Today, AI is providing demonstrated operational and financial advantages to energy companies: • Across the value chain, ADNOC, in partnership with AIQ and AVEVA, are predicting a 50% reduction in unplanned shutdowns and a 20% extension in planned maintenance intervals based on the results of pilot projects for its AI-driven Neuron 5 tool. • In carbon management, Chevron’s AI-enabled methane monitoring has halved emissions in key assets.2 • In power generation, AI-enhanced forecasting enables better integration of renewables while maintaining grid stability. A Shared Transformation AI and energy are no longer parallel conversations. In 2025, their convergence is shaping a single transformation: powering AI’s exponential growth while using AI to deliver a cleaner, smarter, and more reliable energy system. Each accelerates the other, and both must evolve together if the world is to meet rising demand and achieve net zero goals. • In midstream, Shell’s predictive maintenance AI reduces pipeline downtime, delivering energy more reliably.3 • In upstream, ADNOC is using AI algorithms to analyze vast geological datasets to improve the accuracy of subsurface mapping, predict reservoir behavior, assess capacity, and reduce uncertainty in site selection. Meanwhile, AIQ, a joint venture between ADNOC and Presight, and Microsoft are deploying AI solutions to ADNOC’s upstream operations to help drive efficiency and cut emissions. These include machine-learning algorithms for predictive maintenance on equipment to prevent leaks and AI analytics to optimize energy use in real time at production sites. ADNOC, through AI solutions provided by AIQ and Microsoft, has identified operational efficiencies expected to reduce its energy consumption by 5–10% in pilot sites – contributing to both emissions reductions and cost savings. AI is also allowing energy businesses to tap into new revenue streams - including AI-optimized LNG and power trading, co-investment in dispatchable generation for data centers, and licensing proprietary AI analytics tools to industrial clients. 2 Chevron methane management, https://www.chevron.com/newsroom/2022/q3/methane-management 3 Artificial Intelligence in Oil and Gas: Applications, Benefits, and the Future, Blackridge Research 2025, https://www.blackridgeresearch.com/blog/artificial-intelligence-machine-learning-generative-ai-oil-and-gas-industry 14