Will a federal ban on public access to open-source AI models be enacted in the United States through legislation, an executive order, a regulation or another binding federal measure before Jan 1, 2027?

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Source

Kalshi ✓ Verified source

Event cutoff

Jan. 1, 2027, 4:59 a.m. UTC

Rules

If a federal ban on public access to open-source AI models is enacted in the United States through legislation, an executive order, a regulation or another binding federal measure before Jan 1, 2027, then the market resolves to Yes.

Enactment requires completion of all constitutional and legal requirements for the measure to become legally binding.

Standard legislation requiring executive approval: final passage by all required legislative bodies, executive signature OR becoming law despite executive inaction OR successful veto override, and satisfaction of any required waiting periods
Executive orders: official signature, publication in official government records, and satisfaction of any required procedural steps for implementation; a delayed effective date does not prevent enactment
Administrative regulations, including export controls: completion of required rulemaking procedures and final publication in the official government record; a binding interim final rule counts once published
Other governmental measures: official issuance in final, legally binding form

The following do NOT constitute enactment:

Legislative passage without completed executive action
Passage by only some required bodies
Provisional passage
Non-binding resolutions
Draft orders or proposed rules

Enactment occurs when all requirements are completed, regardless of pending judicial challenges. A qualifying measure counts once enacted or issued, regardless of a later effective date.

For this market, a “ban on open-source AI models” means a legally binding federal measure that prohibits distribution to, or access to or use by, the general public in the United States of at least one general-purpose large language or multimodal foundation model whose weights are publicly downloadable and usable on user-controlled hardware, such as Llama, Mistral, DeepSeek or Qwen. Source-available models qualify regardless of license restrictions on acceptable use. The measure may target one model, a named