Here’s a number worth sitting with: the five biggest tech companies on the planet are on track to spend somewhere between $600 billion and $725 billion on AI infrastructure in 2026 alone. That’s roughly a 77% jump from what they spent in 2025.
The numbers behind the AI arms race
The individual spending commitments are staggering even by Big Tech standards. Amazon leads the pack with roughly $200 billion earmarked for AI-related capital expenditures in 2026. Alphabet is targeting between $175 billion and $190 billion. Microsoft’s range sits at approximately $120 billion to $190 billion, while Meta has guided between $115 billion and $145 billion. Oracle rounds things out at around $50 billion.
Goldman Sachs has attempted to put the longer-term trajectory into perspective, projecting that cumulative hyperscaler capital expenditures could land between $5.3 trillion and $7.6 trillion from 2025 through 2030.
Q1 2026 capital expenditures for these firms reached a record $130 billion-plus combined.
Where the cuts are actually happening
Job cuts across the tech sector have continued through July 2026, with companies explicitly framing layoffs as a strategic reallocation toward AI investments.
Usage caps on AI tools like Anthropic’s Claude have emerged, suggesting that even within the AI ecosystem, companies are getting more selective about how they deploy resources.
The crypto angle nobody’s talking about
Decentralized computing networks reportedly offer savings of up to 75% compared to conventional cloud computing.
What this means for investors
Goldman Sachs’ projection of up to $7.6 trillion in cumulative spending through 2030 suggests that even if individual quarters show some moderation, the long-term trajectory remains aggressively upward.