Generative tools make production abundant. The durable advantage shifts to editors, institutions, and leaders who can recognize what deserves attention.
A creative team can now begin the morning with more options than it could once produce in a month. ChatGPT can propose a field of headlines; Midjourney can generate visual directions; Adobe Firefly can accelerate variations inside an established workflow. By lunch, the problem is no longer how to make something. It is how to decide which of hundreds of plausible things should exist.
The review meeting therefore becomes the real site of value. Someone has to recognize the image that is polished but generic, the sentence that is fluent but empty, and the concept that resembles the brand without advancing it. That work is difficult to display in a productivity chart because its output is often subtraction: fewer options, sharper standards, a more coherent final choice.
As generative AI floods the market with infinite content—copy, images, music, code, design—a structural inversion becomes visible. The machine has become the commodity. Human judgment has become the asset.
For decades, scarcity lived in production: only so many restaurants could open, magazines could be printed, films could reach theaters. Taste was a sorting mechanism for that scarcity. Now production is infinite. Curation is what becomes rare.
Institutions and individuals capable of recognizing and articulating quality—of separating signal from noise—will command higher margins, larger audiences, and deeper influence than those merely generating output. This is infrastructure, not sentiment.
Production Was Never the Moat
When production becomes infinite, the decisive act is not generation. It is refusal.
This is why taste should not be confused with preference. Preference says what an individual likes. Taste is a trained capacity to compare an object with a context, a history, an audience, and a standard. It can be explained, contested, and improved. Institutions that treat it as a repeatable editorial discipline can use generative systems without allowing those systems to flatten their identity.
The last 15 years belonged to whoever could produce at scale. Platforms won. Algorithms optimized for volume and engagement. The bottleneck was supply; whoever generated it fastest or cheapest captured value.
AI has dissolved that advantage. A founder now generates 100 pieces of copy as easily as one. A designer mocks up 50 concepts. A marketing team produces dozens of video scripts. Marginal production cost approaches zero. Your competitor has identical access to identical tools.
What resists replication is judgment. Not technical judgment—that will follow. But the kind built through years inside an industry, wide reading across adjacent fields, understanding how decisions ripple through systems, knowing what an audience actually needs versus what an algorithm predicts it wants, and the restraint to reject something technically excellent but contextually wrong.
Taste is becoming the infrastructure layer.
Where Capital Actually Flows
Watch restaurants. Twenty years ago, opening one required capital, permits, real estate, and kitchen labor. Taste mattered, but so did volume and operational efficiency. The market rewarded scale.
Now: restaurant critics command larger audiences than ever. Three-table tasting menus in obscure locations attract global wealth. Personal chefs and consultants—whose primary skill is discrimination—charge five-figure retainers. A single essay reshapes a restaurant’s market position.
As AI-assisted cooking lowers the technical barrier to competence, differentiation moves upstream: sourcing, philosophy, culinary point of view. The chef becomes strategist and curator, not technician.
Fashion follows the same pattern. As design software becomes cheaper and faster, premium moves to taste—seeing two seasons ahead, understanding how a garment signals identity, coherent collections versus trend assembly. Designers become valuable not for sketch speed but for distinctive vision.
In publishing: as AI generates structurally sound prose on any topic, editorial value concentrates among editors with cultural fluency, institutional memory, and judgment about what matters and why. Writers become more valuable when paired with editors who read systems.
In strategy: as AI tools generate analyses and frameworks, the consultant’s value shifts to judgment calls—which analysis to trust, what data to discard, how to read a room, what the real constraint is. The consultant becomes a taste authority.
Taste Cannot Be Shortcuts
What makes this durable: taste is learned through systems, not compressed. You cannot become a person of taste through a course or conference. Taste requires years of proximity to quality work, mistakes, wide reading, institutional history, and judgment muscles built across domains.
This is antithetical to AI’s strength. AI accelerates once you know what to optimize for. It cannot decide what to optimize for. It cannot recognize that restraint beats abundance. It cannot see that a trend is exhausted before the market does. It cannot sense that an untested founder might reshape an industry. These require human conviction, pattern recognition from lived experience, intuition that resists training datasets.
Taste becomes a genuine moat. If you have built judgment that others recognize as reliable—through writing, curation, strategy, institutional leadership—you are harder to replicate than someone running optimization algorithms. An AI generates 1,000 restaurant recommendations. You remember the specific quality that distinguished the best meal you’ve eaten. That specificity holds value.
Institutions Built on Taste Win
Publications succeed not by publishing more, but by publishing better. As AI commoditizes generic content, editorial intelligence becomes more defensible. A newsletter with clear taste (Stratechery, The Economist Intelligence Unit, certain Substack writers) holds readers better than aggregate-everything models.
Brands win by having distinct point of view, not larger social presence. As AI generates social content at zero cost, the brand that stands out is the one whose taste is so clear that every decision—what to feature, what to release, what to refuse—signals values. This resists both imitation and automation.
Consultants and operators capture value by being taste authorities in their domain. The consultant who says “you’re copying everyone, here’s what works” commands higher fees than the consultant with better tools. The operating partner who has seen dozens of companies and knows which mistakes are fatal becomes more valuable. The advisor whose pattern recognition is legendary gets called first.
This shift is already visible. The highest-paid roles in tech cluster around taste and strategy, not execution. The most influential cultural voices have distinctive points of view, not maximum prolific output. The restaurants with longest waiting lists are often smallest, where the chef’s taste is most concentrated.
The Operational Shift
For operators: invest in taste as capital. Read widely. Spend time around quality work. Build relationships with people who have strong judgment. Make decisions slowly enough to reflect on why something works.
Resist the pressure to output at scale. The person or institution with a point of view wins against the one that merely executes faster. As AI commoditizes execution, the ability to say no—to recognize mediocrity regardless of metrics—becomes increasingly valuable.
Build institutions around taste, not efficiency. Hire for judgment. Reward people for recognizing quality. Build culture around discrimination and curation. Your competitive advantage is not optimization speed. It is knowing what is actually worth optimizing for.
As machines become better at generating output, the human ability to recognize which outputs matter becomes the scarcest—and most valuable—resource in the market.
