Money has a way of finding the people building tomorrow’s tools before the rest of us notice. That was true in the dotcom boom, in the smartphone era, and again in the social media land grab a decade later.
The AI boom looks different, at least so far.
For the last three years, almost every story about artificial intelligence wealth has pointed to the same handful of names. Jensen Huang at Nvidia (NVDA). Sam Altman at OpenAI. Mark Zuckerberg pouring tens of billions into Meta Platforms’ (META) compute build. The “AI rich” looked like the same old Silicon Valley aristocracy with bigger numbers attached. Chips, data centers, and large language models were the only visible paths to a three-comma fortune, and the on-ramps seemed closed to anyone who didn’t already own one.
But a fresh feature from Bloomberg complicates that picture. Over the past 12 months, 19 new billionaires have emerged from AI startups, and they are worth a combined $59.3 billion.
That’s a number worth sitting with.
How AI minted 19 new billionaires in a single year
The Bloomberg Billionaires Index added the names on May 19, with valuations dated to the May 15 market close. The new class joins 41 existing AI billionaires the index identified last year, bringing the total three-comma AI club to 60 members in roughly 24 months.
These new US startups have “minted 19 billionaires worth a combined $59.3 billion” over the past year, according to Bloomberg.
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The most visible entry came from Cerebras Systems’ Nasdaq debut. Shares of the AI chipmaker “soared about 68%” on May 14 in “the year’s biggest initial public offering,” giving the company a market value of roughly $67 billion at the open, reported Bloomberg. Co-founder and CEO Andrew Feldman’s stake is now worth $3.2 billion, and hardware technology chief Sean Lie’s is worth $1.7 billion, according to CNBC.
Cerebras ended its first week of trading worth about $60 billion, according to TechCrunch. That single IPO created two new billionaires in a single afternoon.
The pattern matters because Cerebras almost died. The chipmaker was “spending about $8 million a month” when it nearly ran out of cash in 2019, Andrew Feldman told TechCrunch. Seven years and one withdrawn IPO filing later, Feldman crossed the billion-dollar line in an afternoon. That gap, between near failure and three-comma wealth, says a lot about what the new AI class actually looks like.
Related: Cerebras stock faces sharp reality check after massive $5.5B IPO debut
Why these AI billionaires don’t look like the old guard
What struck me when I ran through the names is how thin the connection to “core” AI is. The newcomers are not building foundation models. They are building software that sits on top of the models, sold to industries that have been technologically conservative for decades.
The new class is applying AI “to other industries, such as law, healthcare, customer service and software development,” reported Bloomberg. That includes legal AI startup Harvey, which raised $200 million at an $11 billion valuation in March, Bloomberg reported, and developer-tools companies including Replit and Vercel.
The personal stories are stranger than the financials. The latest crop includes “a published poet,” a founder helping catalog associates of the late Jeffrey Epstein, “at least three” with no college degrees, and one who pleaded guilty to a felony, reported Bloomberg.
The unifying thread is not pedigree. It is the willingness to drop AI into a workflow that lawyers, doctors, or coders were already doing in PDFs and on legal pads.
There is a catch. OpenAI and Anthropic are “working on software that could eliminate the need for specialized applications from other companies, directly competing with many of the individuals featured here,” reported Bloomberg. The same model labs minting the first wave of AI wealth could undercut the second wave within a year.
What the new AI billionaire class means for your portfolio
Here is where my analysis lands, and why I think most retail investors are still looking in the wrong direction.
When I lined up the new names against the existing AI Index, two patterns jumped out. The first wave was infrastructure. The second wave is application. And capital is following the application layer faster than the public markets can keep up.
A few markers worth keeping on your radar:
- OpenAI closed a $122 billion funding round at an $852 billion valuation in March, the largest in Silicon Valley history, according to OpenAI.
- Forbes’ 2026 list added 45 new AI billionaires, with roughly 86 AI-related fortunes worth a combined $2.9 trillion, according to Oninvest.
- The Cerebras IPO raised $5.55 billion in proceeds, “the year’s biggest initial public offering,” reported Bloomberg.
For a retail investor, the implication is uncomfortable. The cleanest public ways to bet on AI today are still the obvious ones, Nvidia, Microsoft (MSFT), and Alphabet (GOOGL), plus the ETFs that hold them. But the wealth Bloomberg just documented is being created one or two layers above those names, inside private companies you cannot buy on the open market.
That is the structural reality of this boom. The mega-cap names you already own will likely keep doing the heavy lifting in your 401(k). The serious upside is sitting in companies that may not file an S-1 for another year or two.
Cerebras’ debut is a hint at what is coming. OpenAI is “preparing for an IPO as soon as the second half of 2026,” via Yahoo Finance, and Anthropic has been fielding investor offers at near-trillion-dollar marks. If even one of those goes public this year, the AI billionaire count will not just add a few new members. It will roughly double.
The takeaway from where I sit is simple. The first wave of AI made a small group of insiders extraordinarily rich. The second wave is making a less famous group rich. Watch what they are building, because the third wave will decide whether your AI exposure is paying for itself, or paying for someone else’s yacht.
Related: Cerebras IPO to land amid chipmaker mania on Wall Street
