Nvidia CEO Jen-Hsun Huang: AI is creating a lot of jobs and is the best opportunity for re-industrialization in the United States

Nvidia CEO Jensen Huang said in a Milken Institute conversation that AI is creating a lot of jobs rather than destroying them, and criticized the AI industry's "doomsday theory." Institutions such as Goldman Sachs predict that 15% of jobs are at risk, and the collision of views from the two parties provides key signals for understanding the impact of AI on employment.

Core conclusion

Nvidia CEO Jensen Huang made it clear in a dialogue hosted by the Milken Institute: AI is not a job killer, but an industrial-grade engine that "creates a lot of jobs." He believes that AI is the best opportunity for "re-industrialization" in the United States, and criticized the "doomsday theory" rhetoric popular within the AI industry. However, authoritative organizations such as Goldman Sachs predict that AI will cause about 15% of jobs in the United States to be eliminated in the next few years. The collision of the two views provides a key signal for our understanding of career strategies in the AI era.

Key Points

Date of event: May 4, 2026 (Milken Institute conversation)
Posted by: Nvidia CEO Jensen Huang
Core argument: AI creates jobs > eliminates jobs, automates tasks ≠ replaces entire jobs
Countering data: Goldman Sachs and others predict 15% of jobs will be replaced by AI
Key suggestion: Don’t be scared by the “AI doomsday theory” and focus on improving your tool application capabilities

Background and events

On the evening of May 4, Jensen Huang systematically elaborated on his views on the relationship between AI and employment in a conversation with economic program host Becky Quick at the Milken Institute. This conversation takes place against the backdrop of rising anxiety in the U.S. labor market about AI replacement—a new Gallup survey shows that more than 60% of U.S. workers are worried that AI will affect their jobs.

Huang maintained an upbeat tone throughout the conversation. He said: "AI is creating jobs" and further pointed out that "AI is the best opportunity for reindustrialization in the United States." Regarding the statement that "AI will eliminate human jobs," Huang countered that people who hold this view "misunderstand the purpose of work-just because a specific task is automated, it does not mean that the entire position will be replaced."

Key Impact (by Dimension)

Dimensions	Change	What it means to the individual	Suggested actions
Employment structure	Task-level automation rather than job-level replacement	The risk of single-skill positions increases, and the value of composite skills increases	Learn to use AI tools and superimpose industry expertise
Production costs	AI reduces business operating costs by 30-50%	Small and medium-sized teams can use AI to compete with large companies	Use n8n + AI to build automated workflows to reduce human dependence
New careers	AI has spawned new positions such as prompt engineering, AI auditing, and model fine-tuning	First mover dividends are obvious, and demand is growing faster than supply	Master the operation of tools such as Claude Code/DeepSeek
Globalization	AI makes remote work and cross-border collaboration more efficient	Global talent competition intensifies	Establish a "human + AI" collaboration method to improve output efficiency
Technical threshold	AI Agent lowers the threshold for programming and content production	People with non-technical backgrounds can also enter the technology field	Use AI Agent from scratch to start a side job

Jensen Huang’s specific point

Huang reiterated several key positions during the conversation:

Criticism of AI doomsday: Huang bluntly stated that "the biggest worry is scaring everyone - the people we are supposed to help." He noted that "doomsday" rhetoric within the AI industry is viewed by critics as a marketing gimmick - used to generate buzz for products that fall far short of their claimed capabilities.

Automation ≠ Replacement: "Someone said that AI will eliminate all jobs in five years? That just means they don't understand the purpose of work." Huang used Nvidia itself as an example to illustrate how AI can help existing employees become more efficient rather than being replaced.

Reindustrialization Opportunities: Huang believes that AI can help the United States rebuild its manufacturing base. Through AI-driven automation, manufacturing can return to developed countries and create new high-skilled jobs.

Nvidia CEO Jensen Huang speaking at a conference about AI and future jobs

Opposing perspective: 15% of jobs are at risk

Despite Huang's optimism, reports from authoritative organizations such as Goldman Sachs and McKinsey have given more cautious predictions:

Goldman Sachs (2025): Generative AI may put approximately 15% of U.S. jobs at risk of automation
McKinsey Global Institute (2024): AI may impact approximately 400 million jobs worldwide by 2030 (replacement + transformation)
Pew Research (2025): 52% of U.S. adults say they are "more worried" rather than "more excited" about the use of AI in the workplace

These data do not contradict Huang's optimistic judgment - the key difference is: Look at substitution in the short term, and look at creation in the long term. Historically, from the Industrial Revolution to the Internet era, technology did eliminate old jobs, but ultimately created more new ones.

Adaptation suggestions

Coping strategies at the individual level

Take AI tool operation as a core skill: learn to use Claude Code, ChatGPT, n8n and other tools
Superimposed industry expertise: AI + industry knowledge = irreplaceable compound competitiveness
Verify the AI monetization model starting from side business and reduce the risk of full-time transition
Establish automated workflow: Use n8n + AI to build a personal assistant system to free up time for high-value work

Response suggestions at the enterprise level

Think of AI deployment as a "human-machine collaboration" upgrade rather than a simple reduction in staff
Establish an AI skills training system to help existing employees transform rather than lay off
Use AI Agent to handle repetitive tasks and unleash team creativity
Track the latest developments in AI tools (such as Claude Code, DeepSeek V4, Agent Skills) and maintain technical sensitivity

Example: Automate daily tasks with AI Agent

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