Agentic AI for Marketing and Creative Agencies
Vishal Sachar
Co-Founder & CEO of CLRT
The fear in every agency right now is that AI commoditises creative. It is half right, and the half it gets wrong is the half that matters. AI did not lower the quality of creative work. It made average creative free, and everything above average is now the entire business.
Look at what actually happened. The model can produce a competent ad, a serviceable post, a passable first draft of almost anything, instantly and at no cost. That is the average, and the floor has fallen out from under it, because a client can now generate the average themselves without you. What the model cannot do is know which idea is worth making, whether the thing in front of it is actually good, or what a brand should sound like in a moment that has never happened before. That is taste and strategy, and it just became the only defensible ground in the business.
So the agencies in real danger are the ones that were quietly selling production by the hour, the execution, the volume, the making of things. That model is being competed down to zero. The agencies that thrive are the ones that sell judgment, the brief, the strategy, the taste to know what is worth producing and the discernment to kill what is not, and use AI to produce against that judgment at a scale they could never staff.
There is a second shift underneath, and it changes the craft itself. Creative was always rationed by production cost, so you bet on one big idea because you could only afford to make one. Remove the cost and the game changes from a single expensive bet to a portfolio of cheap experiments. The agency that learns to test twenty variations instead of perfecting one will out-learn the agency still polishing its single guess.
The average is free now. Taste is not. Sell the judgment, and let the machine make the things.
A deeper dive
The production jobs, drafting copy, generating variations, repurposing one asset into ten formats, are judgment-laden in output but low-stakes per item, which changes how you verify them. You are not checking each one for correctness, you are applying taste, a human reviewing for brand fit and quality rather than fact. The reporting jobs, campaign performance, channel analytics, are the opposite, verifiable against a source and safe to automate with a light audit. The move that separates a serious agency from a prompt-happy one is encoding its taste so the volume stays on-brand: the brand voice, the dos and don'ts, the reference work, written down as instructions the agents read on every task (the mechanism in Agent Skills), so consistency scales instead of degrading. And the portfolio insight has a real method behind it: when variations are nearly free, you generate many, test cheaply, and let the data tell you which idea was right, which means the agency's edge shifts from guessing well once to learning fast across many cheap bets. The human still owns the brief, the strategy, and the final taste call. Everything below that line is production, and production is now the machine's job.
Work with CLRT
The agencies that win sell the taste a client cannot prompt, and let the machine handle the making. CLRT helps creative firms encode their judgment, automate production, and shift the business above the line where the value now lives. Let us look at where your revenue actually sits.
Vishal Sachar
Vishal Sachar is the Co-Founder and CEO of CLRT, where he helps UAE businesses make sense of applied agentic AI and put it to work. He writes on agentic systems, AI governance, and the economics of automation. Reach him at vishal@clrtstudio.com or on LinkedIn.
