Why I Walked Away from Marketing for Six Years (And What Brought Me Back)

I didn’t burn out on the work I loved.
I burned out on the tax on the work I loved.
For almost ten years I was a freelance marketing copywriter. The actual craft, understanding a client’s business, understanding their customers, building the strategy, getting the messaging right, I loved all of it. That part never got old.
But when you’re a freelancer, you’re not just doing the job. You’re also running the business. The billing. The collections. The client meetings that could have been emails. The administrative infrastructure that has to exist so the actual work can happen.
And that stuff, the $9-an-hour tax on a $100-an-hour career, wore me down to the point where I just had to walk away.
I left marketing for about six years. Not because the work wasn’t worth doing. Because the overhead of doing the work had become unsustainable.
I’m telling you this because I think a lot of people are living inside a version of that same math right now, and they’re attributing the burnout to the wrong cause.
If you’re feeling like the work you chose is draining you, the question worth asking isn’t “did I pick the wrong career?” It’s: “What percentage of my day is actually the career I picked, and what percentage is the overhead of doing it?”
Because if the overhead is eating the good stuff, the problem isn’t the work. And walking away from the work doesn’t fix it.
What the six years actually taught me
I went back to marketing when I was ready. But I went back differently, I joined a company with a team specifically because I didn’t want to run the business anymore. I wanted to do the marketing. Just the marketing.
I came in refreshed. Energized. And right around the same time, generative AI was starting to become real.
I dove into it immediately, not because I was optimistic about it, but because within the first couple of hours of using it, I could see the writing on the wall. The tool I was using at the time was Jasper AI, called Jarvis back then, before the lawyers got involved. And within two hours I had one clear thought:
I don’t want to be John Henry’d out of a job, so I need to become Mozart on this thing before the general public gets its hands on it.
That’s not hyperbole. That’s what I thought. And I started treating it like a skill to develop seriously, not a toy to experiment with casually.
The thing I understood quickly, and this took longer for most people to see, is that AI’s value isn’t in replacing the $100-an-hour work. A tool that generates content without your ideas, your perspective, your voice, your judgment? That’s a content machine. The output is indistinguishable because there’s nothing distinguishable going in.
The value is in eliminating the overhead. The $9-an-hour work. The stuff that wears you down not because it’s hard but because it takes the same hours as the real work and produces a fraction of the value.
What that actually looks like
Here’s a concrete example.
I run social media for a company doing over $700 million in revenue. More than 100 locations. As part of that job, I was responding to every comment on all of that content.
I’m good at it. I understand the audience. The responses were landing. But it was repetitive, the same questions, the same types of comments, over and over. And at that scale it was eating close to two hours a day.
More than the time: I dreaded it. That specific low-grade weight of knowing a comment section is sitting there waiting for you, the anticipation, the bracing for the negative stuff, the mental load of it before you even open the app, that’s a real cost that doesn’t show up in any time audit.
So I built an agent to handle it. I gave it examples of the best responses to our most common comment types. I gave it detailed persona briefs for who our audience is. I connected it to our social data. Now it pulls a daily report, prioritizes what needs attention, and drafts replies in our brand voice.
I spend ten minutes reviewing the report. Tweaking what needs it. Approving and posting.
Ten hours a week became thirty to fifty minutes. And the dread went away.
That’s not replacing the judgment. I’m still in the loop on every reply. I’m still the one who decides what goes out. But the cognitive overhead, the research, the drafting, the sorting, the slog, that’s on the agent now.
The longer-game proof
I’ve been running versions of this thinking for a long time. Long enough to have raised four kids inside it.
I started studying the Ars Memoria, the formal art of memory used in classical education, at 18. I went deep on it. Built a working version of it. And then I started looking at what it produced in people who actually had it, the ability to learn anything with relative ease, without the grinding repetition that makes most people dread studying.
So I built it into how my kids learned. Not as a formal curriculum, as a way of engaging with information. The four critical thinking questions. The mnemonic approach to memory. The habit of asking “what is this really, and how do I actually use it?” rather than just trying to absorb and repeat.
Three of my four kids who’ve gone to college came in with presidential academic scholarships. My youngest is preparing for college now.
But here’s the part I want to be precise about: it’s not because they’re exceptionally intelligent. There are plenty of highly intelligent people in their classes who don’t have this. It’s because the cognitive overhead of the academic system, the part that wears most students down, that makes school feel like a slog, never landed on them the same way. They had a method for the parts the system makes hard. So those parts became easy. And that freed up bandwidth for everything else.
The kid in band and track and colorguard and drama. Not because I pushed them. Because they had the capacity.
That’s the long game of this. When you stop carrying cognitive overhead that doesn’t need to be yours, you get that bandwidth back for the things that actually matter to you.
What’s available right now
I want to be clear about where we are in this moment, because I think most people are underestimating it.
This isn’t just a smarter chatbot. What you have access to right now is a team of digital employees, agents that can connect to the tools you already use, learn your workflows, operate with a rich understanding of who you are and how you work, and do the actual execution while you handle the judgment.
The Ghost and The Wizard are two tools I built specifically for this. The Wizard runs you through the diagnostic, the $9/$100 split, the four-quadrant matrix, and comes back with a clear picture of where AI can take over. The Ghost is a content pipeline that interviews you the way a podcast host would, preserves 90 to 95 percent of your voice, and turns that into platform-specific content you’d actually publish.
Neither one replaces your thinking. Both of them remove the overhead of executing on it.
Start with the prompt, not the tool.
Go to Claude.ai, the free version is fine. Tell it who you are and what you do. Tell it what you love about your work and what you hate. List some of the $100-an-hour tasks where your real value lives, and some of the $9-an-hour tasks that eat your day.
Then ask it this: “How could AI agents, using your desktop app or agentic tools, help remove me from 90% of my $9-an-hour tasks and free up more time for the work that actually requires my judgment?”
One more thing before you send it: tell it to ask you as many questions as it needs to until it’s 99% confident it can help you effectively. Let it interview you a little. The quality of what it comes back with depends on the quality of context you give it.
See what it says. Then come back and tell me.
I’m genuinely curious what it surfaces for your specific situation. Because the ceiling on this, once you start actually using these tools as a workforce instead of a search engine, is a lot higher than most people realize.
You didn’t burn out on the work you love. You burned out on the tax.
And the tax just got a lot cheaper to pay.