21st Century Marketplace Vision - Our User Community - Part XIV
Four, Edge
Individual AI optimizes for usage.
Institutional AI optimizes for edge.
Coordination, signal, and bias defining the first three institutional challenges of Artificial Intelligence, edge defines the fourth. The issue is not whether a technology is widely used, but whether it creates a differentiated capability that matters economically. Usage alone is not strategy. Edge is.
Cloud computing introduced a cost-sharing logic that is difficult to dispute. The sharing of the capital, operating, and maintenance costs of Information Technology infrastructure is a rational response to the inefficiency of requiring each firm to build the same foundational capabilities for itself. That advantage becomes especially important where computing demands are dynamic and where on-demand access to processing capacity provides both flexibility and cost discipline.
Those benefits are now being challenged by the growing fashion for so-called edge computing, in which some functions previously performed in the cloud are reclaimed within the firm itself. From my admittedly biased perspective, this often appears to be a classic Information Technology turf war between competing empires. Firms that pursue edge computing for reasons of data control or institutional preference may be redirecting resources toward areas in which they possess no competitive advantage and which do not form part of their distinct competitive advantage. To restore their decimated empires in Information Technology.
This issue becomes even more pronounced when one moves from edge computing to edge Artificial Intelligence. In that setting, the argument strengthens for shifting more computational capability back inside the firm. If accepted uncritically, that logic begins a long march away from cloud computing, along with its cost advantages and its dynamic access to scalable computing power. That may be appropriate in narrow circumstances. It should not, however, be mistaken for a general institutional advantage, particularly where firms’ real strengths lie elsewhere. Or in areas such as accounting and administration that do not form distinct competitive advantages of the firm.
For Synallagi, that distinction is important. The 21st Century Marketplace Vision for Oil & Gas papers being written for 2026 address the development of the Petroleum Lease Marketplace, Resource Marketplace, and Financial Marketplace, together with the Targeting Framework. I do not presently see any necessary dependence of those structures upon edge Artificial Intelligence. That point is not especially material in any event, because the architecture, design, and development of Synallagi have now been passed to our user community. If they identify a productive use for such an approach, they will be in a position to implement it. What remains important at the architectural level is that one of Synallagi' principal benefits lies in the consistency of its Organizational Constructs, including Professor Paul Romer’s theory of Endogenous Technical Change, or sharing and its massive cost reductions.
This returns us to George Sivulka’s central point. The goalposts in Artificial Intelligence move continuously. Foundation model firms iterate rapidly and compete across broad populations of users. Yet the true edge does not lie with broad access alone. It lies with purpose-built applications that remain ahead in their specific domain because of their unyielding focus on a defined commercial problem. Even as foundation models improve, the capabilities that matter most for business outcomes will continue to reside in products designed for particular tasks, industries, and institutional purposes and not technologies.
That is the sense in which edge should be understood here. It is not primarily a question of where the computing physically occurs. It is a question of where differentiated institutional capability is created. Synallagi is designed to create that edge through domain-specific transaction architecture, process discipline, standardized accounting, and coordinated execution across oil & gas. Its edge lies in the structured integration of Information Technology, Intellectual Property, the Targeting Framework, and the specialized knowledge of our user community. That is a far more durable basis of advantage than the internal ownership of computing infrastructure for its own sake.
None of this should be confused with the tools of the user. It is entirely reasonable to expect that users of Synallagi will access multiple cloud computing services through many different devices, and that much of that access will increasingly be mediated by Artificial Intelligence-based tools that either interact with Synallagi. That is not the issue. The issue is whether the producer firm should begin rebuilding substantive administrative and accounting infrastructure within itself under the banner of edge capability.
People, Ideas & Objects’ view is that this would be a strategic error. We regard oil & gas producers as possessing distinct competitive advantages in their land & asset base, and in their engineering & geological capacities and capabilities. Our domain of concern is the most profitable means of oil & gas operations. Administration and accounting are not competitive advantages in themselves. They are competitive necessities. For producers to leave those functions to those who choose to make administrative and accounting capacities and capabilities most profitable for producers is, in our view, the wiser decision.
That is the underlying point. Edge, properly understood, is not a matter of reclaiming infrastructure for symbolic control. It is a matter of concentrating institutional effort where genuine advantage can be created. Synallagi is designed on that basis. It does not seek to make producers owners of more internal Information Technology territory than they need. It seeks to provide them with a purpose-built institutional capability that strengthens profitability, coordination, and execution across the marketplace.
Five, Outcomes.
Individual Artificial Intelligence saves time.
Institutional Artificial Intelligence scales revenue.
Since the initial publication of Synallagi in August 2012, People, Ideas & Objects have advanced a value proposition in the range of $25.7 trillion to $45.7 trillion over the first twenty-five years of operation. That proposition was set out in greater detail in a series of publications during February 2013 and in value calculations prepared on February 23, 2015. Its logic has since been reinforced by our analysis of continental natural gas revenue losses this century, which exceed $5 trillion.
A central element of this value proposition is the treatment of capital. Over the same twenty-five year period, consensus capital requirements appear to fall within a range of approximately $20 trillion to $40 trillion. Synallagi’ management of capital differs fundamentally from current industry practice. By recognizing capital within a competitive time frame consistent with the expectations of North American capital markets, Synallagi replaces the failed doctrines of “building balance sheets” and “putting cash in the ground” that have characterized the industry’s muddle through strategy.
