🎧 Episode Summary:
The biggest barrier to AI adoption? How we talk about it. If your team thinks AI is too complicated, the problem might not be the tech—it might be how you’re talking about it.
We’re unpacking how jargon, inflated terminology, and casual gatekeeping language make AI feel inaccessible—and what you can do instead to make it feel like a tool anyone on your team can use with confidence.
In This Episode, You’ll Learn:
1. Why language creates unnecessary barriers.
Terms like “prompt engineering” or “AI agent workflows” sound sophisticated, but often turn everyday marketers off. The truth? Most of what we call “prompt engineering” is just structured communication—something B2B marketers already do well.
“Throwing around terms like ‘prompt engineering’ makes AI sound like it belongs in a dev sprint, not a marketing workflow.”
Real-Life Moment:
A product marketing lead felt “behind on AI” after seeing flashy LinkedIn posts. But when we broke down her actual tasks—summarizing reports, drafting messaging, writing copy—she realized she was already doing it. She just wasn’t calling it AI.
2. How inflated AI claims slow down adoption.
Saying you built an “AI agent team” might sound impressive, but if it’s just a few custom GPTs… say that. Framing simple tools as complex systems makes others feel like they can’t participate.
“The framing pushes others away before they even try.”
This delays AI experimentation across your team—especially in roles like content, demand gen, SEO, and RevOps.
3. What actually accelerates team-wide AI use.
Clear, honest, simple language. When you describe AI in relatable, accessible terms, your peers start exploring too—and that’s when the real productivity gains happen.
“You’re not trying to impress. You’re trying to include.”
4. Why early adopters shape culture.
The way you talk about AI—on Slack, on LinkedIn, or in a team meeting—sets the tone for your org. Are you making AI sound like a superpower or a skill anyone can build?
“Don’t make it sound harder than it is. Make it feel accessible, achievable, and worth trying.”
Final Takeaway:
If you’ve gotten good at using AI in your B2B workflows—great. Now use that knowledge to make it feel easier for everyone else. Because when your team understands it, adopts it, and builds with it… your whole marketing org levels up.
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