AI as a Public Utility: Democratizing Compute Access

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  Politics and Government on Sun, Oct 04th, 2026 by Fortune
      Locale: UNITED STATES

The Concept of AI as a Public Utility

At the heart of FDR's vision was the belief that essential services should not be left solely to the whims of private monopolies. Just as the Rural Electrification Act brought power to the forgotten corners of America, a Rooseveltian approach to AI would likely treat "compute" and foundational models as public utilities.

Currently, the capacity to train and run frontier AI models is concentrated within a handful of trillion-dollar corporations. An FDR-inspired regulatory regime would seek to break this stranglehold by establishing public compute reserves. This would involve federal investment in massive, state-owned data centers and hardware clusters, ensuring that academic researchers, small businesses, and public institutions have access to the underlying machinery of intelligence without being beholden to a few private providers.

Confronting the "Digital Royalists"

FDR famously targeted the "economic royalists" who held disproportionate power over the American financial system. In the modern era, this translates to the concentration of AI sovereignty within a small circle of tech giants.

Extrapolating from the New Deal's anti-trust and banking reforms, an AI-specific regulatory framework would likely move beyond simple fines. Instead, it would implement strict structural separations. This could include mandates that separate the providers of AI infrastructure (the clouds) from the providers of AI services (the applications), preventing a vertical monopoly where one company controls the hardware, the model, and the marketplace.

The "Forgotten Worker" and the Social Safety Net 2.0

Perhaps the most critical aspect of an FDR-style intervention would be the focus on the human cost of automation. The New Deal was designed to protect the "forgotten man," and the AI era has produced a new class of displaced workers across both blue-collar and white-collar sectors.

Rather than relying on the vague promise of "upskilling," a Rooseveltian strategy would likely implement systemic labor protections. This could manifest as a "Robot Tax" or a productivity levy on AI-integrated firms, with the revenue directed into a modernized social safety net. This would potentially include a guaranteed basic income or a federal job guarantee centered on human-centric roles—such as caregiving, environmental restoration, and community infrastructure—that AI cannot replicate.

Establishing the Federal AI Agency

To implement these changes, FDR would likely have established a centralized, powerful regulatory body—a Federal AI Agency (FAA). Unlike current fragmented oversight, this agency would possess the mandate to audit algorithms for bias, set safety standards for deployment, and manage the public compute reserves.

This agency would operate with a mandate of transparency and public interest, ensuring that the "black box" of AI development is opened to federal scrutiny. The goal would be to balance the drive for innovation with the necessity of public stability, ensuring that technological progress does not come at the expense of social cohesion.

By viewing AI not just as a product, but as a fundamental shift in the productive forces of society, the FDR model proposes a shift from passive regulation to active stewardship. The objective is a future where the benefits of artificial intelligence are democratized, and the risks are absorbed by the state rather than the individual citizen.