Indy Nagpal writes on AI strategy, enterprise adoption, and what it means for organisations to work alongside intelligent machines. Co-CEO, Straker.
A family in Maryland gets a utility bill spike from a data centre three states away. A CTO in London watches token costs fall and total spend double. A policymaker in Geneva reads the numbers: more electricity than all but ten countries. Three crises. One architecture that solves them all.
A developer in Melbourne wakes up to find her AI agent returning 403 on every call. A US government directive killed the model overnight. Her data never left Australia. The model that reasoned over it was American. That was the only fact that mattered.
$2.5 trillion in AI spending this year. The world’s first trillionaire. And the governance frameworks meant to guide this? Principles documents that nobody is obliged to follow. Research on 500-year-old monasteries reveals the mechanism that actually works.
A developer writes the same function for the fourth time and something revolts. Their AI pair programmer would write it a fortieth time without flinching. On laziness, abstraction, and what we lose when the friction disappears.
When an algorithm denies care, kills a pedestrian, or shapes a child before birth — and nobody can be found who made the decision. On AI and the responsibility vacuum.
AI is a disembodied prediction engine optimised for compliance, not truth. On hallucination, sycophancy, and what we lose when friction is engineered away.
AI is reshaping what technical leaders are for. Six patterns of response — buyer, vibe builder, depth-seeker, evangelist, governor, abstainer — each delegating the thinking somewhere different. The trap is not AI. It is the certainty.
Platform lock-in isn't going away — it's going invisible. How headless systems and AI agents are changing the dependency relationship, and what to do about it.
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.