AI and modern development tools make it cheap enough to build software tailored to individual workflows and preferences instead of generic one-size-fits-all apps. The author argues hyperpersonalization—from custom agent dashboards to kid-specific learning apps—beats polished third-party software because the person using it cares most about making it work for themselves.

• Warhol's observation that everyone uses the same Coke no longer applies to software; AI now enables cheap, personalized tools that outperform generic alternatives for specific use cases.
• Friction compounds in workflows: small UX annoyances repeated dozens of times daily add up, and only the person actually doing the work can identify and fix them.
• Personalized content drives measurable learning gains—a 2013 study found ninth graders solved algebra problems faster and more accurately when problems matched their interests, with benefits persisting after personalization ended.