_ As we begin 2026, the US remains the world’s largest producer of crude oil, averaging about 13. 6 million B/D in 2025. While growth appears to be slowing and output is expected to drop modestly to 13. 5 million B/D in 2026, according to recent figures from the US Energy Information Administration, the US has nonetheless reminded us that exploiting fossil fuels is not the ultimate problem. The bigger challenge is how we minimize or eliminate emissions while meeting global energy needs. In 2019, I wrote about our industry’s quest for operational efficiency and last year I described an artificial intelligence (AI) shockwave. Today, I believe we are also witnessing the convergence of shale and silicon logic, driven by what is now called the Fifth Industrial Revolution. This new era is one in which human ingenuity and machine reasoning will coevolve to confront the dual challenge of energy security and environmental responsibility. The effort will be guided by the twin imperatives of stewardship and ecocentrism. To understand what makes this shift a key part of the Fifth Industrial Revolution, consider the arc of industrial progress. The First Industrial Revolution introduced mechanization through steam power. The second harnessed electric power to enable mass production. The third brought digital computing and automation. The fourth, which I described in 2019, linked the digital and physical worlds through the industrial internet of things, cloud computing, and advanced analytics. The fifth transcends connectivity with autonomous agents that perceive, learn, and act. With these systems, humans and machines collaborate to solve previously intractable problems. In oil and gas, this means advancing from digitally assisted operations to self-optimizing systems that balance competing objectives in real time. This article explores how that transformation is unfolding, what it means for our profession, and why it represents this pivotal moment. The impact of AI on oil and gas has accelerated through three distinct waves, each building upon the last, with the third wave defining the Fifth Industrial Revolution itself. AI’s Third Wave: Agents, Autonomy, and Adaptation The first wave of AI, from 2015 to 2020, built the physical foundation. This involved specialized chips and cloud infrastructure that enabled large-scale machine learning. A second wave from 2020 to 2024 centered on the capabilities made possible by large language models (LLMs) and generative AI-powered by graphics processing unit (GPU) acceleration that expanded what machines could create, from automated reporting to the synthesis of realistic data. The third wave, from 2024 to present, has been described by some to be about agency. This involves autonomous digital systems that plan, act, and learn continuously without explicit instruction. An AI agent is not only a model that answers questions, but one that is also capable of handling key tasks without constant supervision. These routines include monitoring conditions, retrieving relevant information, performing analyses, and adapting strategies as new data arrive. For example, a drilling agent might search technical literature, perform optimization using specialized numerical tools, and simulate well trajectories in a reservoir-modeling software. It can refine its approach continuously as new information emerges. In essence, an agent delivers value by solving multistep problems and running workflows that once required teams of specialists.
Michael Thambynayagam (Sun,) studied this question.