PwC forecasts that cumulative global data center spending will hit $31.6 trillion by 2050 to satisfy the ever-growing demand for artificial intelligence, a scale of investment that would surpass historic infrastructure buildouts such as railroads, the internet, and electrification. The firm's report released Wednesday indicates that if AI adoption outpaces its baseline scenario, expenditures over the next quarter-century could climb as high as $50 trillion, a figure that dwarfs the current U.S. GDP of roughly $30 trillion.

As consumers, businesses, and governments increasingly embrace AI, technology giants like Microsoft and Amazon, along with smaller data center operators, are rapidly constructing new computing facilities around the globe. The bulk of this investment will be directed toward internal data center equipment, including AI chips, memory semiconductors, networking hardware, and servers.

In its inaugural Global Data Center Outlook, PwC projects the United States will attract nearly half of all related investments, totaling approximately $15.1 trillion, while the Asia-Pacific region is expected to draw $8.2 trillion, Europe $5.6 trillion, the Middle East $1.1 trillion, and Africa around $255 billion. On an annual basis, the consultancy estimates global data center spending will reach about $800 billion this year, rise to $1.1 trillion by 2030, and ultimately hit $1.8 trillion in 2050.

China and India are poised to contribute the largest share of new demand, driven by their massive populations, rapidly expanding digital economies, and the still-substantial headroom for AI penetration in both enterprise and consumer activities. Meanwhile, the tech sector is grappling with intensifying opposition to data center development, with research firm Data Center Watch reporting that at least 75 projects totaling roughly $130 billion in investment were blocked or delayed in the first three months of this year due to local pushback, largely over environmental concerns, resource consumption, and the potential impact of AI on employment and society.