ZeroPoint Capitalism

Plenty of digital ink has been spilled about the coming AI "Singularity"—an event horizon where superhuman intelligence eclipses human capabilities, never to return to the normal state. The term, borrowed from physics to describe a point where known laws break down, has captured the imagination of technologists, philosophers, and increasingly, policymakers. In boardrooms from San Francisco to Shenzhen, timelines that once spanned decades have collapsed into years. The conversation has shifted from artificial general intelligence as a distant possibility to AGI as an engineering problem with a deadline. By the end of this decade, machines will likely exceed human cognitive capabilities across virtually every economically relevant domain. But while the world fixates on the approaching technological singularity, it has largely failed to notice that an equally profound discontinuity has already occurred. On October 31, 2008, amid the chaos of the global financial crisis, an anonymous cryptographer published a nine-page whitepaper titled "Bitcoin: A Peer-to-Peer Electronic Cash System." In that moment, the Economic Singularity arrived—not with fanfare, but with elegant mathematics. For the first time in human history, absolute digital scarcity became possible. The discovery of a method to create and verify scarcity without trusted third parties represents a phase transition in monetary technology as fundamental as the invention of coinage or the development of double-entry bookkeeping. The AI Singularity approaches from the future. The Economic Singularity arrived from the past. And now, in the mid-2020s, we find ourselves at the precise moment of their convergence—two zeropoints colliding to reshape the fundamental relationship between human beings, machines, and money. * * * These convergent singularities are not coincidental. They are complementary—two aspects of a single civilizational transition. This is the thesis of ZeroPoint Capital: that the emergence of superintelligent AI and the adoption of a Bitcoin monetary standard are not merely compatible but necessarily intertwined. Each solves problems the other creates. Together, they represent the only stable equilibrium for a technologically advanced civilization. Consider what has unfolded since 2008. Bitcoin, now in its sixteenth year of uninterrupted operation, has grown from a cryptographic experiment to a $2 trillion monetary network. Institutional adoption has accelerated dramatically: spot ETFs now custody hundreds of billions; corporate treasuries hold Bitcoin as a primary reserve asset; sovereign wealth funds have begun accumulating positions. The infrastructure for a parallel monetary system—one that operates 24/7/365, requires no intermediaries, and cannot be inflated by any government—now exists at civilizational scale. The Economic Singularity is no longer theoretical. Simultaneously, trillions of dollars are being mobilized for what may be the most consequential technological buildout in human history. The cost of producing any form of intellectual output—legal analysis, medical diagnosis, software development, scientific research—is collapsing toward zero marginal cost. The AI Singularity, once the province of science fiction, now appears on corporate roadmaps and national security briefings. These two zeropoints are not parallel developments; they are convergent ones, each accelerating the other toward a common transformation. * * * The core insight is deceptively simple: money is time. When an individual engages in productive labor, they convert their finite allocation of time—the only truly scarce resource any human possesses—into value for others. In exchange, they receive money: a symbolic token representing that sacrifice. Money, properly conceived, is supposed to store that time so it can be deployed later—to purchase shelter, to fund retirement, to transfer wealth to subsequent generations. Money is the mechanism by which human beings transport value across the temporal dimension. Modern fiat monetary systems violate this fundamental purpose. Since the United States severed the dollar's last link to gold in 1971, the currency has lost approximately 87% of its purchasing power. The M2 money supply has expanded from $400 billion to over $21 trillion. Global debt has exploded from $1.5 trillion to over $315 trillion. The Federal Reserve's balance sheet has grown tenfold in fifteen years. These are not abstract statistics—they represent the systematic theft of human time, the expropriation of past labor through currency debasement. The consequences extend far beyond individual portfolios. When money loses value over time, the rational response is to consume rather than save, to borrow rather than accumulate, to prioritize the present over the future. Economists call this "high time preference." Civilizations call it decline. Personal savings rates have collapsed from 12% to 4%. Housing affordability has deteriorated from 3.2× median income to 5.6×. Productivity gains have decoupled from worker compensation. Wealth has concentrated at levels not seen since 1929. The entire incentive structure of modern economies has been inverted: patience is punished, speculation is rewarded, and the future is systematically sacrificed for the present. The Economic Singularity of 2008 offered an exit from this trap. Bitcoin's fixed supply of 21 million coins—enforced by mathematics rather than politics—cannot be inflated regardless of economic circumstances. For the first