Nvidia exec admits AI costs now exceed what company pays human employees as compute bills soar

Nvidia's VP of deep learning says AI workers are already 'far beyond the costs of the employees'

AI is being touted as a lot of things. A productivity tool to get the most out of your work, a bit of software to help you draft an email, and, perhaps most worrying, a way to do away with those pesky wage costs. However, it seems like, to those near the top of the chain, AI might already be starting to become more costly than its human counterpart. As reported by Axios, Bryan Catanzaro, the vice president of applied deep learning at Nvidia said: "For my team, the cost of compute is far beyond the costs of the employees." A point worth mentioning here is that this quote does not specify whether that is 'more in total' or 'more per an average worker's work'. My guess is on the former, given how much Nvidia and similar companies are pumping into AI development. Still, it's a sign of how much commitment is currently being invested in the tech. Nvidia owes a lot to AI, with it being responsible for making it the world's first $5 trillion company. OpenAI, the creator of ChatGPT, picked up $110 billion in funding just a few months ago, and the likes of Meta and Amazon are also further committing to AI. One of the central concerns around AI right now, other than plagiarism, AI psychosis, and the environment, is the effect it will have on the general working public. Microsoft's AI CEO reckons lawyers, accountants, project managers, and marketing people will all be replaceable by AI in the next 12 to 18 months (though curiously, not AI CEOs). Nvidia's own Jensen Huang said last year that, even if AI replaces some workers, there will be roles out there for them. He said, "If you're an electrician, if you're a plumber, if you're a carpenter, we're going to need hundreds of thousands of them. To build all of these factories." Not everyone seems to agree with this perspective, though. A former Google executive believes AI will lead to a "short-term dystopia" as the idea that it will create new jobs for the ones it's replacing is "100% crap". Still, what remains a lingering question over AI development is how much those workers will eventually cost. If a handful of companies control the majority of AI models, they can afford to set the rates of tokens. We saw this recently, with the Uber CTO getting through the entire 2026 AI budget due to token costs. One has to wonder when all that AI development will be worth it, and how much it will cost after all of that effort.

NVIDIA's Own AI Costs Now Dwarf What It Pays Human Employees, VP Admits, as Compute Bills Spiral Across the Industry

AI is great for many tasks, but the costs to run AI are also exponentially higher than those of human workers, says NVIDIA. As AI becomes part of every single IT domain, the costs to keep the entire ecosystem up and running have also grown rapidly. AI firms are spending trillions of dollars in upgrade costs of their existing AI factories while setting up new ones in multi-Gigawatt projects. At the same time, NVIDIA, the pioneer of AI advancements, is facing a cost issue, though they don't make it seem that way; instead, the higher operational costs are seen as an advancement in AI adoption rates & how quickly it's entering every facet of our daily lives. NVIDIA's VP or Applient Deep Learning, Bryan Catanzaro, says that for his team, the cost of AI compute is far beyond the costs of typical human employees. An AI infrastructure is a lot of money, and NVIDIA has constantly been in the race to offer the best not only to its customers, but also for its own needs. The AI giant relies heavily on AI, whether that be to power its own models, services, or next-gen technologies like the consumer-focused DLSS tech. "For my team, the cost of compute is far beyond the costs of the employees," Bryan Catanzaro, vice president of applied deep learning at Nvidia, told Axios. But it's not just NVIDIA that is witnessing AI costs swell beyond the cost of employees. Axios reports that Uber, Swan AI, and many other firms have also seen a sharp rise in their AI costs, with total Worldwide IT spending expected to reach $6.31 trillion in 2026, up 13.5% versus last year (Gartner). Source: Gartner (April 2026) Meanwhile, NVIDIA's CEO has emphasized that the future of Humanity revolves around smart employees and humans in general who use AI to accelerate their work growth. Jensen Huang has already pushed back on the AI Job-Destruction narrative and that humans are meant to solve problems, not perform tasks. As we look forward, AI is seeing no deceleration in its pace, and Agentic AI is the start of a new era, but as of right now, AI is still very much in its early phases.

It's Costing More To Use AI Than Human Employees, Nvidia Exec Says - Meta Platforms (NASDAQ:META), Micros

AI's purported productivity gains are coming at a cost greater than companies would typically pay humans, according to Nvidia (NASDAQ:NVDA) Vice President of Applied Deep Learning Bryan Catanzaro. "For my team, the cost of compute is far beyond the costs of the employees," Axios quoted Catanzaro as saying last week. And Catanzaro's experience is not be unique. Uber Chief Technology Officer Praveen Neppalli Naga told The Information early last month that the popular ride-hailing platform has already burned through its AI budget for the year. Don't Miss: However, companies do not appear to be dissuaded by the cost of these AI tools. In fact, they appear to see it as a flex. Nvidia CEO Jensen Huang in March said he would be concerned if his engineers earning $500,000 a year did not at least use up to $250,000 in AI tokens. About 11% of Uber's code is now written by AI, Neppalli Naga is quoted as saying by The Information, adding that the plan is for AI agents supervised by other AI agents to replace software engineers. In a viral LinkedIn post last month, startup Swan AI CEO Amos Bar-Joseph boasted that his four-person team had reached a $113,000 monthly AI bill. Trending: Discover How AI Can Turn Your Investment Ideas Into Tradable Assets -- See How The revelation that the cost of relying on AI may outpace the cost of human labor comes against a backdrop of big tech companies actively dropping employees while embracing AI tools. Meanwhile, academic studies and reporting question whether the adoption of AI tools is yielding productivity gains. A number of Amazon employees were recently quoted by The Guardian as saying that, in some instances, the use of AI actually hurt productivity. As companies continue to invest heavily in artificial intelligence, questions around cost efficiency and long-term returns are becoming increasingly important for investors evaluating the sector. Rising compute expenses and uncertainty around productivity gains are leading to a more nuanced view of how different companies within the AI ecosystem may perform over time. Read Next: Building Wealth Across More Than Just the Market Connect Invest Mode Mobile rHealth rHealth is building a space-tested diagnostics platform designed to bring lab-quality blood testing closer to patients in minutes rather than weeks. Originally validated in collaboration with NASA for use aboard the International Space Station, the technology is now being adapted for at-home and point-of-care settings to address widespread delays in diagnostic access. Backed by institutions including NASA and the NIH, rHealth is targeting the large global diagnostics market with a multi-test platform and a model built around devices, consumables, and software. With FDA registration in progress, the company is positioning itself as a potential shift toward faster, more decentralized healthcare testing. Direxion Immersed Arrived Masterworks Public AdviserMatch Accredited Debt Relief Image: Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.