Advance AI with Cleaner Air and Healthier Outcomes
Artificial intelligence (AI) is transforming industries, driving innovation, and tackling some of the world’s most pressing challenges. Yet while AI has tremendous potential to advance public health, such as supporting epidemiological research and optimizing healthcare resource allocation, the public health burden of AI due to its contribution to air pollutant emissions has been under-examined. Energy-intensive data centers, often paired with diesel backup generators, are rapidly expanding and degrading air quality through emissions of air pollutants. These emissions exacerbate or cause various adverse health outcomes, from asthma to heart attacks and lung cancer, especially among young children and the elderly. Without sufficient clean and stable energy sources, the annual public health burden from data centers in the United States is projected to reach up to $20 billion by 2030, with households in some communities located near power plants supplying data centers, such as those in Mason County, WV, facing over 200 times greater burdens than others.
Federal, state, and local policymakers should act to accelerate the adoption of cleaner and more stable energy sources and address AI’s expansion that aligns innovation with human well-being, advancing the United States’ leadership in AI while ensuring clean air and healthy communities.
Challenge and Opportunity
Forty-six percent of people in the United States breathe unhealthy levels of air pollution. Ambient air pollution, especially fine particulate matter (PM2.5), is linked to 200,000 deaths each year in the United States. Poor air quality remains the nation’s fifth highest mortality risk factor, resulting in a wide range of immediate and severe health issues that include respiratory diseases, cardiovascular conditions, and premature deaths.
Data centers consume vast amounts of electricity to power and cool the servers running AI models and other computing workloads. According to the Lawrence Berkeley National Laboratory, the growing demand for AI is projected to increase the data centers’ share of the nation’s total electricity consumption to as much as 12% by 2028, up from 4.4% in 2023. Without enough sustainable energy sources like nuclear power, the rapid growth of energy-intensive data centers is likely to exacerbate ambient air pollution and its associated public health impacts.
Data centers typically rely on diesel backup generators for uninterrupted operation during power outages. While the total operation time for routine maintenance of backup generators is limited, these generators can create short-term spikes in PM2.5, NOx, and SO2 that go beyond the baseline environmental and health impacts associated with data center electricity consumption. For example, diesel generators emit 200–600 times more NOx than natural gas-fired power plants per unit of electricity produced. Even brief exposure to high-level NOx can aggravate respiratory symptoms and hospitalizations. A recent report to the Governor and General Assembly of Virginia found that backup generators at data centers emitted approximately 7% of the total permitted pollution levels for these generators in 2023. Based on the Environmental Protection Agency’s COBRA modeling tool, the public health cost of these emissions in Virginia is estimated at approximately $200 million, with health impacts extending to neighboring states and reaching as far as Florida. In Memphis, Tennessee, a set of temporary gas turbines powering a large AI data center, which has not undergone a complete permitting process, is estimated to emit up to 2,000 tons of NOx annually. This has raised significant health concerns among local residents and could result in a total public health burden of $160 million annually. These public health concerns coincide with a paradigm shift that favors dirty energy and potentially delays sustainability goals.
In 2023 alone, air pollution attributed to data centers in the United States resulted in an estimated $5 billion in health-related damages, a figure projected to rise up to $20 billion annually by 2030. This projected cost reflects an estimated 1,300 premature deaths in the United States per year by the end of the decade. While communities near data centers and power plants bear the greatest burden, with some households facing over 200 times greater impacts than others, the health impacts of these facilities extend to communities across the nation. The widespread health impacts of data centers further compound the already uneven distribution of environmental costs and water resource stresses imposed by AI data centers across the country.
While essential for mitigating air pollution and public health risks, transitioning AI data centers to cleaner backup fuels and stable energy sources such as nuclear power presents significant implementation hurdles, including lengthy permitting processes. Clean backup generators that match the reliability of diesel remain limited in real-world applications, and multiple key issues must be addressed to fully transition to cleaner and more stable energy.
While it is clear that data centers pose public health risks, comprehensive evaluations of data center air pollution and related public health impacts are essential to grasp the full extent of the harms these centers pose, yet often remain absent from current practices. Washington State conducted a health risk assessment of diesel particulate pollution from multiple data centers in the Quincy area in 2020. However, most states lack similar evaluations for either existing or newly proposed data centers. To safeguard public health, it is essential to establish transparency frameworks, reporting standards, and compliance requirements for data centers, enabling the assessment of PM2.5, NOₓ, SO₂, and other harmful air pollutants, as well as their short- and long-term health impacts. These mechanisms would also equip state and local governments to make informed decisions about where to site AI data center facilities, balancing technological progress with the protection of community health nationwide.
Finally, limited public awareness, insufficient educational outreach, and a lack of comprehensive decision-making processes further obscure the potential health risks data centers pose to public health. Without robust transparency and community engagement mechanisms, communities housing data center facilities are left with little influence or recourse over developments that may significantly affect their health and environment.
Plan of Action
The United States can build AI systems that not only drive innovation but also promote human well-being, delivering lasting health benefits for generations to come. Federal, state, and local policymakers should adopt a multi-pronged approach to address data center expansion with minimal air pollution and public health impacts, as outlined below.
Federal-level Action
Federal agencies play a crucial role in establishing national standards, coordinating cross-state efforts, and leveraging federal resources to model responsible public health stewardship.
