A proposal from Bernie Sanders that the public should own half of artificial intelligence might not be on the cards just yet, but it highlights an increasingly heated debate about how AI wealth is distributed.
Vacuuming Up the Wealth
AI’s financial clout is concentrated in just a few companies like Google, Amazon, and Microsoft, whose lucrative businesses in AI services and tools drive their massive profits. Some estimates suggest that these firms already own a significant chunk of AI intellectual property, making it harder for others to join the fray.
For instance, Google has a stranglehold on the market for AI training data, a crucial component in developing cutting-edge machine learning algorithms. This data is essentially the raw material that powers AI innovation, and Google’s control over it has allowed the company to create highly profitable services like Google Cloud AI.
The Case for Public Ownership
Sanders’ proposal for public ownership of AI is a radical solution to this problem. Under his plan, the government would acquire a 50% stake in the AI sector, allowing the public to benefit directly from these technologies.
This idea isn’t entirely new, as there are precedents for public ownership of key industries in the US. For example, the Tennessee Valley Authority, a public utility company, has been publicly owned since 1933.
Alternative Solutions
While Sanders’ plan may be a non-starter, other alternatives are gaining traction. Some experts advocate for creating a public AI fund, similar to the European Union’s Horizon 2020 program, to support innovative AI startups and developers.
Another approach is to establish a universal AI dividend, where a portion of AI profits are distributed directly to citizens. This idea has been floated by researchers and policymakers who argue that AI wealth should be redistributed to those who aren’t shareholders in big tech companies.
What this means: As AI continues to shape the economy, the debate about how its wealth is distributed will only intensify. It’s likely that we’ll see more proposals and policies aimed at spreading AI riches to a broader audience. While some ideas may be more far-fetched than others, the conversation around AI ownership and distribution is essential for creating a more equitable tech landscape.
