Perplexity AI What VC's Are Looking For in AI Startups Today
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Mar 3, 2026 A look at what investors now value in AI startups: infrastructure, vertical SaaS, and systems that complete real work. Discussion of why proprietary data moats and execution-focused products beat thin UI wrappers. Covers the decline of generic integration tools and when lightweight AI apps can still win through rapid growth.
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Investors Want AI That Actually Completes Work
- VCs favor AI that completes tasks, not just chat interfaces or idea generation.
- Jaeden Schafer contrasts a chat sidebar with an agent that auto-generates podcast titles, descriptions, schedules posts, and fills metadata automatically.
Don't Build Thin Workflow Layers
- Avoid building thin workflow layers like generic horizontal tools or light PM software that agents can replicate easily.
- Focus on proprietary data moats and deep integrations so competitors or base models can't clone your value quickly.
Proprietary Data Moats Drive Valuation
- Vertical software without proprietary data moats is losing investor interest.
- Jaeden gives examples like owning FAQ/legal data or user behavior datasets that competitors can't easily copy.