AI Is Making Software Easier to Build and Harder to Buy

Innovation gets treated like a tech problem, but Patrick Keltner of Griffin Partners argues it's really about people and building the space to actually change. He breaks down why most of the 6,000 proptech startups don't move the needle, how his team builds with AI instead of building AI, and the buried tenant retention gap they found by fixing governance before touching the data. Also why trust and human judgment still matter when anyone can just hand the work to a model.

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00:00  What innovation actually means (people, not just tech)
02:00  Creating space for change without mandating it
05:45  Adopting AI outside the startup bubble
08:00  6,000 proptech startups and the point solution trap
13:00  The framework for buying vs building
16:00  Rolling out Claude, and the foundational model risk
19:00  Who's really paying for all these tokens
22:00  Lease abstraction and the snowball effect
24:00  Standing out with trust and the human component
30:00  His role as the connector between teams
36:00  The tenant retention data mess
37:30  Fix your governance before your data
40:00  The retention gap nobody underwrites for
43:00  Build with AI vs build AI, and deterministic predictors
47:00  The biggest unlock: an AI that manages the noise
50:00  Short-termism and wrapping up

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AI Is Making Software Easier to Build and Harder to Buy
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