From Pilot to Priority: AI Reshapes Water Systems

A major industry challenge launched in February 2026 is fast-tracking AI-native tools designed to transform PFAS monitoring and treatment at US utilities

28 Feb 2026

The US water sector is shifting from trial use of artificial intelligence to operational deployment, as a February 2026 industry initiative calls for AI to be built into core systems to address contamination.

The Water Council, based in Milwaukee, opened applications on February 26 for its spring Tech Challenge, backed by Xylem and Badger Meter. The programme seeks “AI-native” technologies to improve how utilities detect, treat and manage polluted water. The requirement that AI be embedded from the outset marks a departure from earlier approaches that added analytics to existing infrastructure.

The push comes as utilities prepare for the Environmental Protection Agency’s 2024 National Primary Drinking Water Regulation on PFAS, with compliance required by April 2029. Industry groups say the scale of monitoring and treatment needed cannot be met with conventional tools alone.

The American Water Works Association said in its February 2026 outlook that AI adoption is accelerating as utilities confront both PFAS rules and lead pipe replacement. “Digital tools are becoming more essential as utilities face the perfect storm created by lead line and PFAS mandates,” noted an analysis in Water Online in early 2026, pointing to rising demands on workforce, capital planning and compliance systems.

Research has strengthened the case for AI in this field. A 2025 study in the Journal of Hazardous Materials found machine learning models could exceed 90 per cent accuracy in detecting PFAS contamination and identifying sources, while reducing sampling needs. A separate review in Chemical Science showed AI-based systems can adjust treatment processes in real time, lowering chemical use and operating costs.

For utilities, such gains could improve the performance of common treatments such as granular activated carbon and ion exchange, where optimisation has typically relied on manual adjustments.

Adoption, however, remains uneven. Black & Veatch’s 2025 Water Report, based on 680 respondents, identified staffing shortages as the main barrier, limiting the ability of utilities to deploy AI systems.

The Water Council’s challenge aims to bridge that gap by linking early-stage technologies with utility operators through corporate sponsors. Applications close on April 3, 2026, as the sector faces increasing pressure to translate digital ambitions into working systems before regulatory deadlines take effect.