Kalshi traders spent the closing days of September trying to predict who Donald Trump would name as his next White House AI czar, with the market shifting as potential candidates emerged and reports narrowed the field.
The question has now been answered, as Trump appointed Jay Clayton to the role on October 4, 2026, bringing the Kalshi market to its conclusion.
Clayton replaced David Sacks who had served as Trump`s AI and Crypto Czar before leaving the position in March 2026.
Kalshi Traders Predicted Trump`s Next AI Czar
Kalshi`s market gave traders the chance to take positions on who Trump would choose for the influential artificial intelligence role. As with other political appointment markets on the platform, contract prices changed as traders reacted to new information.
A candidate trading at 60 cents for example, broadly represented a market-implied probability of around 60%, with a correct contract ultimately settling at $1.
The AI czar market became particularly relevant as speculation intensified over who would succeed Sacks. Trump had originally appointed Sacks as White House AI and Crypto Czar in December 2024. Sacks subsequently played a central role in the administration's technology agenda, including the development of America`s AI Action Plan.
His departure from the czar position in March 2026 created the opening that Kalshi traders were attempting to predict.
Jay Clayton Emerged As the Likely Choice
The picture became clearer toward the end of September, when on September 29, Trump publicly entertained the possibility of appointing Clayton. When the former SEC chair’s name was raised as a potential choice, Trump described him as a “good man” and indicated that selecting him was a good idea.
This provided prediction market traders with an important new piece of information. Reports subsequently pointed more directly toward Clayton as the likely candidate, further reducing the uncertainty surrounding the market before Trump made his decision official.
Clayton already had considerable experience inside the administration, since he chaired the Securities and Exchange Commission during Trump`s first term and later served as US attorney for the Southern District of New York.
By 2026, he was serving as Director of National Intelligence, giving him responsibility for overseeing the US intelligence community.
Why the AI Czar Market Was Important
The appointment attracted attention because AI policy had become an increasingly important part of the administration`s economic and national security agenda. The White House`s approach covered areas ranging from AI infrastructure and energy requirements to international competition and the development of American technology.
For users of
politics prediction sites, the Kalshi market turned the appointment process into a tradeable event; prices could respond immediately to Trump`s comments, reporting about potential candidates and other developments before an official decision was announced.
You can find similar contracts through our
prediction market apps
guide.
How and When the Kalshi AI Czar Market Concluded
The uncertainty ended on October 4, 2026, when Trump appointed Jay Clayton as White House AI czar. Clayton was also tasked with leading the newly created Super Intelligence Force, while continuing to serve as Director of National Intelligence.
The group is expected to examine the opportunities and risks associated with AI and report its findings to the administration. The announcement provided the definitive outcome for the prediction market after several days in which public comments and subsequent reporting had increasingly pointed toward Clayton.
Contracts were ultimately settled according to Kalshi`s specific market rules and resolution criteria, with Clayton`s appointment determining the winning outcome.
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