AI Decouples Skill from Taste

AI has fundamentally changed the relationship between skill and taste in creative work. Here's how the landscape is shifting.

The skill vs. taste decoupling

• Previously needed both skill AND taste to create anything
  • Skill = technical knowledge, tool mastery, musical/artistic training
  • Taste = knowing what's cool, interesting, what you like
• AI has decoupled these - now you only need taste
• If you have both, you'll make better things, but taste alone gets you in the game
• Opens up fields that were previously completely inaccessible

Mass personalization as a major AI theme

• Last 15-20 years saw the invention of the personalized news feed
• Content shifted from "a little something for everybody" (newspapers) to "a hell of a lot just for you" (TikTok, Instagram algorithms)
• AI enables creating things for use cases that wouldn't have made economic sense before
  • "I wouldn't hire somebody to make this for me but if it takes me two seconds sure then we'll do it"

The multiplication effect for existing skills

• Wrong approach: Try to become top 1-10% in AI and compete with technical geniuses
• Right approach: Get to 50th percentile in AI and multiply it against your existing top 10% skills
• Don't compare yourself to people who are:
  • Technically brilliant
  • Working on AI 24/7
  • 22 years old with super plastic brains
• Instead: Use "just dangerous enough" AI knowledge to amplify what you already know from 10-20 years in your field

The opportunity expansion

• Musical chairs analogy: AI didn't just add more players, it massively increased the number of chairs
• Every product in every category is now up for grabs
• Plus entirely new categories that didn't exist before
• The opportunity set is so much bigger that increased competition doesn't matter
• "You'd rather have this huge multiplier on the number of possible ways to win and how easy it is to build than less people"

Real-world examples

• Music creation tools (Suno, Muse Art) let non-musicians create professional-quality songs
• One billion-dollar company doubled profit margin through three AI changes:
  • Improved customer support with AI
  • Made developers more productive
  • Replaced junior programmers who weren't good at using AI
• Companies need "as many as you can have" AI-capable people
• One CEO created an "AI general manager" to manage projects

The taste validation

• Rick Rubin (famous producer who can't play music) has been saying "taste is what matters" from the beginning
• AI music is already mainstream - top country songs, record deals for AI musicians
• Impossible collaborations now possible (dead artists with current artists)
• People creating personal playlists entirely from self-made AI music