AI bubble burst by...?

Resolution Criteria

This market will resolve to "Yes" if the AI industry experiences an industry downturn by the specified date, 11:59 PM ET. Otherwise, this market will resolve to "No". 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.

Prediction markets currently show a small but notable share of volume concentrated on the possibility of an AI industry bubble burst by December 2026, with the December 31, 2026 outcome the heaviest-backed resolution date available. The market uses a multi-condition trigger: at least three specific financial or corporate events must occur within a 90-day window before any resolution to 'Yes' is possible. Resolution is drawn from official exchange data, company filings, and a consensus of credible reporting.

Market structure

The market offers three outcomes, structured around different resolution dates for a qualifying AI industry downturn. Volume is concentrated on the December 31, 2026 outcome rather than broadly distributed across the available dates. Resolution requires a minimum of three defined trigger events occurring within any 90-day window inside the specified timeframe. No single indicator is sufficient; the multi-condition structure means resolution depends on a cluster of correlated financial and corporate events aligning simultaneously.

Background

Concern about a potential AI investment bubble has grown alongside rapid capital deployment into AI infrastructure, model development, and hardware supply chains since 2022. NVIDIA's valuation surge, the scale of data centre buildout, and multibillion-dollar funding rounds for companies such as OpenAI and Anthropic have drawn comparisons to late-1990s dot-com dynamics. Critics point to questions about near-term revenue generation relative to capital expenditure, while supporters argue structural demand for AI compute is durable. The debate has intensified as major technology firms report AI-related capital spending at historic levels, and as semiconductor valuations have experienced significant volatility in 2024 and 2025.

Key factors

Several structural factors bear on whether the trigger conditions could be met within a 90-day window before the end of 2026. NVIDIA's stock price trajectory depends on continued data centre demand, competitive pressure from alternative chip suppliers, and any softening in hyperscaler capital expenditure. Semiconductor ETF declines of the required magnitude would typically require broad sector stress, not isolated company underperformance. OpenAI and Anthropic's financial positions are tied to revenue growth, continued investor confidence, and the cost trajectory of frontier model training. H100 rental prices on the SiliconData Silicon Index reflect GPU supply-demand balance; a collapse to the trigger level would imply severe oversupply or demand destruction. Hardware supplier stocks — TSMC, ASML, Broadcom, Arista, and Super Micro — have differing exposures to AI cycles. The 90-day co-occurrence requirement means a slow, gradual deterioration would not trigger resolution; conditions would need to cluster tightly in time.

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