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Photo: Fortune

AI Super PAC Spending Failed to Deliver Key Election Wins

AI-related super PAC spending reached a record $79 million across 68 congressional races this cycle. Much of the money went to primary contests, including the 12th District in New York, where Leading the Future put over $8.1 million into opposing Democrat Alex Bores and Public First devoted about $15 million to backing him. Bores lost the primary after the race drew more than $40 million in outside spending, the most of any House primary this cycle.

The industry’s biggest general-election bet was in South Carolina, where American Mission and a pro-data-center super PAC spent a combined $4.8 million supporting Republican Darline Graham. Democrat Annie Andrews won, 51.1% to 46.7%. Andrews used Graham’s backing for data centers in her campaign, calling her “Data Center Darline.”

Other candidates backed by AI networks had mixed results. Public First’s network supported Democrats who won House races in Ohio, Pennsylvania and Alabama. Leading the Future’s network backed Republican candidates who lost in Montana and North Carolina, while Democratic Rep. Jared Moskowitz won reelection in Florida. In Nebraska, Republican Sen. Pete Ricketts won with support from Public First’s network. Some races remained uncalled as of November 4, 2026.

Leading the Future had $34 million in cash across its network as of October 26, but had spent $7.4 million on general-election races by then. The results indicate that AI groups’ spending did not overcome the broader Democratic gains in competitive races. Bores is now seeking to raise $30 million before 2028 through his new nonprofit, Who Decides.

Reported by Fortune, Wired, TechCrunch.

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