Early in my career, I was a tactician. Email campaigns, SEO, SEM, building landing pages, hacking together A/B tests. Whatever the job needed, I’d figure it out.
Then I got older. Took on bigger roles. Strategy became my thing. I got an MBA, which basically teaches you how to never do real work again. Just make PowerPoints and use fancy terms like “ubiquitous” and “leveraging synergies.” Just kidding. Kind of.
Then I taught at UW. Strategy-heavy, theory-driven. But not much time for learning how to troubleshoot a broken Meta ad pixel or chase down why TikTok didn’t like the file format you uploaded.
Fast-forward to a recent client gig. A small, scrappy brand with big potential. I figured with AI at my side, I could go back to being a full-stack marketer. The headlines promised that AI was like hiring a 12-person team. All I had to do was show up and prompt. Well, that’s what I thought would happen…
Read more: The Strategist’s Dilemma: When Even Google Says “Just Let Us Run It”To be fair, some of it worked. AI helped me:
- Learn the market faster than any onboarding doc ever could
- Code landing pages I wouldn’t have touched otherwise
- Test language, generate image prompts, draft copy
But some things were harder than I expected. Not because of AI. Because of me.
I wasn’t great at managing $500 social ad budgets with a bunch of audience segments. I’d get excited, generate new copy, then forget which ones were running. I’d have four tools open at once and three dashboards with zero clear answers.
And the real challenge? AI made me want to move too fast. It gave me confidence, not always clarity. I overlooked the years of work the brand had already done. I thought, “Let’s just rebuild it.” Because I could. But just because you can doesn’t mean you should.
Not only that, but with all the worry about tactics, I forgot about building an actual strategy. Sure I was fixing things, but why? Why was I spending the time on these ad images and audiences a la carte? Where was the the overall gameplan, which is the thing I’m actually really good at?
And then came the pressure. I’d read stories of brands handing over their entire budget to Meta’s Performance Max or Advantage+ campaigns and watching sales jump 300 percent. Google says the same. Just let the algorithm run it. Trust the machine.
But then the experts, the real paid media folks, all say the opposite. You should never blindly hand over your budget. You need control. You need constraints. You need human judgment layered over the models.
So which is it?
That’s the strategist’s dilemma. You’re smart enough to see the big picture. But now you’re supposed to run the machine, too. You’re supposed to click every box, track every metric, and learn new rules every week. It’s not that you can’t. It’s that if you’re not careful, you’ll burn your whole day trying to beat an algorithm that’s already 10 moves ahead.
And yet… you also can’t sit back. This isn’t a time for marketers to lean only on decks and plans. You have to try things. Publish things. Watch what works. Learn what doesn’t.
Especially if you’re working with a brand built on authenticity. You can’t just let the machine write your voice. You have to start with something human. Something true. Then let AI accelerate, not replace.
That’s what I’d do differently next time. Not give up the strategy. Not fake the tactics. But respect both. Use AI as the intern, not the architect. Build the plan myself, then use the tools to get further, faster, without losing the voice or the vision.
Because in the end, it’s not about chasing trends or automating everything. It’s about making sure the brand stays true, the work gets done, and the results actually matter.
