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AI makes 'yesterday's expert competence' cheap, leading to an abundance of decent but generic outputs (e.g., code, essays). This devalues standard work and increases demand for true experts who can add nuance, create systems, or produce something genuinely novel that stands out.
Copywriter Alex Cattoni applies basic economics to AI content: as a tool becomes more available, its output becomes less valuable. This flood of generic, AI-generated content creates a market premium for unique, human-driven creativity and critical thinking, which are now comparatively scarcer.
As AI commoditizes execution and intellectual labor, the only remaining scarce human skill will be judgment: the wisdom to know what to build, why, and for whom. This shifts economic value from effort and hard work to discernment and taste.
In fields like law and consulting, AI will automate the generation of work products (e.g., contract reviews). This commoditization will shift value upstream to uniquely human skills like providing strategic advice and experienced judgment based on the AI's output.
AI is not a great equalizer; it's a productivity multiplier for those who are already highly skilled. A top-tier engineer or writer can double or triple their output, while an average performer sees smaller gains. This dynamic is set to exacerbate the K-shaped economy, making the rich richer and the poor comparatively poorer.
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.
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.
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.
Capitalism values scarcity. AI's core disruption is not just automating tasks, but making human-like intellectual labor so abundant that its market value approaches zero. This breaks the fundamental economic loop of trading scarce labor for wages.
AI requires a "Human Sandwich" workflow, with a human framing the task and evaluating the output. Since AI generates competence based on past data, it floods the market with "good enough" work. This paradoxically increases the demand for high-level human experts who can provide the differentiation and value that AI cannot.
Contrary to the belief that accessible AI tools create competitive parity, the opposite is true. As the cost of a capability like software development drops, the skill in applying it becomes a greater differentiator. AI will sharpen competitive differences, not erase them.