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What VC's Are Looking For in AI Startups Today

Mar 3, 2026
Investors now favor AI that actually completes tasks and embeds into mission-critical workflows. There is a push toward vertical SaaS and AI-native infrastructure with proprietary data moats. VCs are steering clear of thin workflow layers, generic wrappers, and shallow product depth. Execution and ownership of workflows trump surface-level UI wins.
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INSIGHT

VCs Want AI That Actually Completes Work

  • VCs prefer AI that completes tasks rather than conversational overlays.
  • Aaron Holiday highlights AI-native infrastructure, vertical SaaS on proprietary data, and systems of action that actually execute work.
ADVICE

Avoid Thin Workflow Layers

  • Avoid building thin workflow layers or generic horizontal tools that agents can replicate.
  • Investors deem surface-level analytics and light product management defenseless without deep integrations or unique data.
INSIGHT

Proprietary Data Is The New Moat

  • Proprietary data moats now determine vertical software defensibility.
  • Abdul Abdirhan says owning unique datasets or user behavior logs separates startups from plug-and-play model competitors.
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