Nvidia Reports Surging AI Demand as Skeptics Question Sustainability of Buildout

Nvidia has declared that demand for AI infrastructure continues to expand at an unprecedented pace, pointing to rising rental prices for its flagship H100 and A100 chips as evidence of sustained momentum. The company reported that H100 cloud rental prices have climbed 20% year-to-date, while A100 pricing is up nearly 15%, as customers generate revenue beyond the depreciable life of their GPUs.

Yet industry observers are expressing caution about the durability of the current AI infrastructure boom. Analysts told CNBC that the rally in AI-linked hardware stocks—including European chipmaking equipment makers Aixtron and Technoprobe, which have surged 189% and 129% respectively this year—does not necessarily signal a broader "tech renaissance" in the region. Instead, investors are broadening their focus to "enablers" such as data center networking, chip equipment, and power infrastructure as compute demand rises.

Memory-chip makers represent a particularly extreme bet on AI exceptionalism. Micron Technology is now forecast to become the sixth-most profitable U.S. stock, projected to generate just under $100 billion over the next twelve months—more than Meta or Berkshire Hathaway—despite recording its biggest-ever loss just three years ago. The Wall Street Journal noted that investing in AI involves a strong belief that "it's different this time," with Micron and rivals benefiting from soaring prices for high-bandwidth memory used in AI workloads.

Meanwhile, the AI infrastructure buildout is reshaping labor markets beyond the tech sector. LinkedIn data cited by BGR show 1.3 million tech experts now working in AI roles, while skilled-trades wage growth has reached 30% in some segments. Anthropic CEO Dario Amodei warned that AI could eliminate up to half of entry-level white-collar jobs, even as the construction industry faces a need for nearly 350,000 new workers to support data center expansion.

(Nvidia has restructured its financial reporting into two segments: data center, which includes hyperscale and AI clouds, industrial, and enterprise; and edge computing, which covers devices for agentic and physical AI alongside gaming PCs and consoles.)

The optimism around AI hardware is tempered by geopolitical friction. Nvidia remains caught between U.S. export controls and Beijing's push for domestic alternatives, with Huawei and other Chinese firms filling the void left by restrictions on Nvidia's top-end products. While Chinese chips do not match Nvidia's flagship GPUs pound for pound, they are capturing market share in a region that represents a significant growth opportunity. Nokia, once a leading cellphone maker, has reinvented itself as a provider of AI infrastructure hardware, completing its acquisition of optical networking vendor Infinera last year and securing a $1 billion share purchase from Nvidia in October.