Nvidia CEO Jensen Huang Says Some Jobs Will Be Obsolete

Summary
Nvidia CEO Jensen Huang believes AI will make some jobs obsolete but create many new ones, aligning with research like the WEF's forecast of 170 million new roles by 2030 despite 92 million redundancies. His view counters some estimates of massive job losses. Huang's perspective is significant as Nvidia powers much of the AI industry. The debate is ongoing, but the trend points to significant workforce transformation and the emergence of new job categories.
Nvidia CEO Jensen Huang on AI's Impact: Job Disruption and Creation
Jensen Huang, the visionary CEO of Nvidia Corp. (NASDAQ: NVDA), a company at the forefront of the artificial intelligence revolution, recently weighed in on a critical debate: the future impact of AI on the global workforce. In an interview with Fortune, Huang articulated a nuanced perspective, stating, “Some jobs will be obsolete, but many jobs are going to be created. … Whenever companies are more productive, they hire more people.”
This statement places Huang squarely in the middle of a complex and often contentious discussion about AI's potential to both displace and generate employment. While some forecasts predict significant job losses due to automation, Huang's view emphasizes the potential for productivity gains to fuel economic growth and, consequently, job creation.
The Dual Nature of AI's Impact
The debate surrounding AI's impact on jobs is multifaceted. On one hand, the increasing sophistication of AI technologies allows for the automation of tasks previously performed by humans. This is particularly evident in areas like data entry, customer service, and even certain aspects of creative work.
Estimates vary widely, but some reports suggest that millions of jobs could be affected by AI-driven automation in the coming years. A notable projection comes from Goldman Sachs. Their research report, titled “The Potentially Large Effects of Artificial Intelligence on Economic Growth,” analyzed a broad spectrum of jobs globally. The report concluded, “Extrapolating our estimates globally suggests that generative AI could expose the equivalent of 300mn full-time jobs to automation.”
Evidence of this shift is already emerging across various industries. AI programs are increasingly capable of writing software code, assisting legal professionals with research and drafting, and even contributing to medical research by analyzing vast datasets.
However, Huang's perspective highlights the other side of the coin: the creation of new jobs. As AI enhances productivity and enables new capabilities, it also creates demand for roles related to AI development, implementation, maintenance, and ethical oversight. New industries and business models built around AI are also expected to emerge, generating entirely new categories of employment.
Insights from Global Research
Supporting the idea of job creation alongside displacement, the World Economic Forum's (WEF) “Future of Jobs Report 2025” provides valuable insights. This comprehensive study examined 1,000 companies across 22 industries and 55 economies, collectively employing over 14 million people.
The WEF report, as highlighted by Sustainability magazine, anticipates a significant transformation by 2030. It projects that “AI and other information processing technologies will transform 86% of businesses, sparking the creation of 170 million new roles worldwide while making 92 million existing jobs redundant.” This suggests a net positive impact on global employment, albeit with significant shifts in the types of jobs available.
The report also delved into which sectors are likely to be most affected. While automation will touch many areas, fields like engineering are expected to see growth, indicating a shift towards roles requiring higher-level cognitive skills and technical expertise.
Market Context and Investment Implications
Huang's opinion carries significant weight given Nvidia's central role in powering the AI revolution. The company's advanced chips are the foundational technology for many of the world's largest tech companies, including Microsoft, Amazon, and OpenAI, which are driving rapid advancements in AI.
While AI promises increased productivity, it's important to note that this can sometimes lead to workforce adjustments in the short term. For example, Microsoft has announced job cuts, citing increased productivity in certain areas due to AI integration.
For investors, Huang's comments underscore the transformative potential of AI and the continued importance of companies like Nvidia. The debate about AI's long-term impact on the workforce is still in its nascent stages, and predicting the precise outcome is challenging. However, the consensus among many experts and reports like the WEF's suggests a future where AI is deeply integrated into the economy, leading to both job displacement and significant job creation in new areas.
Investors should consider the following:
- Long-term Growth Potential: Companies enabling AI, like Nvidia, are positioned for continued growth as AI adoption accelerates across industries.
- Sector Shifts: Be aware of potential shifts in labor demand across different sectors. Industries embracing AI effectively may see increased productivity and potentially new job opportunities.
- Adaptability is Key: The future workforce will likely require greater adaptability and continuous learning to thrive in an AI-driven economy.
While Huang, despite his deep knowledge of AI, acknowledges the difficulty of making precise forecasts, his perspective aligns with research suggesting that while some jobs will become obsolete, the overall economic impact could include substantial job creation in new and evolving fields.