AI can create value in refining
Industrial AI and our energy future
The energy industry has lagged in adopting AI, but industrial AI could create value through predictive maintenance and optimisation
The success of energy companies is becoming more complex, with the dual challenge of supplying the world’s growing demand while achieving the planet’s need for increased sustainability. Digital technology, particularly AI, is becoming crucial to navigating this complexity and the marketplace’s volatility. 22pc of respondents in a 2020 survey from consulting firm McKinsey report at least 5pc of earnings before interest and taxes (Ebit) attributable to AI. In the manufacturing (process and discrete) sector, 15pc of the AI use cases are in the areas of energy and yield optimisation, and another 12pc in predictive maintenance. But almost every analysis shows that the energy industry is a laggard
Also in this section
11 August 2025
The administration is pushing for deregulation and streamline permitting for natural gas, while tightening requirements and stripping away subsidies from renewables
8 August 2025
The producers’ group missed its output increase target for the month and may soon face a critical test of its strategy
7 August 2025
The quick, unified and decisive strategy to return all the barrels from the hefty tranche of cuts from the eight producers involved in voluntary curbs signals a shift and sets the tone for the path ahead
7 August 2025
Without US backing, the EU’s newest sanctions package against Russia—though not painless—is unlikely to have a significant impact on the country’s oil and gas revenues or its broader economy
