Artificial intelligence is significantly reducing the cost of political advertising, enabling campaigns to produce attack ads, memes, and targeted messages at a pace that was previously prohibitively expensive. Campaign operatives now use generative AI to create in minutes or hours what once required days of work by teams of writers, voice talent, and production crews. This shift is transforming political creative from a high-value asset into affordable, disposable content, allowing candidates and outside groups to increase the volume of messages reaching voters.
Despite the surge in production capabilities, the impact of AI-generated content on election outcomes remains unclear. While the technology allows for greater output and cost efficiency, industry experts caution that the core objective of political advertising—communicating a persuasive message—still requires strategic oversight. The debate centers on whether the democratization of high-quality ad production tools leads to electoral success or merely contributes to voter saturation.
What the Left Is Saying
Democratic strategist Chris Moyer stated that AI provides campaigns with more tools for less cost, effectively democratizing resources that previously required significant financial investment. Moyer noted that candidates with smaller budgets can now access production capabilities that were once reserved for well-funded organizations, potentially leveling the playing field in terms of message reach.
The progressive perspective emphasizes the accessibility of these new tools, suggesting that AI integration allows grassroots campaigns to compete more effectively with established political machinery. By lowering the barrier to entry for professional-grade advertising, Democratic operatives argue that AI helps amplify voices that might otherwise be drowned out by larger spending disparities.
What the Right Is Saying
Veteran Republican consultant Jesse Hunt highlighted the economic and creative advantages of AI, stating that the technology allows for the production of more content in varying styles at a lower cost. Hunt’s comments reflect a view among conservative operatives that AI is a necessary tool for maintaining competitiveness in the modern media landscape.
Will Ritter, a Republican ad maker and co-founder of the agency Poolhouse, observed that his firm moved from minimal AI use in the last cycle to incorporating AI components in most ads. Ritter argued that while the technology is impressive, success depends on knowing how to use the tools effectively. He emphasized that the goal remains to communicate a message efficiently, not to showcase visual technology for its own sake.
What the Numbers Show
Ad-tracking firm AdImpact identified 29 campaign ads in federal and gubernatorial contests that explicitly disclosed the use of AI content as of two weeks prior to the report. In contrast, the Wesleyan Media Project, which includes ads without AI disclosures, identified at least 164 AI-influenced ads during the current cycle. This discrepancy suggests that a significant portion of AI-generated content is not being transparently labeled by campaigns.
Regulatory oversight remains fragmented. Thirty-one states have enacted laws regulating political deepfakes, defined as AI-generated audio or video that makes a person appear to say or do something they did not. However, the Federal Election Commission (FEC) has not implemented any specific rulemaking regarding AI in elections. Campaigns across the country, including those for New York Representative Mike Lawler, have reported spending on AI technology vendors in their FEC disclosure reports.
The Bottom Line
The integration of AI in political advertising is accelerating, with campaigns increasingly viewing the technology as essential for productivity. Ciro Riccardi, a top campaign adviser for Representative Mike Lawler, stated that any campaign failing to utilize legitimate tools for improvement would be foolish. Riccardi noted, however, that Lawler’s 2026 re-election team spends more on volunteer logistics than on AI tools, indicating that while adoption is growing, it may not yet dominate campaign budgets.
The effectiveness of AI ads in securing votes is still being tested. A notable example occurred in Massachusetts, where gubernatorial candidate Brian Shortsleeve released an AI-generated radio ad featuring a synthetic voice of Governor Maura Healey. The ad attributed comments about electricity rates and climate fees to Healey, a statement she did not actually make. While the ad generated significant attention and initially boosted Shortsleeve’s profile in the Republican primary, he was defeated in the September primary by Mike Mi, suggesting that viral AI content does not guarantee electoral victory.