How AI Copywriting Is Revolutionizing My Industry (With a Little Help from My Broken Brain)

As a copywriter with a brain that's a little... different, I've always been fascinated by the power of words to move people and drive business results. ...

Illustration of a zombie mascot sitting on a large pile of crumpled paper, holding a glowing quill in one hand and a typewriter key in the other, with sparks of light connecting the two objects.

As a copywriter with a brain that's a little... different, I've spent 40+ years chasing the exact words that make a stranger stop scrolling and buy something. So when AI showed up promising to write ads better than a guy who's personally written over 100,000 of them, I paid attention -- and I pushed back.

I tested it head-to-head against myself a while back in Is AI Better Than A Human Copywriter?, pitting AI against a Master Copywriter's process. It lost, badly -- the copy was bland, safe, and forgettable, exactly what you'd expect from something trained to average out a million mediocre ads.

Since then the models have gotten sharper, and for a few months I genuinely worried AI would flatten the business I've spent four decades building. It hasn't. What it's actually done is take the parts of my job I never liked and hand me back the hours.

Here's exactly where AI has earned a seat at my desk, where it hasn't, and why none of it makes the human copywriter optional.

AI Can Handle The Grunt Work

Let's be real. As copywriters, we know certain tasks are necessary but not particularly enjoyable. Keyword research, pulling patterns out of a spreadsheet of ad performance data, reformatting the same headline eleven different ways for eleven different platforms -- none of that requires forty years of craft. It just requires time.

AI chews through that grunt work in minutes instead of hours. That's not a philosophical win, it's a scheduling win -- it means I spend more of my day on the two things that actually move a client's revenue: the hook and the close.

AI Can Offer Valuable Insights

AI is genuinely useful at spotting patterns across a pile of data faster than any human on my team -- which words show up in the highest-converting subject lines this quarter, which claim keeps getting flagged in customer replies, which angle is quietly dying. I don't take its conclusions as gospel, but I do use them as a second opinion before I commit to a direction.

That's the difference between AI as a tool and AI as a crutch. It flags the pattern. I still have to decide if the pattern means anything.

AI Can Help Us Be More Creative

Contrary to what some might think, AI doesn't stifle creativity when you use it right. Handing off the routine work gives me back the mental bandwidth to sit with a headline longer instead of rushing it out the door -- and I've written before about why that first line deserves way more attention than it usually gets. Check out Your Headline Is Doing 80% Of The Work if you want the long version of that argument.

I'll also use AI to throw out a dozen angles I'd never bother writing myself, just to see if one of the throwaway options sparks something better. Nine times out of ten they're garbage. The tenth time, it's a door I wouldn't have opened on my own.

AI Can Help Us Write Better Copy

The genuinely exciting part is how AI has gotten at predicting what messaging will land with a specific audience, once you feed it real data instead of vague vibes. Run it against actual customer behavior and it'll surface patterns a tired human eye misses on the fifth pass through a spreadsheet.

Natural language generation -- the technology that lets a machine turn a pile of data into readable sentences -- is especially handy when a brand needs a huge volume of copy variations summarized or drafted fast, before a human ever touches it.

The area where my team has grown the most is training AI to hold a specific brand's voice instead of defaulting to generic corporate-speak. Over the last month we've built out brand-voice models for clients in aerospace, insurance, and financial services -- teaching the AI the difference between how a 100-year-old insurer talks versus a scrappy DTC brand, then using that as a first-draft engine our writers edit against. More companies are asking for exactly this every week, because it's the difference between AI copy that sounds like AI and AI copy nobody can tell wasn't written by the in-house team.

But can AI actually replace human creativity? No. It can generate copy fast, but it doesn't know what it feels like to lose a client's launch because the headline was one word too clever, or to watch a single line save a failing campaign. That scar tissue is where the human touch comes from, and it's not something a model has access to.

The best copywriting today is a division of labor: AI handles volume and pattern-spotting, the human handles judgment and nerve. If you want the fuller breakdown of where that line actually sits in a working agency, I laid it out in What AI Actually Does For My Agency -- it's the boring, unglamorous truth nobody selling an AI tool wants you to hear.

Frequently Asked Questions

Yeah, he did a complete 180. Ken initially tested AI against himself in an earlier article and AI didn't fare well, which made him skeptical. But as AI developed and got better, he went from worrying it would make him obsolete to seeing it as a tool that actually makes his job better.

AI can knock out the tedious stuff like researching keywords, analyzing data, and formatting copy for specific platforms. This frees up copywriters to spend more time on the creative work—brainstorming ideas, crafting compelling messages, and refining their craft.

No. While AI can generate copy quickly and efficiently, it lacks the human touch that makes copy truly engaging and memorable. Ken's clear that the best copywriting requires a balance of human creativity and AI-powered efficiency.

Ken and his team are adapting AI to speak in the specific voice of businesses and brands. In just the last month, they've adapted the brand voice of major companies like Lockheed Martin, CIGNA, and Berkshire Hathaway for AI, and they're getting more requests daily.

NLG is a technique that allows machines to generate human-like language. It's particularly useful when there's a large volume of data that needs to be analyzed and presented in a concise, easy-to-understand way—helping copywriters handle scale without sacrificing clarity.

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