OpenAI's Largest Internal Wealth Creation: 600 People Cash Out a Total of $6.6 Billion, 75 Take Home the Maximum $30 Million Each

链捕手Опубликовано 2026-05-11Обновлено 2026-05-11

Введение

A Wall Street Journal report reveals OpenAI's unprecedented pre-IPO wealth creation. In a single employee stock sale last October, over 600 current and former employees sold shares, collectively cashing out approximately $6.6 billion. Due to high investor demand, the company tripled the individual sale cap to $30 million, with about 75 employees selling the maximum amount. This event represents the largest such transaction in tech industry history for a private company. OpenAI's valuation was $500 billion for this tender offer. Employees with over two years of tenure were eligible, allowing many post-ChatGPT hires their first liquidity event. The company's stock has reportedly grown over 100-fold in seven years. Following a restructuring, employees collectively hold about 26% of OpenAI. The scale of executive wealth is also staggering. In court testimony related to Elon Musk's lawsuit, President and co-founder Greg Brockman confirmed his OpenAI stake is worth around $30 billion. Analysis indicates about 165 current and former employees hold a combined ~$164.9 billion in equity, averaging nearly $1 billion per person in paper wealth. OpenAI's per-employee stock-based compensation is estimated to be 34 times the average of major tech firms before their IPOs. OpenAI continues its rapid ascent, closing a $122 billion funding round at an $852 billion valuation in March. With monthly revenue hitting $2 billion, over 900 million weekly ChatGPT users, and plans for a potential tri...

Author: Claude, Deep Chao TechFlow

Deep Chao Introduction: The Wall Street Journal has revealed the scale of wealth creation inside OpenAI. In an employee stock sale last October, the company raised the individual cash-out cap from $10 million to $30 million. Over 600 current and former employees participated, cashing out a total of $6.6 billion, with about 75 individuals reaching the full $30 million limit each. President Brockman confirmed in court this week that his stake is worth approximately $30 billion. Never in Silicon Valley's history has a pre-IPO company created such a dense concentration of multi-millionaires.

Image source: Wall Street Journal

In the past Silicon Valley, the usual path for ordinary employees to become rich was one: wait for the company to go public. OpenAI is rewriting that rule.

According to The Wall Street Journal, in an internal stock transaction completed last October, OpenAI allowed employees to sell up to $30 million worth of shares each. Over 600 current and former employees participated, cashing out a total of approximately $6.6 billion. Insiders revealed that about 75 of them reached the full $30 million limit each. This is the largest single employee stock sale event in the tech industry to date.

Cash-Out Cap Tripled, External Investor Demand Drove Up Limits

OpenAI originally set a single cash-out cap for employees at $10 million. However, due to external investor demand far exceeding expectations, the company tripled the limit to $30 million last autumn.

The transaction was completed at a valuation of $500 billion, with investors including Thrive Capital, SoftBank, Dragoneer Investment Group, Abu Dhabi MGX, and T. Rowe Price. According to a previous CNBC report, OpenAI initially planned a sale size of about $6 billion, which later expanded to $10.3 billion, but the final transaction settled at about $6.6 billion. Internally, the lower participation rate was interpreted as a vote of confidence by employees in the long-term prospects.

Under OpenAI's rules, employees can sell shares after being with the company for two years. This means many employees who joined only after ChatGPT's launch in late 2022 had their first opportunity to cash out options in this round. OpenAI's stock value has grown over 100 times in the past seven years.

Brockman Confirms $30 Billion Stake in Court, Musk's Lawyer Persistently Questions

The scale of wealth in the hands of executives is even more staggering. According to NBC, OpenAI President and co-founder Greg Brockman confirmed during his court testimony on May 4th that his current OpenAI equity is worth approximately $30 billion.

This figure was disclosed on the fourth day of the Musk v. OpenAI trial. Musk's lawyer, Steven Molo, repeatedly mentioned this number during over two hours of questioning, pressing Brockman on why he had not fulfilled a promised $100,000 donation while sitting on a $30 billion fortune. According to CNBC, Brockman admitted, "It is true, I did not ultimately make the donation."

According to Fortune, Musk's legal team also revealed multi-layered financial connections between Brockman and CEO Sam Altman: Altman provided Brockman with interests worth about $10 million in his family office as early as 2017; Brockman also holds stakes in AI chip startup Cerebras and fusion company Helion Energy. OpenAI had discussed acquiring Cerebras, and Altman has invested hundreds of millions in Helion. Musk's side argues these cross-holdings compromised Brockman's independence as a fiduciary.

Employees Hold 26% Stake, Average Paper Wealth Exceeds Total Returns of Most VC Funds

Following a company restructuring completed last October, OpenAI employees collectively hold about 26% of the company's equity.

According to StartupHub's analysis, approximately 165 current and former employees collectively hold equity worth about $164.9 billion, averaging about $1 billion in paper wealth per person, exceeding the total lifetime returns of most venture capital funds.

