THE FUTURE OF MARKETING / 2015 → 2026
Eleven years ago, I gave a talk called The Future of Marketing. Some of it was right. Some of it was wrong. What I got wrong taught me more than the parts I got right.
That is not false humility. It is the useful lesson.
In 2015, the talk was built around three words: Mobile. Millennial. Measurable. I was trying to understand how technology, changing customer behavior, and accountability would reshape marketing.
The title did not age well. Mobile became infrastructure. “Millennial” was a moment-specific label. And marketing did not become simply more measurable; privacy changes and platform complexity made proving causality harder in important ways.
But underneath those changing carriers, something held.
Watch the original 2015 talk
The complete recorded talk: The Future of Marketing.
The carrier changes. The marketing problem remains.
In the original talk, I described a future in which businesses that showed up in recommendations would make the money. At the time, I was talking about emerging interfaces, local discovery, and what might happen when technology got closer to the buyer.
Today, the interface is different: search, conversational AI, recommendation systems, feeds, agents, and platforms that can compare choices before a human ever reaches a website.
The underlying question is the same: when a buyer needs an answer, does the market have enough reason to recognize, trust, and recommend you?
That is why the lesson is not “I predicted the future.” The lesson is that it is dangerous to confuse a carrier with the durable mechanism underneath it.
What survived
Technology changes the way marketing is delivered. It does not remove the work of marketing.
- Attention is still scarce.
- Buyers still try to reduce risk.
- Positioning still affects choice.
- Proof still affects trust.
- Offers still affect response.
- Marketing investment still has to answer to the business.
These are not old tactics to defend against new technology. They are the practical constraints that tell us how to use new technology without letting it run the business.
The measurement lesson
One of the biggest misses in the 2015 talk was the simple idea that more data would make marketing more measurable. We got more data. We did not automatically get better causality.
That correction matters now. More dashboards, more content, more campaigns, and more AI output do not prove that marketing is working. They can just make it easier to confuse activity with progress.
Serious marketing still needs a business objective, a clear market, a specific offer, credible evidence, a way to verify what happened, and the discipline to change course when the evidence says the work is wrong.
Before you automate, make sure you are automating the right thing.
That lesson did not begin with AI. It goes back to the early database work that taught me a simple truth: building the wrong system efficiently is worse than moving slowly long enough to understand the problem.
AI raises the stakes because it makes execution cheap. A team can now create more than ever. The question is whether it is creating the marketing the business actually needs.
Your marketing team has AI. Now what?
That is the current question. The answer is not more prompts. It is a better operating model—one that keeps sound marketing judgment above rapidly changing tools.
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