Nvidia VP Says AI Costs ‘Far’ More Than Human Employees
AI is 23% viable for job automation, but $740B is being spent...
Nvidia vice president Bryan Catanzaro has dropped a bombshell: for his team, the cost of AI compute now exceeds the cost of the human employees using it. This admission challenges the prevailing narrative that AI is inherently cheaper than human labor, especially for complex tasks. The statement comes amid a broader industry reckoning, as companies pour billions into AI infrastructure without clear productivity returns.
A 2024 MIT study corroborates Catanzaro's point, finding that AI automation is economically viable in only about 23% of jobs. In the remaining 77%, humans remain the more cost-effective option. Yet, despite these realities, big tech firms have committed approximately $740 billion to AI-related expenses this year—a staggering 69% increase from 2025. This disconnect suggests that the AI boom may be driven more by competitive pressure and hype than by proven ROI, raising questions about the sustainability of current investment levels.
- Nvidia VP Bryan Catanzaro says AI compute costs now exceed human employee costs for his team.
- MIT 2024 study finds AI automation is economically viable in only 23% of jobs.
- Big tech has committed $740B to AI expenses in 2025, a 69% jump from 2024.
Why It Matters
Challenges the assumption AI is cheaper than humans, questioning the ROI of massive industry spending.