Massive capital expenditures by hyperscalers such as Microsoft, Amazon, Meta, and Google—projected to exceed $670 billion in 2026 alone for data center buildouts and AI infrastructure—remain the central driver shaping trader views on whether an AI bubble will burst. These outlays support training and inference for large language models amid ongoing questions about enterprise adoption and measurable productivity gains, as recent surveys show limited real-world impact despite optimistic executive projections. Competitive dynamics between leading labs, including OpenAI's debt-funded data center plans and Nvidia's expanded investments, highlight the tension between rapid capability advances and mounting costs that could outpace revenue. Traders are watching upcoming earnings reports and regulatory signals on AI spending for signs of sustained returns or a shift toward more measured growth.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourLa bulle de l'IA a éclaté par... ?
$2,838,963 Vol.
31 décembre 2026
22%
$2,838,963 Vol.
31 décembre 2026
22%
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.
Marché ouvert : 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...Massive capital expenditures by hyperscalers such as Microsoft, Amazon, Meta, and Google—projected to exceed $670 billion in 2026 alone for data center buildouts and AI infrastructure—remain the central driver shaping trader views on whether an AI bubble will burst. These outlays support training and inference for large language models amid ongoing questions about enterprise adoption and measurable productivity gains, as recent surveys show limited real-world impact despite optimistic executive projections. Competitive dynamics between leading labs, including OpenAI's debt-funded data center plans and Nvidia's expanded investments, highlight the tension between rapid capability advances and mounting costs that could outpace revenue. Traders are watching upcoming earnings reports and regulatory signals on AI spending for signs of sustained returns or a shift toward more measured growth.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
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