The initial deal behind the American AI boom seems to be: private investors would help finance it, taking on the risk; private companies would initially own the benefits of the breakthroughs, then distribute them to public markets later; and the government would help regulate the industry after the fact. In China, by contrast, the deal is that companies still have to compete for investment and customers, while the government provides the compute.
That bargain is showing signs of collapse — on the U.S. side. As costs soar, Chinese competitors gain ground and Washington increasingly considers AI to be a national-security asset, President Donald Trump is considering taking a governmental stake into AI companies. While both the populist left and the right, and the AI companies themselves, have lauded the proposal, one person isn’t cheering: Billionaire Michael Bloomberg.
In an opinion column published in Bloomberg Opinion on Monday, the media company’s founder attacked the proposal, arguing that it would turn Washington from an industry regulator into an investor with incentives for profit, leading to “cronyism.”
“Somewhere, Karl Marx is smiling,” Bloomberg wrote of the centrally planned economy on offer, while the propaganda possibilities would “make George Orwell blush.”
The former New York City mayor argued that Americans do not need their governments to own AI companies in order to share in the technology’s gains. For one, once they go public, they could just buy shares. But also, consumers and businesses already benefit from AI through fraud detection, medical research, bookkeeping and other helpful applications, he wrote, while the resulting economic growth could eventually generate more tax revenue for public services.
If AI companies are failing to contribute enough to the public, Bloomberg argued, Washington should fix the tax code to serve the public; not buy them. Ultimately, he predicted, federal shareholders will likely lead to corruption as the market will transform into a “smoke-filled backroom.”
The American AI industry has developed under a specific agreement where private investors finance the sector while private companies initially reap the rewards of technological advancements, with the government stepping in to regulate afterward. Conversely, in China, companies must compete for investments and customers, while the government provides the necessary computational resources.
However, this arrangement in the U.S. is showing signs of strain. As the costs of AI development escalate and Chinese competitors continue to advance, the U.S. government is reconsidering its role in the AI sector. There are discussions around the idea of the government taking equity stakes in AI companies, particularly as the Biden administration views AI as a crucial national security asset.
This proposal has garnered mixed reactions. While some on both the left and right view government investment in AI as a positive move, one notable critic is billionaire Michael Bloomberg, founder of Bloomberg LP. In a recent opinion piece, Bloomberg expressed his disapproval of the government’s potential transition from a regulatory role to that of an investor in AI companies. He warned that such a shift could foster cronyism, where profit motives overshadow public interest.
Bloomberg articulated concerns over the implications of a government stake in AI ventures, suggesting that it could resemble a centrally planned economy. He highlighted the risks of the government having a vested interest in profits, raising fears of corruption and the manipulation of the market for private gain. He referenced the historical context by stating that “somewhere, Karl Marx is smiling,” indicating that the proposed model might lead to a system contrary to free-market principles.
Moreover, Bloomberg argued that there are more effective means for the public to share in the benefits of AI. He suggested individuals could invest in AI companies directly once they go public, allowing citizens to own shares and benefit from the technology’s economic growth. He pointed out that AI already benefits consumers and businesses through various applications, including fraud detection, medical research, and accounting. This growth, he asserted, could ultimately lead to increased tax revenues that would support public services without the need for government ownership.
Bloomberg concluded that if AI companies are not contributing enough to society, the solution lies in reforming the tax code rather than having the government invest in these companies. He predicted that federal ownership of AI firms would likely lead to increased corruption and a market dominated by backdoor dealings.
In summary, the dynamic between private investment and government regulation in the American AI sector faces significant challenges amid rising costs and competition from China. As the U.S. government contemplates a more active role, including potential investments in AI companies, voices like Bloomberg’s advocate for maintaining a clear boundary between regulation and ownership to preserve market integrity and public interest.
