AI can cost more than human workers now

Published: Sunday, April 26, 2026 at 11:30 am

AI's Rising Costs: A Potential Headwind for Businesses

The burgeoning field of artificial intelligence is facing a significant challenge: escalating costs. Recent reports indicate that the expense of running AI systems, particularly the computational power required, is outpacing the costs associated with human employees for some companies.

Executives are voicing concerns. Bryan Catanzaro, a vice president at Nvidia, noted that the cost of computing for his team far exceeds employee expenses. Similarly, Uber's chief technology officer has already exhausted the company's AI budget allocated for 2026 due to token costs.

Despite these challenges, the overall IT spending is projected to surge. Gartner forecasts worldwide IT spending to reach $6.31 trillion in 2026, a 13.5% increase from 2025. This growth is largely fueled by the "sustained momentum" in AI infrastructure, software, and cloud services.

However, this rapid expansion comes with a caveat. Companies, even those with substantial IT budgets, will need to demonstrate a clear return on their AI investments. This could involve proving productivity gains or showing a tangible return on investment to stakeholders. The focus is shifting towards evaluating the true value of both human and digital workers.

The impact of these rising costs is already being felt. Anthropic has adjusted its pricing to reflect increased demand. The situation could potentially reshape the competitive landscape, with companies like OpenAI potentially benefiting if they can offer more cost-effective AI solutions.

BNN's Perspective:

The rising costs of AI present a complex challenge. While the technology holds immense promise, businesses must carefully balance its potential with the financial realities. The need for demonstrable returns on investment will likely drive a more pragmatic approach to AI adoption, emphasizing efficiency and value creation. This shift could lead to a more sustainable and ultimately beneficial integration of AI into the business world.

Keywords: AI, artificial intelligence, costs, spending, IT, budget, investment, productivity, returns, OpenAI, Anthropic, Nvidia, Uber, Gartner, technology

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