AI Can Write Your Caption. It Can't Tell You If Anyone Will Care.

Every marketing team I talk to right now has the same new problem: they can produce ten times the content they used to, and it hasn't moved a single meaningful metric. More output was supposed to be the win. Instead, a lot of teams have discovered that volume was never the bottleneck. Taste was.

The gap AI didn't close

AI is genuinely good at production — drafting, variations, formats, speed. It is not good at knowing which of those ten drafts is actually worth publishing, because that judgment depends on things no model has: what this specific audience is tired of hearing, what happened in the news yesterday that makes today's post read wrong, what your organization's credibility can and can't carry. That's taste. It's built from paying attention to real reactions over years, not from pattern-matching across the internet.

The teams struggling right now are the ones who quietly assumed more content, generated faster, would substitute for a point of view. It won't. It just means the mediocre content arrives on time now instead of late.

What taste actually looks like in practice

It's rarely glamorous. It's the person on the team who says "this is technically fine but it's not us" and can explain why in one sentence. It's knowing that a message that would land perfectly on one platform will read as tone-deaf on another. It's the instinct to kill a campaign concept that tests well but feels hollow, because hollow content erodes trust even when it performs.

I see this constantly in institutional communications, where the wrong tone doesn't just underperform — it actively damages credibility. A caption can be grammatically perfect and strategically catastrophic. AI won't flag that. A person with taste will.

So what do you actually do with the tools

Use AI to widen the field of options, not to make the final call. Let it generate ten headlines, ten angles, ten structures — that's genuinely useful, and it's faster than staring at a blank page. Then apply the thing it can't replicate: does this actually sound like us, does it respect the audience's intelligence, would we be comfortable if this became the thing we're known for.

The organizations that get this right in the next few years won't be the ones with the most AI-generated content. They'll be the ones who used AI to free up time for the part of the job that was always the hard part — deciding what's actually worth saying. That decision was never about typing speed. It's not going to become one now.

Sean Aloise

Sean Aloise, a Bay Area native born and raised in Daly City, California, has built a distinguished career in communications. He currently serves as Director of Communications for Campus Life Services at the University of California, San Francisco (UCSF).

http://www.seanaloise.com
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