Are we asking the wrong question about AI and work? Three concepts from Indian philosophy — what holds, what dissolves, and what you actually do — reframe everything.
Sequoia argues hierarchy is just information routing. They're right — but hierarchy carries five other things that AI can't replace. Here's what the winners will do differently.
Token prices have collapsed 265x in three years. The lock-in risk in AI isn't the model — it's everything you build around it.
A single generalist agent is a single point of failure for a different reason than reliability. It’s a failure of fit. The answer: not one agent, but a mesh.
Every technological revolution relocates craft rather than eliminating it. A reflection on what's happening to software craftsmanship as AI transforms how we build.
The people who understand AI best are all quietly building their own personal versions. Not using the products. Building. There's something worth paying attention to in that.
Everyone's asking where the moats are when AI tooling is everywhere. One answer is becoming clear: codified organisational knowledge that can be acted upon at machine speed.
We're moving toward production code that no human ever reads. The bottleneck isn't trusting the code — it's building the human capacity to design trustworthy systems.
What's happening to listed SaaS companies is exactly what happened to translation companies in 2021. Markets don't fear AI — they fear the collapse of their predictive frameworks.
Anthropic's Claude Cowork plugins wiped tens of billions off software valuations in days. This is what disruption looks like in 2026 — a cliff edge, visible in real time.
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