Last updated: August 13, 2026 · By Vishal Swami, Founder & Lead AI Reviewer, AISagely
AI Fortunes Are Reviving an Old Debate About Private Power because a small group of founders and early employees is getting rich at a pace the country hasn't seen since the original Gilded Age. This time the fortunes are built on code and compute instead of oil and steel. Forbes counted 86 AI billionaires worth a combined $2.9 trillion on its 2026 list. Forty-five of them crossed the billionaire line in the past year alone.
Short answer: AI fortunes are reviving the private-power debate because wealth is concentrating in a small group of founders and early employees faster than any past tech wave — 86 people worth $2.9 trillion combined, per Forbes' March 2026 count. With Anthropic and other labs now filing to go public, 69% of Americans say they'd back a public AI wealth fund instead of letting the gains stay this concentrated.
In my testing of AI tools, day to day, I live inside the free tiers and $20-a-month plans of this industry, not its cap tables. But the money at the top decides which of those tools get funded, get better, or get shut down after the hype fades. So I set the benchmarks aside for a few weeks and read the same filings and surveys that are fueling this debate instead. When I checked the widely-shared billionaire count against Forbes' own numbers, the pattern I found was less about any one person and more about a shift repeating itself on a faster clock than last time.
What's actually driving the debate
Two things happened at almost the same time. First, the wealth math got extreme. According to Forbes’ March 2026 count, there are now 86 AI billionaires worth a combined $2.9 trillion, and 45 of them — including Surge AI founder Edwin Chen, worth an estimated $18 billion after keeping more than 75% of his company by skipping traditional venture funding — became billionaires in just the past year. That's a new billionaire roughly once a week from a single technology category.
Second, the private wealth is about to become public and visible. Anthropic said in a June 1, 2026 announcement that it had confidentially submitted a draft registration statement on Form S-1 to the SEC. That gives the company, in its own words, "the option to go public after the SEC completes its review." An IPO doesn't just raise cash. It prices, in public, exactly how much of a company a handful of early employees and founders own. That transparency is part of what's reviving the old debate. Fortunes that were previously abstract become a specific, citable number.
The historical echo isn't subtle. A small number of AI founders now hold fortunes that, in inflation-adjusted terms, exceed those of Gilded Age industrialists like Carnegie and Rockefeller, according to Forbes' October 2025 analysis of the comparison. The original Gilded Age ended with antitrust suits, labor law, and a progressive income tax. Nobody knows yet how this one ends, but the public's patience looks shorter this time.
What you'll need to make sense of this
You don't need a policy position to follow this story — you need three numbers and about ten minutes. First, know roughly how concentrated the wealth is (the 86-billionaires, $2.9-trillion figure above is your baseline). Second, know how it was created — equity in a private company, not a salary or a stock-market bet available to everyone. Third, have a rough sense of what happened the last time a technology minted this much wealth this fast, so you're comparing this boom to a real precedent instead of a vague sense that "billionaires are bad." None of that requires a finance background. It requires reading past the headline number to where it came from.
Step-by-step: how to actually think through the AI private-power debate
1. Separate wealth creation from wealth concentration
These are two different claims that get collapsed into one argument. AI tools are genuinely creating value — Forbes' own reporting shows real products (coding agents, legal automation, a healthcare tool credited with more than 100 million consultations) behind several of the new fortunes. Whether that value should sit almost entirely with a few hundred people, versus being taxed, redistributed, or shared with the employees and users who helped generate it, is a separate question. Conflating the two makes the debate feel like it's anti-technology when it's really about distribution.
2. Check who actually holds the equity
Before forming an opinion on any one company, find out whether the wealth is concentrated in founders (like Chen's 75%+ stake in Surge AI), broad employee pools, or outside investors. The distribution changes the argument. A founder who never took VC money and kept the company small is a different case than a company where a handful of executives hold outsized equity while thousands of contractors doing the underlying labeling work hold none.
3. Weigh the philanthropy pitch against the accountability gap
Several newly minted AI billionaires are pledging large shares of their fortunes to causes like malaria prevention and other near-term human welfare work rather than distant speculative causes. That can genuinely help people faster than a government program can move. It also means a handful of individuals, not elected officials or affected communities, are deciding which problems get funded. Both things can be true at once — the money can do real good and still concentrate decision-making power in ways nobody voted for.
4. Run the historical comparison yourself
Don't just take my word, or anyone else's, on the Gilded Age comparison. Look at what changed last time: antitrust enforcement against Standard Oil, the Sherman Antitrust Act, the eventual progressive income tax. Then ask which of those levers is actually being discussed today for AI. As of mid-2026, the closest analog on the table is Senator Bernie Sanders' proposed AI sovereign wealth fund, not antitrust breakups.
5. Decide where you land on the wealth-fund idea
A national survey of 1,690 adults by research firm Verasight found 69% of Americans support forcing major AI companies to transfer half their stock into a public wealth fund modeled on Norway's $2 trillion-plus, oil-funded sovereign fund. Support only dropped to 64% when the idea was explicitly tied to Sanders, its Senate sponsor — a sign this isn't purely partisan. Whether you think that's a smart policy or a confiscatory one, it's worth having an actual answer instead of a gut reaction.
6. Watch what happens once an AI company actually goes public
Anthropic's confidential S-1 filing is a preview, not a resolution. Once a real prospectus becomes public, we'll see exact ownership percentages, exact dollar figures, and exact insider lockup terms for the first time. That single document will likely do more to sharpen this debate than any survey or op-ed has so far.
