The conversation about AI and creativity keeps circling the wrong question. People ask whether the machine can create, as if the answer settles anything. It can generate, prolifically, and that is precisely why the interesting question lies elsewhere. When generation becomes free and universal - when anyone can summon a competent image, a passable draft, a plausible design in seconds - the ability to make things stops being a differentiator. Everyone has it. So what separates the work that matters from the ocean of work that merely exists? Here is the reframe worth carrying out of this article: in the age of AI, taste is the new moat. The scarce skill is no longer making; it is discerning - knowing what is good, and why, faster and more reliably than anyone else in the room.
A moat is whatever protects your value when the obvious advantages get copied. Production used to be one. It is being filled in as we speak. Taste cannot be filled in the same way, because it does not transfer with the tool. You can hand someone the same model you use; you cannot hand them your judgment. That asymmetry is the whole argument.
Generation is not the bottleneck anymore
For most of creative history, the constraint was supply. Making things well was hard, slow, and expensive, so being able to make them at all was a defensible position. You could build a career, even a reputation, on craft as production - on the simple fact that you could execute when most people could not.
That constraint is dissolving. The bottleneck is no longer how much competent work can be produced; it is which of the competent work is actually worth anything. When a brand can generate a hundred plausible directions in an afternoon, the problem is no longer generating the hundred-and-first. The problem is recognizing that ninety-nine of them are forgettable and one of them is right - and most people cannot tell the difference. That recognition is taste, and the flood of near-free generation makes it rarer and more valuable, not less.
This is why "the machine can create" is a non-event for anyone who works at the level that matters. Volume was never the hard part for serious creative leaders. Selection was. The age of AI does not threaten that skill; it puts it under a spotlight, because the world is filling with competent options and emptying of the discernment to choose among them.
What taste actually is
It helps to be precise, because taste gets dismissed as something vague and subjective, a matter of personal preference with no real substance. That is exactly wrong, and the misunderstanding is expensive.
Taste is trained judgment. It is the accumulated, internalized ability to tell good from merely plausible - quickly, often without being able to fully explain it in the moment, and reliably across cases. It is built the slow way: years of looking closely, choosing deliberately, being accountable for the choice, and learning from where it landed. A model can be steered toward taste by a person who has it, but it cannot originate taste, because taste is not a rule the machine can follow. It is a point of view formed by experience and consequence.
Notice the two properties that make it a moat. First, it does not transfer with the tool - giving a novice your software gives them your output ceiling, not your judgment. Second, it compounds rather than commoditizes: the more you exercise discernment, the sharper it gets, while the things AI does well get near-freeer for everyone simultaneously. An asset that strengthens with use while the alternatives weaken with abundance is the definition of a durable advantage. You can see this most clearly in disciplined design craft, where the value was never in producing marks but in knowing, instantly, which mark is right and why the others are not.
AI and creativity: why discernment becomes the differentiator
Play the dynamic forward. As generation approaches free and universal, two things happen at once. The supply of competent work explodes, and the buyer's ability to wade through it collapses. Both of those changes route value to the same place: the person who can reliably point at the one that matters.
In a scarce market, you compete on whether you can make the thing. In a saturated one, you compete on whether you can choose the right thing - and protect the audience from the ninety-nine that were not. That is a profound shift in what a creative leader is actually selling. The job moves from generating options to exercising judgment over them; from being a source of production to being a source of discrimination. When everything looks plausible, the rare and valuable capacity is knowing what is genuinely good, and being trusted to say so.
This is also why discernment resists automation in a way production does not. You can train a model on what has been good before. You cannot train it to have a stake in being right, or the formed sensibility that lets a person feel the difference between competent and alive. Taste is judgment with skin in the game, and that is precisely the part the tool cannot supply.
How to build taste, deliberately
If taste is the moat, the strategic question is how to widen it on purpose. It cannot be downloaded, but it can be developed, and the methods are unglamorous.
Look more than you make. Discernment is built by exposure to a great deal of work and the discipline of judging it - what is strong here, what is weak, and exactly why. Volume of attention sharpens taste faster than volume of output.
Decide, then face the result. Taste forms under accountability. Make real choices, ship them, and study how they landed. A judgment with no consequence does not teach; a judgment you had to stand behind does.
Articulate the why. Push yourself past "I like this" to "this is good because." The act of naming what makes work strong is what converts a vague reaction into a reusable, reliable instinct. This is the discipline behind any serious branding practice - not generating identities, but being able to say precisely why one is right and the rest are noise.
Use AI as a generator, never as a judge. Let the machine flood you with options; reserve the selection for yourself. Outsourcing production sharpens your time. Outsourcing discernment surrenders the only thing that was ever the moat.
Key takeaways
- AI and creativity is not a question of whether the machine can generate - it can - but of who can discern, which is the scarce skill now.
- When generation becomes free and universal, the bottleneck moves from making things to selecting which things are actually worth anything.
- Taste is trained judgment: it does not transfer with the tool and it compounds with use, which is exactly what makes it a durable moat.
- Build it by looking more than you make, deciding under accountability, articulating the why, and using AI to generate while you reserve the judging.
Frequently asked questions
Can AI have taste? AI can be steered toward good outputs by a person who has taste, but it cannot originate taste. Taste is trained judgment formed by years of choosing under consequence - a point of view, not a rule the machine can follow.
Why does taste matter more as AI improves? Because AI makes competent production universal, which floods the market and makes selection the hard part. The ability to tell good from merely plausible - and to be trusted to do so - becomes the scarce, defensible skill.
Can you develop taste, or are you born with it? It is developed. Looking closely at a great deal of work, making real choices and facing their results, and learning to articulate why something is good all sharpen discernment over time. It compounds with deliberate practice.
Sharpening your own judgment is some of the highest-leverage work there is right now, and it is exactly what I do with founders and creative leaders on my work with me page. For the broader picture of how the economics shift when production gets near-free, my piece on AI and the future of creative work is the natural companion to this one.
This article is for informational and educational purposes only and does not constitute financial, legal, tax, medical, or professional advice. Individual results vary.