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Jensen Huang dispels the myth of AI unemployment: it will not eliminate workers, but rather create numerous new job opportunities
NVIDIA CEO Jensen Huang dismisses the AI doomsday narrative. He emphasizes that agentic AI will drive a thousandfold increase in compute demand, and says AI is an “industrial-grade” job-creating power generator—capable of boosting productivity and helping the United States reindustrialize.
Jensen Huang, CEO of NVIDIA, recently attended a panel discussion on the “AI Era” at the “Global Conference 2026” hosted by the Milken Institute, an economic policy think tank. In response to market concerns that artificial intelligence (AI) could trigger large-scale unemployment, Huang remains highly optimistic. He not only rejects the “AI doomsday” narrative, but also directly states that AI is an important engine for reindustrialization in the United States and for creating job opportunities. In addition, he also revealed that the next wave of “agentic AI (Agentic AI)” will drive unprecedented GPU computing demand and spark a boom in infrastructure.
Agentic AI is rising! Will drive a thousandfold surge in GPU computing demand
In the discussion, Huang stressed that generative AI has already brought major change worldwide. But the “agentic AI” development that comes next will require 1,000 times more processing capacity than generative AI, which will cause the market’s demand for GPUs to keep soaring. He pointed out that the AI industry is driven by a new type of industrial facility—facilities that produce the hardware that is an essential core infrastructure for the AI industry. Building, producing, and operating these facilities will inevitably create massive labor demand for society, just like other parts of the rapidly expanding AI industry chain.
Breaking the unemployment myth: AI boosts productivity instead of replacing workers
In the face of outside worries that AI will lead to large-scale unemployment, Huang made his position clear: “AI is a large-scale, industrial-grade jobs power generator.” When the moderator asked whether AI development moving too fast could lead to social disorder and increased inequality, Huang explained that many people confuse the “purpose of work” with “work tasks.” Even if AI can automate and take over certain specific individual tasks, the broader roles and core value employees play within corporate organizations still remain. He emphasized that AI’s main purpose is to improve productivity and accelerate scientific discovery—not to simply eliminate workers.
Jensen Huang: Overhyping the “AI doomsday” will hinder national development
Beyond economic impacts, Huang also laid out a blueprint for AI applications across various professional fields. He proposed an open-source AI “swarm” concept for cybersecurity, and expected real-time AI analysis to completely overturn medical diagnostic models. He also expressed concern about the United States’ hesitation toward AI development, arguing that overly exaggerated sci-fi doomsday stories have frightened the public, leading people to fear AI and even refuse to engage with it—something that could hinder the country’s leadership in that area. To this end, he strongly advocates for responsible AI development and calls for cross-national cooperation on international safety standards.
Will AI disrupt the economy? The job market still needs long-term validation
Although Huang downplays claims that AI has self-awareness or poses risks to human survival, debates in the market about AI’s long-term economic impact remain ongoing. Some critics argue that most doomsday talk actually originates from the AI industry itself—used as a gimmick to generate buzz and marketing heat, while its real capabilities often fall short of what is advertised.
In addition, although NVIDIA is confident about the job market that AI will drive, some authoritative financial and academic institutions are more conservative. They point out that in the coming years, as much as 15% of job opportunities in the United States could disappear due to the widespread adoption of AI. As for the long-term, tangible impact of AI on the overall economy and the labor market, it still requires more time and further market testing.