Across the nuclear sector, many companies are adopting new tools—including AI and machine learning (ML)—to address these challenges. For example, at Kiewit Nuclear Solutions, we have integrated AI/ML across all phases of project delivery. We have invested in a comprehensive digital ecosystem, ensuring that engineering, procurement, and construction teams work from a single source to drive data-driven decision-making, predictive risk mitigation, and execution efficiency. Our advancement of the InEight technology platform integrates vast amounts of project data to provide real-time insights, early risk detection, and process automation, eliminating inefficiencies that have historically plagued FOAK builds and megaprojects.
AI/ML in action
For us, digital transformation has redefined our project delivery experience by addressing three critical challenges:
1. Cost and schedule certainty—AI-powered predictive analytics leverage 200 million-plus hours of historical data to improve cost estimates, resource planning, and risk forecasting. Predictive AI models are now surpassing human accuracy, identifying project risks before they escalate and ensuring that planned budgets and schedules remain realistic.
2. FOAK risk mitigation—Traditional FOAK projects often struggle with evolving designs and shifting scopes, creating a moving target for execution. AI-driven quantity forecasting tools we use dynamically integrate evolving design models with real-time construction planning, ensuring that as designs mature, execution strategies automatically adjust to maintain project stability.
3. Integrated supply chain management—AI/ML enables proactive procurement tracking, reducing long-lead material delays. Digital workflows can synchronize procurement schedules with real-world construction needs, eliminating manual handoffs and ensuring that materials and equipment arrive on time.
By leveraging automation, predictive analytics, and real-time collaboration, the nuclear industry can increase confidence in project outcomes—from concept to commissioning. AI/ML is a foundational tool that helps ensure new nuclear projects are delivered on time, and done right the first time.
Partnering for execution certainty
To ensure the successful deployment of new nuclear energy and fuel cycle infrastructure, we need industry-wide commitment. The nuclear sector must move beyond fragmented project delivery models and embrace data-driven execution strategies that integrate AI, predictive analytics, and digital collaboration.
Execution certainty is possible, and it will take collective effort from technology providers, EPC firms, and project owners alike. By working together to drive efficiency, transparency, and innovation, we can transform the future of nuclear energy. Ultimately, getting it right the first time secures public trust and positions nuclear power to play a critical role in our evolving energy landscape.
Mike Rinehart is president of Kiewit Nuclear Solutions.
