Why So Much AI Content Falls Flat ... and what Marketing can learn from Wine

In a world of AI-generated content and increasing noise, why are so many ideas falling flat? This article explores how context, not just content, shapes outcomes.

CONSULTING INSIGHTSDIGITALTEACHING AND LEARNINGPERSONAL REFLECTIONAI

Syd Pereira

4/6/20264 min read

clear wine glass on table
clear wine glass on table

Why So Much AI Content Falls Flat ... and what Marketing can learn from Wine

We’re producing more content than ever.

With AI, it’s faster, easier, and cheaper to create posts, campaigns, and strategies at scale.

But we’re also seeing something else.

More content that feels the same.

More polished outputs that don’t really resonate. More ideas that look and sound right, but just simply don’t land.

Call it AI overkill. Call it content fatigue. Some are calling it “AI slop.”

Whatever the label, the result is the same.

More noise. Less impact.

Not because the ideas are bad, but because they’re missing something we don’t talk about enough:

Context.

A quick detour (a personal one)

If you know me on a personal-level, you probably know I enjoy a good glass of red wine.

I’m not at the level of taking formal WSET courses or seriously pursuing sommelier training yet (although I’ve definitely thought about it), but I’ve started paying a bit more attention to what I’m drinking.

Not just whether I like it, but why.

Why two wines that seem similar can taste completely different. Why the same grape shows up differently depending on where it’s grown.

That curiosity got me to the term "terroir". [and now, of course, I keep coming across it everywhere 😉. ...but that's for another story 😜]

Terroir, simply put

Terroir is the idea that where something comes from ... its environment, climate, soil, and conditions ... shapes how it turns out.

It explains why the same grape variety can produce very different wines depending on where it’s grown.

And the more I think about it, the more it feels like a better way to understand something we seem to struggle with in marketing:

Why the same idea works in one place, but fails in another.

The problem with how we approach marketing In both classrooms and industry, we often default to:

  • frameworks

  • best practices

  • platform strategies

  • approaches and case studies that worked somewhere else

None of these are wrong.

But they’re often applied as if they exist independently of context.

Students ask:

“What platform should I focus on?

Teams ask:

“What’s the best strategy for this?”

What they’re really asking for is certainty.

But what they actually need is context.

Terroir, but for marketing

If terroir shapes how a wine tastes, then context shapes how marketing is received.

Not just the audience, but:

  • timing

  • platform culture

  • economic conditions

  • trust levels

  • prior experiences with a brand

  • even the emotional state of the audience in that moment

The same message, delivered in two different contexts, can land in completely different ways.

And we see this all the time.

A campaign that performs well in one region falls flat in another. A post that resonates on one platform feels out of place on another. A strategy that worked last year suddenly stops working.

That’s not inconsistency.

That’s context doing its job.

Where this shows up most clearly

In The Classroom

I can teach the same concept across different cohorts and get completely different outcomes.

Same slides. Same examples.

But:

  • different student backgrounds

  • different levels of confidence

  • different cultural perspectives

…and the discussion shifts.

The content doesn’t change. The environment does.

Across Disciplines

One of the most interesting things I’ve seen through collaborative learning is how ideas behave when they move across disciplines.

A marketing concept that feels obvious in one context becomes unclear when introduced to:

  • sustainability students

  • business strategy students

  • communications-focused groups

Suddenly, assumptions get exposed.

Language matters more.

And what felt like a “best practice” has to be explained from first principles.

That’s a good thing.

It forces clarity.

In Digital Strategy

We often talk about platforms as tools:

  • TikTok

  • LinkedIn

  • Instagram

But they’re not just tools. They’re environments.

Each has its own:

  • norms

  • expectations

  • signals of credibility

What works on one doesn’t translate cleanly to another.

Not because the tactic is wrong, but because the context is different.

Why this matters more now

AI is making it easier than ever to generate content, strategies, and ideas.

But most outputs are built on averages.

They’re:

  • generalized

  • decontextualized

  • optimized for what usually works

That’s useful as a starting point.

But it also means something important:

The challenge isn’t that AI produces poor content.

It’s that it produces average content at scale.

And when everyone has access to the same tools, trained on similar data, the outputs start to converge.

That’s where context becomes the differentiator!

So what actually matters?

Not just knowing what to do, but understanding:

  • when to apply it

  • where it fits

  • who it’s really for

  • and why it works in one situation but not another

This is where judgment starts to matter more than checklists.

It’s also where a lot of frustration comes from, especially for students and early-career professionals trying to “get it right.”

There isn’t a single right answer.

There’s alignment.

A simple shift

Instead of asking

“What’s the best strategy?”

A better question is:

“What does this situation require?”

That one shift changes everything.

Final thought

I’m still learning more about wine.

But I do know this:

Two bottles made from the same grape can taste completely different depending on where they come from.

Marketing isn’t that different. The idea might be the same.

The outcome depends on everything around it.

Syd Pereira is a digital marketing strategist and educator exploring how trust, context, and technology shape communication. He writes about social media, AI, and learning.

This post is part of a growing collection of insights and resources, available on my [Resources page].

Good conversations start simply

If this resonated, I’m always open to a thoughtful conversation.

Whether it’s about strategy, teaching, or how these ideas apply in your context, feel free to reach out