AI Industry Downturn by December 31, 2026?

This contract doesn't resolve on vibes about an AI bubble. It resolves on a specific and demanding multi-trigger criteria — at least three of six hard conditions must fire within a 90-day window tied to December 31. That precision is what makes the 20-30% YES pricing analytically interesting rather than just a sentiment gauge. The trigger set is worth understanding individually. NVIDIA closing 50% or more below its all-time high. SOXX falling 40% or more from peak. OpenAI or Anthropic declaring bankruptcy. OpenAI being acquired. H100 rental prices collapsing to $1.00 per day or below for five consecutive days. A major chip or infrastructure supplier — TSMC, ASML, Broadcom, Arista, or Super Micro Computer — closing 50% below its all-time high. Three of those six must occur simultaneously within a 90-day window. The macro conditions generating the 20-30% probability are real. Approximately $192.7 billion raised by AI startups in 2025 — over 50% of global VC funding. Goldman Sachs estimating roughly $539 billion in AI capital expenditure for 2026. Research firms warning that 80-90% of AI startups may face valuation resets while a top tier survives. BCA and Capital Economics explicitly flagging a potential AI-driven stock bubble peak and correction around 2026. These aren't fringe concerns — they're mainstream institutional warnings about concentration and capex levels. The structural counterargument is equally mainstream. Fidelity and Stanford's AI Index both point to strong real adoption and measurable productivity gains that distinguish this cycle from pure financial speculation. A valuation correction is different from the multi-trigger collapse this contract requires — NVIDIA declining 30% from peak doesn't resolve YES, and neither does general tech sector weakness without accompanying frontier lab failures or chip supplier collapses. The contract's design creates a specific dynamic: it's harder to resolve YES than headline "AI bubble burst" coverage would suggest, because the simultaneous multi-trigger requirement filters out garden-variety corrections. Getting three conditions to fire within the same 90-day window requires correlated failures across hardware, software, and frontier AI simultaneously. Bottom line: A 20-30% YES pricing reflects genuine concentration risk and stretched valuations without treating collapse as the base case. Watch NVIDIA's price action relative to its all-time high and H100 rental rates on Silicon Index as the two most liquid real-time signals — those are the triggers most likely to fire first if the AI capex cycle turns, and their movement would signal whether the multi-trigger scenario is developing or remaining in tail territory.