Nvidia CEO argues chip demand eases AI bubble worries

Investor concern about an AI investment bubble has increased in recent weeks as valuations for AI-focused companies and private funding rounds rose sharply.

Nvidia CEO Jensen Huang told investors he sees continued demand for high-performance data-center GPUs and a growing software ecosystem as reasons for cautious optimism about the sector.

Investors and analysts flagged rapid price gains in AI-related stocks, large private funding rounds for generative AI startups and frequent product announcements as signs that capital is flowing into the sector faster than company fundamentals. They pointed to stretched valuation multiples and concentrated gains among a small number of chip and software firms.

Huang addressed those concerns at investor meetings and public appearances, saying the market is building infrastructure that will require years of incremental compute. He reported that enterprises and cloud providers are buying more GPUs for both training large models and running inference, and that some use cases are moving beyond prototypes to require sustained, high-volume compute capacity.

Nvidia has paired its GPUs with optimized software, reference systems and developer tools intended to simplify deployment of large language models and other generative AI workloads. The company describes that combination as a layered offering aimed at recurring deployments across cloud services, finance, healthcare and automotive customers.

Some investors accept the view that rising adoption could justify current valuations if demand remains steady. Others noted that growth is concentrated among a handful of customers and cautioned that competition, supply cycles or a slowdown in enterprise spending could change the outlook. Analysts highlighted the risk that investments in early-stage startups driven by hype may not produce sustainable revenue.

Nvidia’s market position has strengthened as model training and inference increasingly rely on specialized accelerators. Huang emphasized ongoing needs for performance improvements and tighter software integration, and he cited partnerships with cloud providers and system integrators as channels that can speed deployments at scale.

Nvidia transformed from a graphics-chip maker into a supplier of AI compute platforms and accompanying software libraries. That shift has driven rapid revenue growth in data-center products and attracted scrutiny over whether current market valuations reflect sustainable earnings or a speculative run-up tied to generative AI.