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Jensen Huang dispels the myth of AI unemployment: it will not eliminate workers, but will create numerous new job opportunities
NVIDIA CEO Jensen Huang dismisses “AI doomsday” theories. He emphasizes that agentic AI will drive a thousandfold increase in compute demand, and says AI is a job-creating “power plant,” capable of pushing the United States toward reindustrialization by boosting productivity.
Jensen Huang of NVIDIA recently attended the “Global Conference 2026” AI-Era panel hosted by the Milken Institute, a think tank focused on economic policy. In response to market concerns that artificial intelligence (AI) could trigger large-scale unemployment, Huang is highly optimistic. He not only rejects the “AI doomsday” narrative, but also directly states that AI is an important engine for driving U.S. reindustrialization and creating job opportunities. He also revealed that the next wave of “agentic AI” will spur unprecedented GPU compute demand and a surge in infrastructure investment.
Agentic AI is on the rise! It will drive a thousandfold surge in GPU compute demand
At the event, Huang stressed that generative AI has already brought major changes worldwide, but the “agentic AI” that comes next will require processing power 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 type of industrial facilities. The hardware produced by these facilities is key infrastructure that the AI industry cannot do without. The construction, production, and operations of these facilities will inevitably create massive labor demand for society—just like other parts of the rapidly growing AI industry chain.
Breaking the unemployment myth: AI boosts productivity, not replaces workers
In the face of public concerns that AI will cause large-scale unemployment, Huang made it clear: “AI is a large-scale, job-creating industrial-grade power generator.” When the host asked whether AI development happening too fast 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 exist. He emphasized that AI’s main purpose is to improve productivity and accelerate scientific discovery—not simply to eliminate workers.
Jensen Huang: Overhyping the “AI doomsday” will hinder national development
Beyond economic impacts, Huang also laid out a blueprint for AI’s applications across different professional fields. He proposed an open-source AI “swarm” concept for cybersecurity, and expects real-time AI analysis to completely upend medical diagnosis models. He also expressed concern about the United States’ hesitancy toward AI development, arguing that exaggerated 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 position 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 verification
Although Jensen Huang downplays claims that AI has self-awareness and poses risks to human survival, debates about AI’s long-term economic impact in the market remain ongoing. Some critics point out that much of the doomsday rhetoric 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 being advertised.
In addition, despite NVIDIA’s confidence that AI will drive the job market, some forecasts from authoritative financial and academic institutions are comparatively more conservative. They indicate that over the next few years, as much as 15% of jobs in the United States could be lost due to the spread of AI. The long-term real impact of AI on the overall economy and the labor market still requires more time—and further market observation—to confirm.