The U.S. expansion of artificial intelligence data centers is facing significant challenges due to over 300 state and local bans or moratoriums enacted since 2023, particularly in the Midwest and South, where major tech firms seek cost-effective resources. This regulatory resistance is occurring despite advancements in technology, such as Microsoft’s closed-loop cooling systems that eliminate water usage for cooling, demonstrating a commitment to improving water efficiency. Additionally, companies like Google, Microsoft, and Meta are increasingly pursuing ‘bring your own power’ strategies through dedicated nuclear energy agreements, mitigating concerns over high energy costs while enabling the development of data centers in constrained regions.

Google: Google operates one of the largest global data center fleets, emphasizing efficiency in energy and water management as part of its cloud and AI operations. The company faces similar regional resistance to expansions in areas with abundant land and power availability, driving innovations in sustainable infrastructure design. Google is also pursuing independent power sourcing strategies to support its AI initiatives without relying on strained local grids.
Microsoft: Microsoft is a major technology company specializing in cloud computing, software, and artificial intelligence infrastructure. It is actively developing next-generation AI data centers equipped with advanced cooling technologies to minimize environmental impacts amid growing local opposition to data center projects. This positions Microsoft as a key hyperscaler navigating permitting challenges and resource constraints in the U.S. AI buildout.

Energy: Companies including Microsoft, Google, and Meta are pursuing ‘bring your own power’ approaches through dedicated nuclear energy agreements to directly supply their data centers.
Regulation: Over 300 state and local data-center bans or moratoriums have been enacted since 2023, with the majority passed this year and concentrated in the Midwest and South where hyperscalers seek cheap land and power.
Infrastructure: Leading tech firms are adopting closed-loop cooling systems in new AI data centers to eliminate water use for cooling and reduce reliance on local resources.