The US is betting on AI to catch insider trading in prediction markets
The US Commodity Futures Trading Commission (CFTC) is intensifying its efforts to combat insider trading in prediction markets, particularly on platforms like Polymarket. The agency is utilizing AI and automation to analyze trading patterns and identify suspicious activities among US traders using virtual private networks to access offshore markets. This initiative comes amid growing scrutiny and calls from lawmakers for investigations into potential insider trading related to geopolitical events.
- ▪The CFTC is monitoring prediction markets for illegal activities, particularly focusing on Polymarket.
- ▪Agency chairman Michael Selig emphasized the use of AI to analyze trading data and flag potential manipulation.
- ▪Prominent prediction market companies are also taking steps to address insider trading and market manipulation.
3 outlets in our directory ran this story, first to last over 42 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ The US is betting on AI to catch insider trading in prediction markets — r/singularity
- ▪ The US is betting on AI to catch insider trading in prediction markets — r/artificial
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| Original publisher | WIRED |
| Canonical URL | https://www.wired.com/story/polymarket-insider-trading-cftc-michael-selig-interview/ |
| Publication time | Sat, 16 May 2026 19:27:49 +0000 |
| Retrieval time | 2026-05-16T19:40:19.037Z |
| Last seen | 2026-05-16T19:40:19.037Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | jpbqt20ynrBg · 3 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Kate KnibbsBusinessMay 15, 2026 5:30 AMThe US Is Using AI to Hunt Down Insider Trading on PolymarketCFTC chairman Michael Selig sat down with WIRED to discuss how the agency scours Polymarket and other prediction markets for illegal activity.Photograph: Ian Maule/Bloomberg/Getty ImagesCommentLoaderSave StorySave this storyCommentLoaderSave StorySave this storyFor most of the past year, it looked like prediction markets had kicked off a new golden age of fraud. On Polymarket, traders raked in fortunes from suspiciously timed bets on geopolitical events like the raid on Venezuela and the Iran War.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at WIRED.