"The U.S. is in the middle of a digital infrastructure revolution. Artificial intelligence, cloud computing, and edge technologies are transforming industries and redefining what's possible, from national security to personalized medicine. But as AI headlines focus on coders and cutting-edge tech, the real story is unfolding in workshops and job sites where skilled workers are making innovation physically possible. Unlike the dot-com boom or the mobile era, this AI-driven transformation isn't just about servers and software."
"It's here, it's scaling, and it's accelerating the need for purpose-built facilities that can handle the load. The rise in generative AI and machine learning workloads has triggered unprecedented demand for data center capacity across the U.S. According to a 2024 report from McKinsey & Company, U.S. data center power demand is expected to more than triple by 2030-from 25 gigawatts in 2024 to more than 80 gigawatts[DA1] [KG2] - underscoring the urgent need to expand our physical infrastructure and the skilled workforce behind it."
Artificial intelligence, cloud computing, and edge technologies are driving a U.S. digital infrastructure revolution that affects national security and medicine. Physical infrastructure—concrete, steel, cables, power, and cooling—forms the backbone of scalable computing. Generative AI and machine learning workloads are creating unprecedented demand for hyperscale data centers and edge facilities. McKinsey projects U.S. data center power demand to rise from 25 gigawatts in 2024 to over 80 gigawatts by 2030. Each facility requires coordinated electricians, welders, fiber installers, HVAC technicians, and other tradespeople. Tripling power demand in six years creates a labor and infrastructure mandate for skilled "new-collar" workers.
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