Most of our time at the Green Software Foundation is spent on calls — standards, open source, education, partnerships. Being in the same room for our offsite was a reminder of how much of the trust behind distributed work gets built outside the meeting room.
AI gives fluent, finished-sounding answers. Fluency has a side effect: it closes the follow-up question that would have surfaced the risk. The more polished the answer, the less anyone pushes on it. The expensive part isn't a wrong answer. It's the question…
As agentic AI evolves, the model is only one part of the system — the harness around it shapes how the agent behaves. If we engineer harnesses for reliability, security and autonomy, we should engineer them for resource use too. That is Sustainable Harness Engineering.
A metric is a stand-in for something you actually care about. The moment it becomes a target, AI can hit it perfectly, and the tighter it hits the number, the further it can drift from the thing the number stood for. The measure stops measuring what it…
AI has made content creation abundant. Attention is becoming the scarce resource. So I built FeedLens — an on-device lens that lets my LinkedIn feed adapt to what I want to focus on right now.
AI made junior people produce work that looks senior. So the hard part of the week moved: from producing the work to telling whether the senior-looking work is actually right. And that judgment sits with the few people who were already your constraint. You…
When a project took a year, the market pushed back before you finished building. That delay was accidental insurance: it caught the wrong call while it was still cheap to change. Now you can build the wrong thing at full quality in a week, and the pushback…
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…