AI Costs More Than Employees at Many Tech Companies
Computing expenses for AI systems now exceed labor costs at major technology firms, according to Bryan Catanzaro, vice president of applied deep learning at Nvidia. He told Axios that for his team, compute costs far surpass what the company spends on salaries.
This reversal challenges the widespread assumption that AI deployment automatically reduces payroll. While companies have eliminated over 150,000 jobs across 549 firms since 2025, the financial math doesn't always work in AI's favor.
The Economics Don't Always Add Up
A 2024 MIT study found that AI automation would be economically viable in only 23% of roles where vision work is central. The remaining 77% still require human labor.
Energy and hardware costs are the primary culprits. Keith Lee, an AI and finance professor at the Swiss Institute of Artificial Intelligence's Gordon School of Business, said AI has remained less cost-efficient than human workers because of these infrastructure expenses.
Tech companies are spending heavily regardless. Capital expenditures for AI reached $740 billion in 2026 alone-a 69% increase from the previous year, according to Morgan Stanley.
Budgets Are Blowing Past Projections
The spending surge is forcing executives to recalculate. Praveen Neppalli Naga, chief technology officer at Uber, told The Information he had to return to the drawing board after his budget estimates for AI coding tools were exhausted far faster than planned.
Companies now face a subscription model problem. Flat-fee pricing doesn't cover operating costs for heavy users, meaning some AI providers are operating at a loss.
A Shift in Strategy
Rather than viewing AI as a labor replacement, firms are increasingly treating it as a complementary tool-at least until costs stabilize, Lee said.
The economics will shift only when AI becomes both cheaper and more predictable at scale. At current spending rates, AI expenditures could reach $5.2 trillion by 2030, according to McKinsey data.
For managers and executives, the lesson is clear: AI investment requires the same cost-benefit scrutiny as any other capital project. Savings aren't automatic. Learn more about AI for Executives & Strategy to understand how to evaluate these decisions.
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