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

What if AI augmentation lifts the bottom: low-skill productivity converges up?

Generative AI raises output most for less-experienced and lower-skill workers in support, sales and writing, compressing the productivity gap and lifting bottom-cohort wages; broad-based real-income gains support consumer demand.

32%
our model probability
over 1–3 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 32% · 90% range 5–59% · 11 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 59% of the class34%
Pooled · weight 65%33%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)33%
Published32%

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. Generative AI raises output most for less-experienced and lower-skill workers in support, sales and writing, compressing the productivity gap and lifting bottom-cohort wages; broad-based real-income gains support consumer demand. The trigger decomposes into signed root‑shocks — Consumer spending ▲ · Labor shortage ▲ · Risk appetite ▲ · Robotics productivity ▲ — 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▲ +1.4%
hist -1.93–+4.71% · other way -3.11% (n=12)
2Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +1.3%
hist +0.42–+1.43% · other way -0.4% (n=12)
3Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +1.1%
hist -0.59–+2.36% · other way +0.21% (n=12)
4Tech sector XLK 📈 chartEquity▲ +0.9%
hist +0.14–+0.88% · other way -0.23% (n=12)
5AMD AMDon Hyperliquid 📈 chartEquity▲ +0.7%
hist -2.2–+1.48% · other way +1.04% (n=12)
6Broadcom AVGOon Hyperliquid 📈 chartEquity▲ +0.7%
hist -1.79–+4.12% · other way +2.83% (n=12)
7Micron MUon Hyperliquid 📈 chartEquity▲ +0.7%
hist -2.94–+2.95% · other way -2.84% (n=12)
8TSMC TSMon Hyperliquid 📈 chartEquity▲ +0.7%
hist -1.94–+3.75% · other way -0.25% (n=12)
9Marvell MRVLon Hyperliquid 📈 chartEquity▲ +0.7%
hist -0.73–+1.24% · other way +2.48% (n=12)
10Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.7%
hist -22.47–+6.49% · other way -12.47% (n=10)
11MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.7%
hist -3.45–+5.74% · other way +5.96% (n=12)
12S&P 500 SPXon Hyperliquid 📈 chartIndex▲ +0.6%
hist -0.05–+0.91% · other way -2.6% (n=12)
13ASML ASMLon Hyperliquid 📈 chartEquity▲ +0.6%
hist -0.51–+1.04% · other way -2.9% (n=12)
14Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.6%
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 11 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.

Nvidia AI-guidance blowout ignites the automation/AI capex wave 2023-05 Nasdaq Composite first close above 20000 2024-12 Neuralink implants its first human brain-computer interface 2024-01 Strong May 2023 jobs report jolts yields higher 2023-06 OpenAI releases GPT-4 2023-03 ChatGPT launches 2022-11 Bank of England's first post-pandemic rate hike 2021-12 AlphaFold cracks the protein-folding problem 2020-11 AlphaGo defeats Lee Sedol 2016-03 Bank of Japan Kuroda QQE 'bazooka' 2013-04 Volcker Saturday Night Special 1979-10
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
SOL SOLSHORT-20.2% · 5d -10.0%100%8 0.69⚠ differs
AMD AMDSHORT-2.6% · 5d -0.1%81%10 0.46⚠ differs
10y yield DGS10LONG+20bp · 5d +5bp74%11 0.40·
AVGO AVGOLONG+3.7% · 5d +3.9%71%10 0.39✓ matches cascade
US dollar DXYSHORT-0.6% · 5d -0.2%74%11 0.37·
QCOM QCOMSHORT-2.8% · 5d -0.9%76%10 0.31⚠ differs
SPX SPXLONG+0.5% · 5d +0.6%65%11 0.26✓ matches cascade
MRVL MRVLSHORT-1.2% · 5d +1.0% ↺ fades67%10 0.24⚠ differs
XLK XLKSHORT-0.3% · 5d +0.0% ↺ fades67%10 0.23⚠ differs
NVDA NVDALONG+3.8% · 5d +0.8%62%10 0.19✓ matches cascade
TSM TSMLONG+3.3% · 5d -0.2% ↺ fades62%10 0.19✓ matches cascade
MSTR MSTRLONG+5.5% · 5d -0.2% ↺ fades62%10 0.19✓ matches cascade
ETH ETHSHORT-2.3% · 5d -2.3%65%8 0.19⚠ differs
MU MUSHORT-3.7% · 5d -0.3%62%10 0.17⚠ 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.