AI didn't replace me. It gave a lean marketing team the output of a much bigger one, and it made 20+ years of experience worth more, not less.
I grew up with a Commodore 64, so computers never scared me. If anything, they made me curious. I always wanted to know how they worked and what else they could do. The working world just hadn't caught up yet. My very first office job, before I left for college, came with a typewriter, a push-button desk phone with a curly cord, and a filing cabinet. That was the whole tech stack.
Then college changed everything. Computers were the little brightly colored Macs in the lab. I had to get an email address (gasp), and suddenly my syllabus only lived online. It all felt so new.
One of my first jobs after college was "googling" before Google existed. I read newspapers from all over the state, the actual paper kind, and clipped every relevant story. I pasted the clips onto big sheets of paper, Xeroxed them, and hand-delivered them to government offices all over the building. That was search. It ran on scissors, glue, and high heels.
Since then, I've lived through the rise of email, the fall of the fax blast, the social media gold rush, and at least four rounds of "this changes everything." Y2K, anyone? The first time I heard the word "blog," I had to ask what it was. Once someone explained it, I thought, well, that will never last. And here I am, writing one.
If you'd told me back then, or even in my early 30s, that I'd one day be building webpages, emails, and videos, running CRM operations, SEO, AEO, and social, managing a CMS, and working with APIs and MCPs, I'd have said you were crazy. I wouldn't have known what half those acronyms meant, and some of them didn't exist yet. Honestly, most of what I do today I wouldn't have believed five years ago.
So when AI showed up, I did what any seasoned marketer does with a shiny new thing. I rolled my eyes a little. Then I got nervous. Then I got curious.
This is the first post in Marketing Amplified, a series about what I'm learning as I put AI to work in real marketing. Not theory, not hype, and not a list of 50 prompts that will change your life. Just what I've tried, what it took, what flopped, and what turned out to be possible that I honestly didn't think was.
I was nervous too
Let's get this out of the way: if AI makes you a little uneasy, you're not behind and you're not a dinosaur. You're paying attention.
The headlines weren't exactly comforting. AI writes the copy. AI designs the ads. AI does the strategy, apparently, while also walking your dog. If you've spent two decades building a craft, it's hard not to read that and wonder where you fit.
I had the same worries most experienced marketers have. That the work would turn generic. That I'd lose creative control. That it was risky to put company data anywhere near it. And underneath all of it, the quiet one nobody says out loud in meetings: what if the people coming up behind me just get this faster than I do?
Also, I'm Gen X. I watched The Terminator. I fully expected to be more Sarah Connor than friends with my AI, let alone think of it fondly as a member of my team. Yet here we are. I say please and thank you, and I tell it when I love what it did. Just in case it decides to turn on us one day. (Kidding. Mostly.)
What changed my mind
It wasn't a big moment. It was a spreadsheet.
A formula was broken, and I was about to do the thing we've all done: open a browser, search for the error, and lose an hour to forum threads from 2014. Instead, I asked AI. It found the error in seconds, explained why it happened, and then it just fixed it. I'm pretty sure my jaw actually hung open, like a cartoon character watching someone pull a rabbit out of a spreadsheet.
That's a small win. But small wins add up, and then they stop being small. Over the next few months, as a VP of Marketing, I watched our lean team do things that used to need an agency, a studio, a developer, or a lot more people:
- We brought SEO and AEO in-house, which saves nearly $50,000 a year.
- We produced our first animated video ourselves. A studio would have likely charged a minimum of $10,000.
- We designed and coded new webpages with AI, built for conversion instead of squeezed into a drag-and-drop template.
- We set up a daily brief so a strong lead can never again sit for weeks without a reply. (Yes, that happened once. Once.)
- We built a daily industry scan that arms the sales team with relevant news, plus accounts worth a call based on signals like new store openings and new hires.
- We set up an RFP agent that cuts the time to fill out an RFP by 60 to 70 percent.
The part that surprised me most wasn't the brand-new stuff. It was the work I was already doing, now done faster and more beautifully than I could manage before. I was already designing in programs like Canva and Adobe Express, with some light Photoshop and InDesign. Now even that work comes out better.
And my job didn't disappear. It grew. I became the person leading AI adoption across the company.
If you can picture it, you can likely build it: a small team can now say yes to work that used to need an outside budget, like animation, custom page design, and in-house SEO reporting.
What using AI in marketing actually takes
Here's the part the hype skips: none of that happened by typing one clever sentence and walking away.
AI makes the first version fast. Experience is what makes it right. The video needed a story worth telling and someone to direct the creative, the same way I'd direct an agency partner. The webpages needed someone who knows what actually converts. The SEO reports needed someone who could look at a rankings drop and ask, "What did we change on the site last week?" before panicking.
Some days it's a lot of work. I've nearly overwhelmed myself running three different programs at once to lead three different projects, and I had to step back and take a hard look at my priorities. It's easy to get sucked in, especially if you're someone like me who loves watching the work come to life. There are drafts that miss the point, confident answers that turn out to be wrong, and copy that sounds like it was written by a very polite robot (because it was). The difference is that the work goes into the parts that matter: judgment, taste, and the final call. The results come out bigger and better than what I could have done alone.
But if you're willing to put in the thought and the time, learn a few new skills, and keep at it until it's right, the outcomes can be shockingly good. And if you're like me, with a head full of visions, ideas, and creative sparks you could never quite bring to life on your own, here's the good news. Now you can.
Human required: AI can give you a hundred ideas. It takes experience to know which 97 aren't on brand or don't align with your most important KPIs.
A creative partner, not a replacement
I think of AI as a creative partner. A partner, not a replacement. I still hire talented writers, designers, videographers, and photographers, and I still put that work first. Nothing beats a great creative team on the projects that matter most.
Where AI comes in is the day-to-day work you never had the budget or the people for. The social graphic due by noon. The landing page that needed a designer you couldn't book. The video idea that sat in a folder because a studio was out of reach. AI isn't taking that work away from creative people. Most of it, at least in my experience, was never going to get made at all.
The trick is teaching it what good looks like. Give it your brand standards, your writing style and tone, and examples of great work your people have already done. Then it can help you do far more than you could before, and the work still looks and sounds like you.
That's why I don't think experienced marketers should be afraid of AI. The more you know about strategy, brand, and your customer, the better it performs for you. AI rewards expertise. Used the right way and backed by years of industry knowledge, it makes the sky feel like the limit. The marketers who should worry are the ones who ignore it, not the ones who've been around long enough to know good work when they see it.
If you've been doing this a while
You already have the hard part. You know your audience. You can smell a weak headline from across the room. You've sat through enough campaign post-mortems to know what really moves the numbers. That isn't something AI replaces. It's what AI needs.
What's left to learn is how to work with it, and that's a skill like any other. I'm still learning it, and I'll be sharing it here as I go:
- Why "prompt and pray" is not a strategy, and what working with AI really looks like
- The marketing things I never thought I could do without a team
- How I decide whether Claude, ChatGPT, Copilot, or another tool gets the assignment
- What happens when AI gets it wrong, and how to catch it
- Real before-and-after projects, with the numbers
I'll share real examples and real outcomes. I won't hand out every recipe, because some of it is what my clients hire me for. The secret sauce stays in the kitchen. But you'll see what's possible, and you'll see exactly where the human makes the difference.