So, there’s this quiet hum in the programmatic world. Not the usual frantic, data-drenched buzz, but something more deliberate. It’s the sound of AI agents, not just assisting, but doing. We’re talking about the gritty, algorithmic work of bidding, of creative testing—tasks that used to demand bleary-eyed analysts and endless A/B tests. And then there’s the other side, the wary guard, the human touch that insists on keeping the brand’s soul, its humor, its very essence, untainted by purely computational directives.
Duluth Trading Company finds itself precisely in this fascinating liminal space. They’re not just dipping their toes into the AI waters; they’re letting agents swim laps in the bidding pool. “AI can get you to the finish line and you get to spend all your energy crossing the finish line,” says Ellie Uberto, director of marketing at Duluth, her words echoing from the Digiday Podcast stage. It’s a pragmatic embrace, a recognition that efficiency has its own power.
This isn’t about if AI belongs in the programmatic workflow anymore. That debate feels almost quaint. The real question now is how much autonomy these agents wield. For Duluth, it’s a clear division: let the bots handle the heavy lifting of bidding and creative iteration. The complex dance of brand voice, the specific brand of humor that makes Duluth… well, Duluth, that stays human. It’s an architectural decision, a deliberate partitioning of labor.
The agency partner, a nameless entity in this narrative, is the conduit. They’re the ones entrusted with the keys to the agentic bidding kingdom. Uberto isn’t focused on the precise prompts being fed to the AI, or the specific models being deployed. Her eyes are on the strategic prize: how this automation frees up her team to actually think about strategy, rather than getting bogged down in the Sisyphean tasks of deck-building and endless reporting.
This approach, while articulated as cautious, might actually put Duluth ahead of the curve. Other major players, like Bayer, are still holding back. Glenniss Richards, senior director of digital media activation at Bayer, voiced a common concern: AI’s current inability to capture the human nuance. “It’s making us quicker, faster, certainly more agile, giving us data to digest, consume and inform our media campaigns. But it’s not owning or controlling our campaigns,” she stated. It’s a classic tension: the speed and scale of machines versus the subtle intuition of humans.
But the ground is shifting. The conversations at Digiday’s Programmatic Marketing Summit hinted at an acceleration beyond just brainstorming summaries. Amazon, for instance, is touting its data-rich inventory, specifically NBA and NFL access, as a balm for marketer wariness during upfront negotiations. It’s a play for trust, leveraging existing assets in a new, AI-adjacent paradigm.
Here’s the unique insight: This isn’t just about efficiency gains. This division of labor is, in effect, a sophisticated divestment of execution burden and a reinvestment in strategic ownership. Duluth isn’t just outsourcing tasks; they’re architecting a new workflow where AI handles the ‘how’ at the granular level of bid optimization and iterative creative testing, while humans exclusively own the ‘why’ and the ‘what’ – the brand’s narrative core. It’s a model that, if executed well, could become the de facto standard for brands navigating the AI-powered future of advertising, allowing for both hyper-optimization and authentic brand expression.
Where’s the Line for AI in Advertising?
What’s becoming clear is that the debate isn’t about replacing human marketers entirely, but about redefining their roles. It’s about offloading the statistically predictable, the algorithmically optimizable, to machines. The areas that require genuine empathy, cultural understanding, and a deeply ingrained sense of brand identity—these are the bastions of human oversight. The challenge for companies like Duluth and their agency partners lies in defining these boundaries with absolute clarity, ensuring that the AI agents are powerful tools, not unchecked overlords.
The Agency’s Role in the Age of Agentic AI
This dynamic places a significant premium on the agency’s understanding of the client. Uberto’s comfort stems from her agency “knows us very well.” This isn’t just about campaign parameters; it’s about cultural alignment. Agencies that can demonstrate this deep client intimacy will be the ones best positioned to manage AI agents effectively, translating client brand ethos into AI-executable strategies without losing the narrative soul. The risk, of course, is that an agency might not truly grasp the client’s brand nuance, leading to AI-driven campaigns that are efficient but soulless—a digital ghost of a brand.
This careful calibration of AI’s involvement in programmatic advertising, as demonstrated by Duluth, suggests a maturing understanding of automation’s capabilities and limitations. It’s a pragmatic approach that prioritizes strategic oversight while embracing computational power for tasks where it excels. As AI agents become more sophisticated, this delicate balance will be key to unlocking their full potential without sacrificing the authentic human connection that defines powerful brands.
The Human Element
“We’re comfortable with it because we know that our agency knows us very well,” Uberto told Digiday. “They understand what our goals and objectives are. They understand all the different pieces that our marketing needs to hit.”
This sentiment underscores a fundamental truth: trust, built on deep understanding, is the bedrock upon which these new AI-driven workflows must be built. Without it, efficiency gains will always be overshadowed by a gnawing sense of unease.
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Frequently Asked Questions
What does agentic media buying mean? Agentic media buying refers to the use of AI agents that can autonomously perform tasks within the media buying process, such as bidding on ad inventory, optimizing creative elements, and making strategic decisions based on predefined parameters and real-time data.
Will AI replace human marketers in advertising? While AI will automate many repetitive and data-intensive tasks, it’s unlikely to replace human marketers entirely. Human skills like strategic thinking, creativity, brand storytelling, emotional intelligence, and understanding complex cultural nuances remain critical and are difficult for AI to replicate. The trend is towards humans working alongside AI, focusing on higher-level strategy and oversight.
How does Duluth Trading Company use AI? Duluth Trading Company uses AI agents for tasks like bidding on ad inventory and managing creative iteration. However, they maintain human oversight for brand storytelling, humor, and overall brand ethos, indicating a hybrid approach that use AI for efficiency while preserving core brand identity with human decision-making.
