Teaching AI to Run with the Turbines

Artificial intelligence (AI) is increasingly being integrated into industrial sectors in the UK, particularly within energy companies. While AI has gained popularity through consumer applications like chatbots, its most significant impacts are being felt in industries where safety, operational continuity, and physical infrastructure are critical.

As energy firms adopt AI technologies, they are discovering that successful implementation hinges on robust governance, reliable data, and systems that enhance human expertise. Andrew Melouney, Vice President for Digital at Woodside Energy, emphasizes that the effectiveness of AI in these environments is not solely about the technology itself but also about how it is governed and integrated into existing operations.

The push for AI in the energy sector is part of a broader trend towards digitization and automation, aimed at improving efficiency and reducing operational risks. This shift is particularly relevant for the UK's energy landscape, which is undergoing significant changes to meet sustainability goals and adapt to new energy demands.

As AI systems become more sophisticated, they are expected to play a vital role in managing complex industrial operations, including turbine management and energy distribution. The focus on augmenting human capabilities rather than replacing them is seen as a key strategy for successful AI deployment in these critical sectors.

Source: www.technologyreview.com – https://www.technologyreview.com/2026/07/02/1138433/teaching-ai-to-run-with-the-turbines/