Can AI Predict Which Water Main Will Break Next?

Can machine learning and AI meaningfully predict water-main failure better than conventional risk-based asset management — and is the technology mature enough for operational use?

Machine learning does beat the heuristics most utilities actually use — pipe age and simple age-plus-material scoring matrices — at the task of ranking which segments of a network are most likely to fail over a multi-year horizon. That finding is reproducible and comes from independent academic work. This review separates what independent research demonstrates from what vendors forecast, examines the data conditions required, and sets out the questions to ask before procurement.