Analysis of GOOG After-Hours Rise & Meta's Consideration of Google TPUs

#GOOG #META #NVDA #AI chips #TPU #market analysis #risk assessment #after-hours trading
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US Stock
November 27, 2025

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Analysis of GOOG After-Hours Rise & Meta's Consideration of Google TPUs

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Integrated Analysis

On November 24, 2025, GOOG shares rose ~2% in after-hours trading to $327 following unconfirmed Reddit reports that Meta is considering deploying Google’s TPUs in its data centers [1]. This development comes amid GOOG’s 29.91% rally from September 15 to November 24, driven by the successful launch of Gemini 3 [0]. NVDA shares fell ~2.05% in after-hours as the report suggests potential competition to its GPU dominance [0]. Market cap data shows NVDA ($4.39T) remains larger than GOOG ($3.87T) as of November 26 [0].

Key Insights
  1. AI Chip Competition
    : Google’s TPUs are emerging as a viable alternative to NVDA’s GPUs, with Meta’s potential adoption signaling a shift in the AI chip landscape [5].
  2. Cost Savings for Meta
    : Deploying TPUs could lead to significant cost reductions for Meta, boosting its EPS if confirmed [1].
  3. GOOG Overextension Risk
    : The rapid 29.91% rise in GOOG shares over two months may lead to volatility if the Meta deal does not materialize [0].
Risks & Opportunities
  • Risks
    :
    • Unconfirmed nature of the Meta TPU report could trigger corrections in GOOG’s overextended price [0].
    • NVDA faces increased competition from Google’s TPUs, potentially impacting its market share [5].
  • Opportunities
    :
    • GOOG could expand its AI chip market share if Meta and other companies adopt TPUs [0].
    • Meta may achieve cost efficiency by diversifying its AI chip suppliers [1].
Key Information Summary
  • GOOG’s performance: +29.91% from Sep 15 to Nov 24 (open: $245.14, close: $318.47) [0].
  • Market caps: GOOG ($3.87T), NVDA ($4.39T), META ($1.60T) [0].
  • Daily volatility for GOOG: 1.88% [0].
  • The Meta TPU report remains unconfirmed and requires official verification [1].
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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.