"The company with the most insecure employees will win."

Josh said that in a Friday all-hands. I still think someone should've stopped him after the word "company."

To be fair, it was early 2026. Another day, another CEO bragging about firing his marketing team for AI. That guy's the worst, by the way. And "What are you doing with AI?" had replaced small talk at every marketing event.

So, I came back from an Exit Five retreat with homework for the whole team: rate your AI comfort level from one to ten. No wrong answers.

Thanks to a self-score of 7 (real score: 10), Kelly led the build. First: customer language, straight from sales calls. Then Scout, our Slack tool for instant competitor intel. You know, superhuman marketer stuff.

In this episode of This Meeting Could've Been a Podcast, we talk about how the AI tax is becoming a real thing, what Netflix taught us about building for the long game, and the only acceptable reason to use AI at work — looking better in front of your boss.

What you’ll learn

  • Why company vision matters more than any single AI product when the market won't stop changing
  • What AI is genuinely good at right now, and where human judgment and taste still win
  • How to build an AI habit that doesn't create more work for the people
  • Why teaching new marketers to do the messy work matters now more than ever
  • Why staying comfortable in your role might be the actual risk, and what Josh was trying (badly) to say about it

TOP THREE TAKEAWAYS

Takeaway 1: Don't let good-looking AI fool you

Josh brought up the "millennial pause." You know, that split second before you start recording because a tiny part of you still doesn't trust the phone. Gen Z doesn't have it. They grew up with iPhones that just worked.

He reckons we're treating AI the same way because we experienced it when it sucked.

So now, every perfectly formatted document, suspiciously polished email, and pixel-perfect design gets the same reaction from us.

Is this just slop with lipstick on?

The funny thing is, AI hasn't removed the work. If anything, we're paying that tax in hours — sometimes days. Instead of spending an hour writing a first draft, you'll probably spend three hours reading five AI drafts, checking facts, cutting the nonsense, rewriting the bits that sound robotic, and deciding whether there's a real idea buried underneath all the “important words.”

As a proud 90s kid, my contribution to the discussion had to be a Clueless reference. "It's giving full-on Monét. From far away it looks great. Then you get close and it's a total mess."

Josh's version was less cinematic: "It requires a human to discern whether the stuff is valuable."

Which is exactly why AI hasn't made good marketers less important. If anything, it's made good judgment even harder to fake.

Takeaway 2: You can't outsource your reps

New marketers are walking straight into jobs where AI writes the first draft. Sometimes the only draft. Now you're managing a robot intern that's never written a bad headline in its life.

That’s what keeps me up at night. How do you learn what good writing looks like if you’ve never written a bad version first? I didn't get good by nailing it on the first try. I got good by writing a hundred terrible headlines, getting torn apart in edits, and doing it all over again.

That's the rep.

Skip straight to AI, and the difference between fine and good gets lost somewhere in the prompt. You just get output. Confident, polished, occasionally very wrong output. Critical thinking is becoming a lost art, and a lot of people are being handed the finished result before they've ever had to build a campaign from scratch.

There's a meme for this: one foot already on the top step, the other never touched the first six. That's AI right now. All of the destination, none of the climb.

Takeaway 3: Products change. Your “why” better have a longer shelf life.

The best companies don’t build their identity around what their product does today. They build it around why it needed to exist in the first place. This was a lesson Josh got from his mentor, who worked on the original Netflix culture deck.

Which makes Netflix a pretty good example. At some point, they mailed DVDs. Then they dropped DVDs for streaming. Then they started making their own shows. Three completely different businesses built on one mission — give people access to the world’s best storytellers.

The mistake would’ve been saying, “We’re a DVD rental company.” Great, now enjoy your very specific identity right up until the internet ruins your day.

Josh realized we needed to ask the same question at Vector. For years, we described ourselves by what we did: contact-level ad targeting, de-anonymizing site visitors, syncing ICP audiences across platforms.

All true. All useful.

Also, all things that get awkward when technology moves faster than your website copy. So, we stopped defining Vector by the feature set and went back to the reason we exist: Vector is where marketers go to become superhuman.

Sometimes that means AI. Sometimes it doesn’t. Sometimes it means whatever weird new thing exists six months from now that we haven’t even named yet.

Catch the full episode (and subscribe to This Meeting Could’ve Been a Podcast) on YouTube or your favorite podcast platform.