Technology & AI risk-off · 6–18 months
A what‑if from the future

What if the smartphone upgrade super-cycle stalls?

A double-digit handset-unit downturn from upgrade fatigue drags Apple, Qualcomm and the supply chain — a cyclical-demand miss, so the tape is moderate risk-off with VIX up, not a systemic break. The analogue is the 2018–19 and 2022 smartphone slumps that hit Qualcomm/Skyworks and Apple unit guidance. Forward angle: an on-device-AI 'must-upgrade' cycle is the bull offset — if it fails to materialize, the replacement-cycle lengthening structurally caps Apple hardware growth, not just a one-year air-pocket.

25%
our model probability
over 6–18 months
prediction markets — the market's odds
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Anchored to measured history 25% · 90% range 12–38% · 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 6–18 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-off shock. A global upgrade-fatigue downturn cuts handset units double digits, dragging Apple, Qualcomm, and the supply chain. The trigger decomposes into signed root‑shocks — Growth surprise ▼ · 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.