Nvidia’s most powerful sales pitch is no longer just its chips, it is a philosophy: if a task can be done by artificial intelligence, it should be. Inside the company, chief executive Jensen Huang is pressing that idea hard, telling staff to treat AI as the default way to work and to strip manual effort out of every corner of the business. His message lands at a moment when the wider Technology sector is wrestling with the same question of how far, and how fast, to let automation reshape white-collar jobs.
Huang’s push is not a vague slogan about innovation, it is a concrete demand that every team, from software engineering to back-office operations, redesigns its workflows around automation. The result is a live experiment inside one of the world’s most valuable chipmakers, one that could preview how other large employers will expect their people to work as AI tools mature.
Inside Huang’s “automate everything” mandate
Jensen Huang has moved beyond cheerleading AI from the keynote stage and into the day-to-day expectations he sets for Nvidia employees. In internal discussions, he has urged staff to assume that any repeatable task should be handed to an AI system, describing it as irrational to leave work on the table that machines can handle faster and more cheaply. That stance has turned Nvidia into a test bed for what happens when a chief executive treats automation not as a side project but as a core management principle.
According to detailed accounts of his internal comments, the CEO has framed this as a company-wide directive rather than a suggestion, telling workers that he wants every task that is possible to be automated with artificial intelligence to be automated with artificial intelligence, and challenging managers who resist that shift. Reports on how Jensen Huang pushes Nvidia staff describe a leader who sees AI not just as a product line but as the operating system for the entire company.
“Are you insane?”: the flashpoint with managers
The sharpest expression of Huang’s impatience came in an all-hands meeting that has already entered Silicon Valley lore. When he learned that some managers were telling their teams to dial back their use of AI tools, he reportedly exploded, asking them, “Are you insane?” and making clear that discouraging automation was, in his view, a dereliction of duty. The outburst captured a cultural fault line inside many companies, between leaders who see AI as an existential priority and middle managers who worry about risk, quality control, or simple loss of oversight.
Accounts of that meeting say Huang did not just vent, he used the moment to restate his doctrine that any task which can be automated should be, and that managers who stand in the way are holding Nvidia back. One detailed report on how Nvidia CEO Jensen Huang allegedly asks managers discouraging AI use describes him pairing that rebuke with assurances that employees’ jobs are not at risk because of AI, a combination of pressure and reassurance that reveals how he is trying to steer the company through a fraught transition.
AI as the starting point for every task
Huang’s philosophy is not just about automating existing workflows, it is about changing how people think before they even begin. He has told Nvidia employees to treat AI as the starting point for every task, from writing code to drafting emails or analyzing data, and to see manual work as the exception rather than the rule. In his view, the first question should be not “Can I do this myself?” but “Which AI tool should do this for me?”
That mindset shift is already visible in how teams inside Nvidia operate. Reports on internal guidance say Huang wants staff to begin with an AI-generated draft or prototype and then refine it, rather than starting from a blank page, and he has described it as “insane” not to use AI anywhere the technology can reach. One account of how Nvidia and Jensen Huang are pushing employees to use AI notes that he expects this approach to permeate everything from engineering to routine office work, effectively making AI the default collaborator for every role.
Cursor and the new AI-powered engineer
Software development is where Huang’s automation agenda is most visible, and where the stakes are highest for productivity. He has highlighted that Nvidia’s own software engineers use the AI coding assistant Cursor as a core part of their workflow, treating it as a partner that can generate boilerplate, suggest fixes, and accelerate experimentation. In practice, that means the company’s coders are expected to lean on AI not just for small snippets but across the entire development cycle.
By holding up Cursor as a model, Huang is signaling what he expects from technical staff: embrace AI tools deeply, or risk falling behind peers who do. Reports on his internal comments describe him urging workers to keep relying on these assistants and to push more of their routine coding into automated pipelines. One detailed account of how Huang told staff that Nvidia’s own software engineers use AI coding assistant Cursor underscores that this is not a distant vision but a current expectation, one that could redefine what it means to be a “productive” engineer inside the company.
“AI will not take your job” and the promise of hiring
Huang’s aggressive push for automation sits alongside a carefully crafted message about job security. He has argued that AI itself will not take employees’ jobs, but that someone who learns to use it will, flipping the usual fear of automation into a call for upskilling. In his telling, the threat is not the technology but the skills gap between workers who embrace AI tools and those who resist them.
