Jensen Huang: AI infrastructure investment will create a large number of six-figure-paying technical positions.

NVIDIA CEO Jensen Huang said the wave of AI infrastructure development will not only drive growth in the software sector, but also create numerous high-paying technical jobs that do not require a college degree. Speaking in a conversation with BlackRock CEO Larry Fink at the World Economic Forum in Davos, Huang noted that the world is undertaking "the largest infrastructure build in human history," with large-scale construction of AI data centers, semiconductor factories, and AI facilities set to generate massive employment opportunities. He pointed out that future high-paying roles will not only include software engineers and computer scientists, but also electricians, plumbers, steelworkers, and data center construction and maintenance personnel. "You don’t need a computer science PhD to earn a good income," he said. Global tech firms are projected to invest around $7 trillion in AI infrastructure by the end of this decade. As data centers and semiconductor facilities expand rapidly, demand for skilled industrial workers is rising steadily. McKinsey data shows that between 2023 and 2030, the U.S. will need an additional roughly 130,000 trained electricians, 240,000 construction workers, and 150,000 construction supervisors to meet infrastructure build requirements. Meanwhile, the impact of AI on traditional white-collar job markets has drawn attention. Ford CEO Jim Farley noted that AI is reducing demand for entry-level roles at tech companies, but the U.S. manufacturing and construction sectors still face severe labor shortages. Farley added that the U.S. is currently grappling with a major shortage of factory and construction workers, and future AI-driven reshoring of manufacturing and infrastructure investments will require more skilled industrial talent. BlackRock CEO Larry Fink has previously emphasized that skilled technical workers like electricians are critical for building and operating large AI data centers.