Will the US Government remove public access to a major Chinese AI model by 2026? [ resolves 2026-12-31 (161D) ]
US Government removes public access to a major Chinese AI model in 2026?
polymarket: [C] multiple sources, no tie-break·reporting consensus methodology ›
markets · by resolution date · marks: daily snapshot
polymarket 1 market
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| US Government removes public access to a major Chinese AI model in 2026 | 2026-12-31 | 25.0% | $689 | $15K | C | 0x194fbd…6bfc |
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| polymarket | Whitelisted Proposers | uncommitted | not provided | Optimistic Oracle (UMA) | Other | — |
verbatim rules
polymarket
This market resolves "Yes" if the US federal government passes legislation, issues an executive order, issues an export control, or takes any other formal action that directly has the effect of generally removing public access within the US to a major Chinese AI model, between market creation and December 31, 2026, 11:59 PM ET. Otherwise, this market resolves "No".
A qualifying action is a formal US government action that has the effect of a removal of general public access to a previously publicly available AI model within the US. Such an action qualifies, regardless of its stated purpose or nominal target. An action directed at other parties qualifies if, in effect, it causes a general removal of public access to the model within the US (e.g., a ban on the provision of a model to foreign citizens or governments would qualify if, due to the ban, the providing company generally removed public access to the model within the US). A general removal of public access to a qualifying model qualifies even if it does not apply to limited groups or organizations (e.g., whitelisted firms or individuals with security clearance). To qualify, ordinary public access to the model must be eliminated across ordinary public channels within the US; removal from a single channel is not sufficient. Removals of general public access not caused by any formal US government action will not qualify.
"Major Chinese AI model" refers to a flagship, general-purpose large language or multimodal foundation model developed by one of the following companies: DeepSeek, Baidu (ERNIE), Alibaba, ByteDance, Moonshot AI, MiniMax, Tencent (Hunyuan) and Zhipu AI (Z.ai). Narrow or special-purpose models (e.g., embedding, moderation, or single-modality media generation models) and deprecated, research-only, or preview-only models will not qualify.
The action may target a single model or a slate of models, so long as at least one major Chinese AI model is generally removed from public access within the US as a result of the action.
The removal of access for any amount of time qualifies. An action that has been enacted or issued, but which has not effected the removal of general public access to a major Chinese model by the resolution date, will not qualify.
The resolution source for this market is official information and announcements from the United States government and the relevant AI company. However, a consensus of credible reporting may also be used.
platform source field
polymarket.resolutionSource → ∅ no committed source — see rules text above sources (2)
- official information and announcements from the United States government from rules text · editorial
- the relevant AI company from rules text · editorial
recent wire items
monitoring status: active no active wire
No CM Signal wire has been published for this event yet.
CM Signal’s news-cycle scan surfaces the day’s top stories alongside the prediction markets pricing them. When a story references this event, its wire is published here and links back to this page.
programmatic access · four surfaces, same payload
One canonical record at every surface — embedded JSON-LD, REST, MCP, and /llms.txt.
| HTML | browsers, AI grounded search, crawlers (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/us-government-removes-public-access-to-a-major-chinese-ai-model-in-2026-20260703203328223/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/us-government-removes-public-access-to-a-major-chinese-ai-model-in-2026-20260703203328223 |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("us-government-removes-public-access-to-a-major-chinese-ai-model-in-2026-20260703203328223") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-07-23. Venue data via Kalshi + Polymarket APIs. Editorial fields (tags, editorial_notes) are ClearMarket-drafted with AI assistance under editorial review. Derived fields (venues_covered, resolution_clarity_grade, rcg_score) computed at serve time. Full per-field map in the JSON record under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"event_id": "CM-EVT-KM1LCNGB44",
"slug": "us-government-removes-public-access-to-a-major-chinese-ai-model-in-2026-20260703203328223",
"question": "Will the US Government remove public access to a major Chinese AI model by 2026?",
"category": "technology",
"tags": [
"technology",
"ai",
"tech",
"us-china-relations",
"ai-regulation",
"2026"
],
"venues_covered": [
"polymarket"
],
"market_count": 1,
"cumulative_volume_usd": 15085,
"resolution_clarity_grade": "C",
"rcg_score": 52,
"rcg_caps": [
"multi_source_no_conflict_rule",
"commitment_uncommitted_placeholder"
],
"resolution_source": null,
"resolution_source_url": null,
"source_status": "no_committed_source",
"source_of_record": null,
"resolution_source_list": [
{
"name": "official information and announcements from the United States government",
"url": null,
"provenance": "clearmarket_editorial"
},
{
"name": "the relevant AI company",
"url": null,
"provenance": "clearmarket_editorial"
}
],
"arbitration_model": "uma_oracle",
"proposer_model": "managed_whitelist",
"field_provenance": {
"question": {
"source": "clearmarket_editorial"
},
"tags": {
"source": "clearmarket_editorial",
"ai_drafted": true
},
"resolution_clarity_grade": {
"source": "derived",
"method": "rcg_v2_7factor"
},
"venues_covered": {
"source": "derived"
}
}
}