Wildfire mitigation becomes a capital allocation challenge

Get the Energy newsletter
Daily energy & climate — solar, EVs, oil, the policy fights and tech bets shaping the transition. Free.
- Jeff Pauska, vice president of product management for IFS Copperleaf, argues wildfire mitigation has evolved into a complex capital allocation challenge that traditional inspection cycles and static maintenance schedules can no longer handle.
- Pacific Gas and Electric plans to underground 1,900 miles of lines by 2027, with thousands more miles from 2028–2037, plus clearing 4.4 million trees, installing 1,600+ weather stations, and deploying 700+ high-definition cameras with AI capability.
- Hawaiian Electric projects nearly $500 million in wildfire mitigation spending over its approved 2025–2027 plan, including roughly $60 million to install covered conductors on about 56 miles of overhead lines at an average cost of $1.07 million per mile.
- Asset investment planning tools transform vendor-agnostic wildfire risk data into financially quantified expected loss, integrating asset attributes, intervention costs, and capital constraints to maximize risk reduction per dollar spent.
- The platforms enable utilities to mathematically weigh trade-offs between capital-heavy strategies like undergrounding and operational interventions such as Public Safety Power Shutoffs, quantifying both the cost of action and the cost of inaction.
- Two-way mapping and spatial data analytics built into the software let regulators, executives, and communities visually explore asset-level risks and the geographic impact of specific investments.
Why it matters: Regulators are demanding that utilities defend every wildfire mitigation dollar with data, and PG&E and Hawaiian Electric are already committing hundreds of millions to undergrounding, covered conductors, and AI-enabled monitoring. A portfolio-based planning approach turns fragmented risk data into a single defensible capital plan — directly answering the scrutiny driving these multi-year, billion-class programs.




