Shownotes
Todd and Kelly debate a widely discussed case study claiming an “agentic media buy” bypassed the DSP to reduce supply-chain costs and shift more budget into working media.
They address what DSPs actually contribute, why headlines about “cheaper and faster” can be misleading, and how cost savings often reappear elsewhere in the ecosystem.
The conversation moves from the mechanics of media buying to the human realities of capacity, burnout, and talent costs. They ultimately frame agentic workflows as an evolution that may remove entry-level tasks while increasing the premium on senior talent, strategy, and decision-making.
Chapters:
- (00:00:00) Opening and why “agentic media buying” is getting hype
- (00:02:30) The case study claim: bypassing the DSP and reallocating fees to working media
- (00:05:20) What a DSP actually does and why it's not “inherently bad”
- (00:08:10) Why “savings” rarely stay savings: value shifts and someone monetizes it
- (00:11:40) Agency economics: fee pressure, utilization, and the race to the bottom
- (00:16:00) The human constraint: focus, burnout, and “AI brain fry”
- (00:20:10) What agentic systems may automate (setup, trafficking) vs. what stays human (judgment)
- (00:24:40) The risk of paying less and getting worse, and why “better outcomes” should be the goal
- (00:31:50) Where this goes next: evolution, talent getting more expensive, and the entry-level gap
Links and Resources:
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