For most of the last two years, the marketing conversation about AI has been about production: more copy, more variations, more images, faster. That matters, and I use those tools every week. But it is the least interesting part of what is happening.
The bigger shift is that AI is starting to act. Agents research purchases, compare options, draft decisions, and increasingly complete tasks for the people they serve. When that happens at scale, the audience a brand needs to earn trust from is no longer only a person. It is also the system working on that person’s behalf.
An AI is only as useful as what it can reach
A model on its own is a brilliant mind in a sealed room. Its value comes from what it can reach: accurate information, permissioned data, real services, and the ability to take an action and verify the result. Much of the next decade of technology will be about building that reach — the connectors, protocols, and agent infrastructure that let AI extend beyond itself into the world.
For marketers, this changes the question. It is no longer just “How do we show up in a search result?” It is “When an agent is asked to find the best option, can it understand us, verify our claims, and act on them?” Clear, structured, honest information becomes a growth channel.
Privacy is the brand promise
Reach cuts both ways. The more an AI can do for someone, the more it knows about them. I believe the organizations that earn long-term trust will be the ones that treat privacy as a product feature rather than a compliance obligation: collecting less, keeping data closer to the person, and being explicit about what is used and why.
Privacy-preserving intelligence — systems that can help people without exposing them — is not a constraint on growth. It is going to be the reason people choose one brand’s assistant, app, or service over another.
What leadership should do now
Three things feel urgent to me. First, make your organization legible to machines: consistent facts, structured data, and claims you can back up. Second, put AI to work inside the marketing function with real measurement, so the team learns by doing rather than by reading. Third, decide now what your organization will and won’t do with the data these systems generate, and say it publicly.
The brands that win the agent era will be the ones both people and their AI can trust.
That is, in the end, the same job marketing has always had. The audience is just getting bigger.