According to an analysis by The Wall Street Journal and data firm Equilar, OpenAI's per capita stock compensation in 2025 was about $1.5 million, which is over 7 times that of Google's in the year before its 2004 IPO, and 34 times the average of 18 large tech companies in the year before their IPOs over the past 25 years.

The company's equity incentive spending accounts for nearly half of its projected revenue, far exceeding peers like Palantir, Meta, and Salesforce.

$852 Billion Valuation, Trillion-Dollar IPO Ahead, Wealth Creation Machine Far From Stopping

OpenAI completed a $122 billion financing round at an $852 billion valuation on March 31st this year, setting a new record for the largest single private round in Silicon Valley history. Amazon led the investment with $50 billion, while Nvidia and SoftBank each invested $30 billion. The company currently has a monthly revenue of $2 billion, with ChatGPT's weekly active users exceeding 900 million and paid subscribers over 50 million.

According to multiple media reports, OpenAI is preparing to launch an IPO in the fourth quarter of 2026, with a target valuation potentially reaching $1 trillion. If successful, this would become one of the largest tech IPOs in history. CFO Sarah Friar previously stated at Davos that the company plans to allocate a portion of the IPO shares to retail investors.

Связанные с этим вопросы

QWhat was the total amount cashed out by OpenAI employees and former employees in the reported stock sale?

AOver 600 current and former employees cashed out a total of approximately $6.6 billion in the reported secondary stock sale.

QTo what amount did OpenAI raise the per-employee cap for the stock sale, and why?

AOpenAI raised the per-employee cap from $10 million to $30 million for the sale due to exceptionally high demand from external investors.

QWhat did OpenAI co-founder Greg Brockman reveal about his OpenAI holdings in court?

ADuring a court testimony, Greg Brockman confirmed that the value of his OpenAI equity holdings is approximately $30 billion.

QWhat is the reported approximate total valuation of OpenAI following its March 2025 funding round?

AFollowing its March 2025 funding round, OpenAI's valuation reached approximately $852 billion.

QWhat is the reported target timeline for OpenAI's potential IPO, and what valuation might it aim for?

AOpenAI is reportedly preparing for a potential IPO in the fourth quarter of 2026, with a target valuation that could reach $1 trillion.

Похожее

PANews Column Registration and Article Submission Guide

"PANews Column Registration and Submission Guide" provides instructions for users to register as columnists and publish articles on the PANews platform. Key application requirements are emphasized: content should focus on in-depth analysis within Crypto, Web3, blockchain, data, and viewpoints. Content primarily for brand/product introductions will not be approved, and heavily AI-generated content will be rejected. Promotional (PR/soft) content is directed to the business channel. **Registration Process:** * **Web:** Go to the official website footer, click "Apply for Column," and register with a phone number or email (login via verification code, no password). Fill in the column name, description, upload an avatar, and submit links to previously published work. * **Mobile:** Navigate to "My" -> "Contribute & Create" and complete the form. **Article Submission Tutorial:** 1. Log in to the PANews website. 2. Access the "Creator Center" from your personal homepage. 3. Use the editor to create and publish articles. **Video Upload:** The platform supports embedding videos from third-party sites (e.g., Bilibili). Copy the embed code from the source video, use the editor's "Insert/Edit media" button, paste the code under the "Embed" tab, and adjust the display size (recommended: width 100%, height 560px). **PANews Skills (AI Agent Tool):** PANews offers an official AI Agent skill set called PANews Skills, enabling AI tools to query platform content, track trends, and publish column articles directly. It includes three main skills: 1. `panews`: For tracking daily must-read lists, popular articles, and funding news. 2. `panews-creator`: For managing columns, publishing articles, and uploading images. 3. `panews-web-viewer`: For parsing PANews webpages into Markdown. These skills are compatible with various AI Agent tools (OpenClaw, Cursor, Claude Code, ChatGPT, Gemini, etc.). To use the `panews-creator` skill, users must obtain a specific authentication value from the PANews website after logging into their columnist account.

