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Jensen Huang dispels the myth of AI unemployment: It will not eliminate workers, but will create a large number of new job opportunities
NVIDIA CEO Jensen Huang dismisses the “AI doomsday” narrative. He stresses that agentic AI will drive a thousandfold increase in demand for computing power, and says that AI is a “jobs engine” that can spur the U.S. to reindustrialize by boosting productivity.
NVIDIA CEO Jensen Huang recently attended the “Global Conference 2026” AI-era panel 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 expressed high optimism. He not only refuted the “AI doomsday” theory, but also directly stated that AI is an important engine for driving U.S. reindustrialization and creating job opportunities. In addition, he revealed that the next wave of “agentic AI” will fuel unprecedented GPU computing demand and an infrastructure boom.
Rise of Agentic AI! Will Drive GPU Computing Demand to Increase a Thousand Times
At the event, Huang emphasized that generative AI has already brought major changes worldwide, but that the “agentic AI” expected to come next will require processing capability 1,000 times greater than generative AI. This will cause the market’s demand for GPUs to keep surging. He pointed out that the AI industry is driven by a new type of industrial plant. The hardware produced by these facilities is a key foundation infrastructure that the AI industry cannot do without. In building, producing, and operating such facilities, society will inevitably see massive labor demand—just like other parts of the rapidly developing AI industry chain.
Breaking the Unemployment Myth: AI Improves Productivity, Not Replaces Workers
In the face of outside worries that AI will lead to large-scale unemployment, Huang made his position clear: “AI is an industrial-grade power generator that creates jobs at a large scale.” When the host asked whether AI development happening too quickly could lead to social disorder and worsening 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, employees’ broader roles and core value within corporate organizations still remain. He stressed that AI’s main purpose is to enhance productivity and accelerate scientific discovery—not simply to eliminate jobs.
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 expects real-time AI analysis to completely overturn medical diagnosis models. He also expressed concern about the U.S.’ hesitation toward AI development, believing that overly sensational sci-fi doomsday stories have frightened the public, causing people to fear—or even refuse—to engage with AI. This could hinder the country’s leadership in the field. To that end, he strongly advocates for responsible AI development and calls for cross-border cooperation on international safety standards.
Will AI Disrupt the Economy? The Job Market Still Needs Long-Term Testing
Although Huang has gone out of his way to downplay claims that AI has self-awareness or poses risks to human survival, debates in the market about AI’s long-term economic impact remain full of contention. Some critics argue that most doomsday rhetoric actually originates from the AI industry itself, used as gimmicks to manufacture hype and marketing attention—while its real capabilities often fall short of what is claimed.
In addition, although NVIDIA is confident about the job market being driven by AI, some forecasts from influential financial and academic institutions are more conservative. They note that in the coming years within the U.S., as many as 15% of jobs may disappear due to AI adoption. The long-term, concrete impact of AI on the overall economy and the labor market still needs to be further tested over time and validated by the market.