A Landmark OpenAI Share Sale and the Birth of 75 Multimillionaires
OpenAI’s October 2025 internal share sale has emerged as one of the most striking examples of tech wealth creation in the current AI boom. The company structured a secondary transaction that allowed more than 600 current and former workers to sell a combined USD 6.6 billion (approx. RM30.4 billion) of equity, without going public. Within that pool, about 75 employees reportedly became USD 30 million (approx. RM138.2 million) sellers each, turning years of paper gains into actual cash. Rather than issuing new stock, OpenAI let outside investors buy existing shares, giving employees liquidity while preserving the firm’s private status. The deal instantly elevated dozens of staff into the upper tier of tech wealth, underscoring how employee stock options at leading AI firms have become a primary path to multimillion-dollar outcomes. It also framed OpenAI as a case study in how private AI company valuations translate directly into personal fortunes.
How the Tender Worked: Liquidity Without an IPO
The October 2025 transaction was carefully engineered as a secondary tender, illustrating a new model for private AI company valuations and employee stock options. Rather than raising fresh capital, OpenAI facilitated a market where investors purchased shares from employees, giving workers partial liquidity while maintaining corporate control and scarcity of stock. Investor demand was strong enough that OpenAI reportedly lifted the cap on how much eligible staff could sell during the tender. This came after June 2024 policy changes that broadened participation rules and reduced bottlenecks in earlier liquidity programs. Employees who joined after the launch of ChatGPT faced a two-year holding period before selling, meaning the tender primarily rewarded those who had accumulated equity over longer tenures. The result was a controlled release valve: some insiders locked in large gains, while substantial unsold equity remained, keeping future upside on the table for both staff and investors.
Brockman’s Stake and What It Signals About AI Company Valuations
The wealth unlocked by OpenAI’s employee tender gained further context in May 2026, when Greg Brockman’s court testimony reportedly valued his stake in the company at roughly USD 30 billion (approx. RM138.2 billion). Importantly, he is said to have reached that personal valuation without investing his own money at the outset, highlighting the sheer leverage of early equity grants in high-growth AI firms. This disclosure, combined with the USD 6.6 billion (approx. RM30.4 billion) share sale, offers a rare, concrete window into how private markets currently price leading AI platforms. Investors like Gene Munster of Deepwater Asset Management argue that such numbers still leave substantial upside, describing OpenAI as a potential “multitrillion-dollar public company someday.” That perspective helps explain why investor appetite remained strong even after a large secondary sale: the market appears willing to pay generously today while still betting on long-term expansion in AI capabilities and revenue.
From Employee Stock Options to Tech Wealth Creation Engine
OpenAI’s repeated tenders illustrate how employee stock options are evolving from a distant promise into a structured engine for tech wealth creation. Earlier moves—including June 2024 rule changes and a November 2024 tender linked to a planned SoftBank purchase—laid the groundwork for a more regular liquidity path. Instead of waiting for a single IPO event, employees now see staged opportunities to convert equity into cash, aligning incentives while reducing pressure to exit the company. Caps on individual sales and eligibility rules help management balance retention with reward, ensuring that not all equity leaves employee hands at once. For the broader AI sector, the OpenAI share sale signals how competitive compensation is shifting: top talent increasingly expects not just high salaries but access to potentially transformative equity upside. This dynamic is likely to intensify the race among AI startups and incumbents to offer compelling ownership packages to attract and keep critical technical and product staff.
What OpenAI’s Tender Reveals About the Future of AI Compensation
The creation of roughly 75 multimillionaire employees in a single private transaction underlines how AI companies are redefining compensation and risk-sharing between founders, staff, and investors. OpenAI’s approach shows that secondary markets can serve as both a retention tool and a valuation signal: employees see tangible rewards for their contributions, while investors gain a benchmark for pricing scarce AI equity. As more AI firms adopt similar structures, staff expectations around liquidity, holding periods, and sale caps will likely harden into industry norms. This trend may also reshape career decisions, drawing senior engineers, researchers, and operators toward organizations that offer meaningful equity plus a credible path to partial cashouts before an IPO. In turn, such practices could deepen investor interest in private AI markets, as secondary tenders become recurring opportunities to buy into high-demand platforms whose public listings may still be years away.