AI-Specific Risk Analysis - Stop Bad Data Centers

Mapped: U.S. States Moving to Restrict Data Centers

AI-Specific Risk Analysis, Community & Social Impacts, Economic Impacts, Environmental Impacts, Grid & Infrastructure Impacts

To avoid an AI data-center bubble, Washington must change how it works with US states – Atlantic Council

The US Senate's recent vote against a moratorium on state-level AI regulation highlights the need for improved coordination between federal and state governments regarding AI infrastructure. Local opposition has already delayed significant data center projects, complicating efforts to maintain US leadership in AI. The rapid expansion of data centers poses risks of oversupply and increased…

AI-Specific Risk Analysis, Community & Social Impacts, Economic Impacts, Grid & Infrastructure Impacts, Public Health Impacts

Reframing Impact: AI Summit 2026 – AI Now Institute

The 2026 AI Impact Summit in India is the latest iteration of an event that has become a bellwether for global discourse around the AI industry, especially the question of whether, and how, it can be governed. But it also demonstrates how important ideas can be invoked in ways that dilute their meaning or co-opt…

AI-Specific Risk Analysis

Sam Altman Investing in ‘AI Safety Research’ – Future of Life Institute

Sam Altman, then heading Y Combinator, calls AI "most likely" to lead to "the end of the world" at Airbnb's 2015 Open Air conference and proposes $100 billion in federal R&D for AI safety. Altman also discloses a personal investment in an AI safety research company.

AI-Specific Risk Analysis

Bleeding the Future — Stop AI from Buying Our Elections

Leading the Future, a Trump-aligned AI super PAC backed by OpenAI president Greg Brockman, Palantir's Joe Lonsdale and Marc Andreessen, holds more than $140 million to influence elections and push deregulation, military contracts and legal immunity for AI harms. Bleeding the Future organizes advocates, officials and individuals around a pledge opposing the PAC's spending in…

AI-Specific Risk Analysis, Community & Social Impacts, Economic Impacts

Policing Gender: How Surveillance Tech Aids Enforcement of Anti-Trans Laws

In Florida, Texas and Missouri, law enforcement uses geofence warrants, facial recognition, student spyware and health data requests to identify transgender people under new anti-trans laws. Officials collect patient records and driver's license data to track people accessing gender-affirming care, with disproportionate effects on Black trans women and low-income communities.

AI-Specific Risk Analysis, Community & Social Impacts, Human Rights & Labor Exploitation

Oracle and OpenAI Cancel Abilene, Texas Data Center Expansion

AI-Specific Risk Analysis, Economic Impacts, Grid & Infrastructure Impacts, Human Rights & Labor Exploitation

AI has an environmental problem. Here’s what the world can do about that.

AI's rapid expansion drives rising energy use, water consumption, electronic waste and unsustainable mineral demand across the technology's full lifecycle. UNEP traces these environmental pressures from large-model training through hardware disposal and examines governance gaps at international and national levels.

AI-Specific Risk Analysis, Environmental Impacts

AI Infrastructure Politics Tracker

AI-Specific Risk Analysis, Grid & Infrastructure Impacts

AI Data Center Statistics 2026: The $200 Billion Revolution in Global Infrastructure

U.S. data centers consume 4.4 percent of national electricity, with large facilities using up to 5 million gallons of water daily. Compiles growth rates, carbon emissions of 50–75 million tonnes CO2 in 2025, investment projections reaching $7 trillion by 2030 and capacity concentration among AWS, Microsoft and Google.

AI-Specific Risk Analysis, Economic Impacts, Environmental Impacts, Grid & Infrastructure Impacts

Impact Type: AI-Specific Risk Analysis