Legal AI company Casetext was acquired by Thomson Reuters for $650M in cash after a strategic pivot to build a new product, CoCouncil, using early access to GPT-4.
The total addressable market for AI applications is orders of magnitude larger than traditional SaaS, as it's anchored to the combined salaries of the human labor being assisted or replaced.
Building a successful, production-ready AI product requires deep domain expertise to deconstruct professional workflows and create rigorous evaluation frameworks to ensure high accuracy.
A "mass extinction event" is predicted for AI startups that raise capital on flashy demos but fail to build reliable products, with many masking poor performance with revenue from pilot programs.
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Concerns Raised
A "mass extinction event" is coming for AI startups who can't move beyond flashy demos that are only 60-70% accurate.
Many startups are masking poor product performance with revenue from pilot programs that won't convert to full contracts.
Building reliable AI is an incredibly difficult grind of iterative prompting and evaluation that many teams will give up on.
Opportunities Identified
The addressable market for AI is massive, equivalent to the salaries of the jobs being augmented or replaced.
AI enables the creation of products that solve previously 'unthinkable' problems due to scale and cost.
Founders with deep domain expertise can build highly defensible products that generic competitors cannot replicate.