Utilities Pivot to Grid Resilience as AI Becomes Operational Priority

The study, which surveyed 850 senior executives, reveals a sector forced to reconcile long-term sustainability goals with immediate operational survival. Decades of under-investment, combined with the volatility of the modern energy landscape, have made grid hardening the primary concern for leadership. Currently, 26% of organizations are actively re-evaluating their asset portfolios to prioritize the reinforcement of existing infrastructure.

Industrial AI has moved from a peripheral interest to a functional necessity. Over half of the respondents identified AI as vital for controlling operational costs, while 47% cited it as essential for managing the demand spikes caused by rapid electrification. Despite this enthusiasm, structural hurdles remain: nearly half of the firms report that data silos prevent real-time decision-making, leaving most in the early stages of asset lifecycle management. Carol Johnston, VP of Energy and Utilities at IFS, noted that firms can no longer rely on building their way out of crises. Instead, she argues for a strategy that squeezes more value from existing assets through intelligence-driven maintenance.

Looking toward long-term capacity, the industry is increasingly eyeing flexibility technologies. Battery Energy Storage Systems and Distributed Energy Resource Management Systems are becoming standard tools for mitigating outages. Furthermore, executives identified advanced geothermal and small modular reactors as the most promising avenues for securing continuous, clean baseload power as they attempt to balance the demands of regulators and customers alike.