Programmatic advertising has always run on algorithms. A new IAB Europe study makes clear the next shift is different: moving from AI that optimizes campaigns to AI that can buy and sell media with limited human oversight.
The gap between optimization and autonomy
In its 2026 study, IAB Europe found that 86% of 50 respondents use AI for marketing. But among the 29 asked about specific advertising workflows, the numbers split: 59% selected programmatic optimization and 55% media planning and strategy, while agentic buying and selling ranked lower at 38%.
The distinction matters. Optimization works inside rules a trader can still see and adjust. Agentic trading gives a system authority to plan and execute transactions, with varying degrees of human approval. That is a bigger governance step, and the survey suggests the industry has not fully taken it.
Adoption is ahead of control
Expectations are also ahead of deployment. Asked about the next 12 months, 30% expected agents to become a main buying method in some markets, 28% anticipated regular use without that scale, and 18% expected little day-to-day use. No forecast won a majority.
Human oversight remains the default. Of 47 respondents answering a question about autonomy, 36 reported either no everyday agentic system or one at the first two levels, where people direct the agent or plan alongside it.
- 78% of the full sample had identified an AI governance owner.
- Only 48% had marketing-specific AI guidelines.
- Among those providing training, fewer than a quarter covered checking autonomous actions and knowing when to intervene.
Proof of performance is still mixed
Respondents who rated AI in current ad operations gave an average score of 2.76 out of five. Among 29 asked how they evaluate AI tools, 69% selected operational efficiency and 48% CPM improvement. Only 21% chose better audience quality or targeting accuracy, and 3% selected fill rate or yield. Time saved and lower media costs are easier to show than a sustained improvement in what an auction earns.
Google’s bidder floors bring control back into focus
The same control question now reaches the supply side. A recent LinkedIn post from MonetizeMore drew attention to a newly documented Google Ad Manager option to set price floors for specific programmatic bidders. The post frames it as the return of a lever publishers lost when Google introduced unified pricing rules in 2019.
Google’s current instructions show how to select individual bidders in a pricing rule. The practical warning is to calculate against net publisher revenue: Google’s own example says a $1 bid under an 80/20 revenue split is tested as $0.80 after Google’s share. Publishers debating the feature should ask whether a floor pressures selected buyers or rewards demand sources they value, and whether the effect is visible without suppressing worthwhile bids.
What marketing teams should do
For marketers and publishers alike, the study points to three moves. First, name who owns AI decisions and write marketing-specific rules instead of relying on a general governance owner. Second, train teams to check autonomous actions and know when to intervene. Third, measure outcomes that matter, including audience quality and yield, not only operational efficiency.
Source: Digiday
