Heavy ongoing capital expenditures exceeding $1 trillion globally in 2026, driven by hyperscalers including Microsoft, Google, Amazon, and Meta, anchor trader consensus that an AI bubble burst remains unlikely in the near term. Recent developments such as Goldman Sachs forecasts of sustained infrastructure buildout, Nvidia’s continued dominance in AI chips amid AMD competition, and early enterprise adoption signals support this view, even as South Korean memory chipmakers saw sharp sell-offs tied to ROI concerns and figures like Sam Altman highlight profitability gaps. Upcoming Q3 earnings from major AI labs and hardware providers represent key catalysts that could either validate continued investment or expose shortfalls in large language model returns, while mixed results from corporate AI pilots underscore the distinction between demonstrated capabilities and broader hype.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$2,928,812 Vol.
December 31, 2026
15%
$2,928,812 Vol.
December 31, 2026
15%
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...Heavy ongoing capital expenditures exceeding $1 trillion globally in 2026, driven by hyperscalers including Microsoft, Google, Amazon, and Meta, anchor trader consensus that an AI bubble burst remains unlikely in the near term. Recent developments such as Goldman Sachs forecasts of sustained infrastructure buildout, Nvidia’s continued dominance in AI chips amid AMD competition, and early enterprise adoption signals support this view, even as South Korean memory chipmakers saw sharp sell-offs tied to ROI concerns and figures like Sam Altman highlight profitability gaps. Upcoming Q3 earnings from major AI labs and hardware providers represent key catalysts that could either validate continued investment or expose shortfalls in large language model returns, while mixed results from corporate AI pilots underscore the distinction between demonstrated capabilities and broader hype.
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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