Per the WSJ, OpenAI ran a tender offer last October. Over 600 current and former employees sold $6.6 billion in stock. Roughly 75 of them walked away with the full $30 million cap. The other 525 split the remaining $4.35 billion at an average of about $8.3 million each.
That’s a single wealth event. No IPO. No acquisition. Just a secondary sale.
Quick math on what this actually produced:
- At least 75 confirmed $30M cashouts from this one transaction
- Roughly 150 to 250 employees likely cleared $10M+ from this single tender (decamillionaire territory)
- Cumulative across multiple OpenAI tenders since 2021, the total population of employees with $10M+ in realized secondary cash is almost certainly 300 to 500+ people
And OpenAI hasn’t even IPO’d yet.
This Amount of Pre-IPO Liquidity Has Never Happened in Tech Before
Compare to past tech wealth events:
Google IPO’d in 2004 and made roughly 1,000 employees paper millionaires. They had to sit through lockups before any liquidity. Facebook IPO’d in 2012. Same pattern. Even the strongest B2B IPOs of the last decade (Snowflake, MongoDB, Datadog, HubSpot) produced a handful of decamillionaires after lockups expired, not hundreds.
The dot-com boom was even rougher. Hundreds of companies went public. Most employees couldn’t sell before lockups, and a meaningful percentage watched paper wealth evaporate when the bubble collapsed.
OpenAI is still private. Its employees are getting $30M wires before any IPO. There’s no real precedent for this in modern tech history.
100x in 7 Years
OpenAI first issued shares in 2019. The latest financing round valued the company at $852 billion. Per WSJ reporting, employees from that era have seen their equity appreciate more than 100x.
For comparison, the Nasdaq composite roughly tripled in the same window.
A staff engineer who joined OpenAI in 2019 with a market-rate package is now sitting on $50M to $200M+ in equity, with active liquidity windows to realize it. That’s not a paper number anymore. People are wiring it out, parking some in donor-advised funds, buying real estate, and angel-investing the rest.
What About Anthropic?
OpenAI isn’t the only AI lab minting decamillionaires. Anthropic completed its own tender in April 2026 at a $350B pre-money valuation, alongside a $30B Series G that brought post-money to $380B. The targeted size was $5-6B in employee secondaries.
It came in below that. Investors wanted to buy more shares than employees were willing to sell.
That’s the opposite signal from OpenAI. At OpenAI, ~$4B in investor demand went unfilled because so many employees took the cash. At Anthropic, employees largely held. Secondary markets are now pricing Anthropic at $500-595B implied, and the company is reportedly targeting an IPO as early as Q4 2026, with Goldman Sachs, JPMorgan, and Morgan Stanley in early underwriter discussions.
Rough decamillionaire math for Anthropic from this tender: probably 100 to 200 people. Smaller than OpenAI’s count, but the much bigger wealth event is still coming at IPO.
Two AI labs. Two different employee bets. Same direction. The largest concentrated wealth creation event in B2B history is happening across these companies right now, and it’s barely getting started.
What This Does to the B2B + AI Talent Market
The downstream effects are already visible everywhere in hiring:
1. Comp inflation has no ceiling. Meta reportedly offered $300M packages to some top AI researchers last year. That number sounds fake until you realize OpenAI’s top employees are sitting on equity worth multiples of that.
2. The 2-year cliff is the real retention lever. OpenAI required a 2-year wait before employees could participate in the tender. Anthropic and others have similar structures. This is the actual lock that drives retention now. Not vesting cliffs. Liquidity cliffs.
3. The $500K+ base salary floor. OpenAI lists technical roles with base salaries north of $500K, plus equity that’s functionally cash within 24 months. The compensation math for any B2B + AI startup trying to compete with them just broke.
4. Founder economics no longer dominate. Greg Brockman testified Monday that he holds about $30 billion in equity. Sam Altman claims no shares but is likely to receive a stake in the for-profit conversion. Being a non-founder operator at one of the right AI labs now beats founder economics at most B2B companies. Read that sentence twice. It changes everything about hiring.
What B2B + AI Founders Should Take From This
A few things to internalize if you’re building anything in B2B + AI right now:
Your top engineers have outside offers at $500K+ base, plus liquid equity. If you’re not in that range for AI/ML talent, you’re not in the market. Period.
Equity has to have a liquidity path, or it’s not “real” comp. The OpenAI model of secondary tenders every 12 to 18 months is now table stakes for serious AI talent. “We’ll IPO eventually” stopped being a compelling answer two years ago.
The wealth is concentrated. A few hundred people at OpenAI captured the bulk of these gains. The same pattern will hold at Anthropic, xAI, and a handful of others. Most B2B + AI startups will not produce wealth events at this scale, and recruits know it. Don’t oversell what you can’t deliver.
The flywheel is real. Hundreds of newly-minted decamillionaires in San Francisco are angel-investing, starting companies, and bidding up Bay Area real estate. The next wave of B2B + AI startups will be substantially funded by OpenAI alumni capital. That’s already happening in early-stage rounds across SF.
What Happens at the IPO
WSJ’s reporting captures one snapshot of one tender. The forward-looking question is what happens when OpenAI and Anthropic actually go public. Both are gearing up for what will likely be among the largest IPOs in history.
If 75 employees hit $30M in a single secondary sale at an $852B valuation, the IPO event at what could be a $1.5T+ valuation will produce something B2B has never seen: thousands of decamillionaires, hundreds of centimillionaires, and dozens of new billionaires from a single company.
Anthropic likely will do the same, and perhaps even IPO earlier.
The talent war for B2B + AI engineers is about to get more brutal, not less. Plan your comp, retention, and hiring strategy with that reality baked in.
