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Center for Energy Studies | Working Paper

AI Geoeconomics: Allied Electricity and Secure Data Centers

December 18, 2025 | Gabriel Collins, Christopher Bronk
Abstract of modern high tech internet data center room

Table of Contents

Author(s)

Gabriel Collins

Baker Botts Fellow in Energy and Environmental Regulatory Affairs | CES Lead, Energy and Geopolitics in Eurasia

Christopher Bronk

Nonresident Scholar

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    Gabriel Collins and Christopher Bronk, “AI Geoeconomics: Allied Electricity and Secure Data Centers,” Rice University’s Baker Institute for Public Policy, December 18, 2025, https://doi.org/10.25613/T8RH-7H63.

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Cloud computingCybersecurity

Executive Summary

Global information power depends on more than just software; it requires secure physical foundations — AI compute and the electricity grids that power it. This manuscript argues that the U.S. risks ceding strategic advantage to China by neglecting the “Cloud-Grid Nexus.” With PRC-linked entities already positioned to potentially influence power grids and 147 power plants across Southeast Asia, a critical digital battleground, the threat of hardware-enabled espionage and coercion is acute. To counter this, the authors propose a “Datacenters and Dynamos” strategy. This geoeconomic framework advocates for integrated U.S. and allied export financing to deploy secure computing capacity alongside reliable power generation. By treating data centers and power grids as a unified security asset, Washington can work to ensure the global AI ecosystem runs on “allied rails,” preventing a repeat of the 5G infrastructure crisis and securing the physical layers of information power.

View the full paper (PDF).

 

 

This publication was produced on behalf of Rice University’s Baker Institute for Public Policy. Wherever feasible, this material was reviewed by external experts prior to release. It has not undergone editorial review. Any errors are the responsibility of the author(s) alone.

This material may be quoted or reproduced without prior permission, provided appropriate credit is given to the author(s) and Rice University’s Baker Institute for Public Policy. The views expressed herein are those of the individual author(s) and do not necessarily represent the views of Rice University’s Baker Institute for Public Policy.

© 2025 Rice University’s Baker Institute for Public Policy
https://doi.org/10.25613/T8RH-7H63
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