Global spending on new AI data centers is projected to reach $7 trillion by 2030, with the largest U.S. technology companies expected to spend up to $1 trillion annually by 2027 on AI infrastructure, according to recent Wall Street and McKinsey estimates [1]. However, this rapid expansion is encountering significant public opposition in the United States. In Maine, the governor recently vetoed a law that would have banned new data center construction by hyperscalers, following the state legislature's passage of the ban, which lawmakers failed to override [1]. Fourteen states, including Oklahoma and New York, are currently considering legislation to ban or pause new data centers as public sentiment toward AI becomes increasingly negative [1].
The construction of large-scale data centers has sparked concerns over land use, rising electricity bills, and the growing influence of big tech companies in society, making data centers a focal point for public discontent [1]. Advocacy groups and community members have actively protested data center-related laws, as seen outside the Texas Capitol in Austin on February 23, 2026 [1].
Amid this backlash, the concept of distributing data center capacity into individual homes is gaining momentum within the real estate industry. Homebuilder PulteGroup, in collaboration with Nvidia and California-based startup Span, is piloting the installation of small fractional data center 'nodes' on the exterior walls of newly built homes [1]. Experts suggest that shifting some of the data processing load to the home grid could reduce the need for new large-scale construction and improve energy efficiency [1]. Balaji Tammabattula, COO at BaRupOn, noted that it is technically feasible for homes to host compute hardware that contributes to a larger distributed data processing system, similar to previous models in crypto mining or rooftop solar energy sales [1].
Despite the potential benefits, questions remain about the scalability of the home-based data center model and whether homeowners, HOAs, and regulators will support it [1]. The debate continues as the industry seeks solutions to balance technological advancement with public acceptance and regulatory challenges [1].
CONCLUSION
The U.S. AI data center boom is facing mounting public and legislative resistance, prompting exploration of decentralized, home-based alternatives. While the market for AI infrastructure remains robust, the future of data center expansion may hinge on public acceptance and regulatory developments.