xAI released a statement confirming the agreement, saying: “From now on, Kalshi and xAI will work together to connect Grok with prediction markets. They stated that both companies are listed among the fastest growing in the US, and from now on, they will start working as a single team. Kalshi’s CEO, Tarek Mansour, described his excitement and explained that AI could create new paths for prediction markets.

On LinkedIn, Mansour noted that before, many people believed it was not possible, but prediction markets are now known as a main tool to understand the world. He added they always respected people who challenge what’s expected, and said Elon and xAI show that idea best. Just within two years, xAI started as only an idea and soon managed the largest training site globally.

How Kalshi Will Integrate xAI’s Technology

In his words, Kalshi and xAI will move with the same speed to help grow the market’s future. Kalshi will use xAI’s tech, including its AI bot Grok, inside its legal prediction market system. Details were not shared, but many believe Grok will be part of Kalshi’s overview pages to give instant summaries and insights for politics, news, and sports sectors, making trades smarter for users.

May Confusion

This story comes after an earlier deal last month, where X and Polymarket—a blockchain betting platform, made a similar partnership. That partnership lets Polymarket use both X posts and Grok insights inside their forecasts. Kalshi and xAI’s work together was first mentioned in May, after Mansour shared news about the deal too early but quickly removed his post.

Kalshi later explained that the details had not been fixed, and X clarified that even though they were talking, there was no contract yet for prediction market teamwork. Alan Vey, from market platform Galactic Market, told NEXT.io that his company welcomes more prediction markets working with Large Language Models (LLMs), and he believes this will change the field.

Partnerships like this give a lot of value by using LLMs to check big amounts of data, find new trends, and highlight markets with lots of user interest. He added that LLMs help companies meet rules by moving through regulation, putting risks into groups, and making sure laws are followed. When LLMs turn complex market details into simple tips, people find it easier to join, and users get information to make trading choices they understand.