-07 Nvidia AI-guidance blowout ignites the automation/AI capex wave 2023-05 Netflix subscriber-loss crash 2022-04 Meta 2022-02 Didi removed from China app stores after NYSE IPO 2021-07 Wegovy 2021-06 First mRNA COVID-19 vaccine authorized 2020-12 He Jiankui announces CRISPR-edited babies 2018-11 Nvidia crypto-glut guidance crash 2018-11 SpaceX lands an orbital rocket booster 2015-12 2008 global rice crisis: Thai benchmark tops $1,000/ton 2008-04 Soviet August coup attempt against Gorbachev 1991-08 Cuban Missile Crisis 1962-10
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
SOL SOLSHORT-14.3% · 5d -6.7%95%18 0.62⚠ differs
US dollar DXYSHORT-0.4% · 5d -0.1%69%24 0.31·
QCOM QCOMSHORT-2.4% · 5d -2.6%66%23 0.23⚠ differs
Gold XAULONG+0.6% · 5d -0.2% ↺ fades64%23 0.23·
XLK XLKSHORT-0.1% · 5d -0.4%64%23 0.21⚠ differs
AMD AMDSHORT-1.8% · 5d -1.8%65%24 0.21⚠ differs
MSTR MSTRLONG+11.2% · 5d +1.1%57%23 0.13✓ matches cascade
TSM TSMSHORT-0.5% · 5d -1.6%58%23 0.12⚠ differs
MU MUSHORT-2.3% · 5d -2.6%58%24 0.12⚠ differs
ASML ASMLSHORT-1.2% · 5d -2.4%58%23 0.12⚠ differs
INTC INTCSHORT-3.1% · 5d -1.3%56%24 0.12⚠ differs
NDX NDXSHORT-0.2% · 5d -0.8%58%24 0.11⚠ differs
High-yield credit HYGLONG+0.2% · 5d -0.0% ↺ fades57%23 0.09✓ matches cascade
10y yield DGS10SHORT-5bp · 5d -1bp55%24 0.07·

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.