American workers are terrified of losing their jobs to algorithms, and they want a piece of the corporate action before they get handed a pink slip.
An idea that sounded completely fringe just a year ago has officially crossed over into public consensus. A recent national survey of 1,690 U.S. adults conducted by research firm Verasight reveals a staggering statistic. Sixty-nine percent of Americans now support forcing artificial intelligence companies to transfer half of their stock into a public sovereign wealth fund.
Think about that number. Nearly seven in ten people want the government to seize half the equity of private AI giants. It's an aggressive stance. It shows exactly how deep the anxiety runs in the current economic climate.
People aren't just jealous of tech billionaires. They're watching the job market erode in real time. During the first half of 2026, tech companies accounted for nearly a third of all U.S. layoffs. The kicker is that these exact same firms are simultaneously pouring record-breaking capital into building out their AI infrastructure. Workers see the writing on the wall. They are being replaced by the tools they helped train, and they want a dividend check to balance the scales.
Understanding this shift requires looking past the surface-level politics. The conversation has completely changed. We aren't arguing about whether AI will take human jobs anymore. We're arguing about who pays the bill when it does.
The Seven Trillion Dollar Gamble
The political momentum behind this concept isn't happening in a vacuum. In June 2026, Senator Bernie Sanders introduced the American AI Sovereign Wealth Fund Act. The math behind the proposal is mind-boggling. Sanders pitches it as a roughly $7 trillion fund designed to ensure that regular citizens share in the historic economic gains generated by automation.
The underlying logic is straightforward. Big Tech didn't build these systems out of thin air. They used public data, publicly funded internet infrastructure, and decades of government-backed research to train their large language models. The argument says the public has already paid the foundational costs, so the public deserves a permanent seat at the table.
Senator Ed Markey has joined the fray too. His recent AI Accountability Agenda lists sharing AI wealth as one of its top priorities. This isn't just progressive grandstanding. It's a direct response to a fundamental imbalance in how wealth is created today.
When a traditional factory automated its assembly line in the 1980s, the economic pain was localized. A few hundred workers lost their jobs, and a town suffered. When an AI startup automates data analysis, customer support, or software engineering, the displacement is instant and global. The productivity numbers skyrocket, but the profits stay locked inside a tiny circle of venture capitalists and founders. A sovereign wealth fund would break that lock box.
Reading Between the Lines of the Tech Layoff Wave
To grasp why voters are suddenly this angry, you have to look at the sheer scale of corporate restructuring. Joseph Briggs, a senior global economist at Goldman Sachs, estimates that roughly 15 million workers could see their jobs displaced over a ten-year AI transition period. That is more than 9% of the entire U.S. labor force.
Briggs notes that these job losses might be temporary in the grand scheme of things, assuming the economy creates entirely new industries over the long haul. Try telling that to a 45-year-old middle manager who has to pay a mortgage next month. The transition period is where the suffering happens.
Benjamin Leff, the chief executive of Verasight, pointed out that the public views these funds as a direct mechanism to route the financial gains of the tech industry back into society. The sentiment makes complete sense when you look at how corporations are spending their cash.
Corporate leadership tells Wall Street that headcount reductions are about efficiency and getting lean. Then, five minutes later on the same earnings call, they announce a $20 billion increase in capital expenditures dedicated strictly to buying chips and data center space. Workers are smart. They can see that capital is actively replacing labor. When companies trade human paychecks for algorithmic processing power, a sovereign fund acts as a tax on that swap.
The Obvious Counterargument
Let's be completely fair here. Forcing a company to hand over 50% of its stock to the state is a radical economic intervention. Critics have plenty of ammunition, and their concerns aren't baseless.
If the U.S. government passes a law that strips half the equity from any domestic AI firm, capital will flee the country overnight. Investors won't back an enterprise if they know half of their upside will be nationalized. Silicon Valley would lose its dominance, and development would immediately shift offshore to regions with looser regulatory environments.
There's also a deep contradiction in how these funds are supposed to work. Organizations like the Windfall Trust have pointed out a massive structural tension. If a sovereign wealth fund's goal is to maximize financial returns for citizens, it needs its underlying assets to grow as fast as possible. That means cheering for the AI companies to maximize profits, scale aggressively, and displace even more workers. The fund becomes dependent on the very economic pain it's supposed to alleviate.
Furthermore, some industry leaders think the panic is completely overblown. Sam Altman has consistently argued that a permanent jobs apocalypse is highly unlikely. If the optimists are right, and AI ends up creating a massive net positive wave of new employment opportunities, a policy built entirely on mass displacement ends up solving a problem that never actually materialized.
We also have to talk about poll mechanics. The Verasight survey used the word "forcing" in its prompt, which usually draws a strong reaction. Pollsters know that asking people if they want free money from rich corporations always yields a high positive response. If you ask those same voters about the secondary effects, like lower retirement account returns or slowed economic growth, the support drops fast.
What Other Countries are Doing Right Now
While American politicians debate abstract wealth funds that have zero chance of passing the current Congress, other nations are reaching for much blunter regulatory tools.
Look at what's happening in China. Chinese courts have already started issuing rulings stating that replacing a human worker with an AI system does not constitute a lawful ground for termination. It's a massive legal shield for employees. There is absolutely no equivalent protection anywhere in the U.S. or the European Union legal frameworks.
European regulators are leaning heavily into strict compliance and risk-mitigation frameworks, trying to slow the rollout until they can understand the societal impacts. The U.S. remains the wild west of the group, allowing companies to fire at will while lawmakers write bills that serve mostly as thought experiments.
The shift in the Overton window is the real story here. The public debate has quietly evolved. We aren't stuck in a loop wondering if algorithms can do the work of humans. Voters have accepted that reality and are now focused entirely on the financial consequences.
Practical Next Steps for the Real World
If you're a worker or a business leader, you can't sit around waiting for a $7 trillion government fund to save or change your industry. Sanders's bill is dead on arrival in today's political gridlock. You need to take immediate, practical steps to protect your own interests.
If you are an employee looking at this shifting corporate environment, your primary goal must be deep technical insulation. Stop focusing on routine tasks that follow a predictable script. If your daily work can be described in a five-step manual, an AI model will be doing it by next year. Shift your focus toward high-context roles, internal stakeholder management, and complex problem-solving that requires human intuition and physical oversight.
If you are an executive or business founder, don't ignore this polling data as socialist daydreaming. The fact that nearly 70% of the public supports corporate equity nationalization means public resentment is at an all-time high. If you execute mass layoffs while bragging about your new AI capabilities, you are inviting severe regulatory blowback, union strikes, and brand damage. Build internal upskilling programs. Show your workforce and your customers that you're using automation to supercharge your people, not just to delete them from the payroll.
The tension between corporate productivity and public welfare isn't going away. Whether it's through an equity fund, tax changes, or stricter labor laws, the public will eventually demand its share of the automated future. The companies that survive the transition will be the ones that figure out how to share the wealth before the government forces them to do it.
