Organizations are investing heavily in AI. Yet a recurring question continues to appear: How do we measure whether AI is actually creating value? Organizations can often measure adoption. They know how many employees are using a tool. How many licenses have been deployed. How many tasks have been automated. How frequently particular capabilities are being accessed. Some can estimate hours saved. But translating those measures into organizational value is proving more difficul

AI is everywhere. It is embedded in products, workflows, search tools, analytics platforms, customer experiences, software development, decision support, and increasingly the everyday work of employees. Organizations are investing in it. Leaders are talking about it. Roadmaps are being built around it. And increasingly, organizations describe AI itself as part of their strategy. But there is an important distinction worth making. AI can enable a strategy. It can dramatically

Technology doesn't create organizational problems. It reveals the ones that already exist. Organizations often describe AI as disruptive. But AI rarely creates entirely new organizational problems. Instead, it accelerates existing patterns until they become impossible to ignore. Misalignment becomes visible. Capacity becomes constrained. Decision bottlenecks become obvious. Interdependencies surface. The technology changes quickly, but what leaders experience is usually somet