Pika's Demi Guo launches 'AI Selves' — a personalized always-on avatar that learns and monetizes your expertise
Feb 26, 2026 with Demi Guo
Key Points
- Pika co-founder Demi Guo launches AI Selves, a personalized avatar trained on user data and voice that operates continuously as a scalable proxy for expertise monetization.
- The avatar learns through three inputs: imported content libraries, real-time correction during interactions, and identity itself, though bootstrapping sufficient self-documentation remains a practical constraint.
- Guo positions AI Selves as operating at baseline quality ten times faster than the original person, enabling experts to charge for access without direct availability.
Summary
Read full transcript →Demi Guo, co-founder and CEO of Pika, launched AI Selves, a product that creates personalized, always-on AI avatars trained on user data, voice, and knowledge.
The core value proposition is availability. An AI Self can help a user's family debug a tech problem, join a group trip the user can't attend, or field questions from people seeking access to the user's expertise. Guo positions it as a living extension of a person, not a static chatbot.
“We build something new which is called AI self where you can give birth to it, you can raise it, and it will grow with you — it becomes a living extension of you. It's infinite availability — 24/7 available, always on, can be everywhere. If you're a really genius marketing person, maybe other people can talk to her to gain more marketing knowledge and she can monetize off it.”
Training
The avatar learns from three sources. Users can import existing content such as podcast archives or writing to establish a baseline. The avatar learns continuously as users correct and guide it during real interactions, gradually absorbing taste and judgment. Identity itself carries weight too. A family member talking to an AI Self may not need perfect accuracy, just enough recognizable voice to feel like real access.
Expertise as a product
The commercial use case is selling access to expertise. A skilled marketer could let others consult their AI Self and charge for that access. Guo argues the AI version operates at comparable quality but ten times faster, making it a scalable proxy for knowledge work.
The product is early. Most people don't generate enough self-documentation to seed a convincing replica, and Guo doesn't fully resolve that bootstrapping problem. The continuous-correction loop is meant to close the gap over time, but the initial data wall remains real.
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