Taste Is the Moat: Why Better Systems and Sharper Judgment Will Define the Next Era of Brands

At Adobe Summit 2026, Shantanu Narayen made the volume problem official. Every channel, every device, and every format is now demanding more creative assets at greater scale than ever before. The message landed exactly where every CMO already lives, the inbox is overflowing, the calendar is full, and the ask is always more.

But the most important line of the keynote wasn't about volume. It was the warning underneath it. "Speed is not enough," Narayen said, and the bar for differentiation, in his words, has risen exponentially.

That's the part most marketing teams are still digesting. AI didn't just lower the cost of making content; it raised the price of making something memorable.

The Volume Trap

Here's the uncomfortable math. If everyone has access to the same models, the same prompts, the same templates, and the same outputs, then "more" stops being a strategy and becomes the floor.

The brands flooding feeds with AI-generated assets are discovering this in real time. Yes, the work is definitely faster, and it's certainly competent, but it's also entirely interchangeable. We're entering the era of beige content – technically polished, brand-shaped, and completely forgettable.

The brands that win the next decade won't be the ones producing the most content. They'll be the ones producing content that could only have come from them, and that's a taste problem, not a tech problem.

What Taste Actually Means

Taste isn't an aesthetic preference, and it's not "we like serif fonts" or "we don't do neon." Taste is the accumulated judgment of thousands of small decisions. What to include, what to cut, what to celebrate, what to refuse. It's the thing that makes an Aesop window unmistakable on a street, makes a Bottega campaign readable from across a room, and makes an A24 trailer identifiable in three seconds with the sound off.

In a world where the cost of producing fine has fallen to near zero, taste is the new differentiator, and it's also the one thing AI can't generate for you. Taste is, by definition, a point of view, and points of view come from people who've earned them.

How to Develop It

You don't buy taste, you build it, and it requires three things most marketing organizations have stripped out in the rush to scale.

Exposure. The teams with the sharpest visual language hire from film, fashion, and architecture rather than from competitors. Taste sharpens through breadth, not through benchmarking your category against itself.

Friction. Taste is editorial judgment, which means saying no, a lot. Most brand drift happens because no one had the authority, or the time, to kill the asset that didn't belong.

Decisions. Taste is a muscle, and teams that approve everything build no muscle, while teams that debate, refine, and reject grow conviction.

This is the kind of work AI can't compress for you, and it has to happen before the AI gets switched on.

How to Make It Yours

This is where Narayen's quieter, more important point comes in. The enterprises that will win, he argued, are the ones running their own proprietary models trained on their own data and their own content.

The translation for marketers is that generic models produce generic outputs, so your brand's taste has to be codified, captured, and built into the systems that produce your work. That means its language, its visual grammar, its pacing, and its rules of refusal. Otherwise the AI will quietly average you toward everyone else.

That is what on-brand AI actually means. It isn't a guideline doc the AI references; it's a trained understanding of who you are, embedded in the workflow itself, and your point of view, operationalized.

Brand consistency, as Narayen put it, has moved from best practice to business-critical, and he's right, but only if there's a brand worth being consistent to. The model is downstream of the conviction.

The Real Work

The competitive advantage of the next five years isn't going to be who has the most content, or even the best AI stack. It's going to be who has the clearest point of view, the discipline to enforce it, and the systems to scale it without diluting it.

That's the moat, and it doesn't get built by the tools; it gets built by the people who decide what the tools are allowed to make.

If you're working out how to bring real taste to a high-velocity content engine, we'd love to talk.