Recommendation 1. Incorporate Public Health Benefits to Accelerate Clean and Stable Energy Adoption for AI Data Centers
Congress should direct relevant federal agencies, including the Department of Energy (DOE), the Nuclear Regulatory Commission (NRC), and the Environmental Protection Agency (EPA), to integrate air pollution reduction and the associated public health benefits into efforts to streamline the permitting process for more sustainable energy sources, such as nuclear power, for AI data centers. Simultaneously, federal resources should be expanded to support research, development, and pilot deployment of alternative low-emission fuels for backup generators while ensuring high reliability.
- Public Health Benefit Quantification. Direct the EPA, in coordination with DOE and public health agencies, to develop standardized methods for estimating the public health benefits (e.g., avoided premature deaths, hospital visits, and economic burden) of using cleaner and more stable energy sources for AI data centers. Require lifecycle emissions modeling of energy sources and translate avoided emissions into quantitative health benefits using established tools such as the EPA’s BenMAP. This should:
- Include modeling of air pollution exposure and health outcomes (e.g., using tools like EPA’s COBRA)
- Incorporate cumulative risks from regional electricity generation and local backup generator emissions
- Account for spatial disparities and vulnerable populations (e.g., children, the elderly, and disadvantaged communities)
- Evaluate both short-term (e.g., generator spikes) and long-term (e.g., chronic exposure) health impacts
- Preferential Permitting. Instruct the DOE to prioritize and streamline permitting for cleaner energy projects (e.g., small modular reactors, advanced geothermal) that demonstrate significant air pollution reduction and health benefits in supporting AI data center infrastructures. Develop a Clean AI Permitting Framework that allows project applicants to submit health benefit assessments as part of the permitting package to justify accelerated review timelines.
- Support for Cleaner Backup Systems. Expand DOE and EPA R&D programs to support pilot projects and commercialization pathways for alternative backup generator technologies, including hydrogen combustion systems and long-duration battery storage. Provide tax credits or grants for early adopters of non-diesel backup technologies in AI-related data center facilities.
- Federal Guidance & Training. Provide technical assistance to state and local agencies to implement the protocol, and fund capacity-building efforts in environmental health departments.
Recommendation 2. Establish a Standardized Emissions Reporting Framework for AI Data Centers
Congress should direct the EPA, in coordination with the National Institute of Standards and Technology (NIST), to develop and implement a standardized reporting framework requiring data centers to publicly disclose their emissions of air pollutants, including PM₂.₅, NOₓ, SO₂, and other hazardous air pollutants associated with backup generators and electricity use.
- Multi-Stakeholder Working Group. Task EPA with convening a multi-stakeholder working group, including representatives from NIST, DOE, state regulators, industry, and public health experts, to define the scope, metrics, and methodologies for emissions reporting.
- Standardization. Develop a federal technical standard that specifies:
- Types of air pollutants that should be reported
- Frequency of reporting (e.g., quarterly or annually)
- Facility-specific disclosures (including generator use and power source profiles)
- Geographic resolution of emissions data
- Public access and data transparency protocols
State-level Action
Recommendation 1. State environmental and public health departments should conduct a health impact assessment (HIA) before and after data center construction to evaluate discrepancies between anticipated and actual health impacts for existing and planned data center operations. To maintain and build trust, HIA findings, methodologies, and limitations should be publicly available and accessible to non-technical audiences (including policymakers, local health departments, and community leaders representing impacted residents), thereby enhancing community-informed action and participation. Reports should focus on the disparate impact between rural and urban communities, with particular attention to overburdened communities that have under-resourced health infrastructure. In addition, states should coordinate HIA and share findings to address cross-boundary pollution risks. This includes accounting for nearby communities across state lines, considering that jurisdictional borders should not constrain public health impacts and analysis.
Recommendation 2. State public health departments should establish a state-funded program that offers community education forums for affected residents to express their concerns about how data centers impact them. These programs should emphasize leading outreach, engaging communities, and contributing to qualitative analysis for HIAs. Health impact assessments should be used as a basis for informed community engagement.
Recommendation 3. States should incorporate air pollutant emissions related to data centers into their implementation of the National Ambient Air Quality Standards (NAAQS) and the development of State Implementation Plans (SIPs). This ensures that affected areas can meet standards and maintain their attainment statuses. To support this, states should evaluate the adequacy of existing regulatory monitors in capturing emissions related to data centers and determine whether additional monitoring infrastructure is required.
Local-level Action
Recommendation 1. Local governments should revise zoning regulations to include stricter and more explicit health-based protections to prevent data center clustering in already overburdened communities. Additionally, zoning ordinances should address colocation factors and evaluate potential cumulative health impacts. A prominent example is Fairfax County, Virginia, which updated its zoning ordinance in September 2024 to regulate the proximity of data centers to residential areas, require noise pollution studies prior to construction, and establish size thresholds. These updates were shaped through community engagement and input.
Recommendation 2. Local governments should appoint public health experts to the zoning boards to ensure data center placement decisions reflect community health priorities, thereby increasing public health expert representation on zoning boards.
Conclusion
While AI can revolutionize industries and improve lives, its energy-intensive nature is also degrading air quality through emissions of air pollutants. To mitigate AI’s growing air pollution and public health risks, a comprehensive assessment of AI’s health impact and transitioning AI data centers to cleaner backup fuels and stable energy sources, such as nuclear power, are essential. By adopting more informed and cleaner AI strategies at the federal and state levels, policymakers can mitigate these harms, promote healthier communities, and ensure AI’s expansion aligns with clean air priorities.
This memo is part of our AI & Energy Policy Sprint, a policy project to shape U.S. policy at the critical intersection of AI and energy. Read more about the Policy Sprint and check out the other memos here.
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