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AI data center spending projected to reach $32 trillion by 2050, PwC says
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AI data center spending projected to reach $32 trillion by 2050, PwC says

Sep 1, 2026

Global spending on AI data centers is projected to reach an unprecedented $31.6 trillion by 2050, with the U.S. accounting for 48% of the total. This massive build-out is triggering severe supply chain bottlenecks, with grid connection delays stretching up to eight years. It is also fueling intense public opposition, as a May 2026 Gallup poll shows 70% of Americans oppose local data centers due to heavy water and electricity demands.

AI data center spending projections

  • ▪The United States is projected to account for $15.1 trillion, or 48 percent, of the estimated $31.6 trillion in global artificial intelligence infrastructure spending through 2050.
  • ▪U.S. Census Bureau data released in September 2026 showed that construction spending on data center shells rose to an annualized pace of over $75 billion in July 2026.
  • ▪The Asia-Pacific region, led by China and India, is projected to spend $8.2 trillion on artificial intelligence infrastructure through 2050, followed by Europe at $5.6 trillion.
  • ▪McKinsey projects that global investment in data centers could reach nearly $7 trillion by 2030.
  • ▪PricewaterhouseCoopers LLP estimates that global spending on artificial intelligence data centers could reach $31.6 trillion through 2050 in its central scenario.

Power infrastructure supply constraints

  • ▪Connecting new data centers to the power grid can face delays of up to 24 months in emerging markets and over eight years in major developed countries.
  • ▪Goldman Sachs Research forecasts that U.S. data center power demand will more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027.
  • ▪The order backlog for transformer manufacturer HD Hyundai Electric grew 23 percent in the first half of 2026 to $8.5 billion, driven by data center demand.
  • ▪A turbine shortage has prompted SpaceX to start in-house turbine blade manufacturing to reduce delivery delays for its gas-powered generators by up to 18 months.

GPU replacement cycles

  • ▪Equipment is projected to represent 93 percent of data center capital expenditure by 2050, up from approximately 70 percent in 2026.
  • ▪A Google architect stated that the expected service life of a data center graphics processing unit is only one to three years.
  • ▪Data center operators are expected to replace graphics processing units and related infrastructure every four to six years due to rapid technological obsolescence.

Public opposition to data centers

  • ▪Residents in Hood County, Texas, have actively opposed multiple proposed data center projects over concerns regarding local water and land use.
  • ▪A May 2026 Gallup poll found that seven in 10 Americans oppose the construction of artificial intelligence data centers in their local areas.
  • ▪Student activists from the Sunrise Movement protested at the Washington lobbying offices of OpenAI in August 2026, citing threats to jobs and clean drinking water.

Environmental impact debate

  • ▪Ted Nordhaus of the Breakthrough Institute argues that surging data center power demand creates an economic incentive to commercialize clean-energy technologies like advanced nuclear and geothermal energy.
  • ▪The Environmental Integrity Project identified 74 proposed natural gas-fired power plants nationwide to supply data centers, including 32 planned in Texas.
  • ▪The Houston Advanced Research Center estimates that Texas data centers could consume between 29 billion and 161 billion gallons of water annually by 2030.

8 sources

News
AI Data Center Spending to Reach $32 Trillion by 2050, PwC Says
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Cbsnews
What are data centers? How AI is driving massive growth, energy demand and community pushback
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Thenextweb
PwC projects that the global investment in AI infrastructure will reach $31.6 trillion by 2050
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Mezha
AI Data Center Boom Sends Transformer and Liquid Cooling Demand Soaring
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Tomshardware
AI data center investment projected to hit $32 trillion by 2050 — infrastructure spending estimated to exceed capital requirements for railways, electrification, or the internet
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