What should a CMO or VP of Marketing actually know about AI right now?

The knowledge that matters for a CMO or VP of Marketing falls into three areas: capabilities, limitations, and organizational fit.

On capabilities, you should know what types of tasks AI handles well right now. Content generation, research synthesis, data transformation, and repetitive analysis are strong use cases. AI can draft, summarize, reformat, and process information at scale. It can also work with your existing data sources and marketing tools when set up properly. You don't need to know how large language models are trained, but you should understand that modern AI agents can use tools, access knowledge bases, and execute multi-step workflows (not just answer one-off questions in a chat window).

On limitations, you need a realistic picture of where AI still requires guardrails. It can hallucinate facts, miss nuance in brand voice, and produce inconsistent results without proper structure. Outputs require human review, especially for anything customer-facing or legally sensitive. Understanding these constraints helps you set realistic expectations with your team and your leadership peers.

On organizational fit, the most important question is where AI creates leverage for your specific team. That means looking at your current workflows, identifying where your team spends time on repeatable tasks, and understanding which processes could benefit from AI augmentation. You also need enough context to evaluate vendors, ask the right questions about data security and governance, and recognize when a tool solves a real problem versus when it's a solution looking for one.

You don't need to prompt models daily or build agents yourself. But you do need enough working knowledge to lead the conversation, set direction, and recognize when your team is ready to move from experimentation to structured adoption.