Making AI Count: The Next Measurement Frontier

Diane Coyle and John Lourenze S. Poquiz

No 34330, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: 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.

JEL-codes: C80 E01 E22 O3 O47 (search for similar items in EconPapers)
Date: 2025-10
Note: IO PR
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