Jensen Huang’s message to Nvidia staff is pretty clear-cut: anything that can be automated with AI should be automated with AI. The blunt directive underlines how seriously the chipmaker is taking the adoption of AI – not just in the products it sells, but in how it operates its own business.
At a recent all-hands meeting, Huang did not mince words on reports that some Nvidia managers were discouraging employees from relying too much on AI tools. “Are you insane?” he said, according to an audio recording reviewed by Business Insider. The comment came shortly after Nvidia posted its strongest quarter ever with $57 billion in revenue.
Tech Giants Push Employees to Integrate Automation into Daily Workflows
Huang’s position reflects a broader transition underway within one of the world’s most valuable technology companies. Nvidia isn’t only making the hardware powering AI data centers everywhere, but it’s also one of the most aggressive adopters of AI into its own daily workflows.
The company pushes employees to embrace automation where possible, from engineering to mundane tasks.
The CEO especially urged engineers to continue utilizing AI-assisted coding platforms like Cursor, which Nvidia’s own developers already use. He encouraged teams to keep refining such tools when tasks don’t quite reach full automation yet. The message is clear: make AI a standard part of how work gets done, not an optional add-on.
Nvidia is not alone in that push. Tech giants across Silicon Valley are making similar efforts. Microsoft and Meta have started associating the usage of A.I. tools with employee performance reviews. Google has asked all its engineering teams to integrate generative AI systems into their coding work. Amazon has explored deploying Cursor after employees requested access to the platform.
What’s happening represents a notable shift in how technology companies think about AI: the tools are no longer experimental productivity boosters or interesting side projects. They’re becoming compulsory professional equipment, just like email or project management software.
Jensen Huang Assures Employees Amidst Rapid Expansion
Companies want their engineers not just to work faster, but also to develop hands-on familiarity with the systems that will define their next-generation products.
This mandate naturally leads to questions about job security: if AI can automate more and more tasks, what happens to those doing the tasks? Huang confronted this question directly in the meeting, and his response was deeply rooted in Nvidia’s explosive growth trajectory.
The company has been hiring at a blistering pace, with employee headcount jumping from 29,600 at the end of fiscal 2024 to 36,000 just one year later.
But according to Huang, even that rapid expansion isn’t enough: Nvidia is “probably still about 10,000 short” of meeting its staffing needs as the company opens new facilities in Taipei, Shanghai, and multiple locations across the United States. “I promise you, you will have work to do,” Huang told employees.
That’s partly because Nvidia sits at the center of the AI boom. The company’s graphics processing units have become indispensable infrastructure for training and running large language models and other AI systems. Demand has been so great that Nvidia has struggled to keep up with orders, even as it dramatically scales production.
How Automation is Transforming the Future of Work from the Inside Out?
All the same, the aggressive push to adopt AI brings up critical questions about the future of work inside these firms. When automation becomes obligatory instead of optional, it changes what employees do and how teams work together. For instance, engineers may spend less time writing code from scratch and more time reviewing, refining, and guiding work generated by AI.
To Nvidia, the strategy seems to be one about staying ahead in multiple ways. By using AI internally, the company can move faster, be more efficient, and make sure its workforce is deep in the technology they’re building for customers. But it also says a lot to the industry: if you’re not automating aggressively, you’re falling behind.
One thing Huang’s directive makes perfectly clear is that at Nvidia, AI isn’t just the product – it’s also the process.
