Major AI labs and hyperscalers continue pouring over a trillion dollars into data centers and large language models through 2026, yet central bank warnings from the BIS highlight risks of disappointing returns triggering an investment pullback reminiscent of past manias. Recent frontier model releases from OpenAI, Anthropic, Google, and Meta drew muted reactions amid enterprise reports of limited production deployment and token-cost sticker shock. Calls from executives including Sam Altman and Dario Amodei to slow recursive self-improvement add caution, while stock volatility in hyperscalers and chipmakers reflects shifting trader views on payback timelines. Upcoming earnings, regulatory scrutiny on safety, and adoption metrics at developer conferences could clarify whether spending sustains or contracts.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於$2,959,045 交易量
2026年12月31日
15%
$2,959,045 交易量
2026年12月31日
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.
市場開放時間: Nov 19, 2025, 7:23 PM ET
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.
Major AI labs and hyperscalers continue pouring over a trillion dollars into data centers and large language models through 2026, yet central bank warnings from the BIS highlight risks of disappointing returns triggering an investment pullback reminiscent of past manias. Recent frontier model releases from OpenAI, Anthropic, Google, and Meta drew muted reactions amid enterprise reports of limited production deployment and token-cost sticker shock. Calls from executives including Sam Altman and Dario Amodei to slow recursive self-improvement add caution, while stock volatility in hyperscalers and chipmakers reflects shifting trader views on payback timelines. Upcoming earnings, regulatory scrutiny on safety, and adoption metrics at developer conferences could clarify whether spending sustains or contracts.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於



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