AI isn’t changing marketing fundamentals.
It’s emphasising them.
Almost overnight, the internet is filled with more content than ever, and somehow, much less of it feels worth paying attention to.
AI doesn’t create good or bad marketing.
It makes bad marketing worse, or good marketing much better.
AI is a multiplier, not a fix
There’s a quiet assumption behind a lot of the AI excitement:
“If I use AI, my marketing will get better.”
But AI doesn’t add clarity.
It doesn’t create strategy.
It doesn’t understand your audience.
What it does is scale whatever you give it.
If your message is vague, AI will make it efficiently vague.
If your positioning is weak, AI will help you repeat it faster.
Why does bad marketing gets worse with AI?
Bad marketing usually suffers from the same few problems:
- lack of strategy
- generic messaging
- poor targeting
- no real call to action
When AI enters that mix, it removes friction, not your customer’s confusion.
Suddenly, it’s easier to:
- publish more
- say less
- sound like everyone else
The result isn’t better marketing.
It’s more noise.
And audiences can feel it immediately.
Why does good marketing get better?
Let’s flip the scenario.
If you already have:
- a clear understanding of your audience
- a specific problem you solve
- a well thought out strategy
AI becomes incredibly useful.
It helps you:
- explore angles faster
- split-test phrasing and messaging
- iterate without starting from zero
In this case, AI doesn’t replace thinking.
It supports it.
That’s the difference.
Where do people go wrong?
Most AI marketing mistakes happen because people skip steps.
They ask AI to:
- write posts
- generate campaigns
- create strategies
Before they’ve done the harder work:
- clarifying who they’re for
- deciding what they actually believe
- understanding why anyone should care
AI can’t fill those gaps.
It just papers over them.
AI didn’t ruin marketing.
It made the gap between good and bad impossible to ignore.
Kerry x
