The energy and utilities sector is entering one of the largest infrastructure expansion cycles in its history. Rising demand from AI and data centers, electrification, and energy security is driving unprecedented investment across generation, transmission, and distribution. Duke Energy’s recently announced $103 billion five-year capital program[1] is just one indication of the scale of the opportunity ahead.
Yet capital alone will not deliver this infrastructure. The emerging constraint is the industry’s ability to execute.
Utilities must build more infrastructure, faster, while maintaining the safety, reliability, and affordability on which the sector depends. At the same time, engineering talent is scarce, supply chains remain constrained, and increasingly complex projects are putting pressure on traditional delivery models.
The operating models that served the industry well in an era of more stable demand were simply not designed for the speed and scale now required. The good news is that this infrastructure supercycle coincides with a technology cycle that can fundamentally change the economics of execution.
AI, combined with digital engineering and new global capability models, offers utilities the opportunity to dramatically increase engineering productivity and capital efficiency. Applied across the capital project lifecycle – from planning and design through engineering, procurement, construction, and commissioning – these technologies can augment scarce expertise, automate engineering workflows, improve decision-making, and help compress project timelines.
The opportunity goes beyond deploying new technology. Capturing its full value will require utilities to rethink how engineering work gets done: redesigning workflows, strengthening data foundations, building new operating models, and scaling innovation within robust governance frameworks.
The question for energy leaders is therefore no longer simply how much capital they can deploy, but how much infrastructure they can deliver for every dollar invested – and how quickly they can turn that investment into productive assets. AI has the potential to fundamentally change that equation.
