What changes in the work.
Demand targeting driven by signal instead of blast; content built to be cited by answer engines (AEO), not just ranked; RevOps clean enough for AI to act on; enablement that makes reps faster. Same mandate, sharper engine.
Not a data-science hire.
An AI-native CMO/CRO is a revenue operator, not an engineer. The value isn't building models — it's knowing which part of the go-to-market motion AI belongs in, and integrating it so it ties to pipeline. If someone's pitching architecture diagrams instead of pipeline, that's the wrong hire.
The AI is a capability, not a title.
One operator, one number.
The CMO-versus-CRO distinction matters less than the accountability: one operator owning marketing and revenue against pipeline. CMO leans brand and demand; CRO leans full revenue; the AI-native part is the same either way — integrate AI into the motion.
Do you need one?
- ✓You have a strong product and underbuilt marketing.
- ✓The board is asking about AI — and you owe them an answer.
- ✓Your pilots aren't reaching pipeline.
If that's you, you don't need a lab — you need an operator who can put AI into the motion you already run. That's AI transformation on the revenue side.
"AI-native" is doing a lot of work on LinkedIn.
Most of it means "uses ChatGPT." The version that matters is boring and hard: integrating AI into the revenue motion so a CFO can see it in pipeline. Ask for the pipeline, not the prompt library.