AI makes average creative work cheap and abundant. When production cost approaches zero, the competitive moat shifts from *ability to produce* to *ability to curate and differentiate*. Three assets survive: 1. **Trust** — Real human presence and track record as premium signals (skin in the game, reputation at stake) 2. **Taste** — Genuine judgment in selection and presentation, not pattern-matching on training data 3. **High-friction methods** — Deliberately choosing hard-to-automate approaches as differentiation The "death of the average" means average skill stops being a viable market position — you must be either cheap (AI) or distinctive (taste). ## Related Concepts - [[Judgment as Durable Moat]] — Taste and judgment as the scarce resource when AI commoditizes execution - [[Judgment Over Execution Premium]] — Economic value shifts to judgment as execution cost approaches zero - [[AI Senior-Junior Pipeline Paradox]] — Structural impact of AI on expertise development and the judgment pipeline - [[Agency as Meta-Skill for AI Age]] — Direction-setting becomes the differentiator when AI handles implementation ## Cross-Domain Applications - **Content creation**: Distinctive voice and editorial judgment become more valuable as AI commoditizes generic output - **Career strategy**: "Be so distinctive they can't replicate you" — taste and judgment as career moats - **Product development**: Opinionated design and human curation (Apple model) widen advantage over commodity alternatives ## Critical Analysis Assumes AI output remains recognizably generic. The trust component — real human with real reputation — remains structurally resistant to AI replication because it requires identity, not just capability. ## References - Source: [[The death of the average]] (Tim/@timgedenk, November 2025) - https://x.com/timgedenk/status/1994787331526606964/ *Last updated: 2026-03-17*