The AI jobs story isn’t only about what automation takes away. It’s also about what AI infrastructure has to build.
Across the country, data center construction is accelerating to support the compute demands of large AI models. That buildout requires physical workers, electricians, HVAC specialists, and construction crews, and the industry is short of them. CNBC reports that AI data center growth is driving demand for tradespeople at a pace the available workforce can’t match.
The pay reflects the shortage. Staffing firm Kelly’s data, cited by CNBC, shows specialized professionals moving into data center roles often see a 25% to 30% pay increase. Trade workers in this sector can earn more than $100,000, a figure that got notable attention when Jensen Huang https://fortune.com/2026/01/21/nvidia-ceo-jensen-huang-skilled-trade-job-boom-ai-construction-six-figure-salaries-plumbing-construction-electricans/ pointed to data center work as a path to six-figure income without a college degree.
A word on sourcing: the initial report on this trend comes from The Tech Buzz, a trade publication whose full article body wasn’t accessible during verification. The CNBC and Fortune coverage independently confirms the core trend and salary direction. No specific number of unfilled positions has been independently verified, “the industry faces a skilled labor shortage” is accurate; a precise headcount of open roles isn’t.
Some analysts have noted a counter-narrative here: that AI’s physical infrastructure demands may create blue-collar job demand even as AI tools pressure certain knowledge-worker roles. That framing is worth watching, not yet established as a defined finding. The Job Displacement Hub tracks the broader pattern.
The practical point for HR and workforce strategy teams: data center construction hiring is competitive and getting more so. Trade worker pipelines built for traditional construction may not align with the technical specialization data center roles require.