How AI wealth could be distributed to all Americans
A CNBC article discusses proposals to distribute AI wealth and the rising public opposition to AI development, including data centers. A recent poll shows 63% of Americans oppose data centers in their communities, exemplified by a proposed 257-acre campus in Portage County, Ohio, facing strong local criticism over perceived economic and environmental costs.
The article explores various proposals for distributing the wealth generated by artificial intelligence, reflecting a growing debate among economists, researchers, and policymakers on how Americans can benefit from AI's economic value. Senator Bernie Sanders' suggestion of public ownership of half of AI is highlighted as a radical idea, alongside discussions about an AI sovereign wealth fund and potential equity stakes for the government, such as OpenAI's unconfirmed offer of a 5% stake. Jeff Bezos also weighed in, suggesting eliminating federal income taxes for lower earners.
Public sentiment towards AI and related infrastructure, like data centers, is rapidly souring. An Emerson College poll found only 27% of Americans support data centers in their communities, with 63% opposed, a significant shift from a year prior. This opposition is palpable at the local level, exemplified by Will Hollingsworth, a Northeast Ohio resident, who publicly criticized a proposed 257-acre data center campus in Portage County. Hollingsworth expressed concern that "big tech companies" would benefit at the county's expense, citing potential environmental impacts such as draining reservoirs for "trillion-dollar companies."
Experts like computer scientist Jaron Lanier of Microsoft Research propose "data dignity," where individuals are compensated for their contributions to AI systems, while Raul Castro Fernandez of the University of Chicago argues for a collective-management system akin to music royalties. Conversely, researchers Nicholas Vincent and Brent Hecht from Simon Fraser and Northwestern Universities, respectively, question the feasibility and subjectivity of individual data valuation. Other solutions include new legal rights for people to shape AI development, stronger corporate taxes, antitrust enforcement, and labor protections like a reduced work week, as suggested by economist Dean Baker.