Importing Bits, Not Watts: AI Infrastructure and Japan's Electricity Constraint

Productivity Research Notes (PRN Series), No. 2610. Artificial intelligence is increasingly discussed as a driver of future productivity growth, yet its expansion also depends on electricity supply and physical infrastructure. This note argues that AI computation can increasingly be traded internationally as digital services, while electricity supply remains geographically constrained. Using Japan as a case study, it examines how electricity costs, transmission limitations, and industrial linkages shape the domestic location of AI-related computation. The note further highlights the uncertainty surrounding future AI-related electricity demand, emphasizing both the evolving electricity productivity of computation and the uncertain long-run sustainability of rapidly expanding digital consumption patterns. These observations suggest that AI competitiveness may increasingly depend on stable, scalable, and economically sustainable electricity systems as much as on advances in computation itself.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-08
DOI
https://doi.org/10.5281/zenodo.20079966
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00
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article

Importing Bits, Not Watts: AI Infrastructure and Japan's Electricity Constraint

Koji Nomura
Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
article

Importing Bits, Not Watts: AI Infrastructure and Japan's Electricity Constraint

Koji Nomura
article en

Abstract

Productivity Research Notes (PRN Series), No. 2610. Artificial intelligence is increasingly discussed as a driver of future productivity growth, yet its expansion also depends on electricity supply and physical infrastructure. This note argues that AI computation can increasingly be traded internationally as digital services, while electricity supply remains geographically constrained. Using Japan as a case study, it examines how electricity costs, transmission limitations, and industrial linkages shape the domestic location of AI-related computation. The note further highlights the uncertainty surrounding future AI-related electricity demand, emphasizing both the evolving electricity productivity of computation and the uncertain long-run sustainability of rapidly expanding digital consumption patterns. These observations suggest that AI competitiveness may increasingly depend on stable, scalable, and economically sustainable electricity systems as much as on advances in computation itself.

Zenodo (CERN European Organization for Nuclear Research)
Keio University (JP)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Economic and Technological Innovation
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