Vertical AI workflow gap limits frontier models
Large frontier models lack domain-specific workflow data, requiring specialized integration tools and niche historical data to handle complex industry tasks.
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The story so far
- Open source LLMs squeeze frontier lab marginsPROF G MARKETS
- Open source pressures pricing, not TAM growthEXCESS RETURNS
- Open-source models raise data demand baselineTHE TWENTY MINUTE VC
- Second-wave AI shifts focus to cost optimizationTHE TWENTY MINUTE VC
- Vertical workflow SaaS resists AI disintermediationTHE TWENTY MINUTE VC
- Open source vs closed foundation modelsTHE TWENTY MINUTE VC
- Co-developing research and go-to-market in AIA16Z PODCAST
- Core enterprise infrastructure platforms maintain deep moatsTHE TWENTY MINUTE VC
- Vertical AI workflow gap limits frontier models · THIS IDEAA16Z PODCAST
- Value shifting from models to AI software productsTHE COMPOUND AND FRIENDS
- Enterprise AI's moat is in the application layerA16Z PODCAST
- Open source models outperform frontier for specific tasksA16Z PODCAST
- Frontier models remain essential for exploratory tasksA16Z PODCAST
- Open-source vs closed-source AI market splitALL-IN WITH CHAMATH, JASON, SACKS & FRIEDBERG
- AI industry rhymes with crypto's early hype cycleBANKLESS
- Value in AI will accrue at the application layerBANKLESS
HOW THE SHOWS HAVE DISCUSSED THIS THESIS OVER TIME · NOT A PERFORMANCE RECORD