The “Taste” Era

📅 September 01, 2026
⏱️ 5 min read
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The “Taste” Era

AI can create.
Tools can execute.
Templates can replicate.

But taste?

That’s still human.

For years, the creative industry rewarded people who could make things.

A designer who could execute beautifully.
A filmmaker who could tell a story.
A copywriter who could write.
A creative director who could bring an idea to life.

But something is changing.

Today, the ability to create is becoming cheaper, faster and more accessible.

You can generate ten visual directions before your coffee gets cold. You can explore hundreds of ideas without a full production team. You can turn a rough thought into something that looks finished in minutes.

When everyone can make more, making more stops being the advantage.

The real advantage becomes knowing what deserves to exist.

That is where taste comes in.

Taste is not simply knowing what looks good.

It is knowing why something works.

Knowing what to remove.
Knowing when an idea is too obvious.
Knowing when to break a rule.
Knowing what feels fresh and what feels like something you have already seen a hundred times.

It is the instinct to say:

“This is technically good, but it doesn’t feel right.”

And equally important:

“This is not perfect, but there is something here. Let’s push it.”

That instinct is difficult to automate.

Because taste comes from exposure, curiosity, culture, experience, observation and judgement.

It comes from looking beyond your own industry.

A fashion designer understanding cinema.
A filmmaker understanding architecture.
A brand strategist understanding music and culture.
A UX designer understanding human behaviour.
A creative director understanding what is happening in the world—not just what is trending on their feed.

This is why the future creative professional may look very different from the traditional one.

Being good at a tool will still matter.
But knowing what to do with the tool will matter more.

And there is an interesting paradox here.

The more AI-generated content we see, the more valuable human perspective may become.

Because when everything can be polished, polish becomes less interesting.

When everyone can generate a visual, the idea behind the visual matters more.

When everyone can produce content, having something meaningful to say matters more.

When everyone can explore infinite possibilities, knowing which possibility to choose becomes the skill.

The creative industry may be moving from an era of execution to an era of judgement.

From:

“Can you make it?”

to:

“Should you make it?”

And perhaps that is the skill worth developing now.

Not just learning more tools.

Not just creating more work.

But developing the ability to see, question, connect, select and decide.

Because in a world where creation is becoming infinite,

taste may become the filter that matters.

Frequently Asked Questions

How does AI-driven personalization improve learning outcomes on enCODE?

Personalized learning at enCODE leverages machine learning models to analyze individual learning speeds, concept retention, and engagement styles. By understanding these metrics, our platform dynamically recommends custom reading paths, adjusts hands-on exercises, and serves practice challenges at the optimal level of difficulty. This customized feedback loop ensures students don't get bored by topics they have already mastered, nor do they get discouraged by advanced materials before they are ready, leading to significantly higher course completion rates.

Can enCODE's AI replace the value of human mentorship in education?

Absolutely not. enCODE uses AI to automate administrative grading, analyze data trends, and provide instant conceptual feedback. This actually frees up our industry mentors to spend high-value, quality time with students on deep-dive critiques, career direction, and complex problem-solving. AI serves as a powerful co-pilot that accelerates learning speed, but human mentors provide the crucial empathy, networking connections, and real-world guidance that machines cannot replicate.

What specific AI tools are integrated into the enCODE student workspace?

Students have access to an integrated AI assistant that operates within their coding, design, and writing workspaces. The assistant offers real-time syntax checking, interactive code explanations, design feedback based on UI principles, and writing suggestions. Furthermore, our AI helps students outline complex projects, identify performance bottlenecks in code, and simulate interview scenarios tailored to specific job descriptions from our industry partners.

How does the platform ensure that AI suggestions do not lead to plagiarism?

We emphasize AI as a learning facilitator rather than an automated content writer. The built-in AI workspace guides students through the problem-solving process by prompting them with structural questions and conceptual hints rather than direct solutions. Additionally, enCODE incorporates advanced code integrity check tools to ensure all submitted coursework represents original understanding and implementation by the student.

Are there prerequisites for students starting AI-powered courses on enCODE?

No, enCODE offers learning paths starting from absolute beginner levels. The platform's adaptive learning engine evaluates your background knowledge during onboarding and automatically configures foundation modules if needed. Advanced learners can test out of introductory concepts directly, allowing everyone to progress at their own comfortable and productive pace.

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