Why AI’s Health Risks Need More Research, Not Less Scrutiny

by | Oct 8, 2026 | Community Engagement, Responsible AI

A concise scientific letter lays out three overlooked health risks of the AI data center boom, noise, air pollution, and water stress, and calls for the research needed to hold the industry accountable.

We know you don’t have the luxury of assuming the systems around you were built with your community in mind. This letter proves that even scientists are still catching up, which means your voice, asking who studies this, who reports it, and who’s accountable, isn’t premature.

What the Article Actually Says

Tao and Gao (2025) argue that data centers, which consumed 1.5% of global electricity in 2024 and are projected to drive nearly 10% of global electricity demand growth by 2030, carry public-health risks that remain largely overlooked compared with their climate footprint. The letter identifies three health threats:

  1. Noise pollution reaching up to 96 decibels internally, well above the 85-decibel threshold considered harmful to hearing;
  2. Air pollution from diesel backup generators and fossil-fueled power that raises rates of respiratory disease, cardiovascular conditions, and cancer risk; and
  3. Water stress, since a typical hyperscale facility can use 3 to 7 million gallons of water daily, sometimes drawing up to 57% of its cooling water from potable supplies.

The authors call this a policy and research gap. They recommend four fixes, powering data centers with renewables and battery storage instead of diesel, using advanced cooling to cut water use, mandating public reporting of pollution, and siting new facilities away from populated areas, while stressing that “little is known about long-term health outcomes in data center host communities,” which makes empirical research urgent (Tao & Gao, 2025).

What the Data Doesn’t Show Yet

Tao and Gao’s (2025) letter makes an unusually direct request from scientists: study this before it gets worse. Their argument isn’t that data centers are inherently harmful; it’s that we’re expanding them faster than we’re studying their effects on the people who live nearby.

For first-generation female professionals (FGPs), that gap between growth and understanding is a familiar pattern. It’s the same gap many of us have navigated in our own careers, moving faster than the systems around us were built to track or support.

What This Means for You, Right Now

If you work in sustainability, research, public health, communications, policy, or operations, this letter gives you a rare kind of professional gift: a short, peer-reviewed, easily cited source you can bring into a meeting without having to summarize a 60-page report. Its four recommendations, renewable power, advanced cooling, public reporting, and thoughtful siting, are specific enough to become talking points in any conversation about your organization’s AI infrastructure choices.

This applies broadly across career stages. If you’re newer to the workforce and still building credibility, citing a source like this signals that you read past headlines and into primary research, a skill that quietly builds trust with senior colleagues. If you’re a mid-to-late-career FGP shaping policy, vendor selection, or organizational strategy, the letter’s call for “public reporting of data center pollution” gives you precise language for pushing accountability into contracts and partnerships.

Why This Matters for FGPs (First-Gen Female Professionals)

This source strengthens Executive Insider’s mission because it models exactly the kind of evidence-based advocacy we want FGPs to practice. Tao and Gao (2025) don’t just criticize; they name specific, actionable fixes and call for the empirical research needed to back them up. That’s the same disciplined, solution-oriented mindset our theory of change asks you to bring to your own career and community.

We know you don’t have the luxury of assuming the systems around you were built with your community in mind. This letter proves that even scientists are still catching up, which means your voice, asking who studies this, who reports it, and who’s accountable, isn’t premature. It’s necessary.

Your Next Step

The next time your workplace discusses AI infrastructure, cloud vendors, or data center partnerships, ask one pointed question drawn straight from this research: does this vendor publicly report noise, air, and water impacts, and if not, why not? That question turns you into the person asking for the evidence that everyone else assumed already existed.

Sources

Tao, Y., & Gao, P. (2025). Global data center expansion and human health: A call for empirical research. Eco-Environment & Health, 4(3), 100157. https://doi.org/10.1016/j.eehl.2025.100157

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EI Insights Blog
As co-founder of Executive Insider, Torah Bontrager brings a unique blend of entrepreneurial, nonprofit, and AI expertise to her work, focused on overcoming the challenges faced by first-generation professionals (FGPs). She architects the holistic infusion of artificial intelligence throughout the RISE curriculum's pedagogy. As co-founder of Executive Insider, May Teo is an educator, mentor, and curriculum designer dedicated to advancing the careers of First-Generation Female Professionals. She leads the development of the RISE curriculum, a multi-tiered leadership pathway that equips women to transition from survival mode to visible, impactful leadership.

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