When products and models converge, the moat is the institution — how a company attracts people, distributes authority and compounds judgment
When models improve fast, interfaces converge, and product velocity becomes cheap, the durable advantage moves to how a company attracts exceptional people, distributes authority, and compounds judgment over time
@JayaGup10 (Jaya Gupta) — The next biggest moat in AI · · 16 connections
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→ A frontier without an ecosystem is not stable — if a few models capture all value, the political economy won't tolerate it → AI compresses the distance between idea and execution but not between good and bad judgment → Great companies are wrappers around a kind of person — institutions that make a new kind of person possible → LLMs selectively destroy vertical software moats — 5 fall, 5 hold → Mission strength is measured by who it repels — the strongest missions make some people refuse to work there → Proprietary feedback loops create moats that widen with every interaction → The system of work is the moat, not the model — the model is fungible underneath
Referenced by (9)
← Building in AI is running a trading book — you're long some curves, short others, and exposed to correlations that break when they matter ← A frontier without an ecosystem is not stable — if a few models capture all value, the political economy won't tolerate it ← AI is steel for organizations — when software carries the context, human communication stops being the load-bearing wall ← The system of work is the moat, not the model — the model is fungible underneath ← LLMs selectively destroy vertical software moats — 5 fall, 5 hold ← AI compresses the distance between idea and execution but not between good and bad judgment ← Great companies are wrappers around a kind of person — institutions that make a new kind of person possible ← Emotional promises must be structural promises — if the structure doesn't back the pitch, the promise is fake ← When the system routes information, IC and DRI are the only roles left