Pilots run on your best people, your cleanest data, and a problem you picked because it was tractable. Every condition that made it work is one you strip away at scale. A pilot doesn't tell you the thing works. It tells you it works under the best conditions…
The number on the invoice is the easy cost, and the small one. Every AI system carries a second cost that never lands on a bill: the work of checking it, the decisions it reshapes, the questions your team stops asking. The cheapest-looking option and the…
When everyone draws from the same model, you don't get five perspectives converging. You get one perspective wearing five faces, and the disagreement that used to surface the risk quietly disappears. Agreement reached that fast isn't a sign you're right. It's…
What does it really cost to run an AI agent at production scale? Not only in API charges, but also in energy, carbon, water, and infrastructure. In this presentation, Navveen Balani introduces Lean Agentic AI, a practical framework for building AI agents that…
As AI moves from individual prompts to autonomous agents, the sustainability equation changes significantly. Speaking at Green IO London 2026 on Green Agentic AI: Optimizing Cost, Energy and Carbon.
When capability keeps accelerating, the real constraints move to everything around it. Why the AI race is shifting from raw model capability to efficiency, economics, infrastructure and governance — and why that is not the same as slowing down.
AI is becoming more capable, but the economics of using AI are becoming just as important as the technology itself. In this video, I explore AI Economics for Leaders and why understanding the economics of tokens, inference, agents, and AI workloads is…
I thought I was moving a website. I ended up reconsidering how knowledge should survive the next generation of the internet — why Markdown, Git, and deliberately boring architecture became a technical-debt strategy, and what twenty years of WordPress taught me about enterprise modernization.
The goal of AI should be to make the next problem easier, not the same problem more expensive. That idea became the foundation of my new book: Reusable Intelligence Beyond Inference: Building AI Systems That Learn When Not to Reason AI is becoming remarkably…
The next test of intelligence is knowing when not to use more of it. My LinkedIn feed is full of the same three words: “AGI has arrived.” Whether we have actually crossed that threshold will be debated for years. We do not need to settle it today. Because if…