On Friday, Nvidia CEO Jensen Huang revealed a concerning trend where companies are reallocating budgets from employee salaries to AI tokens. During the All-In Podcast at GTC 2026, Huang stated that if a US$500,000 engineer's annual AI token consumption is below US$250,000, he would be "deeply alarmed." This shift has significant implications for corporate budgeting.
Reallocation of Corporate Budgets
The shift from human labor to AI investment is evident across major tech firms. The four largest hyperscalers are projected to spend approximately US$700 billion in capital expenditures in 2026, nearly double the previous year. Meanwhile, spending on AI agent software is expected to reach US$207 billion, according to Gartner.
Interestingly, this budget shift has coincided with a rise in job cuts. Data from Challenger, Gray & Christmas indicates that AI is the leading reason for US job cuts for four consecutive months, with the tech sector accounting for 31% of layoffs in the first half of the year.
Effectiveness of AI Investments
Despite the increased spending on AI, the effectiveness of these investments is under scrutiny. A Gartner survey of 350 executives from companies with over US$1 billion in revenue revealed that about 80% had reduced headcount, yet there was no correlation with improved returns. Analyst Helen Poitevin concluded, "Workforce reductions may create budget room, but they do not create return." In contrast, companies that utilized AI to enhance their workforce rather than replace it saw better ROI.
Case Studies from Major Companies
Examples from prominent firms illustrate the complexities of this shift. Uber provided 5,000 engineers with AI coding tools but exhausted its entire 2026 AI budget by April. COO Andrew Macdonald admitted that despite 70% of committed code being AI-generated, the connection to customer experience is lacking.
Klarna, which replaced around 700 customer service roles with an AI assistant, experienced a decline in customer satisfaction. CEO Sebastian Siemiatkowski noted, "We focused too much on efficiency and cost. The result was lower quality, and that’s not sustainable." Following this realization, Klarna has begun hiring humans again.
- US$700 billion in projected capital expenditure by major hyperscalers
- US$207 billion in AI agent software spending expected
- 31% of layoffs attributed to AI in tech
- 80% of companies reducing headcount with no ROI correlation
🤖 This article was rewritten by Feed and Figures' editorial AI from a report originally published by AI News. Facts and quotes are preserved from the original; the rewrite focuses on clarity and structure. For the unedited original, see the source link below.
