Day 16 of Green, Efficient AI is live — Every Guardrail Is a Call. The most overlooked line item in an AI system is the safety wrap. So why do most teams run four or five model-based checks on every request without ever costing them? In many production…
For decades, AI has lived behind screens—answering questions, generating content, and assisting human decision-making. But a new frontier is emerging. Physical AI is taking agentic intelligence beyond the digital realm and into the physical world. From…
Over the past few years, frontier AI has advanced at a pace few predicted. Bigger models. Stronger reasoning. Capabilities that genuinely felt out of reach two years ago are now routinely available through an API call. That progress matters. Frontier models…
The future of enterprise AI is not about maximizing intelligence. It is about delivering the minimum intelligence required to achieve the maximum business outcome. This idea has increasingly shaped how I think about the next phase of enterprise AI. Over the…
For decades, AI has lived behind screens—answering questions, generating content, and assisting human decision-making. But a new frontier is emerging. Physical AI is taking agentic intelligence beyond the digital realm and into the physical world. From…
A session at the Green Software Development Karlsruhe meetup on connecting Software Carbon Intensity (SCI) to agentic systems — why cost, energy, and carbon are deeply connected but not the same thing, and how to start measuring.
The model is usually the most expensive component in an AI system. The compute it consumes, the memory it occupies, and the energy it draws all converge on a single moment: inference. Yet in many production systems, every request still reaches the model. That…
Day 15 of Green, Efficient AI is live — The Route Before the Model. The model is usually the most expensive component in an AI system. So why does every request still reach it? In many production pipelines, the answer is reflex, not architecture. A telecom…
Most production AI systems run in a region somebody picked years ago, on hardware procured for a different workload, and on schedules chosen for operational convenience rather than carbon performance. None of those choices were carbon-aware. Most of them are…
Day 14 of Green, Efficient AI is live — The Grid You Didn't Choose. Most production AI runs in a region somebody picked years ago, on hardware procured for a different workload, and on schedules chosen for operational convenience rather than carbon…
Last week, I had the opportunity to deliver the keynote at the CleanEnviro Summit Singapore Catalyst 2026 in Singapore, hosted by the National Environment Agency. Dr. Janil Puthucheary, Senior Minister of State, Ministry of Sustainability and the Environment…
Keynote at CleanEnviro Summit Singapore Catalyst 2026, hosted by the National Environment Agency: why sustainability and business value are the same path, the shift to outcome-based metrics in Environmental Services, and the two dimensions of Green AI.
Most inference traffic is not waiting on a human. It is waiting on a loop. Embeddings for an index that refreshes hourly. Classifications for a moderation queue. Summaries for a digest that ships at seven in the morning. Evaluations that run overnight. None…
Day 13 of Green, Efficient AI is live — The Queue You Never Built. Most inference traffic is not waiting on a human. It is waiting on a loop. Embeddings for an index that refreshes hourly. Classifications for a moderation queue. Summaries for a morning…
Days 8–11 worked the loop itself — its turn count, its route, its tool shape, its context weight. That closes the loop chapter. This issue opens a new one. The next three days work on the platform underneath the loop, so the same work costs less every time it…
Day 12 of Green, Efficient AI is live — Cache What Doesn't Change. Depending on the workload, forty to ninety-five percent of every AI prompt is the same as the last one — the system prompt, the tools, the document the agent is reading. The model reprocesses…
What happens when the intelligence your AI agents depend on suddenly changes? In the age of Agentic AI, organizations are increasingly building workflows around frontier models for reasoning, planning, memory, orchestration, and decision-making. But what if…
What happens when the intelligence your AI agents depend on suddenly changes? In the age of Agentic AI, organizations are increasingly building workflows around frontier models for reasoning, planning, memory, orchestration, and decision-making. But what if…
If you’re wondering, like I was, why Anthropic’s latest model Fable suddenly shows as unavailable… this may be why. Halfway through working on Fable, access suddenly disappeared. The initial assumption? A temporary issue. Capacity constraints. Service…
Day 8 made the loop the unit of work. Day 9 cut turns by planning the route. Day 10 cut turns by shaping the tool. Days 8–10 all worked on the same lever — fewer turns per task. This issue works on a different one. When the turns you do run carry more weight…
Day 11 of Green, Efficient AI is live — Reset the Loop When Context Decays. An agent runs for fifteen turns. Each turn costs more than the one before it. By the last few turns, a single turn can cost more than the first several combined. The questions did not…
Day 8 made the loop the unit of work and showed why each extra turn costs more than the one before it. Day 9 cut turns at the front by planning the route. This issue cuts turns at every step by changing what the agent calls when it gets there. Here is the…
Day 10 of Green, Efficient AI is live — Close the Loop with the Right Tool. Two agents, same customer question: "What's the status of my last order, and when will it arrive? Agent A has four clean tools — look up the customer, list orders, fetch shipping,…
What happens when organizations discover that their AI budget is disappearing faster than expected? In this episode of Agentic AI: The Future of Intelligence Systems, we take a deep dive into one of the biggest hidden challenges emerging in the age of Agentic…
🚨 The Token Shock — Why Companies Are Running Out of AI Budget 🎙️ Episode 91 of Agentic AI: The Future of Intelligent Systems is out now. Are we creating value… or simply generating activity? That may quietly become one of the biggest questions organizations…