Inside the machine
Most executives treat AI as a technology decision. I think it's an operating model decision. That's a different conversation entirely. I'm Cleve Gibbon, a transformation executive at Omnicom. I write about what AI and agentic systems are doing to how large organisations work — the governance, operating models, and management disciplines that need to change before the technology pays off. Written from inside the machine, not above it.
Blog Archives
The Parallel Agent Economy
We keep asking whether AI is ready for the enterprise. That’s the wrong question. The real question is whether the enterprise is ready for AI. Why? Because capability is outpacing control. Something shifted in the last six months. AI agents … Continue reading
Your AI Budget Is Structured Wrong
Most executives treat AI as a cost line. That’s the wrong mental model, and it’s already creating the wrong decisions. A venture capitalist recently described burning 250 million tokens in a single day, twenty times the amount he had used … Continue reading
The Discipline Most AI Transformations Are Missing
Institutions are splitting into two camps with AI: those encoding discipline directly into the agent layer, and those blindly buying capability. The most durable AI transformations are coming from the first camp. And they got there by slowing down. Linear, … Continue reading
The Hidden Cost of Your Agentic Tooling Decision
Enterprises are making agentic tooling decisions right now without enough information. That’s not a criticism. The information doesn’t exist yet. Today’s pricing tells you almost nothing about tomorrow’s. Cursor reportedly runs negative gross margins on its power users. The cost … Continue reading
Managing Agents Is a New Management Discipline
When an AI agent sends an email before you’ve reviewed it, people blame the model. They’re blaming the wrong thing. The model did its job. The management system failed. A human invoice clerk spots a weird date format on a … Continue reading
The Governance Gap Is the AI Adoption Gap
Every accountability chain in your organization rests on one load-bearing assumption: somewhere in it, a human made the decision. So that’s who the RACI points at. And that’s who signs off. Run an agent on what would take a human … Continue reading