Every new AI tool gets introduced as a magic bullet. One click, fully automated, handle everything while you sleep. The pitch is always the same, and it’s almost never true.
The big LLMs, ChatGPT, Claude, Gemini, Grok, are genuinely powerful. They’re also Swiss Army knives. Versatile, reliable, surprisingly handy in a pinch. But you’re not chopping down a tree with one. You’re not building a house with a tiny saw blade, even though the blade is technically there. Try it, and you’ll just spend a lot of time and frustration getting nowhere.
The businesses that actually get results with AI figure out two things pretty quickly. First, what the Swiss Army knife is actually good for. Second, which scalpel to pick up when the knife isn’t enough.
Check out the full episode here:
https://www.buzzsprout.com/2597196/episodes/19146870
“AI is a Swiss army knife, not a magic bullet.” – Mike Montague
Human-First AI Marketing® is built on this philosophy. When every business can open ChatGPT and ask for a marketing email, the output starts looking the same. Same structure, same tone, same optimized opening line. The algorithm-favored shortcut becomes the default for everyone, and the default for everyone stops being an advantage for anyone.
We’ve been here before, actually. When we got the telephone, we got telemarketers. When email arrived, we got spam. Social media matured into a flood of scheduled posts no human being was waiting to read. Every new communication channel follows the same arc: early adopters use it to connect, then the mass market uses it to broadcast, and then the audience tunes out.
AI is following that arc at about ten times the speed.
The businesses that treat AI as a content machine, type in a thin prompt and publish whatever comes out, are essentially playing into a stalemate.
Here’s where I flip the whole approach around.
Most people try to take a small idea and stretch it into 800 words. Feed AI one sentence and ask it to write a blog post. It’ll produce something, technically. But it’s guessing. It has no raw material to work with, so it pads, hedges, and generates the same ideas it generates for everyone else.
My Degenerative AI method runs the other direction. Start with a rich conversation, a founder interview, a sales call, a podcast appearance like this one, and ask AI to compress it down into the strongest, most specific version of what you actually said. You’re not manufacturing content. You’re distilling it.
The result is marketing that sounds like you, because it literally came from you. That’s the suboptimal move, in the best possible sense. It doesn’t look like everything else, because it isn’t everything else.
The World’s Smartest Intern
Think of AI the way I think of a brilliant first-year hire. They’ve studied everything available. They’re fast, tireless, genuinely eager to help. But on day one, they know nothing about your business, your clients, or the things that make your story different from everyone else’s.
Context engineering is the act of actually briefing that intern. Not just handing them a task, but sitting down and explaining who you are, who you serve, how you talk, what you believe, and what you’ve learned the hard way. Once you do that, the output changes completely. Not because the tool got smarter, but because it finally has real material to work with.
I walked through this live on the Playbook AI Partners Podcast with Andy Kibling. We talked about how feeding AI your actual voice and actual ideas, and then paying attention when AI drifts back toward generic, is the real work of using these tools well. Getting 30 days of content from a single conversation is a downstream benefit of that upstream investment in context.
Iron Man, Not Terminator
There are two models for using AI in your business. Tony Stark wraps himself in technology and becomes a superhero. The Terminator operates autonomously and pretends to be human while actually being the opposite of it.
A lot of AI marketing advice is Terminator advice. Deploy the agents. Automate the outreach. Let the machine work while you sleep. It sounds appealing until you realize you’ve handed the most trust-sensitive part of your business to something with no judgment, no relationship, and no skin in the game.
The Iron Man approach is different. You stay in the suit. You set the intent. AI accelerates the execution. The output is something faster and better than either of you could produce alone, and it’s still unmistakably yours.
That’s what I did with a senior living company called Advena. They had incredible stories, dedicated staff, and no time to capture any of it. We sat down with their leadership team, interviewed them, and used AI to turn those conversations into internal training videos. They went from one video a year to five a month, at roughly a tenth of their previous production cost. More importantly, every new hire now meets the founder on day one and understands what Advena actually means. No AI agent could have manufactured that. But AI absolutely helped us share it.
The Stress Paradox Worth Naming
One thing I said on the episode that I want to say again here, because I think it gets overlooked in every “AI will save you time” headline: when AI handles everything easily, only the hard parts are left.
Five years ago, a draft going out for review bought you two days. The spell-checking, the grammar pass, the basic formatting, that was somebody’s afternoon. Now it’s instant. Which means the pace of the actual thinking work has accelerated to fill that space. People aren’t less busy. They’re exhausted in a different, harder way.
The solution isn’t to use less AI. It’s to use it as an amplifier for the human work, not a replacement for the breathing room that human work needs. The sea-change happening in marketing right now is pushing back toward authentic human conversations precisely because AI-generated content can’t replicate what those conversations produce.
Listen to the full episode on the Playbook AI Partners Podcast, and if this conversation resonates, come find more like it on the Human-First AI Marketing Podcast.
