Making AI Count: The Next Measurement Frontier

Generative AI is transforming production, consumption, and work, yet current statistical frameworks would likely struggle to capture its economic full economic impact. While the 2025 System of National Accounts introduces AI as a distinct asset, challenges remain in valuing AI-related investments, inputs, and outputs. Moreover, as a general-purpose technology, AI alters business processes, service quality, and labor organization in ways poorly reflected in official data. This paper outlines key measurement gaps from transformative AI, including the tracking cross-border inputs, quality change, and process changes. We argue that economic statistics should adopt more granular, task-based, and outcome-focused approaches to ensure relevance in an increasingly AI-driven economy.