Assumption Inertia: The Hidden Accounting Risk in Utility Transition

Abstract

A recent United States Federal Energy policy has stressed that high energy costs “devastate American consumers” by increasing the cost of “heating, utilities, farming, and manufacturing.” [1] At a time when national policy rhetoric increasingly focuses on how energy costs affect households and industrial competitiveness, regulated utilities still lack a formal, repeatable mechanism to translate real-world asset performance, evolving economic conditions, and emerging policy trajectories back into core accounting assumptions. As a result, accounting treatments increasingly reflect historical expectations rather than current operational and regulatory reality. Key assumptions, particularly useful life, recoverability, and depreciation structure, become effectively frozen once established. They persist even as the conditions they were meant to represent change materially. Over time, this assumption inertia erodes the informational value of financial statements and concentrates risk rather than managing it. This structural lag becomes particularly acute in a transition environment. Asset utilization, policy direction, and economic usefulness can diverge significantly from accounting representations long before formal triggers force adjustment, resulting in deferred recognition and, ultimately, abrupt financial impacts. While advances in AI and analytics have largely eliminated historical data constraints and enabled far more forward-looking insight into asset performance and value, these signals remain largely excluded from accounting judgment due to governance gaps.This paper proposes a Performance-Informed Accounting Feedback Loop; a governed process through which accounting assumptions are periodically revalidated, or explicitly reaffirmed, using observable operational, financial, and policy signals. The objective is not continuous remeasurement, but disciplined reassessment, transforming accounting from a passive recorder of outcomes into a more forward-looking risk management tool.