Example prompts you can copy
Use these with whatever AI assistant you already have open to research this yourself instead of taking any single article's word for it:
- Fact-check a wealth claim: "I read that AI has created 45 new billionaires in 2026 worth $2.9 trillion combined. Help me find the primary source for that figure and flag anything that looks like it's paraphrased from a secondary article instead of the original data."
- Run the historical comparison: "Compare, in inflation-adjusted dollars, the fortunes of today's largest AI company founders to Andrew Carnegie and John D. Rockefeller at their peak. Show your assumptions and flag where the comparison breaks down."
- Model the wealth-fund idea: "Explain how a Norway-style sovereign wealth fund works, and walk through what would have to be true for a US version funded by AI company equity to actually pay out to citizens."
- Stress-test my own opinion: "I currently think [your actual position on AI wealth concentration]. Give me the strongest good-faith argument against that position from someone who has thought about it seriously."
Common mistakes to avoid
The mistake I made early on was treating "AI is creating a lot of wealth" and "that wealth is too concentrated" as the same claim. They're really two separate arguments, and each needs its own evidence. Second is quoting a wealth or billionaire-count figure without checking the date. This space moves fast, and a number from six months ago can already be stale. Always check when a list or survey was actually published. Third is assuming the philanthropy angle settles the accountability question. A founder donating billions to malaria prevention is a genuinely good outcome, and it still doesn't answer who decided that was the priority. Fourth is reading the 69%-support survey as proof a wealth fund will happen. Polling and actual legislation are two very different things, and as of this writing, Sanders' bill hasn't passed.
The AI Gilded Age vs. the original Gilded Age
| Measure | Original Gilded Age (1870s–1890s) | Current AI wealth wave (2025–2026) |
|---|---|---|
| Primary industries | Railroads, oil, steel, banking | AI models, chips, data infrastructure, AI-native apps |
| New fortunes | Carnegie, Rockefeller, Vanderbilt, Morgan | 86 AI billionaires, 45 new in the past year (Forbes) |
| Relative wealth | Enormous for the era | Exceeds Carnegie/Rockefeller in inflation-adjusted terms (Forbes) |
| Public policy response | Sherman Antitrust Act, progressive income tax | Proposed AI sovereign wealth fund (not yet law) |
| Public sentiment tool | Muckraking journalism, labor strikes | National polling — 69% back a public wealth fund (Verasight) |
| Transparency trigger | Company breakups revealed structure | IPOs (e.g., Anthropic's June 2026 S-1 filing) will reveal ownership |
Tools that make this easier
You don't need special software to follow this story, but a few tools make the research faster if you want to track it yourself. My AI tool ratings page and AI tool reviews hub are useful if you're trying to figure out which of the companies behind these fortunes actually make tools worth your money, rather than just headlines worth your attention. If the wealth-fund and tax side of this debate interests you, my guide on getting good AI financial advice covers how to use AI to sanity-check policy and investment claims instead of taking them at face value. For the flip side of AI's economics — what all this spending actually costs the rest of us — my pieces on why AI is getting way too expensive and how AI data centers are driving up power bills cover the infrastructure bill behind these fortunes. If you want the bubble-risk counterargument to all this wealth creation, my piece on Apple and the AI bubble and my look at Larry Ellison’s AI bet both cover what happens to these fortunes if the boom slows. And for the research prompts above, my guide to using Claude covers getting it to push back on your assumptions instead of just agreeing with you, while my free AI tools roundup covers where to do all of this at no cost.
My take
The $2.9 trillion figure isn't inherently a scandal — a lot of it reflects real products people actually use, and I use several of them myself. What makes this different from an ordinary tech boom is the speed: 45 new billionaires in a single year is a pace even the dot-com and social-media waves didn't hit, and it's happening while the underlying companies are still private, which means almost none of it has been tested by public markets or public scrutiny yet. That's about to change. When Anthropic's numbers go from a confidential filing to a public prospectus, expect this debate to get louder, not quieter — and expect the 69% figure above to become a real policy fight rather than a poll result.
Frequently Asked Questions
How many AI billionaires are there in 2026, and how much are they worth?
Forbes counted 86 AI billionaires on its 2026 list, worth a combined $2.9 trillion. Forty-five of them became billionaires in the past year, a pace of wealth creation Forbes says is unprecedented for a single technology category.
Why is Anthropic's IPO filing relevant to this debate?
Anthropic confidentially submitted a draft S-1 registration to the SEC on June 1, 2026. An eventual public listing would, for the first time, put exact ownership percentages and dollar figures for a major AI lab's founders and early employees on the public record, which is what's likely to intensify the debate.
Do most Americans actually support an AI wealth fund?
Yes, according to one survey. A national poll of 1,690 adults by Verasight found 69% support requiring major AI companies to transfer half their stock into a public sovereign wealth fund, modeled loosely on Norway's system. Support was 64% when tied specifically to Senator Bernie Sanders' proposed legislation.
Is the Gilded Age comparison accurate, or just a headline hook?
It holds up on the wealth-concentration numbers — Forbes' October 2025 analysis found today's leading AI fortunes exceed Carnegie's and Rockefeller's in inflation-adjusted terms. It's less clear whether the policy response (antitrust, labor law, progressive taxation) will repeat, since none of that has passed yet.
What should I actually do with this information?
Nothing urgent — this isn't a call to action, it's a story worth tracking. Know the baseline numbers above, watch for Anthropic's actual prospectus when it becomes public, and treat any single figure (including the ones in this article) as something to re-check against its original source before you repeat it.