Meta's Potential Google TPU Adoption: Market Impact on GOOG, META, and NVDA

Meta Platforms (META) is negotiating to deploy Google’s Tensor Processing Units (TPUs) starting in 2027, a move that challenges NVIDIA’s (NVDA) AI chip dominance [1]. GOOG shares rose ~2% in after-hours trading on November 24, 2025, while NVDA fell ~2.05% AH [2]. GOOG has rallied ~52% since mid-September due to Gemini 3’s reception, with NVDA maintaining a $520B market cap lead over GOOG [0]. The deal’s timeline (2027 deployment) and potential billions in spending highlight Google’s TPU credibility [5]. Meta’s interest in TPUs stems from cost savings, which could boost EPS [2].

• Cross-Domain Validation
  : Meta’s consideration of TPUs validates Google’s AI chip tech, opening doors to other large tech customers [3].
• NVDA Resilience
  : NVDA’s recovery post-AH dip underscores CUDA ecosystem lock-in, limiting TPU adoption to few players [0].
• META’s Dual Impact
  : Cost savings from TPUs may boost EPS, but transition costs could offset short-term gains [6].

• GOOG
  : Opportunity to expand TPU revenue via large tech clients; risk of limited adoption due to CUDA lock-in [3].
• NVDA
  : Risk of competitive erosion from TPUs; opportunity to retain market share via ecosystem strength [6].
• META
  : Opportunity for cost savings; risk of infrastructure transition challenges [1].

• Price Movements
  : GOOG closed at $320.28 (-0.16% Nov 26), META at $633.61 (-0.64%), NVDA at $180.26 (-0.75%) [0].
• Market Caps
  : GOOG ($3.87T), META ($1.60T), NVDA ($4.39T) [0].
• Timeline
  : Meta’s TPU deployment expected in 2027, with potential Google Cloud rentals in 2026 [1].

This summary provides objective context for decision-making without prescriptive recommendations.