Perhaps contrary to those who argue the United States struggles to build, an AI construction boom is underway:

Many people believe that growth will only continue. “We’re gonna need stadiums full of electricians, heavy equipment operators, ironworkers, HVAC technicians,” Dwarkesh Patel and Romeo Dean, AI-industry analysts, wrote recently. Large-scale data-center build-outs may already be reshaping America’s energy systems. OpenAI has announced that it intends to build at least 30 gigawatts’ worth of data centers—more power than all of New England requires on even the hottest day—and CEO Sam Altman has said he’d eventually like to build a gigawatt of AI infrastructure every week. Other major tech firms have similar ambitions.
Listen to the AI crowd talk enough, and you’ll get a sense that we may be on the cusp of an infrastructure boom.
Throughout American history, growth is good. Construction is a sign of growth and provides jobs. A new industry is underway. Society is progressing. Data centers are all over the place (and will end up somewhere even if some communities do not all them). Americans are used to booming construction as this happened across housing and numerous industries throughout the country’s history.
What that growth might lead to is another matter. How do these data centers contribute to communities and landscapes? Do all the data centers in suburbs transform suburban life? When the growth slows, what happens then? Will the data centers still be there in 50 or 100 years or will they be vacant properties?
All this is a reminder that while many Americans will encounter AI through devices and data going through the air, it has a significant physical footprint. To power real-time AI responses to whatever we as users need requires buildings, land, resources.








