Media Buying Briefing: Overheard at DMBS Spring 2026: AI from the top to the bottom of agencies
Briefly

Media Buying Briefing: Overheard at DMBS Spring 2026: AI from the top to the bottom of agencies
"Often senior [marketing] leadership will say, can AI make our creative? And they don't really understand what's going into that. Or they'll ask why can't we turn on these Meta Advantage Plus enhancements, which everyone knows look like shit ... They're going to summits and conferences for CMO levels, where they're hearing about this kind of stuff, and they're like, oh we should do that. But then they come back and they don't understand kind of the labor involved, or the problems that some of these tools are creating."
"Our leadership is all about AI, and has actually really built out a great integration into our system. What I've noticed, though really quickly, is the adoption dropped. We now have this powerful tool that can do anything, make you better, faster, smarter, more efficient. But it's too big for people to understand at the same time, and so nobody's figuring out how to use it, as weird as that sounds. So it's either they're too much all about it or they have no idea how to use it."
Media agencies face significant challenges integrating AI systems into their workflows. Leadership often lacks understanding of AI's actual capabilities and limitations, requesting AI-generated creative without comprehending the underlying complexity. While some agencies have built robust AI integrations, adoption rates have paradoxically dropped because tools are too complex for teams to understand and utilize effectively. The disconnect between creative teams and media planners compounds these issues, as creative development occurs without awareness of media buying challenges. Agencies struggle to find balance between over-enthusiasm for AI and practical implementation, with no clear solutions yet emerging for effective AI adoption and cross-functional collaboration.
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