Major hyperscaler capital expenditures exceeding $1 trillion in 2025–2026, outpacing earnings growth and funded partly through debt, have fueled trader caution around an AI bubble. Warnings from the Bank for International Settlements in June highlighted risks of disappointing returns on large language model infrastructure triggering a pullback, echoed by Macquarie’s August analysis of “rolling bubbles” across chips, data centers, and applications rather than a single crash. June selloffs in semiconductor stocks and elevated valuations at firms like Alphabet amplified concerns, though adoption metrics and contract backlogs remain robust. Key near-term catalysts include quarterly earnings from OpenAI rivals and hyperscalers, plus any supply constraints in electricity or memory chips that could shift sentiment on monetization timelines.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$2,933,455 Vol.
December 31, 2026
12%
$2,933,455 Vol.
December 31, 2026
12%
For the purposes of this market, the AI industry will be considered to have experienced an industry downturn once at least three of the following events have occurred within 90 days of this market's specified timeframe:
- NVIDIA Corporation (NVDA) closing stock price is down 50% from its all-time high.
- iShares PHLX Semiconductor ETF (SOXX) closing stock price is down 40% from its all-time high.
- OpenAI, Inc. or Anthropic PBC declares bankruptcy.
- OpenAI, Inc. is acquired.
- H100 rental price falls to $1.00 or lower for five consecutive days, as shown on the SiliconData Silicon Index at:
https://www.silicondata.com/products/silicon-index.
- Major AI Hardware Supplier Collapse: Taiwan Semiconductor Manufacturing Company Limited (TSM), ASML Holding N.V. (ASML), Broadcom Inc. (AVGO), Arista Networks, Inc. (ANET), or Super Micro Computer, Inc. (SMCI), closing stock price is down 50% from its all-time high.
This market may resolve immediately once three conditions have been met within 90 days of the specified timeframe.
This market will not resolve to "Yes" until three conditions have been met, regardless of reporting of an industry downturn or similar claims.
The primary resolution source will be official information from the respective companies and listing exchanges; however, a consensus of credible reporting will also be used.
Market Opened: Nov 19, 2025, 7:23 PM ET
Resolver
0x65070BE91...For the purposes of this market, the AI industry will be considered to have experienced an industry downturn once at least three of the following events have occurred within 90 days of this market's specified timeframe:
- NVIDIA Corporation (NVDA) closing stock price is down 50% from its all-time high.
- iShares PHLX Semiconductor ETF (SOXX) closing stock price is down 40% from its all-time high.
- OpenAI, Inc. or Anthropic PBC declares bankruptcy.
- OpenAI, Inc. is acquired.
- H100 rental price falls to $1.00 or lower for five consecutive days, as shown on the SiliconData Silicon Index at:
https://www.silicondata.com/products/silicon-index.
- Major AI Hardware Supplier Collapse: Taiwan Semiconductor Manufacturing Company Limited (TSM), ASML Holding N.V. (ASML), Broadcom Inc. (AVGO), Arista Networks, Inc. (ANET), or Super Micro Computer, Inc. (SMCI), closing stock price is down 50% from its all-time high.
This market may resolve immediately once three conditions have been met within 90 days of the specified timeframe.
This market will not resolve to "Yes" until three conditions have been met, regardless of reporting of an industry downturn or similar claims.
The primary resolution source will be official information from the respective companies and listing exchanges; however, a consensus of credible reporting will also be used.
Resolver
0x65070BE91...Major hyperscaler capital expenditures exceeding $1 trillion in 2025–2026, outpacing earnings growth and funded partly through debt, have fueled trader caution around an AI bubble. Warnings from the Bank for International Settlements in June highlighted risks of disappointing returns on large language model infrastructure triggering a pullback, echoed by Macquarie’s August analysis of “rolling bubbles” across chips, data centers, and applications rather than a single crash. June selloffs in semiconductor stocks and elevated valuations at firms like Alphabet amplified concerns, though adoption metrics and contract backlogs remain robust. Key near-term catalysts include quarterly earnings from OpenAI rivals and hyperscalers, plus any supply constraints in electricity or memory chips that could shift sentiment on monetization timelines.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



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