With AI, activity is not value

The excerpt argues that capital markets often price expectations of technological transformation—now with AI—well before measurable productivity gains appear, likening this to the 'productivity paradox.' It explains that AI's value is frequently diffuse, cumulative and difficult to attribute directly to financial outcomes, producing second-order benefits such as improved forecasting, fraud reduction, faster decisions, and enhanced cybersecurity resilience, which traditional metrics may not capture.