Energy & Commodities risk-off · 1–3 years
A what‑if from the future

What if utilities that built generation for AI load face stranded assets when demand falls short?

Utilities that committed generation and grid capex to speculative AI load face stranded assets and rate-base disputes when promised data-center demand fails to arrive.

11%
our model probability
over 1–3 years
prediction markets — the market's odds
loading live odds…
Anchored to measured history 11% · 90% range 2–20% · 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…

loading the timeline…

What it would mean

If this plays out, it is a risk-off shock. Utilities that committed generation and grid capex to speculative AI load face stranded assets and rate-base disputes when promised data-center demand fails to arrive. The trigger decomposes into signed root‑shocks — AI capex ▼ · Credit spreads ▲ · Industrial demand ▼ · Risk appetite ▼ — 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.