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Jensen Huang dispels the myth of AI unemployment: it will not eliminate workers, but will instead create numerous new job opportunities
NVIDIA CEO Jensen Huang refutes the doomsday theory of AI. He emphasizes that agentic AI will drive a thousandfold increase in computing demand and calls AI a generator of jobs, capable of boosting productivity and pushing the United States toward reindustrialization.
NVIDIA CEO Jensen Huang recently attended the “Global Conference 2026” AI era panel hosted by the Milken Institute, an economic policy think tank. Regarding market anxieties that AI could trigger widespread unemployment, Huang Huang remains highly optimistic, not only dismissing the “AI doomsday theory” but also stating that AI is a key engine for reindustrialization and job creation in the U.S. Additionally, he revealed that the next wave of “agentic AI” will lead to unprecedented GPU computing demands and infrastructure booms.
Rise of Agentic AI! Will Drive GPU Computing Demand to Increase a Thousand Times
Huang emphasized that generative AI has already brought significant change worldwide, but the development of “agentic AI” will require 1,000 times more processing power than generative AI, leading to continuous surges in GPU demand. He pointed out that the AI industry is driven by new types of industrial facilities, which produce hardware that is essential infrastructure for AI. The construction, production, and operation of these facilities will inevitably create massive labor demands, just like other segments of the rapidly growing AI supply chain.
Breaking the Unemployment Myth: AI Enhances Productivity, Not Replaces Workers
In response to concerns that AI will cause large-scale unemployment, Huang clearly stated, “AI is a large-scale industrial generator of jobs.” When asked whether rapid AI development might lead to social disorder and increased inequality, Huang explained that many people confuse “the purpose of work” with “work tasks.” Even if AI automates and takes over certain specific tasks, the broader roles and core value of employees within organizations still exist. He emphasized that the main goal of AI is to boost productivity and accelerate scientific discovery, not simply eliminate jobs.
Huang Huang: Overhyping the “AI Doomsday” Will Hinder National Development
Beyond economic impacts, Huang also outlined AI application blueprints across various professional fields. He proposed an open-source AI “swarm” concept for cybersecurity and predicted that real-time AI analysis will thoroughly revolutionize medical diagnostics. He also expressed concern about the U.S.'s hesitance in AI development, believing that exaggerated sci-fi doomsday stories have scared the public, causing fear and reluctance to engage with AI, which could hinder the country’s leadership in this field. Therefore, he advocates for responsible AI development and calls for international cooperation on safety standards.
Will AI Impact the Economy? The Job Market Still Needs Long-term Observation
Although Huang downplays the idea that AI possesses self-awareness or poses existential risks to humans, debates about AI’s long-term economic impact remain. Critics argue that most doomsday claims originate from the AI industry itself, often used as marketing hype and buzzwords, with actual capabilities falling short of the publicity.
Furthermore, while NVIDIA is confident about AI driving employment growth, some authoritative financial and academic institutions remain cautious, predicting that up to 15% of jobs in the U.S. could disappear over the next few years due to AI proliferation. The long-term tangible effects of AI on the economy and labor market still require further time and market validation.