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

What if Photonic/optical compute startup leapfrogs GPU economics?

An optical-compute entrant demonstrates order-of-magnitude better energy efficiency for inference, threatening the incumbent GPU economics and the capex thesis built on them.

19%
our model probability
over 1–3 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 19% · 90% range 0–37% · 26 analogues · measured class supply_chain 46% in 3 yr · 3% held back for the unknown
how we built this number — every step
Measured class rate — supply_chain ≈0.2052/yr → 46% in 3 yr46%
Analyst prior · editorial share 39% of the class18%
Pooled · weight 81%19%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)19%
Published19%

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-on shock. An optical-compute entrant demonstrates order-of-magnitude better energy efficiency for inference, threatening the incumbent GPU economics and the capex thesis built on them. The trigger decomposes into signed root‑shocks — AI breakthrough ▲ · AI capex ▼ · Risk appetite ▲ · Semiconductor supply risk ▲ — 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
1Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +1.1%
hist +0.13–+0.59%
2Tech sector XLK 📈 chartEquity▲ +0.7%
hist +0.09–+0.35%
3Nvidia NVDAon Hyperliquid 📈 chartEquity▲ +0.5%
hist -0.42–+1.5%
4Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +0.5%
hist +0.12–+0.28%
5Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.5%
hist -19.76–-1.25%
6MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.5%
hist -4.62–+11.34%
7Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.4%
model prior · unmeasured
8Ether ETHon Hyperliquid 📈 chartCrypto▲ +0.3%
hist -3.6–+2.06%
9S&P 500 SPXon Hyperliquid 📈 chartIndex▲ +0.3%
hist -0.58–+0.51%
10Bitcoin BTCon Hyperliquid 📈 chartCrypto▲ +0.3%
hist -0.71–+1.75%
11AMD AMDon Hyperliquid 📈 chartEquity▲ +0.2%
hist -1.99–+0.62%
12Marvell MRVLon Hyperliquid 📈 chartEquity▲ +0.2%
hist -0.26–+0.83%
13Volatility (VIX) VIXon Hyperliquid 📈 chartVol▼ -0.2%
hist -0.22–+0.11%
14Qualcomm QCOMon Hyperliquid 📈 chartEquity▲ +0.2%
hist -3.07–+0.84%

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 +0.7%

Historical precedent — what analogous events actually did

Across 26 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 CHIPS and Science Act signed 2022-07 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-13.9% · 5d -7.0%95%19 0.62⚠ differs
US dollar DXYSHORT-0.3% · 5d -0.1%67%25 0.27·
QCOM QCOMSHORT-2.8% · 5d -2.8%67%24 0.25⚠ differs
Gold XAULONG+0.6% · 5d -0.2% ↺ fades65%24 0.25·
XLK XLKSHORT-0.1% · 5d -0.4%65%24 0.23⚠ differs
AMD AMDSHORT-1.9% · 5d -1.8%67%25 0.23⚠ differs
NDX NDXSHORT-0.2% · 5d -0.8%60%25 0.13⚠ differs
MSTR MSTRLONG+10.6% · 5d +1.4%55%24 0.09✓ matches cascade
SMH SMHSHORT-0.1% · 5d -0.4%55%24 0.07⚠ differs
High-yield credit HYGLONG+0.1% · 5d -0.0% ↺ fades55%24 0.07·
10y yield DGS10SHORT-3bp · 5d -1bp53%25 0.04·
NVDA NVDALONG+1.2% · 5d -1.0% ↺ fades45%24 0.00✓ matches cascade
ETH ETHSHORT-3.8% · 5d -4.9%50%21 0.00⚠ differs
SPX SPXSHORT-0.8% · 5d +0.5% ↺ fades42%25 0.00⚠ differs

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.