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AI can generate output, but it cannot discern what is truly 'good.' To create high-quality, differentiated content, humans must cultivate their own sense of taste by actively consuming excellent writing and journalism. This discernment is the key human advantage over automation.
Generative AI is a powerful tool for accelerating the production and refinement of creative work, but it cannot replace human taste or generate a truly compelling core idea. The most effective use of AI is as a partner to execute a pre-existing, human-driven concept, not as the source of the idea itself.
When every company has access to the same powerful AI tools, the competitive advantage is no longer budget or technology. The real differentiator becomes human taste, judgment, and the ability to apply a unique point of view to guide the AI, separating average, generic output from exceptional work.
Creativity is simply remixing existing concepts, a task at which AI excels. Its current primary limitation is in selection. AI can generate a thousand options but doesn't know which one will best appeal to human taste, which requires a uniquely human ability to balance novelty and familiarity.
As AI democratizes the technical aspects of content creation, the ability to guide it with unique perspective, craft, and taste becomes the key differentiator. AI is a powerful tool for experts to scale their vision, but it cannot replace the vision itself.
'Taste' is a collection of specific preferences, not an abstract feeling. Document what makes an output 'good' by creating universal rules (e.g., 'write at a ninth-grade level,' 'avoid cheesy quotes,' 'no em dashes'). Feeding these documented rules to an AI transforms your subjective taste into repeatable instructions for consistent results.
The flood of AI-generated assets isn't a new problem but an amplification of an old one. It simply highlights that much of human-created content was already mediocre. AI removes resource barriers to production, making "taste" and "quality judgment" the true differentiators—skills that are now more valuable than ever.
Threads' Head, Connor Hayes, predicts that as AI generates infinite content, "taste"—the human ability to curate, select, and refine the best outputs—will become the critical differentiator. This applies both to creating compelling content and to training superior AI models with high-quality, hand-selected data sets.
The concept of "taste" is demystified as the crucial human act of defining boundaries for what is good or right. An LLM, having seen everything, lacks opinion. Without a human specifying these constraints, AI will only produce generic, undesirable output—or "AI slop." The creator's opinion is the essential ingredient.
Since AI can generate output rapidly, the differentiator is no longer speed but the quality of your judgment and clarity. AI acts as an amplifier; if your input lacks taste or direction, you'll simply produce "garbage faster." The most valuable skills become decision-making and refinement.
True taste isn't just recognizing good design; it's the judgment of when to innovate versus when to adhere to established patterns. This discernment, the ability to zoom in and out, is a uniquely human skill that current AI models cannot replicate.