Tech Earnings: Google’s Spending, Arm’s AI Data Center Push | Bloomberg Tech 2/5/2026
TL;DR
Tech markets are experiencing their sharpest correction since 2024 as Alphabet's $185 billion CapEx forecast signals the end of Big Tech's free cash flow era, while Arm CEO reveals data center dominance is accelerating and crypto crashes below $70,000.
📉 Market Selloff & Risk Rotation 3 insights
Software stocks hit record oversold levels
Software names plunged 15% this week and 29% from September peaks, with over 70% of stocks now technically oversold—an all-time high.
Correction broadens beyond tech
The selloff spread from software to the Dow Jones and S&P 500 equal weight, ending the rotation trade and indicating systemic risk-off sentiment.
Crypto winter accelerates
Bitcoin crashed below $68,000 to its lowest since November 2024, down 45% from October highs, forcing Gemini to cut 25% of staff.
💰 Big Tech's Infrastructure Splurge 3 insights
Alphabet shocks with $185B CapEx forecast
Google's 2026 capital expenditure guidance of $185 billion crushed consensus estimates of $120 billion, sending shares down 5% as free cash flow evaporates.
Strong cloud growth ignored by investors
Despite Google Cloud revenue accelerating to 48% growth, markets fixated on spending, mirroring Microsoft's punishment for Azure's minor miss.
Amazon faces earnings anxiety
Amazon shares fell 4% ahead of earnings as investors brace for potential capital expenditure guidance exceeding $125 billion.
🖥️ Arm's Data Center Transformation 3 insights
Data center dominance coming sooner
Arm CEO Rene Haas stated data center royalties growing over 100% year-over-year will become their largest business segment within a few years, ahead of prior expectations.
NVIDIA partnership deepens significantly
Arm architecture powers NVIDIA's new Vera Rubin platform with 6x more CPU cores than Grace Blackwell, cementing Arm's role as AI infrastructure standard.
Immune to memory shortage impacts
Unlike smartphone peers, Arm faces minimal impact from memory constraints as high-end data center chips and hyperscaler adoption drive higher royalty rates.
⚖️ AI Enterprise Limitations 2 insights
Legal AI lacks critical data access
Anthropic's Claude and generic AI tools cannot access proprietary legal databases and decades of curated case law that protect incumbents Westlaw and LexisNexis.
Hallucination risks block adoption
Without specialized legal expertise and human verification, AI tools risk dangerous errors in a field where precedent often defies algorithmic logic.
Bottom Line
Investors must recalibrate tech valuations for a multi-year period where massive AI infrastructure spending supersedes free cash flow returns, favoring companies like Arm that monetize the build-out over those merely funding it.
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