Regulating Water Consumption by AI Data Centers in Pakistan: An Environmental Law Framework for Sustainable Liquid-Cooling Technologies

Abstract

The expansion of artificial intelligence (AI) is increasing demand for high-density computing infrastructure and advanced thermal-management systems. Although the environmental debate surrounding data centres has focused heavily on electricity and carbon emissions, water consumption is an increasingly important issue because cooling can require substantial quantities of water, often in locations where water resources are already under pressure. The legal problem is particularly relevant to Pakistan, where environmental and water governance is distributed across constitutional, federal, provincial, policy and technical instruments. This article examines whether Pakistan's existing framework can adequately regulate water consumption by AI-intensive data centres, with particular attention to liquid-cooling technologies. It uses doctrinal legal research and comparative regulatory analysis of Pakistan's environmental and water instruments alongside ISO/IEC 30134-9:2022, ASHRAE guidance and the European Union's data-centre sustainability framework. The analysis finds that Pakistan does not have an absence of environmental regulation; rather, it has a sector-specific regulatory gap. Existing instruments address environmental assessment, water conservation, groundwater protection, building water efficiency and, more recently, data-centre efficiency within the Pakistan Green Taxonomy, but they do not yet form a coherent regime requiring data centres to measure and disclose water consumption, identify water sources, assess cooling-system water risks and apply standardized water-performance requirements. The article proposes a water-risk-based framework built around Water Usage Effectiveness (WUE), absolute water-use reporting, source controls, groundwater safeguards, cooling and heat-rejection assessment, water reuse, location-sensitive permitting, verification and enforcement. The framework deliberately avoids prescribing liquid cooling as a universally superior technology. Instead, it regulates the environmental performance of the complete thermal-management system. The article concludes that integrating existing Pakistani environmental and water principles with internationally recognized data-centre metrics can provide a legally practicable basis for supporting AI infrastructure while protecting water resources.

Keywords: artificial intelligence, data centres, environmental law, Pakistan, water consumption, Water Usage Effectiveness, liquid cooling, groundwater, sustainable cooling, Environmental Impact Assessment (EIA), Initial Environmental Examination (IEE)

https://doi.org/10.5281/zenodo.23158522