Huang Renxun's latest statement: AI requires trillions of dollars in infrastructure, which will not steal jobs but instead create a large number of high-paying positions.

March 11 News, NVIDIA founder Jensen Huang recently stated that the development of artificial intelligence will not lead to large-scale job replacement as some markets fear. Instead, the massive infrastructure needed to build and maintain AI will create numerous new job opportunities. Huang pointed out that AI is gradually becoming an essential infrastructure similar to electricity and the internet, with supporting industries such as chip manufacturing, data center construction, and network system deployment forming a global investment worth trillions of dollars.

In his latest blog post, Huang emphasized that current global investments in AI infrastructure have reached hundreds of billions of dollars, but there are still trillions of dollars worth of projects that have yet to start. These projects require a large number of technical and engineering roles, including electricians, plumbers, steelworkers, network engineers, and data center operators. He believes these positions are not only highly technical but also offer high salaries, with market demand still significantly exceeding supply.

As a key supplier of AI computing hardware, NVIDIA has become a major beneficiary of this wave of AI development. Since OpenAI launched ChatGPT in 2023, global companies have accelerated their AI deployment, leading to continuous growth in demand for NVIDIA chips. The company’s stock price has increased by over 1300% since then.

Huang also likened the AI ecosystem to a “five-layer cake,” including energy supply, AI chips, infrastructure platforms, AI models, and end-user applications. He pointed out that unlike traditional software, which relies on fixed instructions, AI depends on real-time reasoning and content generation, requiring many existing infrastructures to be redesigned and rebuilt.

However, amid the rapid growth of AI investments, some companies are also using AI to improve efficiency and reduce jobs. This year, several firms announced layoffs. For example, Block laid off about 40% of its staff, with co-founder Jack Dorsey attributing some of the adjustments to increased efficiency from AI applications. Meanwhile, Pinterest and DOW Chemical also announced layoffs, totaling over 5,000 employees.

Goldman Sachs analysts noted that while job losses due to AI do exist, the overall scale remains moderate. The report predicts that the U.S. unemployment rate may rise slightly from the current approximately 4.4% to 4.5% by the end of this year. In this context, investments in AI infrastructure, data center construction, and related technical roles could become significant sources of employment growth in the coming years.