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Taste as a Service: The Shift from Production to Discernment

When output becomes cheap, judgment becomes expensive. That is the labor shift many teams have not planned for.

AI has clearly disrupted production work. It has reduced the cost of generating text, ideas, visuals, and plans. That part is obvious. What is less obvious is the second disruption now hitting teams: decision quality is not scaling at the same rate as output.

I use the term Taste as a Service to name this emerging function. By it, I mean accountable judgment that turns abundant, plausible output into coherent decisions with clear ownership.

Here, taste is not personal preference. It is operational discernment: selecting, rejecting, and refining under high volume, with consequences for brand, product, trust, and strategy.

Most teams now have no shortage of options. They have a shortage of reliable judgment. In practice, this shows up as a familiar pattern: faster production, longer debates, weaker alignment, and final outputs that are fluent but unconvincing.

I have seen versions of this for years across translation, localization, and bilingual copywriting. Tools improved each cycle. The bottleneck stayed similar. The hardest part was rarely producing language. The hardest part was knowing what was actually fit for purpose, then owning that decision.

AI amplifies this gap because it increases plausible output. Plausible is dangerous. It looks done. It sounds correct. It passes quick review. But it can still miss audience, tone, timing, and intent.

That is why I see Taste as a Service as a distinct work layer. Its core function is judgment infrastructure:

In the next labor market phase, this function will become more explicit and more valuable. Organizations that keep measuring progress in output volume alone will move faster but decide worse. Organizations that build discernment capacity will convert AI speed into durable advantage.

Abundance does not remove the need for judgment. It raises the cost of weak judgment.