Consumer AI Has a Problem Nobody's Naming

YouTube/Podcast · ~32 min · Podcast · YouTube · Substack

• The “anticipation gap”: current AI agents remain reactive — users must remember, translate tasks into prompts, and supervise results. The agent does not anticipate what you need next.
• Permission ladder framework: read-only → notify + propose → execute with confirmation → autonomous. Most consumer products are stuck at levels 1–2; the gap to level 4 is the real retention and habit-formation frontier.
• Why consumer AI retention is weak despite high initial engagement: reactive agents are useful but not habit-forming. Anticipatory agents would be both — but require the trust infrastructure (permission ladders) that most products haven’t built.