BlockBeats News, July 27th. As artificial intelligence rapidly drives wealth growth, the United States is embarking on a policy discussion regarding "How AI Profits Should Be Allocated." Multiple economists, technology researchers, and policymakers have proposed various solutions, including an Artificial Intelligence Sovereign Wealth Fund, public ownership, data contributor dividends, and reducing working hours.

U.S. Senator Bernie Sanders previously suggested that the public should own half of the AI industry. Although this proposal may be challenging to translate into policy in the short term, it reflects a core question: if AI will create trillions of dollars in new economic value in the future, should the general public share in those profits?

Currently, the wealth generated by artificial intelligence has quickly manifested in the market capitalization of tech companies. However, many American workers feel that while companies reap huge profits, communities and the public bear the costs of data center construction, energy consumption, and more. A recent survey showed that only 27% of Americans support the construction of data centers nearby, while 63% oppose it.

Various paths have been proposed in the market regarding AI profit distribution. For example, Microsoft Research scientist Jaron Lanier proposed the "Data Dignity" model, suggesting that compensating AI training data contributors could allow individuals to benefit from providing data and content.

Some researchers have recommended establishing a mechanism similar to music copyright royalties, where AI companies allocate a portion of profits to a shared pool based on the impact of data contributions on model performance. However, opponents argue that AI models rely on millions or even billions of data sources, making it incredibly challenging to assess the value of an individual's data accurately.

Another proposal is to establish a public participation AI governance mechanism. The RadicalxChange Foundation believes that through a new legal rights system, public entities could have the ability to acquire shares, compensation, and governance rights vis-à-vis AI companies. Currently, how AI wealth is distributed has become one of the key topics in U.S. technology policy and future elections. With the continuous expansion of the artificial intelligence industry, the debate over "who owns the value created by AI" may further intensify.