Here's a prediction I'd put real money on.
By 2027, the digital marketing agency world will have quietly split into two camps. Not because of a single big shift — those almost never happen in agency land — but because of a thousand small choices being made right now, in 2026, about how to use AI inside real client work.
The agencies making those choices well will pull ahead. The ones making them badly will look fine for another year or two, and then they won't.
From inside the work, here's how I see the split shaping up.
Camp One: agencies that treat AI as a tool
Camp One is the boring one to describe, which is why most people miss it. These agencies have figured out where AI earns its place inside real client delivery — and equally important, where it doesn't.
They use AI for research, first drafts, competitor scans, the unglamorous prep work that used to eat a junior team's week. They use it to compress the parts of the job that don't require judgment. Then they stop.
The strategy still happens with humans. The client relationships still happen with humans. The decisions about what to actually do for a specific business in a specific market still happen with humans. The execution is faster, the margins are better, but the parts of the work clients pay real money for are still — visibly, deliberately — built by people who can defend the choices they made.
Camp One agencies don't talk about AI much in their marketing. They use it. It's a tool. You don't put your hammer on the website.
Camp Two: agencies that treat AI as the strategy
Camp Two is the camp that's everywhere on LinkedIn right now, which is part of the problem.
These agencies handed too much over too fast. AI writes the content. AI plans the campaigns. AI generates the visuals. The team is smaller — sometimes dramatically smaller — and the cost of producing a piece of marketing has collapsed.
Sounds great on a margin spreadsheet. Looks different on a client report.
The work starts looking like everybody else's, because everyone's using the same models trained on the same data producing the same patterns. The campaigns become technically competent but strategically thin. There's nothing for the client to point at and say "this is why we hired these people instead of the agency down the road."
Camp Two agencies will compete on volume and price, because volume and price are the only levers left when the work isn't distinctive. Their good clients will leave first. Their remaining clients will negotiate harder. Their margins will get worse, not better, despite the lower production cost.
A third group, smaller but worth mentioning
There's a third group that doesn't get talked about much: agencies that have refused to engage with AI at all. They'll still exist in 2027.
They'll just be slower than Camp One on identical work, more expensive than Camp Two on identical work, and increasingly hard to defend on price in a pitch meeting. Survival, not success.
This is the group I have the most sympathy for and the least optimism about. Their instinct — that AI is being oversold and that craft still matters — is correct. Their conclusion — that the right response is to ignore the tools entirely — isn't.
Which camp wins?
Camp One. It's not even close. And the irony is that Camp One's advantage doesn't come from being better at AI than Camp Two. It comes from knowing what AI isn't good for.
That judgment is the entire game. Knowing when a first draft is good enough to ship and when it needs a complete human rewrite. Knowing which client conversations can be prepped with AI research and which need you to actually sit and think. Knowing which deliverables benefit from the speed and which lose their reason for existing if they're produced too quickly.
That kind of judgment doesn't come from a prompt library. It comes from years of doing the work, learning what clients actually pay for, and being honest about where the value sits inside a project. That's why Camp One agencies are usually the ones with the most experience, not the most enthusiasm.
The fundamentals haven't moved
Here's the part that gets lost in every conversation about AI changing marketing: the marketing fundamentals haven't moved an inch.
Clear positioning still wins. Content that answers real questions still wins. Systems that compound over time still win. Trust built through consistency still wins. None of that changed because some tools got faster.
What changed is how fast you can produce the work around those fundamentals. Speed got cheaper. Strategy didn't. And in a world where speed is suddenly free, strategy is the only differentiator left.
This is the part Camp Two agencies are about to learn the expensive way. When everyone can produce decent-looking work cheaply, "decent-looking" isn't a service offering anymore. It's a commodity. The agencies that will still command real fees in 2027 are the ones offering the part of the work that can't be commoditised — the judgment, the strategy, the relationship, the decisions.
So what should you actually do?
If you run an agency in 2026 and you're trying to play this right, the question isn't "how do we use more AI?"
The question is: where in our workflow does AI genuinely help, and where would using it actively hurt the work?
Get that answer right and you're already in Camp One. Get it wrong — by leaning too hard or by refusing to lean at all — and you're heading for the camp where the next few years get steadily harder.
This isn't a forecast that requires anything dramatic to come true. It's already happening. The split is underway. Most agency owners don't yet realise which camp they're walking into, because for now both camps look fine.
By 2027, that ambiguity will be gone.
If you run an agency and you're trying to figure out where AI genuinely earns its place in your workflow — and where it shouldn't — that's exactly the kind of conversation I find myself having most weeks. I help agencies and businesses work out what they actually need, and my team at Clazzo Innovations handles the execution side.
