Big Tech’s $630 billion AI spree now rivals Sweden’s economy, unsettling investors: ‘We’ve never invested this much on anything before’

Core Insights - Big Tech companies are significantly increasing their capital expenditures (capex) focused on AI infrastructure, with total spending projected to exceed $630 billion [2][3][6] Group 1: Capital Expenditure Projections - Alphabet plans to double its capex to nearly $185 billion by 2026 [2] - Amazon aims to allocate $200 billion to capex, surpassing Wall Street estimates [2] - Meta's full-year capex is expected to rise to as much as $135 billion [2] Group 2: Focus on AI Infrastructure - The majority of Big Tech's spending is concentrated on scaling AI compute rather than diversifying into various strategic investments [3] - Current AI infrastructure spending is comparable to the GDP of countries like Sweden and Israel, highlighting the scale of investment [4] Group 3: Historical Context and Demand - The current AI build-out is unprecedented in scale, with companies like Amazon, Meta, and Microsoft experiencing record demand backlogs [6] - Microsoft's backlog has doubled to $625 million, driven by demand from OpenAI [6] Group 4: Infrastructure Bottlenecks - The AI industry's bottleneck has shifted from chip shortages to a lack of physical infrastructure, indicating a need for more data centers [7] - Analysts suggest that future data center build-outs could occur in local areas, transforming existing structures into data centers [5]