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While often proposed to manage safety, a centralized, government-led AGI project is highly dangerous from a power concentration perspective. It removes checks and balances by consolidating immense capability within a single entity, whether it's one country or one company collaborating with the government.

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The principle that governments must hold a monopoly on overwhelming force should extend to superintelligence. AI at that level has the power to disorient political systems and financial markets, making its private control untenable. The state cannot be secondary to any private entity in this domain.

While mitigating catastrophic AI risks is critical, the argument for safety can be used to justify placing powerful AI exclusively in the hands of a few actors. This centralization, intended to prevent misuse, simultaneously creates the monopolistic conditions for the Intelligence Curse to take hold.

AI provides a structural advantage to those in power by automating government systems. This allows leaders to bypass the traditional unwieldiness of human bureaucracy, making it trivial for an executive to change AI parameters and instantly exert their will across all levels of government, thereby concentrating power.

A ban on superintelligence is self-defeating because enforcement would require a sanctioned, global government body to build the very technology it prohibits in order to "prove it's safe." This paradoxically creates a state-controlled monopoly on the most powerful technology ever conceived, posing a greater risk than a competitive landscape.

AI tools could give the president granular, real-time control over the entire federal bureaucracy. This concept of a 'unitary artificial executive' threatens to centralize immense power, enabling a president to override the independent functions and expertise of civil servants at scale.

Analyst Dean Ball warns against nationalizing advanced AI. He draws a parallel to nuclear technology, where government control secured the weapon but severely hampered the development of commercial nuclear energy. To realize AI's full economic and consumer benefits, a competitive private sector ecosystem is essential.

While a fast AI takeoff accelerates some risks, slower, more gradual AI progress still enables dangerous power concentration. Scenarios like a head of state subverting government AIs for personal loyalty or gradual economic disenfranchisement do not depend on a single company achieving a sudden, massive capability lead.

The fundamental challenge of creating safe AGI is not about specific failure modes but about grappling with the immense power such a system will wield. The difficulty in truly imagining and 'feeling' this future power is a major obstacle for researchers and the public, hindering proactive safety measures. The core problem is simply 'the power.'

Meredith Whittaker argues the biggest AI threat is not a sci-fi apocalypse, but the consolidation of power. AI's core requirements—massive data, computing infrastructure, and distribution channels—are controlled by a handful of established tech giants, further entrenching their dominance.

While making powerful AI open-source creates risks from rogue actors, it is preferable to centralized control by a single entity. Widespread access acts as a deterrent based on mutually assured destruction, preventing any one group from using AI as a tool for absolute power.