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McKinsey's latest forecast:
By 2030, AI data center capital expenditures will reach $5.2 trillion. Among them, IT equipment $3.3 trillion, data center infrastructure $1.6 trillion, power generation-related $300 billion.
Three scenarios: baseline adds 125 gigawatts of capacity (about 125 nuclear reactors); accelerated scenario's total expenditure rises to $7.9 trillion, adding 205 gigawatts; constrained scenario is $3.7 trillion, adding 78 gigawatts.
Driving factors: large-scale adoption of generative AI, cross-industry enterprise integration, competition among tech giants, government infrastructure investment. Only Amazon, Google, Microsoft, and Meta together will have approximately $650 billion in capital expenditures by 2026.
The scale of AI construction is unprecedented, with electricity demand reaching massive levels.