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Chimera readability score 68 out of 100, Academic reading level.

Artificial general intelligence could dramatically increase human prosperity and free people from countless mundane tasks. But unless its benefits and ownership are broadly shared, it could deprive billions of workers of their livelihoods and pave the way for a new form of techno-authoritarianism.
By Kaushik Basu
NEW DELHI—The prospect of artificial general intelligence—systems capable of performing any human cognitive task—has inspired both hope and anxiety. While AGI could usher in an unprecedented increase in global living standards, it could also sharply reduce demand for human labor, fueling unemployment, social unrest, and conflict. Much of the AI debate in recent years has swung between these two extremes.
Strikingly, one of the most insightful analyses of the promise and peril of AGI came from OpenAI CEO Sam Altman. In a blog post originally published in 2023 and updated in 2025, Altman displayed a measure of philosophical skepticism uncommon among tech optimists. “We want AGI to empower humanity to maximally flourish in the universe,” he wrote, while recognizing that doing so would require “successfully navigating massive risks.”
To be sure, some skepticism is warranted when assessing the potential benefits of technological advances. Since the Enlightenment, humanity has increasingly rejected superstition and dogma in favor of the skeptical spirit of scientific inquiry, and, over time, nurtured the belief that scientific progress is inherently beneficial. While individual discoveries like the atomic bomb can be destructive, the thinking goes, science as a whole, which gives us a deeper understanding of nature, is as an unqualified force for good and, by extension, greater human welfare.
What is often overlooked, however, is that unquestioning faith in science can itself become a form of dogma. In a 2024 paper, Jörgen Weibull and I used game theory to explore this dynamic. When humans interact under conditions of uncertainty, where what is rational for one person depends on what is rational for others, a new scientific discovery can uncover situations that resemble the classic prisoner’s dilemma, in which individually rational behavior leads to outcomes that leave everyone worse off. The rise of AGI could prove to be one such event.
Altman’s skepticism is therefore well placed. As he notes, AGI “has the potential to give everyone incredible new capabilities,” but it could also lead to “drastic accidents and societal disruptions.” The challenge, then, is to minimize the risk of a “knowledge curse.” Given that the future remains uncertain, the best we can do is make informed guesses and adopt prudent preventive measures. Altman is right to argue that these challenges cannot be left solely to the private sector. Addressing them will require some degree of resource redistribution and concerted international cooperation.
Perhaps the most serious likely consequence of AGI is a decline in the demand for labour. Crucially, this does not mean people will have nothing to do; indeed, they may enjoy unprecedented amounts of leisure. But if labour is defined as it is in economics textbooks—as any activity undertaken for compensation—an AGI-powered world in which machines outperform humans in virtually every domain could render it obsolete.
Since the vast majority of adults depend on labour income to survive, such a transformation could deprive billions of people of their livelihoods. For this reason, Altman has advocated a universal basic income (UBI), which would guarantee every person a minimum standard of living.
Yet even that may not be sufficient. Beyond its impact on jobs and incomes, AGI could pave the way for an era of global authoritarianism. If control of these systems ends up highly concentrated, a tiny elite of mega-billionaires could wield unprecedented power over all of humanity. As Altman argues, preventing such an outcome requires the “benefits of, access to, and governance of AGI to be widely and fairly shared.”
As with UBI, broad access to AGI is only part of the solution. It is equally important to prevent extreme concentrations of wealth and power that could push societies past the point at which democracy gives way to authoritarianism. To this end, what may be needed is a universal basic share: a system that limits how much of the world’s wealth any individual or small group can hold.
This matters not only for the poor but also for many affluent people. In a world where a few thousand individuals control the levers of AGI, even today’s millionaires could find themselves among tomorrow’s underclasses.
Kaushik Basu, a former chief economist of the World Bank and chief economic adviser to the Government of India, is Professor of Economics at Cornell University and a non-resident senior fellow at the Brookings Institution.
Copyright: Project Syndicate, 2026.
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Facts Only

* Sam Altman, CEO of OpenAI, published a blog post in 2023 and updated it in 2025 regarding AGI.
* The potential benefits of AGI include an unprecedented increase in global living standards.
* AGI poses the risk of sharply reducing demand for human labor, fueling unemployment and social unrest.
* Control of AGI could lead to an era of global authoritarianism if systems are highly concentrated.
* Altman advocated for a universal basic income (UBI) as a response to potential labor displacement.
* The author suggested a "universal basic share" as a mechanism to limit wealth concentration stemming from AGI control.
* Unquestioning faith in science can become a form of dogma, as explored through game theory analysis involving uncertainty.
* Individuals acting rationally under uncertainty may lead to suboptimal collective outcomes (prisoner’s dilemma).

Executive Summary

The prospect of Artificial General Intelligence (AGI) presents both immense potential and significant risks for humanity. AGI could lead to unprecedented increases in global living standards but also poses the threat of sharply reducing demand for human labor, potentially causing mass unemployment and social unrest if benefits are not managed equitably. The text acknowledges that while AGI offers new capabilities, it also carries the risk of "drastic accidents and societal disruptions," suggesting a potential "knowledge curse." One major consequence discussed is the obsolescence of traditional labor definitions, which could deprive billions of people of their livelihoods. To mitigate these risks, the text advocates for solutions such as Universal Basic Income (UBI) and a "universal basic share" to ensure that the benefits of AGI are widely shared and prevent extreme wealth concentration. Furthermore, unchecked concentration of AGI control could lead to global authoritarianism if power remains highly centralized among a small elite.

Full Take

The narrative establishes a necessary tension between technological optimism and systemic risk, framing AGI not merely as an economic tool but as a potential catalyst for political and social collapse if governance mechanisms fail. The central pattern is the concern that efficiency gains will be captured by a hyper-concentrated elite, leading to a slide toward techno-authoritarianism, rather than democratized prosperity. This trajectory implicitly assumes that technological advancement is inherently neutral, ignoring historical patterns where new power structures are often wielded oppressively against the majority. The concept of the "universal basic share" is positioned as a direct countermeasure, shifting the focus from simply managing job loss to restructuring fundamental ownership and access to wealth generated by automated systems. A critical assumption driving this argument is that broad distribution of AGI's benefits (UBI/UBS) can successfully preempt the consolidation of power, which requires trusting that the mechanisms for resource redistribution will outpace the technological momentum toward centralization. The unspoken question is whether economic redistribution alone is sufficient to re-establish democratic agency when confronted by super-concentrated cognitive power.

Sentinel — Human

Confidence

This article provides a cohesive, well-supported analysis linking the risks of AGI to economic inequality and political authoritarianism, proposing systemic policy solutions rather than just technological predictions.

Signals Detected
low severity: Natural variance in sentence length and sophisticated, integrated argumentation flow.
low severity: Passionate engagement with complex ethical/economic concepts; consistent voice throughout the argument.
low severity: Argument flows logically, linking philosophy, economics, and policy without relying on verbatim talking points or vague attribution.
low severity: The core claims (e.g., the application of game theory to AGI risks; the linkage between wealth concentration and authoritarianism) are conceptually sophisticated and integrated, typical of expert-level analysis.
Human Indicators
The integration of disparate academic concepts (game theory, Enlightenment philosophy, economic definitions) into a unified political argument suggests deep intellectual synthesis that is characteristic of human scholarship.
The nuanced handling of the topic avoids simplistic moralizing and instead focuses on structural necessity, indicating an authorial perspective beyond generic LLM output.