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.

In its current form, AI primarily benefits experts by amplifying their existing knowledge. An expert can provide better prompts due to a richer vocabulary and more effectively verify the output due to deep domain context. It's a tool that makes knowledgeable people more productive, not a replacement for their expertise.

AI makes it easy to generate mediocre content, shrinking the gap between bad and passable. However, the effort required to create truly good, differentiating content has increased, widening the gap between what is passable and what is excellent, making true differentiation more difficult.

LLMs convince users they are more capable than they are while degrading their actual abilities. This is especially dangerous for developers, who may 'vibe code' their way to a mission-critical disaster by deploying complex systems they only superficially understand.

AI models are trained on vast datasets of existing knowledge. Like a librarian who has read every book, their answers represent an average of what they have 'read.' This makes AI an aggregator of existing ideas, not a generator of truly novel, outlier concepts.

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.

AI scales output based on the user's existing knowledge. For professionals lacking deep domain expertise, AI will simply generate a larger volume of uninformed content, creating "AI slop." It exponentially multiplies ignorance rather than fixing it.

AI commoditizes raw intelligence and execution but doesn't solve for creativity, taste, or insight. Every AI process ultimately terminates with a human needing to 'go do something awesome.' Therefore, personal excellence and unique abilities become more, not less, important for standing out.

Artificial intelligence acts as a great equalizer by regressing everything to the mean. For those in the bottom 50% of any skill, AI provides a significant boost. However, for those in the top 50%, it can be a detriment, pulling their unique, high-quality work back toward a passable, average standard.