Less how-to, more why. Seven essays on what AI is doing to marketing work, where leadership keeps getting it wrong, what taste is worth once pattern work gets cheap, and what gets lost when the people who care most are the first ones automated away.
AI clones any output. It cannot clone the judgment that decided what to leave out. Why taste is the only durable moat once pattern work gets cheap, why that is good news for people, and the habits that make work AI cannot reverse-engineer.
I believe people are the whole point of everything. That's why. The AI conversation has two camps that hate each other and agree on the wrong thing. The position both refuse to make space for, and what "using AI well" actually looks like in practice.
What gets lost when "good marketing judgment" gets reframed as "good prompts." A defense of the part of the work that doesn't translate into instructions.
Why most AI-in-marketing failures are leadership failures wearing a tooling costume. What changes when the operator running the prompts is the same person making the strategic call.
The shape of the hole AI is leaving in marketing teams isn't where you think it is. It's not the writing. It's the bit where someone says "wait, that's wrong" and means it.
The framing argument for the whole project. Why "Claude as a teammate" gets it backwards, and what changes when you treat AI as plumbing rather than personnel.
Marketing didn't get easier with AI. It got noisier. Every team that automates without judgment pays a tax: in trust, in noise, in the time their best people spend cleaning up the slop. The tax is real, and most marketing leaders are still pretending it isn't.