Technology & AI risk-off · 3–10 years
A what‑if from the future

What if labour's share of GDP plunges as automation lifts profits?

A falling labor share lifting corporate profits bids the automation winners (Nvidia, Tesla, semis) even as it ignites tax-the-robots politics — the cascade rightly nets out risk-off sentiment against the capex bid. Rhymes with the post-2000 secular labor-share decline that fattened margins and equity returns for two decades. Forward angle: the embedded tail is policy reversal (robot tax/redistribution) that the +1.1% Nvidia leg doesn't discount.

23%
our model probability
over 3–10 years
prediction markets — the market's odds
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Anchored to measured history 23% · 90% range 8–38% · 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 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. Loading the probability audit trail…

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What it would mean

If this plays out, it is a risk-off shock. Labor's share of GDP plunges as automation lifts profits, igniting redistribution politics and tax-the-robots momentum. 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.