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TRUVACE RECORD VERSION
record: TRV-2026-2582
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T07:57:19.474357Z
status: published
lens: p_space
sector: climate
headline: Extraterritorial Environmental Accountability of AI Data Centers via Transboundary Harm and Due-Diligence Norms
dek: Abstract Artificial intelligence workloads are propelling a global wave of hyperscale data-center construction, yet little is known about how carbon intensity and water stress differentials shape sitting decisions or how the resulting externalities intersect with international environmental law. Drawing on a novel dataset of 247 AI-optimized projects announced between 2018 and 2025, this article couples’ event-study econometrics with life-cycle modeling to quantify cross-border spill-overs. Every 100 g CO₂ kWh⁻¹…
gain_title: (none)
problem_title: A study of 247 AI data-center projects found siting choices produce 21.4 Mt of first-year CO₂ leakage and 1.78 billion litres of water withdrawal, while only 18% of covered firms disclose project-level emissions.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: A study of 247 AI data-center projects found siting choices produce 21.4 Mt of first-year CO₂ leakage and 1.78 billion litres of water withdrawal, while only 18% of covered firms disclose project-level emissions.
problem_evidence: only 18 percent of those firms disclose project-level emissions factors
quick_read: A study of 247 hyperscale AI data-center projects announced between 2018 and March 2025 found that siting favours high-carbon grids. Each 100 g CO₂ per kWh increase in a host grid raised the chance of attracting new capacity by 8.1 percentage points. The authors estimate first-year offshore leakage of 21.4 million tons of CO₂ and 1.78 billion litres of water for a typical 150-megawatt site.

The projects represent 37 gigawatts of planned load across 34 jurisdictions. Moving from low to high water stress cut siting probability by 5.7 percentage points, but the effect vanished where grids were low-carbon, which the authors read as firms putting carbon optics ahead of water risk. Three areas, central Arizona, northern Virginia and Madrid, carried 58% of the cross-border withdrawal burden.

The authors say 71% of the carbon leakage and 64% of the water leakage trace to firms covered by the EU Corporate Sustainability Due Diligence Directive. Yet 18% of those firms disclose project-level emissions and 7% report any water figure. Their estimates rest on announced design loads and average cooling coefficients, so realised impacts may differ.
limitation: The leakage estimates rest on announced design loads and assumed high utilisation, use average regional water-efficiency coefficients, and may undercount edge projects below 20 megawatts.
tag: Evidence-backed problem
key_points: The dataset covers 247 announcements from January 2018 to March 2025, 37 gigawatts of planned load and 34 host jurisdictions. | Each 100 g CO₂/kWh rise in host-grid intensity raised siting probability by 8.1 percentage points; weighted by capital spending the figure was 11.4. | Median offshore surplus was 348 kg CO₂ per kWh of delivered compute; the upper quartile reached 612, driven by Alberta, Poland and the US mid-Atlantic. | The median water differential was 0.49 L per kWh; cutting it with hybrid cooling reduced aggregate leakage by 37%, but residual withdrawals still exceeded replenishment credits in six of nine high-stress basins. | 24/7 carbon-free procurement cut the carbon surplus by 46%, yet more than one-third of projects lacked the local renewable supply to meet it. | Of projected AI-linked load, 42% falls in US counties above the national median for both poverty and non-white population share. | A compute-adjusted border mechanism would have internalised 12.6 million tons of emissions (59%), and a water footprint certificate would have saved 620 million litres (34%).
rundown: The authors combined event-study and spatial-panel models with life-cycle assessment. They matched announced projects to hourly grid carbon factors and basin-level water-stress scores, then compared each project's footprint with running the same workload on the importing client's domestic grid. The carbon total is roughly the 2022 national inventory of Croatia.

The water finding is lopsided: Arizona, northern Virginia and Madrid carried 58% of the burden. The authors' model has 24/7 carbon-free power reducing carbon leakage from 21.4 to 11.6 Mt and hybrid cooling reducing water leakage from 1.78 to 1.12 billion litres. They argue the size and foreseeability of the harm meet the 'appreciable harm' standard in international law, a legal interpretation rather than a court finding.

The authors recommend hourly water reporting, a compute-adjusted border adjustment and a water footprint certificate, and say distributional effects fall on poorer communities.
sources:
- peer_reviewed | Environmental Management | https://doi.org/10.1007/s00267-026-02610-1 | 2026-09-01
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