OpenAI’s Altman releases blueprint for taxing, regulating artificial intelligence

OpenAI published a policy blueprint for artificial intelligence on Monday, recommending a revised social contract to prepare for the technology’s likely impact on the economy, workforce and overall state of humans.  

The 13-page document suggests superintelligence, an AI that will surpass the smartest humans, is on the horizon and argues the governing of AI must “keep people first” once this transition unfolds.

From a public wealth fund to four-day workweeks, OpenAI’s sweeping recommendations appear to be an attempt to get ahead of the growing fears around AI. Recent polling suggests a growing number of voters are concerned about how the technology could prompt job losses, raise electricity bills and change military operations.

OpenAI and its CEO and co-founder Sam Altman compared society’s current circumstances to the transition to the Industrial Age and the Progressive Era and New Deal that followed. 

“In normal times, the case for letting markets work on their own is strong. Historically, competition, entrepreneurship, and open economic participation have lifted living standards and expanded opportunity,” the document stated, adding, “But industrial policy can play an important role when market forces alone aren’t sufficient—when new technologies create opportunities and risks that existing institutions aren’t equipped to manage.”

The recommendations include the creation of a public wealth fund to give every citizen a “stake in AI-driven economy growth” regardless of their current investments in financial markets. The company also called for taxes “related to automated labor,” given AI could reduce the tax base funding programs like the Supplemental Nutrition Assistance Program, Social Security and Medicaid. 

Altman also suggested new ways for public input to make sure the technology isn’t just developed with the perspectives of “engineers or executives behind closed doors.” 

AI leaders have emphasized the technology’s ability to increase efficiency, and Altman recommended employers and unions use these “efficiency dividends” to press for four-day workweeks with no loss in pay. 

The company also suggested expanded job opportunities in human-centered job sectors like child care, health care and community services where AI may help these workers but not eliminate jobs. 

“As AI reshapes the labor market, these sectors can absorb transitioning workers if supported with investments in training, wages and job quality,” the blueprint stated, suggesting governments build training pipelines and incentivize employers to raise pay in these fields. 

Other recommendations included guardrails on how the government can use AI, the development of playbooks to “contain dangerous AI systems” and the expansion of AI to detect cyber and biological risks.

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