AI Regulation

Congress Urged to Establish Federal AI Access Fund to Prevent ‘Tokenocracy’

Concerns about growing disparities in artificial intelligence usage across the United States have prompted calls for urgent legislative action. Experts warn that without federal intervention to guarantee equal access to AI resources—particularly the “tokens” that power AI services—a new form of inequality, dubbed a “tokenocracy,” could take hold, concentrating power and opportunities among wealthy corporations and affluent communities.

What Happened

The director of the AI Innovation and Law Program at the University of Texas School of Law has outlined policy proposals urging Congress to establish a federally funded AI Access Fund. This fund would provide a guaranteed monthly allocation of AI tokens—units measuring usage of large language models and AI agents—to all Americans. The initiative was presented in public commentary emphasizing the urgent need to close the widening AI access gap that currently favors Fortune 500 companies and wealthy individuals. The proposal includes directing the U.S. Treasury to negotiate bulk purchase agreements with certified AI providers to deliver model-agnostic, interoperable AI access through a competitive market.

Key Facts

The AI access divide is currently expanding, with affluent firms and regions rapidly adopting AI tools while disadvantaged areas and small businesses lag behind. Notably, Microsoft reports that 80 percent of Fortune 500 companies already use AI agents extensively, leveraging large token budgets to enhance productivity. In contrast, many smaller businesses and low-income individuals typically only have limited, low-cost access to AI services, restricting their ability to compete. The proposed AI Access Fund would provide a federal floor of token access available to all, preventing monopolistic control by any single provider. Funding ideas include imposing revenue-based assessments on major frontier AI model providers or reallocating portions of existing Universal Service Fund commitments used for broadband access. The policy would mandate interoperability, allowing tokens to be redeemable across any certified AI provider, ensuring user choice and competition.

What This Means

The proposed federal AI Access Fund aims to democratize AI use, preventing economic and social inequalities from deepening through uneven technological access. By guaranteeing each citizen a baseline of AI resources, small businesses, individuals facing legal challenges, and underserved communities could harness AI’s power for practical benefits such as legal assistance, business planning, education, and healthcare. Without such intervention, disparities risk entrenching an AI-driven elite controlling justice outcomes, market competition, and public services. The policy recognizes AI tokens as a critical form of digital infrastructure, similar in importance to electricity or broadband, and emphasizes that equitable AI token distribution is essential to avoid leaving millions behind. This initiative highlights a shift toward viewing AI access as a public good that requires regulatory frameworks to ensure fairness and broad societal benefit.

Background

Historically, technological advancements such as rural electrification and broadband internet have faced significant access lags for less affluent and rural areas, causing persistent economic and social disparities. The ongoing “Digital Divide” vividly illustrated these divides during the COVID-19 pandemic, where communities without affordable high-speed internet experienced severe hardships. Lawmakers are urged not to repeat these mistakes with AI. Recent commentary parallels these precedents, highlighting how AI’s benefits will be unequally distributed unless federal policies actively promote widespread access.

What Remains Unclear

The proposal to create a federal AI token floor remains conceptual, lacking concrete legislative text or a formal bill number. Details such as the exact funding mechanisms, certification standards for AI providers, and the scale of token allocations have yet to be finalized or publicly introduced for debate. Furthermore, the interplay of this proposal with private sector initiatives like OpenAI CEO Sam Altman’s concept of “Universal Basic Compute” or Mark Zuckerberg’s auction-based distribution idea remains unclarified, leaving open questions about how such policies would coexist or compete.

What Comes Next

To advance this proposal, Congress would need to initiate legislative drafting, followed by hearings and stakeholder consultations to refine the AI Access Fund’s structure and enforcement mechanisms. Regulatory agencies and industry participants are likely to weigh in during this process, which could involve complex negotiations on funding sources and certification processes. Public advocacy and expert commentary will remain crucial to shape policymaker priorities, emphasizing the urgency to prevent the consolidation of AI benefits into the hands of a few.

Sources

This article is based on reporting and publicly available information from the following sources:

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Oliver Bennett
About the editor

Oliver Bennett

Oliver Bennett Role: AI Regulation Editor Oliver Bennett covers artificial intelligence regulation, digital policy, privacy rules, and government oversight of AI systems. His work focuses on verified legal updates, regulator statements, official documents, and the impact of AI rules on companies, users, and public institutions.

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