Will AI Lead To Smaller Agency Teams Or More Ambitious Work?
This gets framed as a single question with a single answer, and it isn't one. AI frees up capacity. What an agency does with that capacity is a choice, not a forecast.
The debate usually gets set up as a binary: either AI shrinks agency headcount because fewer people are needed to produce the same output, or it lets existing teams take on more ambitious work because the same headcount can now do more. Both outcomes are already visible in the industry at the same time, which is the clearest evidence that the technology itself is not what decides the answer. The decision sits with agency leadership, and different leaders are making very different calls with the same tools.
The shops choosing smaller teams
Agencies under margin pressure, particularly those competing mainly on production-heavy scopes rather than strategic value, are using AI primarily to cut cost. That is a rational short-term decision for a business whose main lever has always been headcount against hours billed, and it shows up as smaller production and account teams doing roughly the same volume of routine work they did before, just with fewer people. It is not a wrong choice for that kind of business. It is a choice that treats AI purely as a cost tool rather than a capability tool.
The shops choosing bigger ambition
Other agencies, generally the ones already positioned around strategic and creative value rather than production volume, are using the same freed-up capacity to take on more ambitious briefs with the same or similar headcount: more campaign variations tested before launch, deeper strategic exploration before a creative direction is locked, category and market expansion that would previously have needed more people to attempt. These agencies are not smaller. They are the same size, doing work that would have needed a noticeably larger team two years ago.
AI is not a headcount decision. It is a capacity dividend, and every agency is choosing what to spend it on.
Why the choice matters more than the technology
The agencies that will look strongest by the end of the decade are unlikely to be defined by which of these two paths they picked in isolation, since both can be defensible depending on the business. They are more likely to be the ones who made the choice deliberately, understanding what kind of agency they are trying to be, rather than drifting into smaller teams simply because it was the easiest short-term use of a new tool. AI created the capacity dividend. What each agency spends it on says more about that agency's ambition than it says about the technology itself.