🌍 Society & Frontier risk-on · 3–10 years
A what‑if from the future

What if AI diagnostics beat doctors?

AI matches or exceeds specialists in imaging, pathology and triage, reshaping healthcare labor and dramatically widening access to diagnosis.

33%
our model probability
over 3–10 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 33% · 90% range 9–57% · 15 analogues · measured class health 84% in 10 yr · 3% held back for the unknown
how we built this number — every step
Measured class rate — health ≈0.1843/yr → 84% in 10 yr84%
Analyst prior · editorial share 30% of the class25%
Pooled · weight 71%34%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)34%
Published33%

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 3–10 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. AI matches or exceeds specialists in imaging, pathology and triage, reshaping healthcare labor and dramatically widening access to diagnosis. The trigger decomposes into signed root‑shocks — AI breakthrough ▲ · Job displacement ▲ · Biotech breakthrough ▲ — 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▲ +1.7%
hist -1.98–+5.44% · other way -2.1% (n=12)
2Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +1.2%
hist +0.45–+1.03% · other way +0.08% (n=12)
3Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +1.2%
hist +0.04–+1.63% · other way +0.84% (n=12)
4Tech sector XLK 📈 chartEquity▲ +0.9%
hist -0.02–+1.28% · other way +0.17% (n=12)
5AMD AMDon Hyperliquid 📈 chartEquity▲ +0.8%
hist -2.75–+1.8% · other way +2.56% (n=12)
6Broadcom AVGOon Hyperliquid 📈 chartEquity▲ +0.8%
hist -0.52–+2.07% · other way +3.97% (n=12)
7Micron MUon Hyperliquid 📈 chartEquity▲ +0.8%
hist -3.1–+2.89% · other way -1.48% (n=12)
8TSMC TSMon Hyperliquid 📈 chartEquity▲ +0.8%
hist -0.25–+1.45% · other way +0.61% (n=12)
9Marvell MRVLon Hyperliquid 📈 chartEquity▲ +0.8%
hist -0.77–+2.19% · other way +2.77% (n=12)
10ASML ASMLon Hyperliquid 📈 chartEquity▲ +0.6%
hist -0.03–+0.92% · other way -1.89% (n=12)
11Qualcomm QCOMon Hyperliquid 📈 chartEquity▲ +0.5%
hist -2.79–+1.34% · other way -0.61% (n=12)
12S&P 500 SPXon Hyperliquid 📈 chartIndex▲ +0.4%
hist -0.3–+1.36% · other way -3.71% (n=12)
13Intel INTCon Hyperliquid 📈 chartEquity▲ +0.4%
hist -0.08–+0.37% · other way -2.17% (n=12)
14Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.3%
hist -14.91–+5.04% · other way -12.47% (n=10)

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
Short
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%

Historical precedent — what analogous events actually did

Across 15 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.

Wegovy 2021-06 First mRNA COVID-19 vaccine authorized 2020-12 AlphaFold cracks the protein-folding problem 2020-11 Neuralink implants its first human brain-computer interface 2024-01 Casgevy — first CRISPR gene-editing medicine approved 2023-12 mRNA pioneers win the Nobel 2023-10 Nvidia AI-guidance blowout ignites the automation/AI capex wave 2023-05 OpenAI releases GPT-4 2023-03 ChatGPT launches 2022-11 First genetically-modified pig-to-human heart transplant 2022-01 AlphaGo defeats Lee Sedol 2016-03 Human Genome Project completed 2003-04 LK-99 room-temperature superconductor claim 2023-07 Strong May 2023 jobs report jolts yields higher 2023-06 SpaceX lands an orbital rocket booster 2015-12
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
SOL SOLSHORT-13.7% · 5d -10.2%84%12 0.52⚠ differs
SPX SPXLONG+1.1% · 5d +1.3%71%15 0.38✓ matches cascade
US dollar DXYSHORT-0.8% · 5d -0.7%73%15 0.36·
QCOM QCOMSHORT-2.9% · 5d -1.3%73%15 0.29⚠ differs
MSTR MSTRLONG+13.7% · 5d +0.1%64%15 0.27✓ matches cascade
AVGO AVGOLONG+1.6% · 5d -0.1% ↺ fades67%14 0.26✓ matches cascade
AMD AMDSHORT-3.1% · 5d +0.9% ↺ fades67%15 0.22⚠ differs
Bitcoin BTCLONG+5.8% · 5d -4.5% ↺ fades62%14 0.21✓ matches cascade
High-yield credit HYGSHORT-0.3% · 5d -0.3%67%14 0.20·
INTC INTCSHORT-0.3% · 5d +0.9% ↺ fades62%15 0.18⚠ differs
10y yield DGS10LONG+5bp · 5d -2bp ↺ fades60%15 0.14·
ETH ETHSHORT-3.2% · 5d -6.3%57%12 0.10⚠ differs
SMH SMHLONG+0.8% · 5d +1.2%56%15 0.08✓ matches cascade
NDX NDXLONG+0.1% · 5d -0.3% ↺ fades56%15 0.07✓ 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.