If intelligence is becoming a commodity, then something else becomes precious.

When you can generate a thousand solutions to a problem with a prompt, the question is no longer “can I get an answer?” The question becomes “which answer is good?”

When you can write code, design systems, draft strategies, analyze data, or explore ideas simply by asking, the bottleneck shifts. It is no longer thinking capacity. It is judgment.

We have not fully reckoned with this shift yet.

For the last fifty years, expertise meant knowing things. A doctor knew anatomy and pharmacology. An engineer knew physics and materials science. A designer understood aesthetics and user behavior. A strategist understood markets and competition. You paid for their knowledge.

But if knowledge becomes instantly accessible - if a model can retrieve or synthesize any fact in seconds - what exactly are you paying for?

You are paying for taste.

Taste is the ability to look at many options and recognize which one is right. Not just technically correct, but right. Elegant. Insightful. The kind of rightness that makes others say “yes, that’s it” before they fully understand why.

Taste is recognizing that a piece of code is not just functional but beautiful. That a design is not just usable but delightful. That an argument is not just logically sound but persuasive. That a product is not just viable but the thing people actually want.

Taste is what separates a thousand generated solutions from the solution.

We have always known that taste matters. Designers have always talked about it. Musicians know it. Artists know it. Filmmakers know it. The best engineers have it - they somehow build systems that feel right, that scale gracefully, that surprise you with their elegance.

But historically, taste was a secondary skill. First, you had to be competent. You had to know your field. You had to understand the constraints. Only then could taste elevate your work from good to exceptional.

Now that knowledge is not the constraint anymore, taste becomes primary.

This is already happening. The difference between an average AI-generated image and a beautiful one is not the AI - it is the person crafting the prompt, iterating, discarding candidates, recognizing when something clicks. The difference between code that technically works and code that other engineers want to read is not the ability to generate functions - it is judgment about structure, clarity, and design.

The person with taste is now the one directing the intelligence, not the one providing it.

This has ripple effects everywhere.

It means that the skills that matter most are the ones that cannot be automated: judgment, taste, discernment, vision, and wisdom. These are the things that distinguish between having infinite options and knowing which one to choose.

It means that editing becomes more valuable than creation. Curation matters more than generation. The ability to say “no” - to reject a thousand solutions and hold out for the right one - becomes a rare and valuable skill.

It means that experience still matters, but for a different reason. You need experience not to know facts, but to develop taste. To have seen enough examples, failed enough times, studied enough masters, that you can recognize rightness when you see it.

It means that domains where taste is central - design, strategy, vision, taste-making - become more valuable, not less. And domains where merely processing information was the bottleneck - data entry, report writing, routine analysis - become nearly worthless.

It means that the best competitive advantage is no longer what you know, but what you choose. The company that can ask the right questions, combine insights in novel ways, and recognize promising ideas from a sea of possibilities will outcompete the company with more engineers.

It means that human judgment becomes the scarce resource.

The irony is profound. We built AI to augment human intelligence. But what we have really done is liberated the parts of intelligence that matter most - the parts that cannot be commodified.

A model can generate a thousand business strategies. It cannot decide which one to pursue.

A model can write a thousand essays. It cannot choose which idea is worth developing.

A model can design a thousand interfaces. It cannot decide which one users will love.

The machine handles the hard part (generating options) and leaves the impossible part (choosing wisely) to humans.

This suggests something important about the future of work and value. If you can be replaced by a prompt, you probably will be. But if your contribution is taste - the ability to recognize what matters, what is beautiful, what is true, what is worth building - then you are becoming more valuable, not less.

The best creatives, strategists, executives, and designers are not worried about AI. They are excited. Because AI turns everyone into a generator of possibilities, which means discerning judgment becomes the thing that separates exceptional work from mediocre work.

It also suggests that education needs to shift. If knowledge is free, then teaching people facts is almost pointless. What matters is teaching judgment. How to recognize quality. How to ask good questions. How to develop taste. How to think clearly about what matters.

And it suggests that in a world of abundant intelligence, wisdom - the ability to know not just what you can do, but what you should do - becomes the most human and most valuable contribution we can make.

Intelligence is becoming infrastructure.

Taste is becoming power.

And for the first time in history, humans have the opportunity to focus entirely on the things that machines cannot do: deciding what is worth building, recognizing beauty, exercising judgment, and choosing wisely.

That is not a threat.

That is an invitation.

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