AI Will Commoditize Everything Except Taste
Most AI conversations start with the model. Which is faster. Which is smarter. Which scores higher on benchmarks nobody outside a research lab will ever care about.
This is the wrong conversation.
Within eighteen months, every team will have access to the same foundational models, the same APIs, the same fine-tuning frameworks, the same retrieval patterns. Capability is converging. Not slowly. Rapidly. And when capability becomes commodity, something else becomes the differentiator.
Taste.
The convergence nobody is pricing in
GPT-4, Claude, Gemini, Llama. The gap narrows with every release. What was a six-month advantage becomes a six-week advantage becomes no advantage at all.
The infrastructure is converging too. Vector databases. RAG pipelines. Agent frameworks. Every component of the AI stack is becoming available to everyone at roughly the same cost.
The most important question in AI product development is no longer what can we build?
It is how should it feel?
That question has no technical answer. It requires taste.
Taste is an economic argument
Taste is the judgment about how intelligence shows up in a product. What to show. What to hide. When to intervene. When to stay silent. How to compress a thirty-step workflow into three without losing the decisions that matter.
When every competitor has the same model, the same pipelines, and the same infrastructure, the only remaining differentiation is the experience. The experience is shaped by taste.
Taste is not polish. Taste is the moat.
The proof
At Taxa, we built an AI-native tax platform that secured $113M in funding. Thomson Reuters and Wolters Kluwer had the same AI capabilities. The same tax codes. Decades more data.
We had a question: What if Apple built this?
In five months, with a team of four, we built a product that compressed thirty-step workflows into three interactions. Clients did not ask about the model. They looked at the product and said: this is the first time tax software felt like something I wanted to use.
$113M did not follow a better algorithm. It followed a better product.
What cannot be automated
AI can generate interfaces, write code, suggest layouts. What it cannot do is decide what should exist. It cannot feel that a workflow is one step too many. It cannot know that the most powerful thing the system can do in a given moment is nothing.
AI accelerates execution. It does not replace judgment. The more execution is automated, the more judgment matters. The more judgment matters, the more taste becomes the defining competitive advantage.
This is not a temporary condition. It is the permanent state of the AI economy.
Capability is converging to commodity. Infrastructure is converging to commodity. Even speed is converging to commodity. Taste is the last moat. And the companies that understand this first will define the decade.
See this in practice: Taxa AI-native tax platform and human control of AI.
Related reading: Building AI-Native Apps with Taste, Startups Need Taste, Not Design Systems, and Zero-to-One Is a Taste Game.
Originally published on justinbartak.ai on Feb 17, 2026.
Common questions
If every company will have the same AI models, what actually becomes the competitive advantage?
Taste. Within eighteen months, every team gets the same models, APIs, and infrastructure. Capability converges to commodity. When that happens, the only remaining differentiation is the experience, and the experience is shaped by taste. Taste is the judgment about how intelligence shows up in a product. It is the last moat.
Can't AI just replace product and design judgment now that it writes code and generates interfaces?
No. AI generates interfaces, writes code, and suggests layouts, but it cannot decide what should exist. It cannot feel that a workflow is one step too many or know that the right move is sometimes nothing. AI accelerates execution. It does not replace judgment. The more execution is automated, the more judgment matters.
How do you win against incumbents who have more AI capability, more data, and a head start?
Build the better product, not the better algorithm. At Taxa, Thomson Reuters and Wolters Kluwer had the same AI, the same tax codes, and decades more data. With a team of four, we asked what Apple would build, then compressed thirty-step workflows into three. The product secured $113M. Capability did not win. Taste did. [Read the full article](https://justinbartak.ai/blog/ai-will-commoditize-everything-except-taste) or fetch the [markdown source](https://justinbartak.ai/blog/ai-will-commoditize-everything-except-taste.md).
