The ‘Nvidia Tax’: Alphabet Mitigates It Better Than Amazon or Any Other Mag 7 Stock

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By Alex Sirois Published

Quick Read

  • GOOGL's TPU-driven Google Cloud grew 82% versus AMZN's AWS at 37%, yet Alphabet trades at a cheaper forward P/E of 17 against Amazon's 32.

  • NVDA's pricing power cuts deepest at MSFT and the remaining Mag 7, none of which own custom silicon to reduce dependency on merchant GPUs.

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The ‘Nvidia Tax’: Alphabet Mitigates It Better Than Amazon or Any Other Mag 7 Stock

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Alphabet (NASDAQ: GOOGL | GOOGL Price Prediction) and Amazon (NASDAQ: AMZN) both reported Q2 FY2026 results shaped by the same force: the enormous check every hyperscaler now writes to NVIDIA (NASDAQ: NVDA). Google Cloud grew 82% YoY. AWS grew 37%. Both burned free cash. The difference is who owns the silicon underneath.

Google Cloud Sprints. AWS Accelerates. Capex Bills Diverge.

Alphabet spent $44.92 billion on capex last quarter and pushed cloud operating margin to 35.6%. Amazon spent more, $54.21 billion, and AWS operating margin was 39.4%. AWS earns more per dollar of cloud revenue today, but Google Cloud scales faster off a smaller base while running Gemini on in-house TPUs. Sundar Pichai told investors “our first priority is making sure we are allocating what we need to compete at the frontier”, then routing external customers to a mix of TPUs and NVIDIA GPUs.

Business Driver Alphabet Amazon
Q2 Capex $44.92B $54.21B
Cloud Growth 82% 37%
Custom Silicon TPU (trains and serves Gemini) Trainium2, Graviton5
Operating Margin 34% 13.7%

Full Stack vs. Foundation Marketplace

Alphabet designs the chip, trains the model, ships the app. Gemini processes 22 billion API tokens per minute, the Gemini App has 950 million monthly active users, and nearly 90% of the Fortune 100 uses Gemini Enterprise. Every incremental token trained on a TPU is a token not rented from Jensen Huang.

Amazon executes differently. Andy Jassy said “our AI and Chips businesses each eclipsed run rates of more than $25 billion”, and Project Rainier now runs 500,000+ Trainium2 chips for Anthropic. But Bedrock is a hosting layer for other people’s frontier models, including GPT-5.6 and Claude Opus 5, and AWS still buys NVIDIA GPUs at scale because enterprise customers demand them.

The Balance Sheet Is Where This Gets Real

Google’s free cash flow fell to negative $5.86 billion, long-term debt jumped from $46.5B to $98.2B, and buybacks were suspended. Alphabet raised full-year 2026 capex guidance to $195 billion to $205 billion. Amazon guided higher at roughly $200 billion, and TTM free cash flow turned negative at -$7.6 billion. Google’s saving grace is a 54.8% profit margin and forward P/E of 17, versus Amazon’s forward P/E of 32.

Why I Lean Toward Alphabet on the NVIDIA Tax

Ranking the Mag 7 by structural insulation from NVIDIA’s pricing power, Alphabet ranks first and Amazon a clear second. A wide chasm separates that pair from Microsoft, Meta, Apple, and Tesla, all lean harder on merchant GPUs. Alphabet owns the whole stack from Axion CPU to Gemini app, and it shows up in 86% one-year price appreciation. Amazon’s Trainium ramp is real. I just think Google keeps more of every AI dollar it earns. If NVIDIA’s next Blackwell cycle prices harder, Alphabet feels it least.

Contact [email protected] for any questions or corrections.

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About the Author Alex Sirois →

Alex Sirois is a financial writer with experience spanning both retail and institutional investing. He has written for InvestorPlace and held roles at BNY Mellon and Bernstein, giving him a perspective that bridges Main Street portfolios and Wall Street analysis.

Alex holds an MBA from George Washington University and has built his career across multiple industries, including e-commerce, education, and translation — a breadth of experience that informs how he breaks down complex financial topics for everyday investors. His writing is conversational, actionable, and grounded in long-term, buy-and-hold investing principles.

At 247 Wall St., Alex focuses on delivering analysis that is both accessible and useful, with a clear emphasis on helping readers make more informed decisions with their money.

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