Online advertising giant Alphabet (NASDAQ: GOOGL) met Wall Street’s revenue expectations in Q3 2026, with sales up 24.7% year on year to $127.6 billion. Its non-GAAP profit of $2.12 per share was 29.6% below analysts’ consensus estimates.

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StockStory’s take

Alphabet’s third quarter drew a sharp negative reaction from the market following a significant shortfall in non-GAAP earnings per share, despite revenue meeting Wall Street’s expectations. Management attributed the strong top-line growth to AI-driven momentum across Search, Cloud, and YouTube, noting a surge in AI-related product usage and increased adoption of the Gemini 4 series of models. CEO Sundar Pichai described the quarter as “strong,” emphasizing record growth in Google Cloud and a marked increase in global Search queries, though rising costs associated with technical infrastructure and AI investments weighed on profitability.

Looking ahead, Alphabet’s outlook centers on the continued rollout of advanced AI models, expansion of its TPU system business, and scaling agentic experiences—AI-powered tools designed to automate complex user tasks. Management believes these initiatives will drive long-term growth but acknowledged margin headwinds from ongoing infrastructure investments and higher depreciation. CFO Anat Ashkenazi cautioned that technical infrastructure spending will “continue to weigh on the P&L,” while Pichai said, “I expect the next 12 months to see continued acceleration because of RSI,” referring to the pace of AI model development.

Key insights from management’s remarks

Management highlighted rapid AI adoption, strong Cloud demand, and expansion of agentic capabilities as the main themes shaping the quarter’s results and future strategy.

• AI model momentum: The Gemini 4 series, including Argon and newly announced Carbon, drove a substantial increase in AI usage across Search, Cloud, and Workspace. Argon’s adoption led to a 3.5x faster developer ramp-up compared to previous models, with Carbon showing improved capabilities in cybersecurity and complex reasoning.
• Cloud growth and diversification: Google Cloud achieved over 100% year-over-year revenue growth, driven by demand for AI infrastructure, particularly TPU system sales. Nearly 90% of Fortune 100 companies used Gemini Enterprise, and more than 100 million seats were sold for AI-driven knowledge work solutions.
• Search transformation: AI-driven features in Search, such as AI Overviews and AI Mode, resulted in longer, multimodal user queries and higher engagement. However, management noted lower monetization in AI Mode queries, which affected Search revenue growth rates.
• YouTube innovation and subscriptions: YouTube introduced over 30 new AI-enabled creator tools and surpassed 150 million Music and Premium subscribers. The addition of Amazon to YouTube Shopping allowed creators to tag products directly in videos, expanding e-commerce integration.
• TPU system expansion: The company is broadening distribution of its TPUs (Tensor Processing Units), partnering with Oracle and others to meet accelerating demand from enterprises and AI labs. This expansion supports both internal and external AI workloads and is expected to impact future revenue and capital allocation.

Drivers of future performance

Alphabet’s future performance will depend on the pace of AI product development, scaling agentic capabilities, and managing the cost impact of large-scale infrastructure investments.

• AI product rollout and monetization: Management expects advanced AI models, like Carbon and Genie 4, to drive increased demand for both consumer and enterprise AI services. The introduction of agentic workflows across Search, Gemini, and Workspace could create new monetization opportunities, though their impact on advertising revenue remains uncertain as user behaviors evolve.
• TPU business scaling: The expansion of TPU system sales, including partnerships with third parties and on-premise deployments, is anticipated to accelerate Cloud revenue growth but will require significant working capital and inventory buildup, impacting free cash flow in the near term.
• Margin pressure from infrastructure investment: Ongoing capital expenditure for servers, data centers, and network equipment will continue to elevate depreciation and operational costs, weighing on margins. Management highlighted that higher technical infrastructure spending is a structural element of Alphabet’s AI strategy, with returns expected over the longer term.

Catalysts in upcoming quarters

Looking forward, the StockStory analyst team will monitor (1) adoption and monetization of new AI-powered agentic experiences across Search, Gemini, and Workspace platforms, (2) execution on scaling TPU system sales and the resulting impact on Cloud revenue and working capital, and (3) the effect of ongoing infrastructure investment on margins and free cash flow. The pace of product launches and enterprise AI adoption will also be important markers of Alphabet’s execution.

Alphabet currently trades at $290.75, down from $326.95 just before the earnings. At this price, is it a buy or sell? Find out in our full research report (it’s free).

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