AI hallucinates. It invents sources, fabricates data, and delivers confident nonsense often enough that most professionals have seen it firsthand.
Clients ask me if this means I’m obsolete.
I’m not.
Here’s what I’ve noticed after two decades working with leadership teams and founders: most of what passes for “strategic content” is pattern matching in a nice font. Buzzwords arranged in familiar sequences. “Innovative solutions.” “Customer-centric approach.” “Driving growth.”
AI does this beautifully.
It can produce serviceable blog posts, adequate email campaigns, decent landing page copy. It handles the mechanical work by recognising what typically goes where and filling in the blanks.
And that’s useful. I use it myself.
AI is brilliant at execution. It’s weak at judgment.
But here’s what AI can’t do:
What AI Can’t Do
Line-by-line writing? Sure. Give AI a brief and it’ll iterate until something works.
Ask it to figure out what the brief should say in the first place?
It guesses.
AI guesses from templates. Strategy starts from understanding.
In two years, AI has gotten good at tasks I used to charge for.
Which means those tasks were never the valuable part.
If AI can do it cheaply, it was never the valuable work.
The steam shovel eliminated digging—not construction. What remained was harder: architecture, planning, judgment about what deserved to be built.
The Pattern
Every automation wave removes labour. It exposes judgment. The winners are always the ones who understand what machines can’t evaluate.
AI is doing the same thing for content work. It’s not replacing strategy. It’s exposing how much of what we called “content strategy” was just execution dressed up in consulting language.
The real value isn’t writing the words. It’s knowing which words matter.
It’s understanding why three companies in the same industry all sound identical and figuring out what makes one worth paying attention to. It’s making decisions about what to say when there are twelve viable directions and no obvious right answer.
AI doesn’t make those decisions. It makes educated guesses based on what usually works.
I make decisions based on what actually needs to happen.
This is the work I document regularly in Field Notes: how companies decide what matters when there’s no obvious answer.
That’s not going away. If anything, AI creates more demand for it—because now that anyone can generate content, the companies that know what to say and why will be the only ones anyone remembers.
Judgment is the last unfair advantage.
Human work isn’t what AI can’t do yet.
It’s what we should have been doing all along.
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