Technology & AI risk-on · 0–6 months
A what‑if from the future

What if Foxconn opens a lights-out electronics plant in Texas?

A Foxconn lights-out Texas plant proves automation-enabled reshoring and pressures Asian contract manufacturers (Foxconn/Pegatron home ops, TSMC-adjacent assembly). It bids US AI-silicon and is structurally disinflationary on goods. Rhymes with Foxconn's earlier Wisconsin pledge (2017) that under-delivered — execution risk is high. Transmission: the squeeze lands on Taiwan/China EMS labor and Mexican near-shoring, which the US-only cascade ignores.

12%
our model probability
over 0–6 months
prediction markets — the market's odds
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Anchored to measured history 12% · 90% range 0–26% · 21 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 0–6 months 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. Foxconn opens a near-zero-labor electronics plant in Texas, proving automation-enabled reshoring and pressuring Asian contract manufacturers. The trigger decomposes into signed root‑shocks — Job displacement ▲ · 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.