time since the classical gold standard, individuals have access to a form of money that rewards saving rather than punishing it. The discovery of absolute digital scarcity represents not merely a new asset class but a new monetary regime—one designed from first principles to preserve rather than erode the value of human time. * * * Into this context, the AI Singularity arrives as both accelerant and solvent. AGI will create deflationary pressure unlike anything in economic history. When the cost of cognitive labor approaches zero, the natural trajectory of prices is downward—dramatically, persistently, and across virtually every sector. Technology already exhibits this pattern: computing costs have fallen by a factor of one trillion since 1967; solar energy costs have declined 99.7% since 1977; the cost of genome sequencing has collapsed from $100 million to $200. As AI extends these dynamics to knowledge work, education, healthcare, legal services, and beyond, the entire economy will face deflationary forces that current monetary systems cannot accommodate. Fiat monetary systems require inflation. Debt-based money creation depends on continuous expansion to service existing obligations. Central banks target positive inflation precisely because they understand that deflation—even productivity-driven, "good" deflation—would collapse the debt structures upon which modern finance depends. The result is a fundamental incompatibility: AI pushes prices toward zero while monetary authorities fight to maintain positive inflation. The gap between technological capability (abundance) and monetary constraint (inflation targeting) manifests as unemployment, inequality, and the capture of productivity gains by asset holders rather than workers and consumers. The convergence of these two singularities resolves this incompatibility. Under a Bitcoin standard, technological deflation would transmit directly to consumers as falling prices. Every improvement in AI capability, every efficiency gain from automation, would translate into increased purchasing power for all holders of the monetary unit. The benefits of technological progress would flow broadly through cheaper goods and services rather than narrowly through asset price appreciation. The Economic Singularity provides the monetary infrastructure that makes the AI Singularity beneficial rather than destabilizing. * * * But monetary compatibility is only half the story. The AI Singularity creates security challenges that only the Economic Singularity can address. Every security system in existence—identity verification, reputation systems, permission structures, intent verification—relies on assumptions about the cost and scarcity of intelligent action. When AI can generate unlimited synthetic identities, cultivate fake reputations at scale, and perfectly simulate benign intent, these systems become fundamentally inadequate. The question is not whether adversarial AI will exploit these vulnerabilities but how quickly. Bitcoin's proof-of-work mechanism provides the only robust solution to this challenge. By requiring physical energy expenditure—verified cryptographically rather than through trusted intermediaries—Bitcoin creates a security primitive that cannot be circumvented regardless of adversary intelligence. An AI system attacking the Bitcoin network faces the same thermodynamic constraints as any other attacker; superior intelligence provides no advantage against physics. You cannot fake energy. You cannot legislate it into existence. The laws of thermodynamics apply equally to humans and machines. This is the meaning of "ZeroPoint Capital": zero monetary entropy—the state in which money perfectly reflects productivity gains without distortion; zero counterparty risk—value that depends on no institution, no government, no trusted third party; zero attack surface for AI exploitation—security grounded in physical cost rather than logical constraints. In a world of infinite intelligence, these properties are not merely desirable. They are essential. The zeropoint is where these two singularities meet—and where human agency finds its foundation for the machine intelligence era. * * * Few people are thinking clearly about what happens next. Mainstream economists treat Bitcoin as a speculative bubble and AI as a productivity tool—missing entirely the systemic implications of both. Technology forecasters focus on capabilities without considering the institutional transformations those capabilities will require. Cryptocurrency enthusiasts debate scaling solutions while ignoring the monetary and security properties that make Bitcoin uniquely valuable in an AI context. The synthesis presented in this paper exists in the minds of perhaps a few hundred people worldwide—most of them in San Francisco, working at the intersection of artificial intelligence and digital assets. Through whatever peculiar forces of fate, we have found ourselves among them. A few years ago, these ideas would have been dismissed as fringe speculation. Today, they look increasingly like the only coherent framework for understanding where technology and finance are heading. Whether this framework proves correct remains to be seen. But we believe it deserves serious consideration—not as prediction but as preparation. The Economic Singularity has already occurred. The AI Singularity approaches rapidly. The window for understanding their convergence—and positioning accordingly—exists today. It may not exist tomorrow. Let us tell you what we see.