
Let Freedom: Political News, Un-Biased, Lex Fridman, Joe Rogan, CNN, Fox News 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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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.
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.
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.
