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Home » Artificial Intelligence

OpenAI Shows Kalshi’s World Cup Odds in ChatGPT

Published on: July 14, 2026, 3:09 PM EDT
Barry Elad
Founder & Senior Journalist • 753 Articles
Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world o...
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OpenAI has begun showing Kalshi’s World Cup prediction-market odds inside ChatGPT search results, according to The New York Times, a rollout that coincided with Kalshi’s own July 13, 2026 preview of the France-Spain semifinal. Neither company has promoted the integration publicly.

Quick Summary – TLDR:

  • OpenAI has begun surfacing Kalshi’s 2026 World Cup prediction-market odds inside ChatGPT search results, a tie-up that has not been promoted publicly by either company.
  • ChatGPT search results gave France a 60% chance of beating Spain and England a 55% chance of beating Argentina in the two World Cup semifinals.
  • Kalshi’s own market prices France’s chance of advancing at 59% and Spain’s at 41%, per Kalshi, a different snapshot than the ChatGPT figures above.
  • OpenAI tags every such result and says the data is for informational purposes only and users cannot place bets through ChatGPT.
  • The deal is OpenAI’s first tie-up with a prediction market, following Kalshi’s data partnership with CNN and CNBC and Polymarket’s similar deal with Dow Jones properties, including The Wall Street Journal.

What Happened?

For queries tied to the 2026 World Cup, ChatGPT may show predictive information sourced from Kalshi, with each result clearly labeled with “Source: Kalshi“, per OpenAI’s Help Center. The deal with a prediction market is a first for OpenAI.

A ChatGPT search for France and Spain displays a graphic assigning France a 60% chance of winning Tuesday’s semifinal, while a search on the other semifinal shows England with a 55% chance of beating Argentina, both attributed to Kalshi data inside ChatGPT. Kalshi’s own site prices that same France-Spain matchup at 59% for France to advance and 41% for Spain, per Kalshi. The gap between the two figures shows prediction market prices move continuously, so ChatGPT’s number is a snapshot, not a fixed one.

Kalshi’s outright tournament-winner market puts France atop the field at 40%, with Argentina at 21% and England and Spain both at 20%. The winner of Tuesday’s match at AT&T Stadium in Arlington, Texas, advances to the July 19 final at MetLife Stadium, where they will face the winner of England versus Argentina.

Saw this earlier today in ChatGPT (see below) -> OpenAI has struck a partnership with Kalshi to show World Cup prediction market data in ChatGPT search results, its first deal with a prediction market

“In a recent update to its corporate help web page, OpenAI said users “cannot… pic.twitter.com/eqRj0fTCWU

— Glenn Gabe (@glenngabe) July 14, 2026

The Informational-Only Line

OpenAI draws a firm boundary around the feature. cannot place bets through ChatGPT, the company says, and the Kalshi data is for informational purposes only. OpenAI and Kalshi declined to comment beyond that policy language.

That informational-only line still does real work for Kalshi. Surfacing live odds to every ChatGPT search is a distribution channel, disclaimer or not, and exactly the awareness Kalshi has spent the past year buying through media deals.

A Race for AI Distribution

Kalshi integrated its data across CNN and CNBC last year, including a real-time ticker that runs during news segments. Polymarket, Kalshi’s largest rival, struck a similar deal in January to integrate its data across Dow Jones products, including The Wall Street Journal.

Google struck deals with Polymarket and Kalshi last year to put prediction market results into Google Search results and on its Google Finance page. Meta chief executive Mark Zuckerberg has directed lieutenants to build a standalone prediction-markets app integrated into Facebook and Messenger.

ChatGPT’s quiet pilot fits that same scramble. Prediction market data is racing to embed in every major information surface, and AI search is now one of them, sharpening the AI Model Comparison contest over which assistant answers first.

Correct bets on the timing of U.S. military actions in Iran and Venezuela have raised concerns about leaks of sensitive information and potential insider trading. A top federal financial agency opened an extensive investigation into Polymarket this year, examining whether the platform is operating within the law. OpenAI’s rollout lands inside that scrutiny, raising the stakes for how carefully any AI platform handles wagering data, even when it calls the information view-only.

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SQ Magazine’s Takeaway

This quiet pilot shows that AI search is becoming the newest surface prediction markets are fighting to reach. Kalshi already sits inside CNN and CNBC broadcasts, and Polymarket already sits inside Dow Jones publications. Landing inside ChatGPT gives Kalshi a spot inside one of the most widely used AI search tools, something neither rival has secured yet.

The informational only label does not change that basic fact. A disclaimer that blocks in app betting still leaves the awareness funnel intact, and awareness is what Kalshi has been buying all year.

What happens after the World Cup will show whether this is a permanent feature or a seasonal experiment. Both companies declined to explain their plans beyond the tournament, and the arrangement’s narrow scope, World Cup queries only, reads as a cautious test rather than a broader rollout of betting-odds data across ChatGPT search.

This article has been reviewed and fact-checked by Robert A. Lee. SQ Magazine follows strict Publishing Principles and a documented Fact-Check Policy to ensure accuracy, transparency, and editorial independence across all content.

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References

  • OpenAI Is Showing Kalshi's World Cup Odds in ChatGPT - The New York Times
  • ChatGPT Search - OpenAI Help Center
Barry Elad

Barry Elad

Founder & Senior Journalist


Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world of artificial intelligence, uncovering trends, data, and real-world impacts for readers. When he’s off the page, you’ll find him cooking healthy meals, practicing yoga, or exploring nature with his family.

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Table of Contents

  • Quick Summary – TLDR:
  • What Happened?
  • The Informational-Only Line
  • A Race for AI Distribution
  • SQ Magazine’s Takeaway

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