AI and the Physical Economy

AI and the Physical Economy examines how artificial intelligence increasingly alters the physical-resource environment required for its own expansion. It develops the concept of endogenous resource drag to explain how physical resources such as power, grid capacity, semiconductors, cooling, water, land, materials and industrial capacity can become shifting and interacting constraints on technological velocity. The essay argues that the central allocation problem is not scarcity alone, but identifying which resource or combination of resources is exerting the greatest marginal drag at a given point in time.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-25
DOI
https://doi.org/10.5281/zenodo.22966990
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
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AI and the Physical Economy

Vasudevan Anantha Krishnan
Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
article

AI and the Physical Economy

Vasudevan Anantha Krishnan
article en

Abstract

AI and the Physical Economy examines how artificial intelligence increasingly alters the physical-resource environment required for its own expansion. It develops the concept of endogenous resource drag to explain how physical resources such as power, grid capacity, semiconductors, cooling, water, land, materials and industrial capacity can become shifting and interacting constraints on technological velocity. The essay argues that the central allocation problem is not scarcity alone, but identifying which resource or combination of resources is exerting the greatest marginal drag at a given point in time.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 5%
Economic and Technological Innovation
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AI and the Physical Economy — Vasudevan Anantha Krishnan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS