Taste Matters More Than Ever in the AI Era: Your Only Moat

A designer friend recently told me something that stuck: “AI can generate an image in seconds, but it took me ten years to learn what makes an image good.”

That single observation captures a shift many people haven’t fully grasped yet: when “making things” becomes trivially easy, “choosing what to make” becomes the hardest part.

The Barrier to Creation Has Disappeared

Think about how long it used to take to learn a craft.

Coding, illustration, video editing, music production — each required months or years of deliberate practice. Now?

• Claude Code writes software from natural language descriptions
• Midjourney turns a handful of keywords into polished artwork
• Suno composes a full song from a hummed melody

The barrier to creation has effectively been erased in our lifetime.

This should be a good thing. But it raises a harder question: when everyone can generate content effortlessly, what actually deserves to exist in the resulting ocean of output?

That is why taste has suddenly become the most valuable skill.

What Is Taste, Exactly?

Let’s be clear about what taste is not. It’s not snobbery. It’s not “I like expensive things and you don’t.”

Debris Studio defines it well:

Taste isn’t a shallow preference — it’s a form of literacy, the ability to read the world. It’s a trained instinct, built through exposure, study, and reflection.

In practical terms, taste is your ability to judge what “good” looks like.

That judgment shows up everywhere:

Steve Jobs put it bluntly in 1995:

“The only problem with Microsoft is they just have no taste… I don’t mean that in a small way, I mean that in a big way.”

He followed that with: “Great products are a triumph of taste.”

That statement has aged remarkably well.

Why Taste Matters More in the AI Era

AI Is a Mirror, Not a Compass

Jia Yangqing, one of the architects behind modern AI frameworks, has noted that building models is fundamentally an exercise in worldview — it reflects what the creators believe “good AI” should look like.

Yang Zhilin, founder of Moonshot AI (Kimi), put it even more directly: “All comes down to taste.”

The point is clear: AI can generate endlessly, but it doesn’t know what should be generated. It mirrors whatever you feed it. It has no sense of direction.

Direction comes only from humans. That’s taste.

When Production Cost Hits Zero, Curation Becomes the Core Skill

Skilled painters used to be scarce. Now, people who can select the right painting are scarce.

This is a fundamental shift.

According to Bain & Company’s innovation research:

“AI struggles to produce truly disruptive ideas, making humans an essential part of the process.”

AI excels at pattern matching — learning from existing data and recombining within known spaces. But defining what “new good” looks like is something it cannot do.

Taste Is the Only Moat That Can’t Be Copied

Skills can be learned. Knowledge can be retrieved. Processes can be automated.

But taste?

Taste is the compound product of every experience, every book, every failure, every conversation you’ve ever had. It fuses cultural context, aesthetic intuition, and value judgment into something uniquely yours.

As Han Xu, Vice Dean of the China Academy of Art, noted:

“AI can generate works faster and faster, but it cannot generate a person’s intuition, experience, judgment, emotion, and the originality that emerges from a specific cultural background.”

That “originality” is what taste looks like from the outside.

Taste in Practice: Three Examples

Example 1: AI-Assisted Coding

Without taste: Accept whatever code AI generates. If it runs, ship it.

With taste:

• Know which design patterns fit the situation
• Judge whether AI output aligns with the project’s existing architecture
• Proactively refactor AI code for clarity and maintainability

Same AI, same tools — radically different output quality.

Example 2: Content Creation

Without taste: Publish whatever AI generates. Optimize for volume.

With taste:

• Use AI for rapid first drafts, then invest time in refinement
• Understand what content delivers genuine reader value vs. empty clickbait
• Maintain a distinctive point of view instead of chasing algorithmic trends

Example 3: Product Design

Without taste: Add every feature users request. More is better.

With taste:

• Distinguish core features from distractions
• Find the “just right” solution among infinite possibilities
• Have the courage to say no and remove features

This is what Jobs meant by: “Focus is about saying no.”

How to Develop Taste

The good news: taste can be cultivated.

The bad news: there are no shortcuts. It takes time.

1. Expose Yourself to Great Work

This is the foundation.

• Study excellent design, read insightful writing, use well-crafted products
• Step outside your comfort zone regularly
• Actively investigate why something is considered good

Taste is built through exposure, not imagination.

A practical tip: build your own “reference library.” Collect things that make you think, “This is genuinely good” — a code snippet, a product interaction, an article, a piece of music. Review it periodically and articulate what makes each example excellent.

2. Analyze Deliberately

Seeing isn’t enough. You have to think.

• When you encounter great work, ask: what specifically makes it great?
• When you encounter bad work, ask: what specifically makes it bad?
• Compare: how do different people approach the same problem? Where do they diverge?

Deliberate analysis transforms taste from a vague “feeling” into a structured understanding.

3. Practice Extensively

Theory without practice stays shallow.

• Build things, even if the results are imperfect
• Reflect afterward: what could be better?
• Compare your work to work you admire and identify the gaps

Ken Kocienda, a former Apple engineer, described Apple’s design philosophy:

“Use past work as a benchmark for developing good taste.”

Every piece of work you create trains your taste.

4. Seek Honest Feedback

Your own taste has blind spots.

• Find people with better taste and ask for their honest assessment
• Listen for criticism, not just compliments
• Treat negative feedback as a directional signal, not a personal attack

5. Be Patient

Taste develops over years, not weeks.

Don’t expect to develop refined taste from reading a few articles or learning a few techniques. It requires sustained effort and reflection.

But here’s the upside: in an era of instant gratification, fewer people are willing to invest that time. Your patience is itself a competitive advantage.

A Counterintuitive Prediction

Many worry that AI will homogenize human output — everyone uses the same tools, so everything starts looking the same.

My view is the opposite:

AI will widen the gap between people with taste and people without it.

Why?

• Without taste: AI homogenizes your output. Everything looks generic.
• With taste: AI amplifies your uniqueness. Your output becomes more distinctively yours.

Research from Fudan University supports this:

“AI’s strength lies in efficiency and precision, while humanity’s unique value lies in creativity, insight, and leadership — core capabilities that cannot be replaced by algorithms.”

Taste is the heart of those irreplaceable capabilities.

The Bottom Line

Back to my designer friend.

What he spent ten years developing wasn’t the ability to use design software — AI can do that in seconds.

What he developed was: knowing what’s good, understanding why it’s good, and figuring out how to make it better.

That’s taste.

In the AI era, everyone needs to ask themselves one question:

When anyone can easily “make things,” what will set you apart?

The answer probably isn’t how many new tools you’ve learned. It’s how deeply you understand what “good” actually means.

References

• The Rise of Taste - Debris Studio
• Generative AI and the Role of Human Taste in Creative Direction
• Sam Altman: The Intelligence Age
• The 6 Pillars Of Steve Jobs’s Design Philosophy