OpenAI outlines future AI economy with robot taxes and shorter workweeks

As policymakers continue to debate how to handle the economic consequences of highly advanced artificial intelligence, OpenAI has introduced a new set of policy ideas describing how work, wealth, and economic systems could evolve in what it calls the "intelligence age." The proposals combine elements typically associated with progressive economic thinking, such as public wealth funds and expanded social protections, with a broader market-driven, capitalist framework.

These recommendations serve as a forward-looking framework, offering insight into how the $852 billion company envisions the global economy's transformation as AI reshapes labour markets and production systems. The document is not legislation but rather a strategic outline intended to inform governments, investors, and the public about possible future directions.

The timing of the release comes amid growing concerns about AI's impact, including job displacement, wealth concentration, and the rapid expansion of data centre infrastructure. It also coincides with efforts by the administration of Donald Trump to develop a national AI strategy, as well as the approach of the midterm elections, suggesting an attempt to appeal across political lines. At the same time, there is a parallel political effort, as OpenAI president Greg Brockman — along with other tech leaders — has contributed significant funding to political groups supporting less restrictive AI regulation.

OpenAI's framework is built around three main objectives: ensuring that the economic benefits of AI are distributed more widely, creating safeguards to reduce large-scale risks, and maintaining broad access to AI tools so that economic influence does not become concentrated in the hands of a small number of entities.

One of the central ideas is to shift taxation away from labour and toward capital. While the company does not propose specific tax rates, it highlights the possibility that AI-driven economic growth could weaken traditional tax systems that fund programs like Social Security, Medicaid, SNAP, and housing support. As automation increases, corporate profits and capital gains may rise, while reliance on wages and payroll taxes may decline.

"As AI reshapes work and production, the composition of economic activity may shift — expanding corporate profits and capital gains while potentially reducing reliance on labour income and payroll taxes," the company noted.

To address this, OpenAI suggests increasing taxes on corporate profits, AI-generated returns, or high-level capital gains. It also raises the idea of a "robot tax," a concept previously proposed, which would require automated systems to pay taxes equal to the value of the human jobs they replace.

Another major proposal involves creating a Public Wealth Fund that would give citizens a shared stake in AI companies and infrastructure, even if they are not direct investors. Returns from such a fund could be distributed to the public, potentially allowing broader participation in the financial gains generated by AI technologies.

On the labour side, OpenAI suggests policies such as subsidising a four-day workweek without reducing pay, aligning with the idea that AI could improve work-life balance. The company also encourages businesses to increase retirement contributions, expand healthcare coverage, and provide support for childcare and eldercare. However, these recommendations place much of the responsibility on employers rather than governments, which raises questions about how individuals affected by job loss due to automation would be supported.

The framework also introduces the concept of portable benefits accounts, allowing workers to carry benefits like healthcare or retirement savings across jobs. While this approach could provide some flexibility, it still depends largely on employer or platform contributions and does not fully replace comprehensive government-backed safety systems.

Beyond economic concerns, OpenAI acknowledges broader risks associated with AI, including misuse by governments or malicious actors and the possibility that systems may operate beyond human control. To address these issues, it proposes measures such as containment strategies for high-risk AI, the creation of oversight organisations, and safeguards targeting areas like cybersecurity and biological threats.

Alongside these protections, the company emphasises the need for continued growth and infrastructure development. It calls for expanding electricity capacity to meet AI's energy demands and accelerating the construction of AI infrastructure through incentives such as subsidies, tax credits, or equity participation. OpenAI also suggests treating AI as a utility, encouraging collaboration between industry and government to ensure affordability and widespread access.

The release of this framework follows a similar policy outline to Anthropic's earlier in the year, reflecting growing attention among AI companies to shaping regulatory and economic discussions.

"We "are entering a new phase of economic and sociorganization that will fundamentally reshape work, knowledge, and production," O" enAI wrote, adding that a new industrial policy is needed to ensure that the benefits of superintelligent systems are broadly shared.

OpenAI was originally established as a nonprofit with the mission of ensuring AI benefits humanity as a whole. Its transition to a for-profit structure last year has prompted ongoing debate about whether that mission can coexist with obligations to investors and shareholders.

The company also pointed to past periods of economic transformation, such as the Industrial Age, when initiatives like the New Deal helped translate growth into wider opportunity and stability by establishing labour protections, safety standards, and social safety nets. "The transition to superintelligence will require an even more ambitious form of industrial policy," penAI, emphasising the need for coordinated action to shape an economic future where the benefits of advanced AI are shared across society.