#2 Consumers tolerate false positives. Enterprises tolerate zero. That one gap explains the whole market. Frontier models chase consumer breadth (brand + post-training data). Real agentic enterprise value needs depth, context, memory — that's where the moat forms.

#2 Consumers tolerate false positives. Enterprises tolerate zero.
That one gap explains the whole market.
Frontier models chase consumer breadth (brand + post-training data). Real agentic enterprise value needs depth, context, memory — that’s where the moat forms.

— Abhay 🇸🇬🇮🇳 (@Abhay08)
Jun 26, 2026

Life | Technology | Investing

#2 Consumers tolerate false positives. Enterprises tolerate zero. That one gap explains the whole market. Frontier models chase consumer breadth (brand + post-training data). Real agentic enterprise value needs depth, context, memory — that’s where the moat forms.

#2 Consumers tolerate false positives. Enterprises tolerate zero. That one gap explains the whole market. Frontier models chase consumer breadth (brand + post-training data). Real agentic enterprise value needs depth, context, memory — that’s where the moat forms.

https://t.co/qMSxphnGU9 The breadth of topics and how masterfully Nikesh navigates is just fabulous. #1 Physical AI is a depth problem, not breadth. No consumer use case = no crowdsourced training data. The model that flies planes ≠ drives cars ≠ runs factories. Waymo proves

#3 Token prices are heading to ~1/10th of today’s. Compute scarcity props prices up while consumers (unprofitable) eat half the supply. As efficiency catches up: prices collapse, usage explodes – Jevons paradox. The durable moat becomes memory + context aka The Harness, not the