Nvidia employees display an unusual level of devotion to CEO Jensen Huang, treating him with reverence that stands in stark contrast to the frustration workers express at Microsoft, Meta, and other major tech firms. A university professor who recently observed Nvidia staff at an international business summit was struck by the difference: while employees at competing companies openly air grievances about leadership, not a single Nvidia worker voiced criticism of Huang.

Why Do Nvidia Employees Show Such Loyalty to Jensen Huang?

The stark difference in employee sentiment boils down to three concrete factors: job security, stock wealth, and a working culture that encourages rather than restricts AI tool usage. Unlike Meta, which cut 8,000 jobs (10% of its workforce), and Microsoft, which eliminated about 4,800 positions (2.1% of staff), Nvidia has actually been expanding its headcount. The company established a "no layoffs ever" principle back in 1996 during a near-death experience when it cut from 100 employees to 40 to survive.

An Nvidia official explained the philosophy: "I understand that CEO Huang established a principle back in 1996 that 'we will never carry out workforce reductions.' Considering that Nvidia is a cutting-edge technology company, such a principle actually doesn't make sense." The official added that the company maintains this commitment even when yesterday's experts may not be today's experts, choosing to retain institutional knowledge rather than chase short-term cost savings.

Since that 1996 survival moment, Nvidia has maintained this commitment with remarkable consistency. The only significant workforce reduction came during the 2008 global financial crisis, when the company cut several hundred jobs representing 6.5% of its total workforce. Industry sources confirm that no large-scale layoffs have occurred since then, despite the company's explosive growth in graphics processing units (GPUs) and artificial intelligence (AI) businesses.

How Does Stock Compensation Transform Nvidia Employees Into Multimillionaires?

• Restricted Stock Units (RSUs): Nvidia offers competitive RSU packages to all employees from new hires to senior engineers, with shares vesting over four years in staggered increments rather than all at once.
• Employee Stock Purchase Plan (ESPP): Workers can buy company stock at a discounted price using a percentage of their salary, allowing them to accumulate shares beyond their base compensation.
• Wealth Accumulation Effect: A mid-level engineer known to industry sources has seen his stock holdings reach several million dollars due to Nvidia's recent stock surge, creating generational wealth for ordinary technical staff.

The wealth-building effect of Nvidia's stock compensation cannot be overstated. An industry source noted: "An Nvidia employee I know well is a mid-level engineer, but the value of his holdings has reached several million dollars because Nvidia's stock has risen sharply in recent years. As someone who has to make a living, even if I were an Nvidia employee, I couldn't help but like CEO Huang. That's why employees don't badmouth Jensen Huang even in gossip".

How Does Nvidia's AI Tool Policy Differ From Competitors?

While Meta and Microsoft are actively restricting internal AI usage to control costs, Nvidia takes the opposite approach. Meta has stated it will build a system to systematically manage AI token usage by 2027, estimating its internal AI costs will reach several billion dollars this year. Tokens are units of text that AI models process; managing token usage is essentially managing the cost of using AI tools internally.

Nvidia's CEO, by contrast, actively encourages employees to use AI tools extensively. In a recent interview, Huang suggested that an engineer earning around $500,000 annually should use at least $250,000 worth of tokens per year to boost productivity. For heavy users, token costs can actually exceed their annual salary, a situation that would concern most companies focused on cost control. Yet Nvidia frames this as an investment in employee productivity rather than a cost to minimize.

"For heavy users, token costs can actually exceed their salary. From a company's standpoint, it inevitably becomes a concern. That's why Nvidia's encouragement of token use is unusual," noted an industry source.

Industry source, technology sector analyst

This permissive approach to AI tool usage creates a working environment that feels fundamentally different from the cost-cutting measures dominating other tech giants. Employees at Nvidia perceive their company as investing in their success rather than squeezing efficiency from existing resources.

What Does This Loyalty Mean for Nvidia's Future?

The combination of job security, substantial stock wealth, and a culture of trust creates what observers describe as "fandom" for Jensen Huang. A university professor who interacted with Nvidia employees at an international business summit remarked: "Employees at Microsoft and Meta gather among themselves to air their grievances about the company and the CEO, but I haven't seen a single Nvidia employee say anything bad about Jensen Huang. Their 'fandom' for him is considerable".

This employee devotion translates into tangible business advantages. Highly motivated teams tend to produce better work, stay longer at the company, and attract top talent through word-of-mouth reputation. In the competitive race for AI talent, where skilled engineers can command premium salaries and stock packages, Nvidia's culture of loyalty and wealth-building may provide a sustainable competitive edge that transcends quarterly earnings or stock price fluctuations.