Jensen Huang: AI Infrastructure Will Create High-Paying Jobs Without a College Degree
NVIDIA CEO Jensen Huang stated that the construction of artificial intelligence infrastructure will create a large number of technical jobs that do not require a college degree.
During a dialogue with BlackRock CEO Larry Fink in Davos, he mentioned that the world is undergoing the largest infrastructure construction in human history, with high demand for electricians, plumbers, and steel structure workers. McKinsey estimates that the U.S. will need approximately 130,000 electricians and 240,000 construction workers from 2023 to 2030.
The rising demand for funding and labor related to infrastructure and manufacturing benefits skilled industrial workers and training institutions, while putting pressure on employment structures that rely on traditional entry-level white-collar jobs.
Source: Public Information
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Jensen Huang has long positioned AI as a multi-layered infrastructure (energy, chips, data centers, models, applications), previously emphasizing the reliance on physical skills during the construction phase. Historical trends show a direct link between GPU sales and global factory expansion, driving sustained demand for physical construction talent.
Capital is shifting from purely software and algorithm positions to support the physical infrastructure chain for AI factories, motivated by the fact that data centers, semiconductor plants, and cooling systems cannot be completed solely with code. This is reflected in the global expected investment of trillions of dollars in infrastructure, directly increasing the salaries and shortages of skilled blue-collar jobs such as electricians and construction workers.
Similar cases can be seen in the early internet and cloud computing expansion periods, where there was a surge in demand for fiber optic and data center construction workers. The current AI infrastructure sector is transitioning from proof of concept to large-scale physical deployment, with control concentrating in regions and training systems that can quickly supply skilled industrial workers.
Essentially, this is a restructuring of the industrial chain: the expansion of the AI software layer pulls demand for underlying physical construction, driven by the rigid requirements of model training and inference for power, cooling, and space, making traditional trade skills valuable production factors again.
ABAB News · Cognitive Law
- The largest wave of infrastructure will first hire craftsmen.
- The educational threshold and salary ceiling can be decoupled.
- The software revolution ultimately hits concrete.