Split Personality

 

Some days I’m the copywriter. Other days I’m the marketer selling the copywriter.

And most days they’re both a pain in the ass.

Because freelancing’s a split personality gig. Half of you is busy crafting killer lines for clients. The other half is trying to convince the world you’re worth paying for them.

Too much copywriter, and you’re broke with beautiful work. Too much marketer, and you’re loud with nothing to show.

The sweet spot? That razor-thin middle where you sell yourself just enough to keep writing the stuff that sells everything else.

“Is AI gonna take our jobs?”

 

That’s the wrong question.

It’s like standing in front of a Ferrari asking if it’s going to replace your bicycle. Technically, sure … but aren’t you at least a little curious what happens if you learn to drive?

The center of gravity just moved: According to McKinsey’s latest research, today’s tech could already automate 57% of U.S. work hours. That’s half your to-do list. Gone. Vaporized.

But the headline isn’t the automation.

The headline is this:

Over 70% of the skills we use today still matter.

They’re just getting reused, remixed, and re-leveled.

AI isn’t deleting humans. It’s deleting chores. Drafting? Gone. Research? Half-gone. Data prep? Your new robot intern’s problem.

Meanwhile, human value is stampeding toward the good stuff: judgment, framing messy problems, negotiating, coaching, seeing around corners. The things no algorithm can fake without looking like a teenager wearing his dad’s suit.

Demand for AI fluency has jumped 7x in two years.

What does that mean to you? You don’t have to be a prompt-slinging wizard, but you do need to understand what this tech can do besides writing snappy emails. You need to know how to pair people with agents with robots the way great chefs pair flavors: intentionally, creatively, with a dash of fearlessness.

The $2.9 Trillion Elephant in the Room

$2.9 trillion … that’s the number leaders keep stepping around like it’s optional: Companies that rebuild entire workflows -- not just sprinkle AI like parsley -- stand to unlock $2.9 trillion a year by 2030.

But the winners won’t be the ones with the most AI.  They’ll be the ones with the best partnerships, where humans, agents, and robots don’t just coexist but compound each other’s strengths. Think co-pilot, not tool. Dance partner, not threat.

The Bottom Line

If you’re a leader waiting for the world to “settle down” so you can make a clean, rational AI strategy, I have news: the future is already jogging laps around your building. This is the moment -- right now -- to rethink roles, redraw workflows, and reskill your people.

Not because AI is coming for your jobs … but because your competitors are coming for your workflows.

And they brought robots.

DIY

 

All copywriters and content writers have heard that before. Many times.

I get it. I’ve learned (repeatedly) that a lot of things in life only look easy. It’s usually someone’s mastery making it appear effortless… or my ego whispering, “You could do that, no problem.”

Spoiler: I usually can’t.

Every time I attempt something that should be simple but isn’t, I discover yet again that the world is full of hidden difficulty. And I’m also reminded that it’s full of craftsmanship, patience, and people who make the impossible look easy.

I love that reminder. It keeps me humble, curious, and appreciative of the people who put in the work to make hard things look simple. And proud of the time and pain I have put into striving for excellence in my work. And how it might seem effortless to the outside world.

But I’m not sure I’ll be able to quiet my overactive ego, so I’ll probably keep believing that I can do things that look easy to the untrained eye. I’ll keep falling for that voice that says, “How hard could it be?” And I’ll keep being gloriously, hilariously wrong.

But I’ll also keep appreciating the people who make hard things look simple … because I know the truth: it’s not ease. It’s mastery.

And mastery never looks easy from the inside.

QUICK BRIEFING: Generative AI vs Agentic AI

We’re stepping into a new chapter of AI, and this one doesn’t just sit there generating pretty paragraphs or clever images. It gets up, stretches its legs, and starts doing things.

Agentic AI isn’t content to be your idea machine, it wants the keys to your tools, your data, your systems, and it’s ready to run errands on your behalf.

But with that freedom comes the fuzzy stuff.

These systems think in abstractions, not hard lines, which means the borders around “private” and “public” can get smudged if we’re not careful. And all those little human rules we just know ... the instincts about what’s okay to share and what absolutely isn’t? AI doesn’t come preloaded with that.

As these agents start negotiating deals or making moves, they’ll lean on the human patterns baked into their training, quirks and all.

And since the science behind all this is still being drawn in pencil, not ink, it’s on organizations to put the guardrails in place -- clear rules, clear limits, and a clear sense of what’s allowed -- while this whole agentic frontier takes shape.