Artificial intelligence is being integrated into critical infrastructure, particularly in the energy sector, where operational continuity and safety are crucial. A notable example is Woodside Energy, which has adopted AI to optimize its industrial systems, leveraging the constant stream of operational data to improve efficiency. This approach enables the company to enhance its physical infrastructure and maintain uninterrupted operations. The use of AI in such contexts signifies a shift towards a more nuanced application of the technology, moving beyond consumer-facing tools like chatbots and image generators. As AI becomes a core operating layer in industries with complex systems, its potential to transform operational paradigms becomes increasingly evident1. This development matters to practitioners because it underscores the need to reassess the role of AI in critical infrastructure, recognizing its potential to drive significant improvements in operational efficiency and safety.