This approach is appropriate to a capital-intensive industry. In such an industry, it is reasonable to conclude that a substantial portion of the goods and services purchased are capital in nature. Those costs should therefore be passed through to the consumer. Under that framework, cash previously absorbed by capital programs is returned to the producer for repeated reuse. That is a material departure from current practice, where capital is often recovered over decades. People, Ideas & Objects believe North American capital markets are now effectively requiring return of capital in roughly thirty months, and oil & gas should be competitively aligned with that commercial standard.
When combined with Synallagi’ price maker strategy, this capital treatment would generate a materially stronger cash position. As capital costs are recognized and passed through to the consumer, previously committed cash is restored to the producer and becomes available for redeployment.
These elements represent only part of the broader method through which People, Ideas & Objects generate value through Synallagi. At its core, Synallagi is a business system designed to provide the most profitable means of oil & gas operations. These are not technology-led changes in search of a purpose. They are business problems resolved through Information Technology.
When People, Ideas & Objects first published Synallagi’ value proposition, the reaction was severe. Our reputation took a substantial hit and, at the time, we were treated as a laughing stock. In fairness, that response was understandable. The scale of the numbers appeared extraordinary. Yet the underlying assumptions were sound. Massive, industry-wide, chronic overproduction, and prolonged periods of unprofitable production, compound into extraordinary destruction of value. Equally important, the capital-intensive nature of oil & gas dominates the economics of the business. Against that reality, the industry’s attachment to “building balance sheets” and “putting cash in the ground” stood in direct opposition to commercial reasons. Those conditions were the basis on which we confidently published our now substantiated value proposition.
Six, Enablement.
Individual Artificial Intelligence gives you a tool.
Institutional Artificial Intelligence shows you how to use it.
People, Ideas & Objects have chosen to concentrate on three competitive advantages: our user community, Intellectual Property, and Research. Of these, our user community is the principal focus. It is the center of gravity in our organization. They are our customers. The rest of our effort is organized around them.
Accordingly, we are not allocating our energy to building an in-house software development capability. That work will be secured contractually through Oracle. We do not see value in entangling People, Ideas & Objects in a multi-year effort to assemble and manage a software development organization capable of meeting Synallagi’ requirements. We regard software development as an increasingly standardized commercial capability, and one that Artificial Intelligence will further commoditize. Where capability can be purchased effectively by contract.
The effort that would otherwise have been consumed building such a team is instead deployed into our user community. That distinction is important. Our user community are not employees of People, Ideas & Objects for the purpose of designing and developing Synallagi. They are independent businesses licensed to design and develop Synallagi and to own and operate service provider organizations. Their customers are North American oil & gas producers. People, Ideas & Objects retain no financial interest in those businesses beyond the issuance and control of Intellectual Property licenses.
Our user community will consist predominantly of accountants and administrators, though it must also include sufficient Information Technology capability to manage the underlying technical environment. The key point, however, is that domain knowledge comes first. The future value lies less in generic software skill than in the ability to encode business processes, operational logic, and institutional knowledge into working systems.
George Sivulka of hebia.ai made an observation that aligns closely with our own thinking. He argued that whether one calls it process engineering or the preparation of system instruction files, the future of institutional Artificial Intelligence will require an industry dedicated to encoding firm processes into agents and carrying out the change management required to put those agents into operation. He further argued that process engineering may become one of the most important technology disciplines in the near term, and that in this work business and industry expertise matter more than software expertise. That judgment is highly relevant here. Domain-specific solutions require professionals who understand the business itself, the deployment environment, and the organizational changes necessary to make the system work in practice.
That is precisely the orientation of People, Ideas & Objects. We believe the best software is user driven, and that this principle applies with particular force to Enterprise Resource Planning systems. In oil & gas, implementations have historically begun with strong user participation and a stated commitment to user involvement. That commitment has often lasted only until the early budget and progress reports revealed that time and cost had been underestimated. At that point, user participation was deemed the first casualty.
People, Ideas & Objects have worked to reduce the time required for our user community to complete its work. The conceptual model of Synallagi is highly intuitive. The seven Organizational Constructs give industry participants a built-in understanding of how activities are organized and why they are performed as they are. Synallagi has also been present in the market for more than a decade. People have had time to consider it. It is not appearing without context. It has been absorbed, debated, and reflected upon over time.
At the same time, we are not constrained in software development capacity. Oracle and its associated capabilities provide a practical path to delivery. This is not an argument for celebrating their consultants as such. It is simply recognition that large-scale projects have been completed successfully before, and that People, Ideas & Objects do not need to vertically integrate software development capabilities in order to move Synallagi forward.
The more important question is whether this opportunity has real value for our user community members. I began Synallagi with the objective of resolving the overproduction problem in oil & gas through the Joint Operating Committee. From that starting point emerged a larger commercial opportunity: ownership of a licensed process within an Enterprise Resource Planning system designed specifically for oil & gas; a compensation system oriented toward performance and innovation; and a business model in which value delivered to producers is translated into recurring and increasing monthly income.
That is not a conventional employment proposition. It is a 21st century marketplace opportunity our user community members must consider.
Seven, Unprompted
Individual Artificial Intelligence responds to human prompts.
Institutional Artificial Intelligence acts unprompted.
In Synallagi, this distinction is decisive. The objective is not merely to place smarter tools in the hands of users. The objective is to construct an institutional environment in which action can be initiated, coordinated, and completed within defined authority, without waiting for continuous human prompting. In that sense, unprompted action is not an incidental feature of the system. It is one of the governing design principles of Synallagi. Markets as an Organizational Construct of Synallagi will ensure producers will be dynamic, innovative, accountable and profitable. That is what we are designing in the rebuilt culture of reserves preservation, performance and profitability.
