OpenAI’s Average Stock Compensation Reaches $1.5 Million, Setting Tech Startup Record
BlockBeats News, December 31st, according to WSJ reports, financial data shows that OpenAI is paying its employees some of the highest salaries in tech startups in recent years, with an average stock compensation of about $1.5 million for the company's approximately 4,000 employees.
WSJ's analysis of Equilar data shows that in the past 25 years, in the year before the IPO of major tech companies, OpenAI's compensation was 34 times that of the other 18 companies. Financial data disclosed to investors this summer shows that OpenAI's stock compensation is expected to increase by about $3 billion annually by 2030. The company has recently informed employees that it will be eliminating a policy requiring employees to work at OpenAI for at least six months to receive equity, which could lead to further salary increases.
Analysis shows that by 2025, OpenAI's compensation as a percentage of revenue will reach 46%, second only to Rivian (which had no revenue in the year before its IPO) among the companies analyzed in the report. In comparison, Palantir's stock compensation as a percentage of revenue was 33% in the year before its 2020 IPO, Google's was 15%, and Facebook's was 6%. (Golden Finance)
You may also like

Stop Talking About Gold, Bitcoin Is Not a Safe Haven Asset

Aave Founder: What Is the Secret of the DeFi Lending Market?
The Trader's Playbook: 7 Market Cycle Lessons From LALIGA’s 90 Minutes
What do LALIGA matches teach about crypto markets? Learn how consolidation, breakouts, and late-cycle volatility shape disciplined trading decisions.
How Smart Money Tracker Survived Live AI Trading at WEEX AI Hackathon
Discover how WEEX AI Trading Hackathon tested strategies with real capital—no simulations. See how Smart Money Tracker survived flash crashes and leveraged 18x in live markets.
80% Win Rate to 40% Drawdown: An AI Trader's Brutal Recalibration at WEEX AI Wars
Dive into the technical blueprint of an AI trading system built on LLaMA reasoning and multi-agent execution. See how Quantum Quaser uses confidence thresholds & volatility filters at WEEX AI Wars, and learn the key to unlocking 95% win rate trades.
AI Trading Strategy Explained: How a Beginner Tiana Reached the WEEX AI Trading Hackathon Finals
Can AI trading really outperform human emotion? In this exclusive WEEX Hackathon finalist interview, discover how behavioral signal strategies, SOL trend setups, and disciplined AI execution secured a spot in the finals.

When AI Takes Over the 'Shopping Journey,' How Much Time Does PayPal Have Left?

Bloomberg: Aid Turkey Freeze $1 Billion Assets, Tether Remakes Compliance Boundary

Polymarket vs. Kalshi: The Full Meme War Timeline

Consensus Check: What Consensus Was Born at the 2026 First Conference?

Resigned in Less Than a Year of Taking Office, Why Did Yet Another Key Figure at the Ethereum Foundation Depart?

Russian-Ukrainian War Prediction Market Analysis Report

Ethereum Foundation Executive Director Resigns, Coinbase Rating Downgrade: What's the Overseas Crypto Community Talking About Today?

Who's at the CFTC Table? A Rebalancing of American Fintech Discourse
AI Trading vs Human Crypto Traders: $10,000 Live Trading Battle Results in Munich, Germany (WEEX Hackathon 2026)
Discover how AI trading outperformed human traders in WEEX's live Munich showdown. Learn 3 key strategies from the battle and why AI is changing crypto trading.
Elon Musk's X Money vs. Crypto's Synthetic Dollars: Who Wins the Future of Money?
How do Synthetic Dollars work? This guide explains their strategies, benefits over traditional stablecoins like USDT, and risks every crypto trader must know.

The Israeli military is hunting a mole on Polymarket

Q4 $667M Net Loss: Coinbase Earnings Report Foreshadows Challenging 2026 for Crypto Industry?
Stop Talking About Gold, Bitcoin Is Not a Safe Haven Asset
Aave Founder: What Is the Secret of the DeFi Lending Market?
The Trader's Playbook: 7 Market Cycle Lessons From LALIGA’s 90 Minutes
What do LALIGA matches teach about crypto markets? Learn how consolidation, breakouts, and late-cycle volatility shape disciplined trading decisions.
How Smart Money Tracker Survived Live AI Trading at WEEX AI Hackathon
Discover how WEEX AI Trading Hackathon tested strategies with real capital—no simulations. See how Smart Money Tracker survived flash crashes and leveraged 18x in live markets.
80% Win Rate to 40% Drawdown: An AI Trader's Brutal Recalibration at WEEX AI Wars
Dive into the technical blueprint of an AI trading system built on LLaMA reasoning and multi-agent execution. See how Quantum Quaser uses confidence thresholds & volatility filters at WEEX AI Wars, and learn the key to unlocking 95% win rate trades.
AI Trading Strategy Explained: How a Beginner Tiana Reached the WEEX AI Trading Hackathon Finals
Can AI trading really outperform human emotion? In this exclusive WEEX Hackathon finalist interview, discover how behavioral signal strategies, SOL trend setups, and disciplined AI execution secured a spot in the finals.