Key Points
Data centers will employ 1,500 construction workers per facility at $100,000+ salaries without college degrees.
McKinsey forecasts need for 130,000 electricians, 240,000 laborers, 150,000 supervisors by 2030.
Global data center spending projected to hit $7 trillion by decade's end.
Construction unions partnered with Microsoft and OpenAI to train crews for AI facility buildout.
Nvidia CEO Jensen Huang predicts the global push to build AI data centers will unlock hundreds of thousands of six-figure jobs in construction and skilled trades. Speaking at the World Economic Forum in January, Huang called it the largest infrastructure buildout in human history, requiring 130,000 electricians, 240,000 construction laborers, and 150,000 supervisors in the U.S. alone by 2030. The $7 trillion in capital spending will reshape job markets away from white-collar tech roles toward hands-on work.
The scale of the buildout
Tech giants are racing to construct sprawling data centers, with global capital outlays projected to reach $7 trillion by the end of the decade. A single 250,000-square-foot facility can employ up to 1,500 construction workers during its build-out, many earning more than $100,000 plus overtime without requiring a college degree. Once complete, each facility maintains about 50 full-time workers, and each job spurs another 3.5 in the surrounding economy. Data center construction spending is forecast to rise 23% in 2026 alone.
The skilled trades shortage
Huang told BlackRock CEO Larry Fink at Davos that the world faces critical shortages in electricians, plumbers, steelworkers, and construction supervisors. McKinsey estimates the U.S. needs an additional 130,000 trained electricians, 240,000 construction laborers, and 150,000 construction supervisors between 2023 and 2030. Huang emphasized that high salaries have doubled in some areas, making trades viable careers without advanced degrees. He stated: “Everybody should be able to make a great living. You don’t need to have a PhD in computer science to do so.”
Construction unions embrace the opportunity
Construction unions have become Big Tech’s strongest allies in data center development, contrasting sharply with public opposition. North America’s Building Trades Unions, an alliance of 14 major construction unions, has partnered with Microsoft and OpenAI to train crews for AI data center construction. Michael Langone, business manager of Plumbers and Pipefitters Local 104 in Holyoke, called a proposed $4 billion data center project “an absolute game-changer” that would create thousands of construction jobs. The IBEW and United Association have launched letter-writing campaigns urging politicians to support data center projects.
Contrast with other CEO warnings
Huang’s optimism diverges from warnings by other tech leaders. Ford CEO Jim Farley has cautioned that AI is hollowing out traditional white-collar entry points, particularly as education systems continue funneling students toward four-year degrees. Huang countered in 2025 that the skilled craft segment will boom, requiring workers to “double and double and double every single year.” His vision prioritizes physical infrastructure and hands-on work over software engineering roles that once dominated tech hiring.
Final Thoughts
Huang’s forecast signals a major shift in where high-paying jobs will emerge as AI infrastructure expands. With Meyka grading NVDA a B+ and analyst consensus at strong buy, the company stands to benefit directly from this buildout cycle.
FAQs
Data center construction spending is forecast to rise 23% in 2026. A single facility can employ up to 1,500 workers during construction, many earning over $100,000.
McKinsey estimates the U.S. needs 130,000 additional trained electricians, 240,000 construction laborers, and 150,000 construction supervisors between 2023 and 2030.
No. Many roles pay over $100,000 without requiring a college degree, according to Huang and construction industry data cited in reports.
North America’s Building Trades Unions, the IBEW, and the United Association plumbers union support data center projects and have partnered with Microsoft and OpenAI to train workers.
Disclaimer:
The content shared by Meyka AI PTY LTD is solely for research and informational purposes. Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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