Federal Reserve (FED) · Bitcoin · Wall Street · CryptoSlate
AI’s $800 billion spending boom is becoming Bitcoin’s Fed problem
Compiled by KHAO Editorial — aggregated from 2 sources. See llms.txt for citation guidance.
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For the better part of two years, Wall Street has treated AI as the most bullish trade on the board, a growth engine that turbocharges earnings, underwrites stretched valuations, and promises a productivity windfall somewhere down the road.
Key facts
- Goldman described this as a wave that reaches across servers, semiconductors, memory, power infrastructure, data centers, software, and research budgets, and the bank's longer-range model traces
- Goldman Sachs now expects AI-related capital spending to approach $800 billion in 2026, and it calculates that the surge will lift its full-year business investment forecast to 7.8% while adding
- The repricing has bled into spot prices, with Bitcoin sliding to around $63,600 by June 4 after briefly breaking below $62,000, roughly half its October 2025 record and down more than 13%
- TrendForce, tracking the nine largest cloud providers in the world, places their combined 2026 outlay near $830 billion, a jump of about 79% over the previous year
Summary
01 AI capital spending could reach $800 billion in 2026, with cloud providers and data centers driving the surge. 02 That demand may lift prices for power, chips, labor, and equipment, giving the Fed more reason to keep rates unchanged. 03 Bitcoin's rate-cut bet now hinges on whether AI inflation fades before the Fed's June meeting and loosens liquidity. However, the Fed has access to the same numbers and seems to be more inclined to treat the AI build-out as a fresh source of demand in a market that's still fighting to drag inflation back toward its 2% target.