OpenAI on the Eve of IPO: 600 Employees Cash Out $6.6 Billion as Valuation Soars 70% in a Year

In the traditional Silicon Valley narrative, cashing out wealth typically waits for the Nasdaq bell to ring. But the AI era is rewriting the script entirely. According to market sources, last October, roughly 600 OpenAI employees collectively cashed out $6.6 billion through a tender offer of existing shares, pushing the not-yet-public company's valuation to $500 billion. Today, OpenAI's valuation has soared to $852 billion, and the company has already confidentially filed for an IPO. The core group of employees has already pocketed generational wealth before the bell ever rang.

The distribution mechanics of this staggering cash-out are equally noteworthy. OpenAI required employees to hold shares for at least two years before participating in the sale. This seemingly routine clause drew a wealth dividing line within the company. Early employees who joined before ChatGPT exploded in popularity in November 2022 held options with extremely low strike prices. At valuations of $500 billion or even $852 billion, those options became pure wealth-creation instruments. Meanwhile, employees hired after ChatGPT's launch—regardless of how heavy their R&D responsibilities or how impressive their credentials—were completely excluded from this cash-out window.

Specifically, about 75 employees hit the $30 million sale cap directly, while the remaining 525 averaged approximately $8.3 million each. In Silicon Valley's talent wars, options have long been the core weapon for retaining top talent. When early employees have already cashed out and achieved financial freedom, later-joining researchers face an extremely high company valuation—meaning compressed future upside—and inevitably experience a psychological gap.

To placate employees who missed the cash-out window, OpenAI has had to pay extremely high cash compensation on top of regular salaries, or promise preferential treatment in future tender offers. But cash compensation can never match the leverage effect of options.

The Dual Drivers: Poaching by Giants and Excess Liquidity

In traditional capital market logic, founders typically do everything possible to prevent employees from cashing out en masse before an IPO—if the core team is already financially free, who would still be willing to sustain high-intensity commitment? OpenAI broke this convention, driven by two forces working in tandem.

On one side is aggressive poaching by competitors. Starting in 2024, companies like Meta launched an almost frenzied battle for AI talent, even offering compensation packages worth hundreds of millions of dollars. If OpenAI only offered options, the core team would inevitably be hollowed out over time given the intense R&D pressure and years-long wait for an IPO. Allowing employees to feel tangible returns early through secondary share transfers became the most effective retention tool.

On the other side is excess liquidity in the primary market. Top-tier capital such as Thrive Capital and SoftBank has enormous amounts of money seeking to buy into OpenAI's stake. Since the company doesn't yet need to raise capital from public markets via an IPO, transferring existing shareholder stakes to these investors satisfies both the capital's desire to get in and employees' liquidity needs. An "internal IPO" conducted in the relatively lightly regulated private market completed the wealth distribution ahead of schedule.

The Tug-of-War Between Valuation Surge and Profitability

From $500 billion to $852 billion, OpenAI's valuation has risen more than 70% in under a year. If it goes public at an $852 billion valuation, it would immediately rank among the largest US-listed companies by market cap. Yet supporting this trillion-dollar dream are enormous computing costs and a business model that has yet to fully close the loop.

The AI industry is currently undergoing a subtle shift in mindset. Microsoft and Meta have begun adjusting their capital expenditure pace, and market skepticism about AI infrastructure "burning cash without making money" is growing louder. More notably, OpenAI's competitor Anthropic saw its valuation expectations trimmed from $2 trillion to $1.5 trillion at its investor day.

At its investor briefing in San Francisco on October 14, Anthropic disclosed third-quarter revenue of $16.8 billion, up approximately 45% from the previous quarter. That growth rate represents a marked slowdown from the more than 140% quarter-over-quarter increase in Q2. Some investors believe its IPO valuation should be revised down from the previously discussed roughly $2 trillion to below $1.5 trillion.

OpenAI's own revenue figures have also shown some confusion. As of the end of September, OpenAI's annualized revenue was approximately $50 billion, up about 134% from the end of last year, but below the roughly $70 billion that had been circulating earlier. This gap has created uncertainty in the market's assessment of its actual growth scale.

Concerns about investment recovery stemming from AI companies' growth falling short of expectations are already manifesting in financial markets. On October 15 in US equities, Nvidia fell 1.84%, Dell Technologies dropped 6.8%, and Hewlett Packard Enterprise (HPE) slid 7.1%. Market analysts suggest actual corporate AI spending is below expectations, and server makers' revenue growth is driven more by memory price increases being passed through to selling prices rather than a substantive expansion in AI demand.

Long-duration data center bonds are also under pressure. Bonds issued by Meta to finance construction of its "Hyperion" AI data center were trading above par in early July but had fallen to roughly 91% of face value by October 15. Market research firm Gartner warned that if the current pace of investment continues, more than $3.5 trillion in AI infrastructure investment could face impairment risk by 2030.

The Wealth Philosophy Before the IPO Bell Rings

At this juncture, OpenAI's confidential IPO filing serves both to secure larger capital ammunition and to demonstrate its confidence as the industry leader. But for public market investors, the most dramatic reality is this: while retail investors are still dreaming of buying OpenAI stock, those 600 employees who best understand the company's core fundamentals have already taken $6.6 billion in real cash at a $500 billion valuation.

Of course, there's no need to fault these employees. In Silicon Valley, betting one's youth and talent on an extremely high-pressure startup, exchanging options for the future, is itself an enormously risky gamble. They won, and cashing out is a well-deserved reward.

But this may be a metaphor for the era. Paper wealth must wait for the bell to ring; cash does not. In this AI age of extreme concentration of computing power and extreme abundance of capital, the traditional rules of the game are breaking down. The smartest minds can not only build superintelligence with code—they can also, before the bell rings, skillfully execute the most efficient monetization of their own value.

When the IPO bell finally sounds, the celebration may still be grand. But for those 600 people, the real bounty has already been secured. What remains is just a string of numbers on a screen.