Nvidia CEO Jensen Huang has revealed that he reviews the salaries of all 42,000 of his employees. In a recent AI-themed panel on the All-In podcast, Huang stated that this practice is a key part of his management strategy that has even helped the top executives of the US-based chip maker. The tech billionaire claimed that he finds time for this review process despite his busy schedule. He also noted that he uses machine learning and other tech to go through this process every month. In the podcast, when asked about speculations that he maintains a hidden reserve of stock options to reward top-performing employees, Huang said: “I review everybody’s compensation, up to this day, at the end of every cycle. They send me everybody’s recommended comp. I go through the whole company. I sort through all 42,000 employees, and 100% of the time I increase the company’s spend on opex.”“If you take care of people, everything else takes care of itself,” he explained.It’s a strategy that has worked well for the company’s leadership as well. A recent surge in its stock price pushed three of Nvidia’s board members into the billionaire club, and last fall, Huang made his debut on Forbes’s list of the world’s top 10 wealthiest individuals. He also claimed that he seeks to compensate all his workers handsomely.In the podcast, Huang also mentioned: “I’ve created more billionaires on my management team than any CEO in the world. They’re doing just fine. Don’t feel sad for anybody at my layer.”

Nvidia CEO Jensen Huang on how small teams can ‘create wonders’ if given right funding

“But the important big idea is that the impact of 150 or so AI researchers, with funding behind them, can probably create,” he noted while giving examples of Microsoft-backed AI startup OpenAI, which initially started with around 150 employees, as well as China’s DeepSeek, which also has a similar workforce.“That’s not a small team. That’s a good-sized team with the right infrastructure… If you’re willing to pay, say, $20 billion, $30 billion to buy a startup with 150 AI researchers, why wouldn’t you pay one?” Huang noted, highlighting the uniqueness that well-structured, mid-sized teams can bring to the table if they’re given the right resources.