Alphabet Inc.

🇺🇸NASDAQ Global Select
Back to all articles
Alphabet Inc. stock analysis GOOG overview
Bullish +55

Big Tech Earnings Shifted the AI Trade Toward Alphabet and Amazon

📈 Big Tech stocks exhibited a split in investor sentiment regarding AI spending after the latest earnings reports.

📉 Analysts at Jefferies revised target prices, raising Alphabet while lowering estimates for Meta and Microsoft.

🚀 Alphabet gained strong support as its stock jumped 10% following positive Google Cloud and Gemini AI results.

💰 Amazon shares rose after its cloud unit recorded the fastest quarterly sales growth in over three years.

🍎 Apple advanced on revenue growth forecasts, with Cramer noting its unique position despite lower data center spending.

📉 Meta fell 9.44% as investors questioned rising capital spending and the lack of a proprietary cloud business.

💻 Microsoft declined after projecting $190 billion in 2026 capital spending, overshadowing Azure revenue expectations.

🗣️ Jim Cramer dismissed bubble concerns, stating that heavy data center investment is central to growth in this quarter.

💵 Market rewards are going to companies linking spending directly to revenue growth rather than just borrowing for infrastructure.

🤖 The S&P 500's largest gain contributor this year has been Alphabet due to its strong AI product adoption.

📊 Over the past five days, Class A and C Alphabet shares rose over 11%, while Amazon climbed 1.69%.

⚠️ Investors are now punishing firms that borrow heavily for data centers without clear cash returns from investments.

🔮 Bob Savage from BNY warned that borrowing to fund AI infrastructure is being punished by the market.

🛡️ Meta faces particular pressure because it lacks the cloud business leverage found in Amazon, Alphabet, and Microsoft.

📉 Jefferies cut its target for Meta from $1,000 to $825 due to concerns over spending plans versus revenue.

🔨 Analysts reduced the price target for Microsoft from $675 to $575, citing doubts about AI product leadership.

Bullish Signals
  • Alphabet's shares jumped 10% on Thursday after earnings, pushing its 2026 gain to 23%, marking it as the largest point contributor to the S&P 500's gain this year.
  • Jefferies raised Alphabet's target price from $400 to $445, reflecting a stronger view of the company's market position and Google Cloud growth.
  • Amazon gained after its cloud unit posted the fastest quarterly sales growth in more than three years, signaling sustained AI demand supporting cloud revenue.
  • Alphabet Class A shares rose 11.32% to $385.69 and Class C shares gained 11.43% to $383.22 over the past five days amid strong market support.
  • Apple advanced 5.43% to $280.25, supported by a forecast for revenue growth of up to 17% in the current quarter.
  • Amazon also gained 1.69% to $268.42, further validated by its strong cloud performance linked to AI services demand.
  • Jim Cramer noted that companies like Alphabet, Amazon, and Apple are being rewarded by investors for successfully linking their heavy spending to revenue growth.
Risk Factors
  • Jefferies lowered its price target for Meta from $1,000 to $825 and cut Microsoft's target from $675 to $575, reflecting investor skepticism over their respective data center cost structures.
  • Meta fell 9.44% over five days to $608.74 after investors questioned its rising capital spending tied to AI infrastructure despite posting strong results.
  • Microsoft's shares declined 1.74% to $414.20 after the company projected 2026 capital spending of $190 billion, overshadowing expectations for stronger Azure cloud revenue growth.
  • Investors are punishing firms that borrow money to continue investing in AI data centers and chips, according to BNY markets strategist Bob Savage, without seeing immediate cash returns.
  • Analysts and market participants question whether Microsoft's AI investments are producing enough product leadership against rivals such as Google.
  • Cramer noted that Meta faces significant pressure because it lacks a cloud business like Amazon, Alphabet, or Microsoft, making its heavy infrastructure spending riskier.
  • The market has shifted away from rewarding pure AI spending to only supporting companies that can clearly link such spending to revenue growth.
Full Analysis
Big technology stocks experienced a divergent reaction following recent earnings reports and adjusted artificial intelligence spending strategies, with Alphabet, Amazon, and Apple receiving investor support while Meta and Microsoft faced pressure. Jefferies investment bank revised its price targets accordingly, raising Alphabet’s target from $400 to $445 due to strong performance in Google Cloud and the broader deployment of Gemini AI products, which contributed significantly to the S&P 500 this year. Conversely, Jefferies lowered its target for Meta from $1,000 to $825 and cut Microsoft’s target from $675 to $575, as investors questioned the return on investment for both companies’ massive data center capital expenditures. The market sentiment shift centers on whether heavy AI infrastructure spending is translating into tangible revenue growth or if it is creating unsustainable costs without adequate returns. Jim Cramer of CNBC argued against the narrative of a technology bubble, asserting that failing to spend on AI puts companies behind in the competitive landscape. While Alphabet, Amazon, and Apple saw share price increases over the past five days—such as Alphabet Class A shares rising 11.32% to $385.69—Meta dropped significantly due to concerns about its lack of a cloud business relative to peers and Microsoft faced scrutiny after projecting 2026 capital spending of $190 billion, which overshadowed positive Azure revenue forecasts. Analysts like Bob Savage from BNY point out that investors are now distinguishing between companies that can monetize their AI investments quickly versus those simply borrowing money to fund infrastructure. Amazon's stock was bolstered by its cloud unit achieving the fastest quarterly sales growth in over three years, while Apple’s advance was supported by revenue growth forecasts and its ability to leverage existing user bases rather than relying solely on massive new data center outlays. The consensus emerging from these earnings is that AI spending is no longer treated uniformly; firms linking expenditure directly to revenue expansion are being rewarded, while those with high cost structures and uncertain product leadership against rivals like Google are seeing their stock prices corrected.