Nvidia CEO Jensen Huang has consistently dismissed concerns about an AI bubble, asserting that the current surge in AI investment reflects a fundamental technological shift rather than speculative hype.4 As of early January 2026, Huang emphasized that the AI revolution is building a new global infrastructure, with data centers acting as "AI factories" and driving massive, real-world demand for computing power.4 Despite this, some analysts remain cautious, citing risks such as overinvestment in data centers and circular funding deals that may inflate demand artificially.6

• Huang stated during a recent podcast appearance that the AI boom is not a bubble but a structural transformation driven by the end of Moore’s Law and the need for accelerated computing, which is already reshaping industries from healthcare to manufacturing.4

• He highlighted that AI is no longer just enhancing existing software but creating entirely new categories, including agentic AI systems capable of reasoning with minimal input, which will require even greater computational resources.34

• Nvidia’s financial performance supports this view: the company reported a 62% year-on-year revenue increase to $57 billion in its fiscal 2026 third quarter, with expectations of $65 billion in fourth-quarter revenue, both exceeding Wall Street forecasts.52

• Despite strong results, concerns persist about the sustainability of massive capital expenditures by tech giants and the potential for overcapacity if demand slows, particularly given the circular investment model involving Nvidia and major clients like OpenAI.6

• Analysts like Brian Colello of Morningstar see the current market skepticism as a "buying opportunity," while others, such as those at Wedbush, believe the AI revolution is in its third year of a projected 10-year build-out, reinforcing long-term confidence.2