Bernie Sanders has made a bold statement regarding artificial intelligence (AI), suggesting that the public should own half of it. This idea, though unlikely to become policy soon, raises an important question about how Americans can benefit from AI’s economic potential. As AI continues to generate substantial wealth, largely accumulating in the stock market, many Americans remain unsure of how they fit into this equation.
Recent surveys show a growing demand for corporate accountability in AI’s economic success. Some workers even propose an AI sovereign wealth fund to distribute benefits more equitably. Discussions about AI’s future also reveal varying public sentiments toward data centers, with a large percentage of Americans opposing them in their communities.
The discourse around AI wealth distribution explores several models. Jaron Lanier, a prominent computer scientist, proposes the “data dignity” model, where individuals are compensated for their data contributions to training AI systems. This suggestion aligns with beliefs that people’s input facilitates AI advancements, thereby granting them a stake in its profits.
Conversely, some researchers argue that calculating the exact economic value of each individual contribution to AI is challenging and perhaps counterproductive. They suggest creating a collective management system similar to music royalties, where organizations collect and distribute compensation based on overall data use.
At the policy level, new union-like structures are being suggested to empower individuals in their interactions with AI companies. By forming associations, people could gain more significant roles in AI governance, securing shares and decision-making power in the companies that leverage their data.
Another proposed approach involves existing regulatory frameworks. Strengthening corporate taxes and enforcing antitrust laws are considered viable methods to ensure fair wealth distribution. Instead of introducing untested mechanisms, increasing corporate tax rates and requiring companies to provide non-voting shares could create an immediate impact.
Dean Baker, an economist, positions these measures within a historical context, suggesting that past experiences with outsourcing and technology adoption can guide fairer economic practices. Discussions also include revisiting workweek structures, proposing a shorter workweek as a remedy for potential job displacement due to AI.
The dialogue about AI and its economic consequences is a critical conversation for policymakers and the public. As AI continues to develop, the need for equitable distribution of its benefits will remain a priority. Different models and ideas are being evaluated, ensuring that the economic gains from AI can potentially be shared more broadly and fairly across society.
You can read the original article here: [Original CNBC Article](https://www.cnbc.com/2026/07/26/how-can-ai-wealth-be-shared-with-all-americans.html)
