Why the AI silver bullet isn't fixing your revenue problem

The old gated-ebook playbook stopped working around 2018, and slapping AI on top of it isn't going to bring it back. In this episode of Content to Close, Matt Zelasko, founder of growth agency Radish and self-described "Tom DeLonge of RevOps," makes the case that most teams are using AI to do the same broken things faster, then blaming AI for the falling engagement that was already happening. Matt walks through why content is saturated, why "intelligence" is the wrong word for what an LLM actually does, and why understanding how the technology works (it's speculating what comes next) is what finally unlocks its real use. He shares his shift from prompt engineering to context engineering ("what else do you need from me?"), why he turned down a client who wanted an AI agent to write case studies but said yes to one who wanted an agent to write RFPs, and how creative people can use AI without losing the ideation work that makes the output good. If you're tired of AI hype and want a sharper view on where it actually belongs in revenue generation, tune in.

About Matt

Matt Zelasko runs Radish, a horizontal growth agency that helps clients "do more rad shit" and take the next step in their growth. He's spent longer than he'd like to admit in the agency, marketing, and RevOps space, and is better known on LinkedIn as "the Tom DeLonge of RevOps." Matt is opinionated, willing to be proven wrong, and believes you can take the work seriously without taking yourself seriously. Before running Radish he worked as a copywriter, and still leans on old-school habits like writing 50 to 100 taglines by hand before reaching for any tool.

Show Notes

- Connect with Matt on LinkedIn: https://www.linkedin.com/in/matthewzelasko/