NVIDIA executive Bryan Catanzaro revealed that the cost of computing power for his team now exceeds the company's payroll expenses for human employees. This admission highlights a shifting economic dynamic within the artificial intelligence sector where infrastructure costs are outpacing labor costs.
VP reveals infrastructure spending outpaces labor costs
Catanzaro serves as the vice president of applied deep learning at NVIDIA. He shared this observation in an interview with Axios, noting that the financial burden of maintaining AI capabilities has grown significantly. The statement underscores the intense resource demands required to support advanced machine learning models.
Industry analysts at Gartner project that worldwide IT spending will reach 6.31 trillion dollars in 2026. This figure represents a 13.5 percent increase from 2025 levels. Spending on data center systems is expected to surge from 505.6 billion dollars in 2025 to 787.9 billion dollars in 2026, reflecting the broader industry trend of escalating infrastructure investment.
Other major technology firms such as Uber and Swan AI are also experiencing sharp increases in their AI-related costs. These rising expenses suggest that the financial pressure on compute resources is an industry-wide challenge rather than an isolated issue for NVIDIA. The trend indicates a continued heavy investment in hardware to support growing AI workloads.
NVIDIA CEO Jensen Huang maintains that artificial intelligence will accelerate human work growth rather than eliminate jobs. This perspective contrasts with the immediate financial strain described by Catanzaro regarding compute expenses. The company continues to position AI as a driver of economic expansion despite the high costs involved.
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