This is a collection of mini-series around AI transformation that target specific areas of interest. They are both practical and pragmatic in their outlook. Most importantly, actionable insights that I hope you find both useful and usable in your own personal AI transformation journeys.
The Demand Side of AI
Most organizations are accounting for AI as a productivity gain. It is closer to a change in where business capability lives, who controls it, and who is accountable for what it produces. The supply side of models, compute, platforms, and infrastructure is largely settled, and no individual enterprise will shift its economics.
The demand side is the discipline of assembling the bought components into an operating model that fits how your business genuinely runs, and of maintaining the control points that determine who retains the value it produces. Nobody outside your walls can do that work because its raw materials are your workflows, your commitments, your judgment, and your risk appetite. The demand side is contested, largely unaddressed, and is where every dollar of return from this technology is either realized, transferred to a supplier, or lost to friction.
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. This mini-series examines the rise of the parallel agent economy: what’s changing, what’s breaking, and what executives need to build before someone else builds it for them.