marsbit5 мин. назад

PANews Column Registration and Article Submission Guide

marsbit5 мин. назад

I Built Myself an Investment Workbench Using AI

For the past two weeks, I've been immersed in Vibe Coding—using AI to write code from natural language descriptions. This process has enabled me to quickly build functional tools that address long-standing personal ideas. Previously, I had many concepts but found execution too cumbersome. Key ideas included a unified dashboard for assets across US stocks, Crypto, HK stocks, and A-shares; a real-time alert system for price movements; an investment map visualizing sector relationships; and a tool to correlate prediction market bets with news and market data. Traditional development hurdles meant these often remained unrealized. Using AI (Codex, Claude Code, and DeepSeek API), I built four initial tools: 1. A **Cross-Market Asset Dashboard** showing total assets, daily P&L, and holdings by market, with added features for alerts and sector mapping. It's deployed locally for privacy. 2. A **Prediction Market (PM) Monitor** tracking bets on events (e.g., company valuations) and correlating probability shifts with news and market movements. I categorize bets by conviction to filter noise. 3. A **Simple Operations Backend** for managing my writing workflow (topics, progress, publishing). It's cloud-deployed for mobile access. 4. A **One-Click Formatting Tool** that automates converting drafts into various platform-specific formats, saving manual effort. While these tools are basic, they represent a significant shift: AI lowers the barrier to creating personalized systems. I believe individual investors can now feasibly build core systems for: * **Asset Observation** (tracking holdings and changes) * **Signal Monitoring** (watching for key market shifts) * **Sector Mapping** (understanding network relationships within a sector) * **Performance Review** (documenting rationale and outcomes) The power of Vibe Coding is its fast feedback loop. Ideas can be implemented, tested, and iterated on rapidly, turning "want-to-do" into "done." This marks the start of my new phase, where I'll share investment thoughts, tool tests, on-chain operations, and educational Web3 content.

marsbit21 мин. назад

I Built Myself an Investment Workbench Using AI

marsbit21 мин. назад

After Tokenization of Assets, How to Exit?

Title: How to Exit After Asset Tokenization? Author: Symbiotic Compiled by: Hu Tao, ChainCatcher Summary: Tokenization addresses how assets go on-chain but largely leaves the redemption question unresolved. While tokenized assets can settle instantly, the underlying redemption for assets like treasuries, private credit, or real estate can take from T+1 to 180 days. This gap hinders DeFi adoption of Real World Assets (RWAs). Three emerging models aim to provide instant exit liquidity, differing primarily in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single entity (like Sky) provides immediate liquidity from its balance sheet, acting as a bridge during the settlement period. It offers simplicity and deep initial liquidity but is constrained by a single entity's capacity and risk appetite. 2. **Asset-Specific Vault Model (e.g., Upshift Clear):** Independent liquidity providers fund dedicated vaults for each supported asset, earning fees. It decentralizes capital sources but isolates liquidity and capital per asset, leading to potential fragmentation. 3. **Shared Liquidity Layer Model (e.g., Symbiotic Liquid Lane):** A shared capital pool supports multiple RWA types simultaneously. Funds remain productive between redemptions (e.g., earning yield in lending markets). Exits are settled via a competitive RFQ market. This model aims for higher capital efficiency, scalability across assets, and serves longer-duration assets like private credit. Key differentiators are: 1) Source of capital and risk bearer, 2) Redemption pricing mechanism, 3) Capital efficiency, 4) Scalability to new asset types, and 5) Composability. The shared liquidity layer model represents a move from piecemeal solutions toward scalable infrastructure, enabling T+0 exits by pooling capital, maintaining yield, and using competitive pricing, thus enhancing RWA utility in DeFi.

marsbit34 мин. назад

After Tokenization of Assets, How to Exit?

marsbit34 мин. назад

After Tokenizing Assets, How to Exit?

After tokenization, a key unresolved issue is providing holders with a reliable exit mechanism, as underlying asset settlement (taking days to months) lags far behind on-chain token settlement. Three primary models for instant liquidity have emerged, differing in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single, well-capitalized entity (like Sky) provides immediate liquidity from its own reserves. This offers simplicity and deep initial liquidity but is constrained by that single balance sheet's capacity and risk appetite, limiting scalability. 2. **Dedicated Vault Model (e.g., Upshift Clear):** Independent liquidity providers (LPs) fund separate vaults for each supported asset. This decentralizes capital sources but isolates liquidity and capital, which becomes inefficient as the number of tokenized assets grows. 3. **Shared Liquidity Layer Model (Symbiotic Liquid Lane):** Independent capital providers fund shared vaults that can support multiple tokenized assets simultaneously. Capital remains productive between redemptions (e.g., earning yield in DeFi markets). Exits are settled via a competitive RFQ market where market makers bid. The article argues that the shared layer model offers superior capital efficiency and scalability. It transforms exit liquidity from an asset-specific patch into shared market infrastructure, allowing liquidity capacity to grow with overall market participation rather than being fragmented per asset. This is particularly valuable for longer-duration assets like private credit, where reliable T+0 exits can significantly enhance their utility in DeFi.

链捕手47 мин. назад

After Tokenizing Assets, How to Exit?

链捕手47 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить HOME

Добро пожаловать на HTX.com! Мы сделали приобретение Defi.app (HOME) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Defi.app (HOME).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Defi.app (HOME)После приобретения вами Defi.app (HOME) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Defi.app (HOME)С легкостью торгуйте Defi.app (HOME) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

743 просмотров всегоОпубликовано 2025.06.10Обновлено 2026.06.10

Как купить HOME

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на HOME (HOME) представлены ниже.

活动图片