These are the 7 major subjects we cover to prepare you for 2026:
The hype-free reality of SaaS & AI in martech
3 types of AI agents in marketing (only one is disruptive)
Context engineering in marketing & data sources in use
A spectrum of deterministic & non-deterministic automation
Practical application of “vibe coding” in marketing
“The Factory” vs. “The Laboratory” in martech management
Value engineering > GTM engineering in Marketing Ops 3.0
It includes all the latest data from our AI & Data in Marketing survey conducted a couple of months ago. No techno-jargon. Just plain language explanations and helpful visual illustrations.
For a report of this depth and rigor, we could easily charge $1,000 or more. Instead, we worked with 7 sponsors to support the months of work we spent on this to be able to share it with you at no cost.
Our sponsors had no input or review of our editorial content — they just saw the report for the first time yesterday. Instead, we conducted a series of interviews with leaders from each of them to dig into their perspective on these subjects, which we included as separate chapters in the report:
GrowthLoop — Mind the Gap: Why AI Success Starts with Data Hightouch — AI Agents and the Future of Marketing Workflows Intuit Mailchimp — AI and the Mid-Market Marketing Revolution MetaRouter — AI and the First-Mile in Digital Experiences Progress — The Human Dimensions of AI in Martech SAS — With AI, More Is Not Better — Better Is Better Treasure Data — The Future of AI and CDPs in Marketing
Frans Riemersma and I learned a ton working on this. We hope it’s genuinely useful for you, and we’d love to hear any feedback you have for us.
