🧠 Technology & AI risk-on · 6–18 months
A what‑if from the future

What if Reasoning-model compute appetite drives an inference up-cycle?

Test-time 'reasoning' models consume far more inference compute per query, structurally lifting accelerator demand and validating continued datacenter capex.

28%
our model probability
over 6–18 months
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 28% · 90% range 0–55% · 10 analogues · measured class tech_ai_bull 35% in 18 mo · 3% held back for the unknown
how we built this number — every step
Measured class rate — tech_ai_bull ≈0.2842/yr → 35% in 18 mo35%
Analyst prior · editorial share 100% of the class60%
Pooled · weight 62%29%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)29%
Published28%

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 6–18 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. Test-time 'reasoning' models consume far more inference compute per query, structurally lifting accelerator demand and validating continued datacenter capex. 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▲ +2.7%
hist -1.41–+5.81% · other way -2.1% (n=12)
2Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +1.6%
hist +0.43–+2.09% · other way +0.84% (n=12)
3Broadcom AVGOon Hyperliquid 📈 chartEquity▲ +1.6%
hist +0.2–+2.0% · other way +3.97% (n=12)
4Micron MUon Hyperliquid 📈 chartEquity▲ +1.5%
hist -3.34–+4.29% · other way -1.48% (n=12)
5Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +1.3%
hist +0.56–+1.16% · other way +0.08% (n=12)
6AMD AMDon Hyperliquid 📈 chartEquity▲ +1.1%
hist -2.36–+2.38% · other way +2.56% (n=12)
7TSMC TSMon Hyperliquid 📈 chartEquity▲ +1.1%
hist +0.35–+1.34% · other way +0.61% (n=12)
8Marvell MRVLon Hyperliquid 📈 chartEquity▲ +1.1%
hist +0.37–+0.89% · other way +2.77% (n=12)
9Tech sector XLK 📈 chartEquity▲ +0.9%
hist +0.26–+1.12% · other way +0.17% (n=12)
10ASML ASMLon Hyperliquid 📈 chartEquity▲ +0.9%
hist +0.33–+1.03% · other way -1.89% (n=12)
11Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.8%
hist -19.98–+5.98% · other way -12.47% (n=10)
12MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.9%
hist -9.34–+17.61% · other way +7.83% (n=12)
13Qualcomm QCOMon Hyperliquid 📈 chartEquity▲ +0.7%
hist -1.94–+1.66% · other way -0.61% (n=12)
14Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.7%
model prior · unmeasured

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 +0.9% · High-yield credit +0.2%

Historical precedent — what analogous events actually did

Across 10 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 LK-99 room-temperature superconductor claim 2023-07 Nvidia AI-guidance blowout ignites the automation/AI capex wave 2023-05 Wegovy 2021-06 First mRNA COVID-19 vaccine authorized 2020-12 SpaceX lands an orbital rocket booster 2015-12
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
SOL SOLSHORT-18.1% · 5d -9.2%100%8 0.67⚠ differs
MSTR MSTRLONG+17.2% · 5d +1.2%72%10 0.40✓ matches cascade
SPX SPXLONG+0.7% · 5d +1.3%72%10 0.38✓ matches cascade
Bitcoin BTCLONG+7.7% · 5d -3.2% ↺ fades72%10 0.37✓ matches cascade
US dollar DXYSHORT-0.6% · 5d -0.6%72%10 0.33·
QCOM QCOMSHORT-2.5% · 5d -1.0%76%10 0.31⚠ differs
INTC INTCSHORT-1.6% · 5d +0.4% ↺ fades72%10 0.31⚠ differs
AMD AMDSHORT-3.2% · 5d +1.2% ↺ fades72%10 0.27⚠ differs
MRVL MRVLSHORT-0.1% · 5d -0.0%68%10 0.25⚠ differs
ETH ETHLONG+0.8% · 5d -4.3% ↺ fades65%8 0.22✓ matches cascade
AVGO AVGOLONG+0.8% · 5d -0.6% ↺ fades64%10 0.21✓ matches cascade
NVDA NVDALONG+3.9% · 5d +1.0%60%10 0.15✓ matches cascade
MU MUSHORT-4.6% · 5d -1.9%60%10 0.14⚠ differs
Volatility VIXSHORT-2.1% · 5d -5.8%60%10 0.14✓ 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.