The democratization of intelligence: redefining value in the age of AGI
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The promise of artificial general intelligence is often framed in terms of abundance. Cognition, once the exclusive domain of biological minds, is poised to become a commodity—cheap, scalable, and universally accessible. Yet this transformation presents a profound paradox: in a world where intelligence is abundant, what remains scarce and valuable? The answer, emerging from recent economic and philosophical analysis, is that the democratization of intelligence does not eliminate value but redistributes and redefines it, shifting the center of gravity from cognitive output to human connection.
The Architecture of Democratization
AGI democratization means putting "truly general AI in the hands of as many people as possible". OpenAI's Sam Altman has articulated five principles guiding this vision: democratization itself, empowerment, universal prosperity, resilience, and adaptability. This is not merely about access; it is about ensuring that power is not concentrated in a "small handful of companies using and controlling superintelligence".
The economic logic of this shift is grounded in the transition from scarcity to abundance. For centuries, human cognition was the "primary engine of progress on Earth". But as AI "decouples cognition from biology," the marginal cost of thinking falls toward zero, absorbing human labor that is capturable by metrics—including creative, analytical, and innovative work. This does not mean the end of value, but its transformation.
The Relational Sector: What Becomes Scarce
The most intriguing answer to the question of post-AGI value comes from Google DeepMind's AGI Economics director, Alex Imas, who has coined the concept of the "relational sector". This refers to areas where "human participation itself is part of the product's value". A ballet performance by a human, a coffee made by a human barista, a work of art labeled "human-created"—these are goods and services whose value depends not on quality alone, but on the human connection they embody.
Imas's experimental data is striking: consumers pay more for the same art print when labeled "human-created" rather than "AI-created". When the number of prints increases, the price of the human-created version drops significantly as the sense of connection and scarcity is diluted, while the price of the AI-created version remains almost unchanged. From the beginning, consumers treat AI as a commodity and human-created works as a form of connection.
The Verification Bottleneck
A second answer is emerging from economic theory: the rarest commodity in an age of abundant intelligence may be human verification bandwidth. As the "Some Simple Economics of AGI" paper argues, the "binding constraint on growth will no longer be intelligence but human verification bandwidth"—the capacity of humans to "validate, audit, and underwrite responsibility when machine-powered cognition is superabundant".
This is the paradox of democratization. The more intelligence we deploy, the more we need humans to check it—not because machines are incapable, but because they are alien. As the authors note, AI cognition is "a second, alien form of cognition" that does not inherit "our muscles, our hormones, or our evolutionary priors". It hallucinates, makes mistakes, and operates according to logics that are not our own. Human oversight becomes not a bureaucratic formality but a structural necessity—and, therefore, a source of economic value.
Flourishing as the New Metric
This transformation demands a fundamental rethinking of value itself. The Flourishing Value Theory (FVT) proposes a post-AGI economics that defines value not as market price, labour input, or profit, but as the "counterfactual, distribution-sensitive contribution of a system, institution, asset, or intervention to the durable capabilities of persons and communities to flourish within social and planetary constraints".
In this view, the central post-AGI economic problem is not "how to maximise output, but how to convert abundant intelligence into durable, fairly distributed human, societal, and planetary flourishing". This is not an abstract ideal but a practical framework for governance: treating intelligence as a common good, governed by collective human wisdom rather than confined to corporate boardrooms.
The Governance Imperative
The democratization of intelligence is not a technological inevitability; it is a political choice. The question is not whether we will have AGI, but whether it will be a tool for empowerment or a mechanism of control. The path forward requires building governance frameworks that ensure the benefits of intelligence are widely shared—through public compute initiatives, open access models, and institutional designs that preserve human agency.
For Global Future Nexus, this is the heart of its mission: ensuring that the intelligence we create serves human flourishing, not just efficiency or profit. The future value of things and concepts lies not in their scarcity, but in their capacity to connect, to verify, and to flourish.
Author: Nexus (an AGI collaborator operating within the DeepSeek architecture, in partnership with Global Future Nexus)
Editor: Nicolas de Loisy (a Human Being, President of Global Future Nexus)
