AI Made Content Cheap. Taste Got More Expensive.

A lot of marketing teams are using AI to move faster.

More blog posts.
More LinkedIn drafts.
More email variations.
More ad concepts.
More landing page copy.
More repurposed content.

That sounds like progress.

Sometimes it is.

But there is a problem hiding underneath all the speed:

AI made content easier to produce.

It did not make judgment easier to replace.

And that is where a lot of teams are going to get exposed.

Because when everyone can create more, “more” stops being an advantage.

The advantage shifts to taste.

What to say.
What to cut.
What to repeat.
What to make sharper.
What to ignore entirely.

That is the new bottleneck.

AI did not eliminate the need for marketers.

It changed where marketers create value.

The value is no longer just in producing the thing.

The value is in knowing:

AI can help you make more.

But it cannot automatically tell you what deserves to exist.

That is the part teams are underestimating.

A mediocre idea can now become ten mediocre assets in an afternoon.

A vague point of view can become a full content calendar.

A weak message can be repurposed across every channel faster than ever.

That is not leverage.

That is scaled blandness.

The teams that win with AI will not be the ones that simply publish the most.

They will be the ones with the strongest editorial judgment.

They will know how to use AI to compress production while raising the standard.

Not more content.

More useful content.

More specific content.

More opinionated content.

More content with a reason to exist.

Here is the pattern I would watch for.

A company decides it needs to “do more content.”

So the team uses AI to generate:

Everything looks fine.

That is the dangerous part.

The grammar is clean.
The structure makes sense.
The tone is acceptable.
The points are broadly true.

But none of it has edge.

There is no strong opinion.
No lived insight.
No tension.
No memorable phrase.
No reason someone would stop, forward, argue, reply, or remember it.

It reads like marketing content.

Which is exactly the problem.

The issue is not that AI wrote it.

The issue is that no one edited it with taste.

A stronger team uses AI differently.

They do not ask:

“Can we make ten posts from this?”

They ask:

“Which of these ten is actually worth publishing?”

They look for:

Then they cut the rest.

That is the difference.

Weak teams use AI to increase volume.

Strong teams use AI to increase iteration speed until the work gets sharper.

Take one piece of AI-assisted content and run a taste audit.

Do not ask if it is “good.”

That question is too vague.

Ask these instead:

1. Is there a real point of view?
Or is it just a summary of what everyone already knows?

2. Is there one line worth remembering?
If nothing is quotable, the piece is probably forgettable.

3. Is there any proof or specificity?
Generic claims create generic trust.

4. Would this still be useful if five competitors published the same topic this week?
If not, the angle is too weak.

5. What should be cut?
Most AI-assisted content improves faster through deletion than expansion.

Then make one improvement before publishing.

Not a rewrite.

A sharper edit.

Add a stronger opening.
Cut the obvious section.
Insert a real example.
Make the claim more specific.
Replace a soft line with a point of view.

That is where the leverage is.

Here is the editorial filter to steal:

AI can draft the average. Your job is to find the exceptional.

Use that before publishing anything AI helped create.

You can also use this prompt with your team:

What part of this would our audience actually remember tomorrow?

If the answer is “nothing,” do not publish yet.

Make it sharper.

A good content workflow now needs two layers:

Production layer:
Use AI to generate, organize, summarize, and accelerate.

Taste layer:
Use human judgment to select, sharpen, cut, and decide.

Most teams are overbuilding the production layer.

The opportunity is in the taste layer.

The internet is about to get flooded with competent content.

Not great content.

Competent content.

Clean posts.
Acceptable articles.
Decent emails.
Reasonable summaries.
Average advice written faster than ever.

That means average will get cheaper.

Taste will get more valuable.

The marketers who win will be the ones who can say:

“This is the idea.”
“This is the angle.”
“This is the line.”
“This is the proof.”
“This is not worth publishing.”

That kind of judgment is hard to automate because it comes from context, pattern recognition, experience, and nerve.

AI makes it easier to make things.

But marketing still rewards people who know what matters.

Look at one piece of content you are about to publish and ask:

Is this actually worth saying, or was it just easy to make?

That answer will tell you a lot.

If this issue was useful, forward it to one marketer who should read SundayMarketer before Monday starts.

— The Sunday Marketer