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

What if cheap robotics ignite a fully automated reshoring boom?

Tax credits plus cheap robotics igniting fully automated US factories is the strongest reshoring/capex impulse here: it bids Nvidia/semis/Tesla hard and pulls copper (Freeport) on industrial demand. Rhymes with the post-CHIPS/IRA 2022-23 factory-construction boom that lifted capital-goods orders and industrial real estate. Forward angle: 'lights-out' reshoring delivers output, not jobs — the political backlash (robot tax) is the embedded counter-trade.

39%
our model probability
over 1–3 years
prediction markets — the market's odds
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Anchored to measured history 39% · 90% range 18–61% · 40 dated precedents behind it — a wider range means thinner evidence

Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.

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 (electric blue) over time vs the market's (Polymarket, amber), 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. Loading the probability audit trail…

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What it would mean

If this plays out, it is a risk-on shock. Tax credits plus cheap robotics trigger a wave of fully automated US factories, lifting industrial real estate and capital-goods orders. The trigger decomposes into signed root‑shocks — Industrial demand ▲ · Robotics productivity ▲ — which propagate through our causal graph to the markets below.

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Market odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-08-13.