I do not think AI kills the agency.
I think it forces the agency to explain what the client is actually paying for.
The old bundle
An agency used to bundle several things together because the client could not easily separate them.
Strategy. Taste. Labor. Tools. Project management. Expertise. Access to specialists. Reporting. Accountability.
You paid one retainer and received the bundle.
That made sense because producing the work itself was expensive.
A piece of content needed a writer. The writer needed an editor. Ads needed a media buyer. Websites needed developers. Research required hours. Reporting required someone to assemble it.
AI attacks the labor portion of that bundle first.
This is uncomfortable for agencies for a good reason
If a client discovers that an hour of billed production can now be completed in ten minutes with the same quality, the agency has three choices.
Hide the efficiency.
Lower the price.
Or move the value somewhere more defensible.
I think the third answer is the real one.
Judgment becomes more valuable when production gets cheap
When anybody can make twenty ads, choosing the right message matters more.
When anybody can generate fifty article drafts, knowing what the market actually needs matters more.
When pages are cheap, architecture matters. When research is cheap, interpretation matters. When campaign setup is cheap, knowing where to put the money matters.
The agency should become less valuable as a factory and more valuable as a decision system.
But there is another category between software and agency now
Traditional SaaS gave the client tools and expected somebody to operate them.
Traditional agencies operated the tools for the client.
AI systems can increasingly operate pieces of the workflow themselves.
That creates a middle layer I find much more interesting than the "agency versus software" debate.
At YG3, we are building marketing infrastructure that can carry execution across the business while still leaving room for an agency, operator or owner to direct it.
The goal is not to eliminate agencies. In fact, agencies use it.
The goal is to stop charging human attention for work the system can reliably carry.
The small agency may get stronger
This is the counterintuitive part.
A five-person agency has historically been constrained by production capacity. Every new client creates more pages to build, more campaigns to monitor, more reports to assemble and more routine work to coordinate.
If software absorbs enough of that execution, the agency can grow without reproducing the org chart of a fifty-person firm.
That makes relationships, taste and domain expertise more—not less—important.
The small agency can stay small in headcount while becoming much larger in capability.
What I would pay an agency for
I would pay for someone who sees something I do not.
I would pay for judgment earned from doing this a hundred times.
I would pay for creative taste.
I would pay for access to a distribution channel or community.
I would pay for accountability when an important outcome needs an owner.
I would pay for somebody who understands my business well enough to tell me that the thing I am asking for is the wrong thing.
I would be less excited to pay premium rates for moving information between dashboards.
The agency survives by becoming more itself
Microsoft's 2026 work research argues that as agents take on more execution, humans move toward directing, supervising and owning outcomes.
MICROSOFT WORK TREND INDEX · 2026 · AGENTS AND HUMAN AGENCY
I think the same thing happens at the firm level.
The best agency of the next decade is probably not the one with the most people producing assets.
It is the one whose judgment creates the most value per person.
AI does not remove the agency.
It removes the excuse for the agency to be a labor arbitrage business.