That framing is backed by a public pledge that Nvidia will keep expanding its workforce even as it automates more tasks. Reports on his internal and external comments say the company is planning to hire 10,000 people despite the automation push, a figure he cites to argue that productivity gains will support growth rather than mass layoffs. One detailed account of why Why Nvidia CEO Wants every task Automated With AI notes that he pairs this hiring plan with the warning that employees must learn to work with AI or risk being overtaken by colleagues who do, while another report on how the Nvidia CEO says AI won’t take your job captures his exact phrasing that someone who learns to use it will.
Balancing automation with expansion and new sites
For Huang, automation is not about shrinking Nvidia, it is about scaling it faster than would be possible with traditional hiring alone. He has argued that by automating every feasible task, the company can free up people to focus on higher value work, from designing new chips to building software ecosystems around them. That logic underpins Nvidia’s decision to keep investing in physical expansion even as it leans harder into AI inside the office.
Reports on the company’s growth plans say Nvidia is continuing to build out additional sites in the US, a signal that Huang sees a long runway for demand in data center GPUs and AI infrastructure. One detailed account of how the CEO Jensen Huang Pushes Nvidia Staff To Automate With AI notes that this physical expansion sits alongside his insistence on automating internal tasks, suggesting he views AI as a way to amplify, not replace, a growing workforce spread across more locations.
The wider tech industry is moving the same way
Huang’s rhetoric may be blunt, but the direction of travel is shared across the Technology sector. Other major employers are also telling staff to integrate AI into daily work, and in some cases tying performance expectations to how effectively people use these tools. The message is that AI fluency is no longer optional for knowledge workers, it is part of the job description.
One prominent example comes from Microsoft, where CEO Satya Nadella has described how a significant share of the company’s code is already being written with AI assistance and has urged employees to “fall in love” with the technology. Reports on how the Microsoft CEO Satya Nadella is steering his own workforce show that Nvidia is not alone in expecting staff to use AI to do “literally everything” they can, reinforcing the idea that Huang’s internal mandate reflects a broader shift in how big tech companies want their people to work.
Economic stakes: trillions in market value on the line
Behind Huang’s insistence on automation lies a simple economic calculation: the companies that harness AI most effectively could capture enormous value, while laggards risk being left behind. Nvidia’s own market capitalization has already surged on the back of demand for its AI chips, and Huang has pointed to the potential for trillions of dollars in additional value as more industries adopt these technologies. In that context, telling employees it is “insane” not to use AI is less a rhetorical flourish than a reflection of the financial stakes.
Reports on his internal comments describe Huang linking the integration of AI into everyday work with the broader boom in AI infrastructure spending, arguing that the same forces driving Nvidia’s revenue should also reshape how its people operate. One detailed account of how the NVIDIA CEO Jensen Huang blasts managers who discourage automation notes that he has cited figures in the trillions of dollars when talking about the market capitalization tied to AI, underscoring why he sees internal resistance to automation as a direct threat to Nvidia’s competitive edge.
Cultural tension and the human side of “insane”
Huang’s choice of words has sparked debate about how far leaders should go in pressuring employees to adopt new tools. Calling managers “insane” for urging their teams to use less AI may galvanize some workers, but it can also deepen anxieties among those who worry about being replaced or about the quality of AI-generated work. The cultural shift he is demanding is not just technical, it is emotional, asking people to trust systems that are still evolving and to redefine what their own expertise looks like.
Reports on the all-hands meeting where he used that phrase describe a mix of awe and discomfort among staff, who heard both a clear directive and an implicit warning about what happens to those who do not keep up. One detailed account of how Here Nvidia CEO Jensen Huang exploded at managers in an all-hands meeting notes that he framed his outburst in the context of Artificial Intelligence being central to the tech industry, suggesting that, in his view, failing to embrace AI is not just a tactical mistake but a fundamental misunderstanding of where the sector is headed.
What Huang’s vision means for the future of work
Huang’s insistence that every possible task be automated with AI offers a stark preview of how work could look if other large employers follow his lead. In that world, employees would be expected to orchestrate fleets of AI tools, focusing on judgment, oversight, and creative direction while machines handle the bulk of execution. Performance reviews would likely measure not just what people produce, but how effectively they deploy automation to multiply their output.
For now, Nvidia is one of the clearest examples of a major company trying to live that future in real time, with a chief executive who is willing to confront internal skeptics in blunt terms. As more organizations wrestle with similar questions, Huang’s experiment will be watched closely: if his combination of aggressive automation, promises of continued hiring, and cultural pressure succeeds, it could become a template for how other CEOs push their own workforces to let AI take over every task it can.
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