Microsoft, Amazon, and Google add $1.5T as AI capex boosts tech stocks—crypto watch Nasdaq

Published: 2026-07-31 20:17:37 |

Microsoft, Amazon and Alphabet (Google) gained nearly $1.5T in market cap within five trading days, lifting Alphabet to about $4.3T, Microsoft to ~$2.8T and Amazon to ~$2.5T. The rally is tied to an AI infrastructure spending cycle. The four largest hyperscalers, including Meta, guided for total 2026 capital expenditures (capex) of $725B—up 77% year over year. This trend is volatile. In February 2026, Alphabet, Microsoft, Amazon and Meta collectively lost over $1T after earnings, as investors worried AI spending would outpace revenue generation. Even so, the combined market cap of these firms (~$9.6T) now exceeds the GDP of every country except the US and China. Crypto traders should note the likely spillover from risk-on equity moves. When capital appetite lifts Nasdaq and mega-cap tech, Bitcoin often trades with higher beta and can fall during risk-off reversals. The article also highlights a fundamental gap: hyperscaler capex still far exceeds decentralized AI network revenue. For AI-adjacent crypto tokens, narratives may sustain rallies, but fundamentals and monetization remain key—especially if the AI trade cools.

Bullish

Mega-cap tech adding ~$1.5T in market cap on AI capex optimism is typically a risk-on signal. Historically, when Nasdaq and large-cap tech rally strongly, Bitcoin often shows higher correlation (the article notes BTC’s well-documented link to Nasdaq in selloffs). That suggests traders may keep positioning in majors during supportive equity flows, supporting near-term sentiment. However, the February 2026 episode shows this theme can flip fast when investors conclude AI spending is outpacing revenue. So the bullish bias is more about short-term liquidity/risk appetite than long-term “fundamental” improvement for AI tokens. If equities reverse or earnings disappoint, crypto—especially AI-narrative tokens—can underperform quickly. Overall: supportive for majors in the short term, but expect volatility around AI earnings/capex guidance and macro risk sentiment.