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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 calls AI a “job-creating power plant” that can push the United States toward reindustrialization by boosting productivity.
NVIDIA CEO Jensen Huang recently attended the “Global Conference 2026” AI-era panel discussion hosted by the Milken Institute, a think tank for economic policy. In response to market concerns that artificial intelligence (AI) could trigger large-scale unemployment, Huang remains highly optimistic. He not only refutes the “AI doomsday” theory, but also directly states that AI is an important engine for driving U.S. reindustrialization and creating job opportunities. In addition, he also revealed that the next wave of “agentic AI” will drive unprecedented demand for GPU computing as well as a surge in infrastructure investment.
Rise of Agentic AI! Will Drive GPU Computing Demand to Increase a Thousand Times
At the event, Huang stressed that generative AI has already brought major changes worldwide, but the next phase—“agentic AI”—will require processing capability 1,000 times greater than generative AI. This will cause the market’s demand for GPUs to keep soaring. He noted that the AI industry is driven by a new kind of industrial plants, and the hardware produced by these plants is key infrastructure that is indispensable to the AI industry. In building, producing, and operating these facilities, massive labor demand will inevitably be generated for society, just like other segments in the booming AI industry chain.
Breaking the Unemployment Myth: AI Boosts Productivity, Not Replacing Workers
In the face of external worries that AI will cause large-scale unemployment, Huang made his position clear: “AI is a large-scale industrial generator of jobs.” When the host 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 that employees play within corporate organizations still exist. He emphasized that AI’s main purpose is to enhance productivity and accelerate scientific discovery, not simply to eliminate workers.
Huang Jensen: 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 that real-time AI analysis will completely overturn medical diagnostic models. He also expressed concern about the United States’ hesitancy toward AI development, saying that exaggerated sci-fi doomsday stories have frightened the public, leading people to fear—even refuse—to engage with AI, which could hinder the country’s leadership in that field. To address this, he strongly advocates for responsible AI development and calls for cross-country cooperation on international safety standards.
Will AI Disrupt the Economy? The Job Market Still Needs Long-Term Testing
Although Huang goes to great lengths to downplay claims that AI has self-awareness and poses risks to human survival, debates in the market about AI’s long-term economic impact remain full of contention. Critics point out that much of the “doomsday” rhetoric actually comes from the AI industry itself and is used as a gimmick to manufacture buzz and marketing heat, while its real capabilities often fall short of what is promoted.
Moreover, although NVIDIA is confident about the job market driven by AI, some authoritative financial and academic institutions are relatively more conservative. They indicate that in the coming few years in the United States, as much as 15% of jobs may disappear due to the spread of AI. The long-term, tangible impact of AI on the overall economy and labor market still needs to be further tested over time and validated by the market.