AI Social Due Diligence: 12 Questions Investors Should Ask Founders
Twelve due-diligence questions for AI social startups covering retention, inference economics, identity rights, creator supply, safety, distribution and defensibility.
Twelve due-diligence questions for AI social startups covering retention, inference economics, identity rights, creator supply, safety, distribution and defensibility.
The AI companion market contains distinct jobs: everyday conversation, entertainment, creator access, roleplay and personal development. Each implies different economics.
Creator AI businesses compete on distribution as much as technology. Audience ownership, attribution, onboarding and cross-platform funnels shape durable economics.
Persistent AI personas require identity infrastructure for memory, policy, multimodal consistency, permissions and versioning beyond the foundation model.
A practical framework for AI social unit economics across acquisition, payer conversion, retention, inference cost, creator share and contribution margin.
AI agents act on behalf of users; AI personalities build ongoing interaction with them. The distinction could shape two different consumer AI markets.
A practical market map for AI social: foundation models, identity systems, multimodal interaction, creator distribution and monetization infrastructure.
Text models are increasingly commoditized. In consumer AI social, the harder advantage may be consistent identity across voice, images, video, memory and real-time interaction.
How creator-owned AI personalities can create scalable fan engagement, recurring revenue and new platform economics without replacing a creator’s public content.
A deep-tech view of the infrastructure required for persistent AI personalities, from memory and orchestration to media generation, safety and cost control.
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