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

What if a reshoring boom reshapes industrial property, labour and capex?

A reshoring/onshoring boom is reflationary growth: industrial demand lifts copper (Freeport) and capex, bear-steepening the curve and nudging the Fed/real yields higher as mortgage rates follow. Rhymes with the post-2021 IRA/CHIPS construction-spending surge that drove a US factory-building boom. Forward angle: today's labor scarcity and automation mean reshoring is capex/robotics-intensive rather than job-rich, so the inflation impulse may be milder and the industrial-metals bid more durable than a 1970s-style wage spiral.

41%
our model probability
over 3–10 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 41% · 90% range 19–63% · 15 analogues · measured class labor 97% in 10 yr · 3% held back for the unknown
how we built this number — every step
Measured class rate — labor ≈0.3374/yr → 97% in 10 yr97%
Analyst prior · editorial share 47% of the class45%
Pooled · weight 71%42%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)42%
Published41%

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 mixed shock. A reshoring/onshoring boom reshapes industrial real estate, labor and capex. The trigger decomposes into signed root‑shocks — Growth surprise ▲ · Inflation expectations ▲ · Industrial demand ▲ — 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
1Freeport (copper) FCX 📈 chartEquity▲ +0.4%
hist -0.85–+1.3% · other way -2.07% (n=12)
230y Treasury yield DGS30 📈 chartRate▲ +2bp
hist -7.94–+23.53% · other way -1.0% (n=12)
310y Treasury yield DGS10 📈 chartRate▲ +2bp
hist -6.63–+18.53% · other way -4.3% (n=12)
4Gold XAUon Hyperliquid 📈 chartCommodity▼ -0.2%
hist -3.05–+1.47% · other way +1.62% (n=12)
5Copper XCUon Hyperliquid 📈 chartCommodity▲ +0.2%
hist -0.38–+0.58% · other way -1.97% (n=12)
6MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.2%
hist -6.22–+7.31% · other way +0.56% (n=12)
7US dollar (DXY) DXYon Hyperliquid 📈 chartFX▲ +0.1%
hist -0.05–+0.29% · other way -0.11% (n=12)
8Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +0.1%
hist -0.12–+0.32% · other way +0.01% (n=12)
92y Treasury yield DGS2Rate▲ +2bp
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: Mixed for a typical portfolio — the move is more about rotation than direction. Favour the winners over the losers below rather than net exposure.
Also moves (not yet on Hyperliquid): Freeport (copper) +0.4% · 30y Treasury yield +2bp · 10y Treasury yield +2bp · 2y Treasury yield +2bp

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.

Volcker Saturday Night Special 1979-10 Platinum hits an 11-year high on Chinese jewelry demand and deficit 2025-06 Nasdaq Composite first close above 20000 2024-12 Palladium jumps after US pushes G7 sanctions on Russian metal 2024-10 Strong May 2023 jobs report jolts yields higher 2023-06 Nvidia AI-guidance blowout ignites the automation/AI capex wave 2023-05 Bank of England's first post-pandemic rate hike 2021-12 Bank of Japan Kuroda QQE 'bazooka' 2013-04 Silver hits 30-year high as JPMorgan and HSBC face manipulation suits 2010-10 Crude oil all-time high 2008-07 Soviet August coup attempt against Gorbachev 1991-08 Silver Thursday 1980-03 Gold peaks at $850 1980-01 1979 Iranian Revolution oil shock 1979-01 Nixon Shock 1971-08
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
Gold XAUSHORT-2.9% · 5d -0.4%78%9 0.46✓ matches cascade
30y yield DGS30LONG+21bp · 5d +7bp72%14 0.42✓ matches cascade
10y yield DGS10LONG+16bp · 5d +6bp68%15 0.33✓ matches cascade
High-yield credit HYGSHORT-0.6% · 5d -0.2%67%9 0.22·
Volatility VIXSHORT-2.8% · 5d -5.7%60%10 0.13·
XCU XCUSHORT-0.6% · 5d -0.0%56%9 0.10⚠ differs
FCX FCXSHORT-1.2% · 5d -1.3%56%9 0.08⚠ differs
MSTR MSTRLONG+7.7% · 5d -3.5% ↺ fades44%9 0.00✓ matches cascade
US dollar DXYLONG+0.2% · 5d +0.1%48%15 0.00✓ matches cascade
NDX NDXSHORT-0.2% · 5d -0.5%40%10 0.00⚠ differs
Bitcoin BTCLONG+0.6% · 5d -2.8% ↺ fades33%6 0.00·

Why this probability

Reshoring already underway via tariffs/IRA; multi-year boom is a developing trend. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.

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.