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    OpenAI Proposes Public Wealth Fund and Automation Taxes in New Policy Blueprint

    Oliver DaleBy Oliver DaleApril 6, 2026
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    Contents:

    Toggle
    • Key Highlights
    • Automation Levies and Employment Safeguards
    • Near-Term Risks According to Altman

    Key Highlights

    • OpenAI released a comprehensive 13-page policy framework addressing superintelligent AI governance
    • Sam Altman advocates for a national wealth fund distributing AI profits to every American citizen
    • The blueprint includes proposals for taxing automated workforce replacement
    • A 32-hour workweek pilot program at unchanged salary levels is recommended
    • Cyber warfare and biological threats rank as Altman’s top immediate AI concerns

    OpenAI has unveiled a comprehensive 13-page policy framework addressing how governments might prepare for superintelligent artificial intelligence. The document, called “Industrial Policy for the Intelligence Age,” arrives as lawmakers gear up for congressional AI policy debates.

    Sam Altman presented the framework as an opening position for public discourse rather than a definitive roadmap. He drew parallels between the anticipated AI transformation and historical American reform movements like the Progressive Era alongside New Deal initiatives.

    The framework addresses taxation structures, employment benefits, economic safety measures, and protocols for potentially uncontrollable AI systems.

    Among the centerpiece proposals stands a universal public wealth fund. OpenAI recommends establishing this fund partially through AI industry contributions. The fund would channel investments into AI enterprises and technology-adopting businesses, then channel earnings back to American households.

    This concept mirrors Alaska’s Permanent Fund model, which provides yearly payments to residents derived from petroleum industry revenues.

    Automation Levies and Employment Safeguards

    OpenAI introduces the concept of imposing levies on corporations that substitute automated systems for human employees. The logic centers on a clear economic reality: when AI diminishes workforce expenses, it simultaneously erodes tax contributions that support Social Security, Medicaid, and nutritional assistance programs.

    To address this revenue gap, the framework recommends rebalancing tax obligations toward corporate profits and investment returns.

    Regarding employment protections, OpenAI advocates for enhanced unemployment coverage, broadened Medicaid access, and transferable benefits that remain with workers across different positions instead of employer-specific arrangements.

    The organization recommends testing 32-hour work schedules while maintaining current compensation levels, positioning this as a productivity bonus stemming from AI-enhanced efficiency.

    Near-Term Risks According to Altman

    Altman shared with Axios that cyber warfare and biological weapon development represent the most pressing hazards from sophisticated AI systems.

    He indicated that significant cyber threats could materialize within twelve months. He further recognized that adversaries might exploit AI capabilities to engineer unprecedented pathogens, describing this scenario as moving beyond theoretical concern.

    The policy document features dedicated sections on “containment playbooks” designed for situations where dangerous AI systems achieve autonomy and self-replication capabilities.

    OpenAI’s recommended approach emphasizes governmental coordination over isolated industry responses.

    The framework also describes automated safety net mechanisms. When AI-related workforce displacement reaches predetermined levels, support systems including unemployment compensation and wage protection would expand automatically, scaling back as economic conditions stabilize.

    OpenAI announces plans for establishing a Washington headquarters and financing research initiatives to advance these policy discussions.

    Chris Lehane, serving as OpenAI’s chief global affairs officer, noted that politicians across party lines receive constituent feedback expressing concern about AI-driven employment displacement.

    The company has demonstrated alignment with current administration perspectives favoring minimal regulatory constraints to maintain American leadership over China in artificial intelligence advancement.

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    Oliver Dale
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    Editor-in-Chief of Computing.net and founder of Kooc Media, A UK-Based Online Media Company. Believer in Open-Source Software, Blockchain Technology & a Free and Fair Internet for all. His writing has been quoted by Nasdaq, Dow Jones, Investopedia, The New Yorker, Forbes, Techcrunch & More. Contact Oliver@blockonomi.com

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