OpenAI has raised questions about whether traditional economic measures such as wages and income will remain sufficient to understand prosperity in the age of artificial intelligence. In a recent announcement, the OpenAI Foundation committed an initial $250 million to grants, partnerships, and direct work aimed at building 'secure and abundant economic futures.' As part of this initiative, the organization seeks to better understand how AI is transforming economies and who benefits from the value it creates. The foundation also argued that new ways of measuring economic well-being may be necessary as AI becomes more widely adopted.
Current Measures May Miss AI's Impact
In a document outlining its vision, OpenAI stated that one of the key questions is not just what AI can do, but where the benefits generated by the technology ultimately flow. 'A central question is not only what AI can do, but where that value accrues: to workers through wages, to firms through margins, to consumers through lower prices and better services, to governments through the tax base, or to capital owners through rents,' the foundation said.
The organization noted that existing economic statistics may not fully capture the effects of AI. 'For example, if AI generates value as digital goods rather than higher wages, income statistics won't capture it,' the document explained. OpenAI also warned that if a smaller share of economic gains goes to workers, commonly used indicators such as GDP could become less useful in measuring people's welfare.
Focus on Access, Not Just Earnings
The foundation argued that future measurement systems should look beyond how much people earn. 'We need measurement that tracks what people can actually do and access, not just what they earn,' OpenAI said. According to the document, many of the systems used today to measure economic activity were designed for an earlier era and may not be suited to tracking AI-driven changes.
As part of the $250 million initiative, the OpenAI Foundation plans to support research, forecasting tools, and new infrastructure aimed at understanding AI's effects on jobs, wages, businesses, and broader economic systems. The organization said it expects to announce its first initiatives later this year.
