OpenAI unlocked billions, but kept the real leverage over talent

OpenAI’s latest internal share sale didn’t just mint millionaires—it created 75 multimillionaires in one stroke. The $6.6 billion October 2025 transaction allowed over 600 employees and alumni to liquidate equity, with the top tier hitting a $30 million cap per person, triple the previous limit. For context, that’s more than the GDP of some small nations, and a stark reminder of the wealth gap within the AI industry’s most valuable company.

The sale’s structure suggests a deliberate attempt to balance liquidity with retention. By capping individual payouts, OpenAI likely aimed to prevent a mass exodus of talent while still rewarding loyalty. Yet, the sheer scale of the payouts—$30 million per person—hints at a tiered system favoring early employees, a common but contentious practice in tech.

The Decoder’s report notes that President Greg Brockman alone holds shares worth roughly $30 billion, a figure that dwarfs the collective $2.25 billion cashed out by the 75 top earners.

The source material also shows that this isn’t just about money—it’s about power. OpenAI’s shift from nonprofit to a for-profit entity with a capped-profit model was always going to create tension between its mission and its valuation. The share sale’s $30 million cap, while generous, also serves as a reminder of who holds the keys to the kingdom.

Early employees and executives like Brockman now wield financial influence that could rival some venture capital firms, raising questions about who gets to shape AI’s future.

The broader implications for the AI industry are equally significant. OpenAI’s valuation, now hovering around $852 billion, sets a benchmark that other AI startups will struggle to match. For employees at smaller firms, the message is clear: the real wealth isn’t in salaries or bonuses—it’s in equity. Yet, with liquidity events like this, the window for joining the next OpenAI may be closing. The sale also underscores the growing divide between AI’s haves and have-nots, a dynamic that could reshape talent flows and corporate loyalty in the years ahead.