When I was attending graduate school at the University of Southern California in Los Angeles, one of the most durable business lessons I encountered was the theory of First-Mover Advantage. The idea was simple enough for every business student to remember, but deep enough to shape how companies, investors, and governments think about strategic timing: the first serious entrant into a new market can define the category, capture scarce resources, build customer loyalty, and create barriers that make later competition more expensive. In its simplest form, First-Mover Advantage means that the first company to occupy a market segment…

Consider a simple, everyday interaction with CVS Pharmacy. You receive a notification that your prescription has been filled, accompanied by options to pick it up in-store, pay online, or request delivery within a defined time window. Beneath this seemingly routine experience lies a coordinated system that verifies insurance eligibility, manages inventory, processes transactions, and schedules fulfillment across multiple operational layers. This is a basic form of delegation, where software systems execute predefined tasks on behalf of a user within structured constraints. Now extend this model beyond rule-based automation into a system capable of reasoning, adaptation, and autonomous execution.…

On April 16, 2026, at Stanford Graduate School of Business, Jensen Huang described artificial intelligence as a “five-layer cake”—a conceptual model spanning energy, chips, datacenters, models, and applications. This same framing appeared earlier at the World Economic Forum Annual Meeting, where the idea of AI as infrastructure—not software—was repeatedly emphasized. “AI is not just software. It is infrastructure.”¹ This paper takes that conceptual statement and expands it into a fully articulated economic framework: the Five-Layer AI Economy. This is not a metaphor. It is a structural model. Artificial intelligence today is not a single market, not a vertical…

While outlining this paper, I was reminded of my time in graduate school at University of Southern California in Los Angeles, where one of the foundational readings centered on classical economic theory: the enduring principle that “location, location, location” defines industrial organization. From Alfred Weber’s early 20th-century work on industrial location to modern urban economics, firms have historically clustered around natural resources, labor pools, and transportation networks.¹ Cement plants formed near limestone deposits. Steel industries emerged beside coal and iron. Manufacturing followed railroads, ports, and waterways. Geography was destiny because production was bound to matter. The late twentieth…

For nearly two decades, the technology industry has been obsessed with a single archetype: the billionaire founder. Wealth was the metric, valuation the scoreboard, and scale the silent assumption. But by 2026, this narrative is collapsing under its own weight. The emergence of trillion-dollar firms such as Apple Inc., Microsoft, and NVIDIA has fundamentally altered the ceiling of ambition. A billion is no longer aspirational—it is baseline. What replaces it is not merely a new number, but a new language. The word “TERA”—denoting one trillion—has begun to seep into naming conventions of next-generation infrastructure. This is not coincidence.…

The frontier of industrial power is no longer defined by production capacity alone—it is defined by the scale at which computation can be manufactured, integrated, and deployed. What began as a revolution in software has evolved into a contest over physical infrastructure, energy systems, and fabrication dominance. This paper introduces a new term: Terafab Economics. Terafab Economics describes the emergence of trillion-dollar, vertically integrated AI manufacturing zones capable of producing computation at terawatt-scale energy and tera-level processing output, where fabrication, energy, and deployment converge into a single industrial system.¹ Over a decade ago, Elon Musk popularized the term…

The structure of power is undergoing a transformation that is both subtle and profound. For centuries, political authority has been organized around the sovereign state—centralized, territorially bound, and ultimately responsible for governance. That model assumed governments controlled the systems that mattered most: communication, intelligence, infrastructure, defense, and economic coordination. That assumption no longer holds. This paper introduces the term Distributed Leviathan. The concept of Leviathan, drawn by Thomas Hobbes, describes a singular sovereign authority: one state, one center of control, one ultimate source of decision-making. In simple terms, it represents centralized power. But the AI era has fundamentally…

The center of technological competition is no longer defined solely by innovation, nor by the sophistication of algorithms or models. Instead, power is increasingly determined by something more physical, more capital-intensive, and more geographically constrained: infrastructure. The decisive question is no longer who invents, but who builds—and where those systems are built. This paper adopts the term Infrastructure Primacy to describe this shift. The phrase reflects a structural transformation in global power dynamics: the primacy of infrastructure over invention. In earlier eras, technological leadership could be achieved through intellectual breakthroughs alone. Today, breakthroughs must be instantiated in physical…

Global power has always been tied to what nations accumulate and control. In earlier eras, this meant land, gold, and industrial output. In the 20th century, it shifted toward oil and energy systems. In the 21st century, a new axis is emerging: compute capacity—the ability to generate intelligence at scale. This paper adopts the term compute mercantilism to describe this transformation. Classical mercantilism was defined by the accumulation of gold reserves and the pursuit of trade surpluses to strengthen national power. Today, a similar logic is reappearing—but instead of gold, nations are accumulating: The analogy is not metaphorical—it…