Political advertising is completely unrecognizable from past generations’ expectations of whistle stops and seasonal local TV buys. The always-on nature of politics in an era of intense polarization, razor thin margins in Congress, and now the influence of artificial intelligence tools requires flexible open architecture that integrates multiple data partners, verification tools, and measurement systems to adapt quickly when regulations change or platforms adjust targeting capabilities during election cycles.
“Political campaigns and teams can’t really afford to be locked into a single workflow identity solution or reporting system,” Erica Monteith, partner at politics-focused agency GMMB, told Beet.TV editorial director Lisa Granatstein. “Open architecture really allows us to integrate multiple data partners, multiple verification tools and measurement systems that ensure that we’re able to adapt and shift quickly if needed.”
This flexibility becomes critical as every election cycle introduces new regulations or platform targeting adjustments that require rapid operational pivots.
AI tightens feedback loops
AI accelerates testing and iteration processes that political campaigns have always relied upon, enabling faster generation and evaluation of creative variations through synthetic audiences and more reliable pivot decisions.
“The biggest shift in how political advertisers are using premium video right now is really tightening that feedback loop between creative audience insights and media optimizations across a really fragmented premium video environment,” Monteith said. “It’s not just speeding up that process, but it’s also helping the quality of our decision making.”
Traditional real-time pivoting capabilities now operate with enhanced speed and data reliability backing strategic shifts.
Automation reduces friction
Agentic buying on platforms like FreeWheel shifts team focus from execution toward decision-making, message strategy, compliance, and rapid response as workflows become automated, though political media cannot rely on fully autonomous systems, Monteith noted.
“The biggest impact is really reducing that executional friction. As those workflows are becoming more automated, teams can focus less on execution and more on decision making,” Monteith said. “In political media, it just carries too much reputational and regulatory risk. When something goes wrong, there isn’t a lot of time to correct it.”
Human oversight remains essential for strategy, creative development, and decision-making despite execution improvements.
Judgment drives persuasion
AI assists with modeling, creative versioning, and experimentation acceleration but cannot serve as final authority for campaign messaging, targeting decisions, or crisis response strategies that require cultural context understanding.
“Human judgment remains essential anywhere there’s persuasion, risk, or public trust involved,” Monteith said. “Political messaging in particular really requires understanding of tone, cultural context, and those second order effects.”
Humans excel at recognizing when technically efficient approaches may lack strategic soundness or appropriateness for specific situations.
Superhumans at scale
AI already changes significant portions of premium video planning through audience modeling, signal analysis, improved data quality, and pacing optimization built into current workflows, though fragmentation and inconsistencies persist.
“It’s already changing large parts of it, particularly around the workflow when it comes to audience modeling, signal analysis. We’re getting so much better data and pacing optimization,” Monteith said.
While effective for augmenting decision-making, AI does not replace human judgment in managing fragmented video ecosystems.
“I still think humans-plus-AI are creating superhumans that can then scale. That’s really where we are and how AI is helping us make a difference,” Monteith said.
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