AI Data Centers: Separating Fact from Fiction | Penn & Wharton Experts
Mack Institute for Innovation Management · 2026-08-07
As companies race to build the next generation of AI, data centers have become the focus of heated debates over electricity demand, water use, and economic impact. But how much of what we're hearing is guesswork, and what still needs to be understood? Learn more in this webinar featuring experts from the Wharton School and the University of Pennsylvania.
Mack Institute for Innovation Management. 2026-08-07. AI Data Centers: Separating Fact from Fiction | Penn & Wharton Experts. https://www.youtube.com/watch?v=H3TcMRVFMbQ (AI & Environment Resource Hub; record video-264; collection snapshot 2026-09-15).
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Artificial Intelligence (AI) has the potential to transform how water is managed. Yet, these emerging opportunities raise critical considerations around issues such as data governance, energy use, and the environmental footprint of digital infrastructure. To explore these challenges and opportunities, IWRA is launching a new webinar series: "The Promises and Challenges of AI, Data Centres & Freshwater Futures". Bringing together experts from around the world, the series examines the intersection of emerging technologies and water sustainability.
youtube.com
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Water; Built environment and infrastructure
AI’s rapid growth is driving an unprecedented surge in energy and water demand, raising serious environmental justice concerns, especially in marginalized communities, while sparking debate over whether climate benefits can outweigh the harms without stronger accountability and sustainable innovation.
Climate One
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Water; Built environment and infrastructure
Rapid growth in artificial intelligence (AI) and cloud-based services has accelerated data center development, creating new pressures on electricity systems, water resources, land use, and local governance. Largely ignored by citizens and policymakers in the past, data centers are now highly visible, energy-intensive facilities whose siting and operation raise significant community and policy challenges.
Oxford Open Energy
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Water; Built environment and infrastructure
This paper projects that U.S. AI server expansion could generate up to 1,125 million m³ of annual water use and 44 Mt CO₂-equivalent emissions by 2030, making net-zero goals unlikely without major reliance on offsets. It highlights that while best practices could cut impacts substantially, real progress depends on faster grid decarbonization, improved infrastructure, and coordinated public–private action.
