At this point virtually every MarTech and Digital vendor has rushed to add AI and Agentic features to their roadmaps and offerings. As the dust settles, MarTech leaders are left with stacks cluttered with overlapping features, clouded value, and potential cost escalators.
Every year, we highlight trends that we're observing in the areas we follow. Here are six trends that we think you should have on your radar in 2026 and beyond.
Over the past year, I’ve had dozens of conversations with marketing and digital leaders about generative AI. The pattern is remarkably consistent. The promise was clear: cheaper content, faster production, more personalization, more scale. And to be fair, the technology absolutely delivers on capability. But many enterprise Content AI initiatives aren’t accelerating.
Of all the platforms in a large-enterprise MarTech stack, CDPs have always engendered the most debate. What specific services make sense at that tier? How should CDPs fit into a modern architecture? Who should own and run the platform? What's the impact of AI?
In this third post in our series, From Agentic Pilot to Production, we look at why AI Agents hallucinate.
Salesforce Marketing Cloud remains a cornerstone for many enterprises. But last week’s disruption is a reminder that legacy gravity has real operational consequences.
In this second post in our series, From Agentic Pilot to Production, we look at the probabilistic nature of LLMs, the issues that can result for marketing leaders piloting Agentic AI, and how to add determinism in prompts to mitigate.
Join me March 18-19 at DAM Los Angeles 2026, a Henry Stewart Event.
Learn what Content AI Fit Maps are (and why they matter) -
“Hallucinations” has become the catch-all explanation for why GenAI sometimes makes things up. Lately, the industry has started using a more precise term: confabulation, the act of filling in missing information with something plausible, but wrong.
The MarTech Stack Leadership Council exists to give senior enterprise leaders a space to think more clearly about the technology, content, data, and operating models shaping modern marketing, content, and digital experience stacks. We have two upcoming Council meetings that we invite you to consider.
Archetypal DAM and CMS vendors will not get you to a truly AI-enabled stack.
The DAM framework identified four distinct maturity stages: DAM 1.0, 2.0, 3.0, and 4.0. Each represents a different way of managing, activating, and learning from digital assets as organizations evolve from storing content to intelligently responding to both human and machine demand.
A crucial concept from the data world can point to the future of what you need for content as well...