What was said

Jensen Huang, CEO of Nvidia, recently slammed managers at his company for telling teams to use less artificial intelligence (AI). In a company-wide meeting held after Nvidia reported a record quarter, Huang asked bluntly: “Are you insane?” when he heard that some managers were discouraging AI usage. He made it clear that his expectation is: every task that can be automated with AI should be automated.

Why this matters

Nvidia reported revenue of about $57 billion in its most recent quarter, up roughly 62 % year-over-year. Amid that strong performance, Huang emphasized that the company is still hiring, its workforce grew from about 29,600 to 36,000 in the last fiscal year, and he said they remain “probably still about 10,000 short.” He tried to reassure employees that using AI isn’t about job cuts but about freeing people up for higher-value work: “I promise you, you will have work to do.”

What this tells us

What this really means is that Nvidia sees AI not as a nice-to-have but as core to its operations. The message from the top is: if you can automate it, you should. That applies not just to obvious tasks (like code generation) but to everyday workflows. Huang mentioned that Nvidia software engineers use an AI tool called Cursor and said: “If AI does not work for a specific task, use it until it does, jump in and help make it better, because we have the power to do so.”

Bigger implications

For other tech companies and professionals, the takeaway is clear: AI is moving from experimentation toward expectation. If you are in a role where workflows are repetitive, expect pressure to adopt AI tools. For companies, the risk is getting left behind by firms that embed AI into every part of their business. Huang’s approach sends a strong signal that automation is a strategic priority, not just a productivity tool.

Bottom line

When a leading tech company like Nvidia says “automate everything you can”, it raises the bar for the rest of the industry. For employees and teams, it means adapting fast. For companies, it means rethinking workflows. If you’re not embedding AI into your operations or skill-set, you may find yourself playing catch-up.