AI, The Fourth Industrial Revolution, Part I
Artificial Intelligence, the Fourth Industrial Revolution
Artificial Intelligence (AI) marks the dawn of the Fourth Industrial Revolution, following steam, electricity, and Information Technology. While today’s AI capabilities may be overhyped, their rapid evolution is undeniable—each use yields results ranging from brilliant to underwhelming, yet consistently improving on a steep trajectory. Ignoring or dismissing AI risks diminishing future prospects in an era of relentless advancement.Artificial Intelligence in Oil & Gas
Oil & gas presents a challenging future in what is a scientific business. People, Ideas & Objects Preliminary Specification will bring about the ability for producers to commercially compete in North American capital markets. Providing for the most profitable means of oil & gas operations everywhere and always. By supporting the scientific disciplines with comprehensive, actual, factual financial information to base their decisions. Creating a dynamic operational environment which ensures alternative strategies can be deployed and producers profitability is maximized. An accounting and administrative resource that is unavailable to them today, and if it were, would the industry be in the state that it's in? Or, would other decisions have been made by understanding what the business impact of their decisions were.When it comes to the use of AI in oil & gas. From the commercial side of the business the old adage of “garbage in, garbage out” would need to be created if it did not already exist. There is nothing that can be done with estimated, highly aggregated, then summarized data into information when its data has no consistency or meaning. There’s a reason that the scientific approach in oil & gas has dominated. It’s due to the lack of any usable accounting information. As we hypothesize, producers split their focus to the operational side of oil & gas, the science, and the commercial side which focuses on the corporate accounting, tax and regulatory requirements. The Preliminary Specification resolves this conflict by using the Joint Operating Committee as its key Organizational Construct. Where operations will be supported with a business perspective in which to make its decisions.
Our Artificial Intelligence module builds off the data infrastructure prepared in our Performance Evaluation (Joint Operating Committee focus) and Analytics & Statistics modules (Corporate focus). It also conducts the processing and generic or base necessities of the producers and Joint Operating Committees data to alleviate the high costs associated with Artificial Intelligence by sharing this base infrastructure across the producers. Allowing producers to limit their AI costs to the high level, competitive advantages they can generate from the tool.
A Fourth Industrial Revolution
The FYI Podcast from ARK Investments, featuring Dr. Jin Hyung Lee of Stanford University, highlights the limits of binary hypothesis testing in neuroscience and the need for a holistic, system-level approach—accelerated by Artificial Intelligence (AI)—to spark a Fourth Industrial Revolution. This blog post draws parallels to oil and gas, where similar narrow thinking has led to systemic issues. Embracing AI and human-driven holistic design, as enabled by People, Ideas & Objects’ Preliminary Specification, could redefine the industry’s future.Past industrial revolutions—steam, electricity, and Information Technology—displaced manual labor and repetitive tasks, freeing humans for higher-order work. Steam powered factories, electricity enabled production lines, and IT automated data processing, each unlocking new value and industries. AI now supercharges hypothesis testing, analyzing vast datasets and running simulations at unprecedented scales. In neuroscience, Dr. Lee notes that focusing on isolated variables, like amyloid plaques in Alzheimer’s, misses the brain’s complex, interconnected systems. AI can process multidimensional data—neural networks, genetics, and behaviours—revealing insights beyond siloed approaches.
In oil and gas, similar limitations persist. Narrow, operational-focused decision-making, driven by inadequate accounting data, has crippled profitability. The Preliminary Specification addresses this by aligning operations with comprehensive financial insights via the Joint Operating Committee, leveraging AI to process complex datasets and optimize decisions. However, AI excels at specific tasks but lacks the human capacity for holistic reasoning. Dr. Lee faced academic resistance to system-level approaches due to entrenched incentives favouring narrow research—a parallel to oil and gas leadership’s resistance to change.
Humans must lead the Fourth Industrial Revolution by framing questions, designing system-level models, and interpreting AI outputs. Just as steam empowered engineers and IT enabled analysts, AI can enhance oil and gas professionals’ ability to build dynamic, innovative, accountable and profitable operations. The Preliminary Specification’s AI module, built on robust data from our Performance Evaluation and Analytics & Statistics modules, enables producers to harness AI for competitive advantage, redefining what’s possible in a capital-intensive industry. This revolution isn’t just about speed—it’s about creating a sustainable, innovative future.