Artificial intelligence is transforming nearly every aspect of modern life. From healthcare and scientific research to education, transportation, and business, AI promises extraordinary advances that could improve productivity, accelerate innovation, and solve some of society’s most complex challenges. Behind AI, however, lies an expanding resistance to data centers and their long-term impact on people, communities, the environment and local economies.
While AI may seem intangible, it depends on buildings that consume enormous amounts of electricity, water, land, and materials. These facilities are becoming as essential to modern society as highways, power plants, and water treatment systems. Yet unlike other forms of critical infrastructure, public discussions about AI data centers have focused overwhelmingly on economic metrics—capital investment, tax incentives, and revenue generation—while paying comparatively little attention to their long-term impacts on human health, environmental health, and community well-being.
This imbalance represents a significant gap in how we evaluate technological progress.
AI Infrastructure Is Human Infrastructure
Data centers are often described as digital infrastructure, but they are equally part of our built environment. They occupy land, draw water from municipal systems, increase demand on electrical grids, generate continuous mechanical noise, and influence surrounding communities for decades.
Like schools, hospitals, factories, or housing developments, these facilities shape the environments where people live, work, and raise families.
Every major infrastructure decision is also a public health decision.
The question should not simply be whether a data center contributes to economic growth. We should also ask whether it contributes to healthier, more resilient communities.
The Hidden Costs Behind the Digital Economy
Much of today’s policy conversation centers on attracting data centers through tax incentives and expedited permitting. States compete aggressively to recruit billion-dollar investments, often highlighting construction activity and projected tax revenues.
These economic benefits are real, but they tell only part of the story.
Communities also bear costs that are less visible and less frequently measured.
Water Security
Large AI data centers require substantial amounts of water for cooling, particularly in hot climates. In arid states such as Arizona, water is more than a utility—it is a strategic resource that supports households, agriculture, ecosystems, and long-term economic resilience.
The critical question is not whether a single facility uses “too much” water, but whether the cumulative demand from many facilities remains compatible with the state’s long-term water security.
Energy and Climate
AI workloads are dramatically increasing electricity demand. Meeting that demand requires investments in generation, transmission, and grid infrastructure that affect every utility customer.
As communities pursue ambitious climate goals, policymakers must consider how new digital infrastructure can be powered while maintaining grid reliability and reducing greenhouse gas emissions.
Community Health
The effects of data centers extend beyond water and electricity.
Communities may experience:
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- Continuous mechanical noise from cooling equipment and backup generators
- Increased truck traffic during construction and maintenance
- Changes in land use and neighborhood character
- Pressure on public infrastructure
- Reduced opportunities for alternative forms of development
While these impacts may appear modest individually, their cumulative effect can influence quality of life over decades.
Environmental Health
Healthy communities depend on healthy environmental systems.
Data center development should be evaluated for its impacts on:
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- Water quality
- Stormwater management
- Urban heat
- Air quality
- Habitat fragmentation
- Long-term resource consumption
Environmental stewardship should be viewed as an essential component of digital infrastructure planning rather than a secondary consideration.
Economic Opportunity
Despite their enormous capital investment, data centers typically employ relatively small permanent workforces compared with many other forms of commercial or industrial development.
This does not diminish their value, but it does raise an important public policy question:
How can communities ensure that public investments in digital infrastructure also produce lasting workforce development, education, and economic opportunities for local residents?
A New Framework for Measuring Success
For decades, economic development has been measured primarily through investment totals, tax revenue, and jobs created. These indicators remain important, but they are no longer sufficient.
The infrastructure of the AI economy should also be evaluated according to its contribution to:
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- Human health
- Environmental health
- Community resilience
- Water security
- Climate adaptation
- Equitable quality of life
Technology should improve communities—not merely operate within them.
Healthy Infrastructure Is Smart Infrastructure
At a peaceful space inc. we believe all buildings are health systems. The environments we create influence our physical health, mental well-being, resilience, and opportunity.
The same philosophy should guide the next generation of digital infrastructure.
Every major AI data center should undergo a comprehensive Healthy Infrastructure Impact Assessment that evaluates not only economic returns but also impacts on public health, water resources, environmental quality, community resilience, and environmental justice.
Such an assessment would help policymakers understand cumulative impacts, identify opportunities for mitigation, and ensure that technological innovation advances the public interest.
Building an AI Economy That Serves People
The future is not a choice between technology and sustainability. Nor is it a choice between economic development and environmental stewardship.
Arizona—and the nation—have an opportunity to lead by demonstrating that innovation and public health can advance together.
The measure of success should not be how many data centers we build, but how well those investments strengthen the communities around them.
Economic growth is important.
Artificial intelligence is transformative.
But the ultimate purpose of technological progress should be to improve human well-being.
As AI reshapes our economy, we must ensure that the infrastructure supporting it reflects the same values we hope the technology itself will advance: health, resilience, equity, and a better quality of life for everyone.