Can national security really justify loosening environmental rules?
Yes, national security concerns are a powerful justification for prioritizing AI infrastructure development. Eric Schmidt, in a 2022 analysis, argues that AI is transforming the international security environment and that the U.S. needs a comprehensive national strategy to preserve global leadership advantages for its economy and security [4]. This includes building robust AI systems and infrastructure, as noted by Massey in 2024, who discusses national security efforts to prohibit or restrict AI use by adversaries while focusing on building a robust AI system by 2030 [1].
However, the evidence does not support unlimited exemptions. The same national security arguments that justify building AI infrastructure also require careful management of its environmental impacts, because the infrastructure itself can become a vulnerability. For example, data centers' heavy water and energy use can strain local resources, potentially creating new security risks in water-stressed regions [2].
What are the actual environmental costs of AI infrastructure?
The environmental costs are significant, especially at the local level. A 2026 study on data center water footprints found that while national and global water consumption may seem modest compared to other users, localized impacts can be significant—especially in regions already facing water stress or drought [2]. This means a data center built in a dry area could deplete local water supplies, creating a direct conflict between AI infrastructure needs and community water security.
Energy consumption is another major concern. A 2026 analysis of AI regulation found that the EU's AI Act fails to address indirect greenhouse gas emissions from AI applications, and that data center regulation needs binding renewable energy and efficiency targets [3]. The same study recommends measuring energy consumption at the cumulative server level to get accurate data, highlighting that current reporting is insufficient [3].
Is there a middle ground between national security and environmental protection?
Yes, the evidence points to transparency and targeted regulation as a workable compromise. The 2026 water footprint study argues that comprehensive monitoring and public disclosure of water use are essential for sustainable growth of digital infrastructure [2]. Similarly, the AI regulation study proposes twelve concrete policy proposals, including energy and environmental reporting obligations, legal and regulatory clarifications, and transparency and accountability mechanisms [3].
This approach allows national security priorities to move forward while ensuring that environmental costs are visible and manageable. The studies agree that without transparency, effective regulation, innovation, and community planning are undermined [2][3]. In other words, loosening rules doesn't have to mean no rules—it can mean smarter, more targeted oversight that balances security needs with environmental stewardship.
About These Sources
This answer is built on 5 peer-reviewed studies — published from 2022 to 2026, 4 from 2024 or later, 2 in Q1 journals — selected as the most relevant from 5 studies that passed quality screening, drawn from 44 papers retrieved from a database of over 500 million.
Sources used in this answer
AI Foundation Models and National Security: A Careful Balance
Massey (2024) discusses how national security concerns have driven AI regulation to prohibit or restrict AI use by adversaries, while also focusing on building a robust AI system by 2030, including AI infrastructure.
Data Centers Water Footprint: The Need for More Transparency
Privette et al. (2026) find that while data center water consumption may seem modest nationally, localized impacts can be significant in water-stressed regions, and call for comprehensive monitoring and public disclosure of water use.
AI, climate, and regulation: From data centers to the AI Act
Ebert et al. (2026) propose twelve policy proposals for AI and climate regulation, finding that the EU AI Act fails to address indirect greenhouse gas emissions and that data center regulation needs binding renewable energy and efficiency targets.
AI, Great Power Competition & National Security
Schmidt (2022) argues that AI is transforming the international security environment and that the U.S. needs a comprehensive national strategy to preserve global leadership advantages for its economy and security.
AI and national security
Savage et al. (2024) provide an overview of AI's impact on national security, discussing how AI is used in military contexts and the key actors involved in developing military AI.
