AI makes generating high volumes of content easy, but this introduces "work slop" where quantity overwhelms quality. The new organizational challenge isn't production but sifting through excessive, low-value output. This shifts the most important work from creation to curation and judgment.

As AI drives the cost of content creation to zero, the world floods with 'average' material. In this environment, the most valuable and scarce skill becomes 'taste'—the ability to identify, curate, and champion high-quality, commercially viable work. This elevates the role of human curators over pure creators.

As generative AI floods channels with generic content, a pendulum is swinging back toward high-quality, nuanced creative. This 'AI slop' makes human judgment, taste, and institutional knowledge more valuable differentiators for brands.

AI excels at averaging existing data, pushing outputs toward the middle. This creates a premium on genuine human creativity, which is needed for differentiation and to produce standout content. AI isn't replacing creatives; it's increasing the demand for their unique vision and ability to generate extremes.

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.

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.

As AI automates orchestration and process management, the primary human contribution shifts to "taste making." This is the unique ability to apply judgment, creativity, and strategic nuance to elevate AI-generated work from average to exceptional, making it a critical new skill.

AI models are trained on past human work (code, articles, designs), making those skills cheap and accessible. This abundance creates homogenous, default outputs or "slop." Consequently, the market develops an urgent demand for human experts who can create something novel and differentiated, moving beyond the model's defaults.