Most enterprise AI spend lands where value commoditises fastest. Value actually accumulates a layer below. Here is how to read your own stack, and how to stop the leak.
Every enterprise marketing function in Europe is running AI pilots. Few CMOs can point to a durable improvement in unit economics. The standard explanation is execution. The more precise one is structural: value in a marketing stack does not accumulate evenly. It pools in specific layers, and most current spend is going to the layer where value evaporates fastest.
Economic value accretes downward through the stack. The deeper a layer sits, the more durable the value it holds.
Platform wars have moved from model quality to context ownership. Adobe, Salesforce, and Microsoft are not competing on foundation models any more. The significant bets are at Layer 01: Real-Time CDP, Data Cloud, Microsoft Fabric. Switching costs, not capability.
Most AI ROI calculations are structurally inverted. The investments that excite the boardroom have the shortest value half-life. The quiet ones compound.
The pilot graveyard is a structural problem, not an executional one. Most pilots test the tool, not whether value lands in the governed base. The fix is a different success criterion.
"Winning the AI era will require deeper integration into enterprise data, systems, and workflows."Steve Lucas, former CEO of Marketo. In response to Arjen Segers on LinkedIn, 2026.
The full essay walks through the observation, the diagnosis, the model itself, the forces that produce it, the structural implications, and the practical questions it surfaces for any commercial leader trying to read their own stack.
Value Gravity™ is the framework. IDADAY International Services is the advisory practice that uses it.