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News articleYahoo Finance· February 4, 2026

Stock market today: S&P 500, Nasdaq fall for 2nd day as tech slides on AI worries with Google earnings ahead

View original at finance.yahoo.com
Stock market today: S&P 500, Nasdaq fall for 2nd day as tech slides on AI worries with Google earnings ahead US stocks mostly fell on Wednesday as Wall Street assessed a fresh wave of earnings and waited for Alphabet (GOOG, GOOGL) results, eyeing the fallout from an AI-stoked slump in software and tech stocks…
Opening lines of the source · Yahoo Finance · short snapshot — read the full document at the original

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  • Data center orders at Eaton roughly tripled in Q4 over prior year

    80% confidence
  • Eli Lilly expanded manufacturing capacity and through US government agreement opened new access to obesity medicines

    80% confidence
  • Hyperscalers reconfirmed their capex plans for 2026 which supports Eaton's projects

    80% confidence
  • Treasury Secretary does not have authority to buy bitcoin or other cryptos and FSOC chair does not have that authority

    80% confidence
  • Kevin Warsh will likely follow the pattern FOMC has shown for years and let data tell him what's the right policy

    80% confidence
  • Bitcoin plummet could cascade into self-reinforcing death spiral that could hit companies with big bitcoin treasuries

    80% confidence
  • US economic growth in 2026 is likely to be front-loaded with Q1 at 2.6%, Q2 at 3%, Q3 and Q4 at 2%

    80% confidence
  • Job creation took a step back in 2025 with private employers adding 398,000 jobs down from 771,000 in 2024

    80% confidence
  • While seeing continuous and dramatic slowdown in job creation for past three years, wage growth has remained stable

    80% confidence
  • Multi-tenant and new cloud players are extremely active and these projects will take years to complete

    80% confidence
  • Eli Lilly reached millions more patients launching Inluriyo, expanding Mounjaro and Kisunla globally, and submitting orforglipron for approval

    80% confidence
  • Consumer stimulus from One Big Beautiful Act and government shutdown likely to boost Q1 growth by 0.5% to 1%

    80% confidence
  • January tends to be the largest net job loss month as seasonal hiring ahead of holidays unwinds

    80% confidence
  • Better-than-expected earnings are no longer enough to convince the market unless company can show AI will be tailwind rather than headwind

    80% confidence
  • Software stock sell-off has more room to run

    80% confidence

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What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Pharma Pipeline Catalysts and M&A Heat Up as AI-Designed Drugs Enter the Clinic
Late-September 2026 brought a dense run of clinical readouts: Novo Nordisk's CagriSema data at EASD, Lilly's ADtouch results for EBGLYSS, and Merck's tulisokibart Phase 2b result. Lilly's $2.9B Merida Biosciences acquisition and the 2026-11-14 FDA PDUFA date for ivonescimab sit alongside these as the main deal and regulatory events. AI-designed drugs such as rentosertib, and speculative AI-linked trial ventures such as QAIAx, are moving from hype toward clinical validation. Broader AI-sector regulatory and legal friction (Tesla Cybercab probe, xAI Minnesota ruling, OpenAI lawsuits) shows rising scrutiny that could spill into AI-driven healthcare.
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Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
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Where sources disagree
Apple Inc.
The observation date (2025-12-27) precedes Q1 2026, making it logically impossible to have actual Q1 2026 cash data at that point. Q1 2026 would not end until March 31, 2026. Additionally, the magnitude of the difference ($45.3B vs $132.42) is implausibly large even as a normal quarterly change for Apple. While different fiscal periods can show different values, the timing relationship here suggests a data integrity issue rather than legitimate period-over-period variation.
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