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AI Capex Efficiency Should Guide Your Capital Into These Two Hyperscalers

Alphabet and Meta each doubled down on AI spending last quarter, but one is converting those data centers into external revenue while the other bets the bill pays off inside its own apps. The distinction changes which stock deserves your…

By Alex Sirois

Published October 8, 2026, 10:45am ET · 2 min read

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A long, dark hallway in a data center is lined with rows of server racks on both sides, glowing with internal blue and green lights. Above, a translucent blue graphic of a microchip with the letters 'AI' written on it hovers, casting a reflection onto the concrete floor. The scene evokes advanced technology and vast computing power. — The extensive data center infrastructure required for AI, as depicted here, highlights the significant capital expenditures for companies like Meta Platforms and Amazon. © Shutterstock

Alphabet (NASDAQ:GOOGL | GOOGL Price Prediction) and Meta Platforms (NASDAQ:META) both reported second-quarter results in late July, and each significantly increased its AI spending. Alphabet’s capex reached $44.92B, up 100%. Meta’s hit $30.12B, up 82%. They differ in who benefits. Alphabet sells AI capacity to outside customers, while Meta puts its compute back into its own ad business.

Cloud Pays Alphabet Back as Meta’s Ad Engine Absorbs the Bill

Google Cloud revenue jumped 82% to $24.77B, evidence that data center spending is converting to third-party sales. CEO Sundar Pichai credited “demand for AI infrastructure and AI solutions.” Search grew 17% to $63.27B.

At Meta, ad impressions rose 14% and average price per ad increased 12%. Advantage Plus reached a $75 billion annual run rate. Operating margin fell to 31% from 43%, and free cash flow shrank to $784M. Excluding legal charges and severance, operating income would have increased 9%.

Business Driver	Alphabet	Meta
Main AI Payoff	Cloud revenue +82%	Price per ad +12%
Q2 Free Cash Flow	-$5.86B	$784M
Q2 Operating Margin	34%	31%

Alphabet Sells Intelligence While Meta Keeps It In-House

Alphabet already has paying AI customers outside advertising. Nearly 90% of the Fortune 100 use Gemini Enterprise, the Gemini app has 950 million monthly users, and Cloud backlog exceeded $460B as of Q1. That backlog shows where much of the new capacity will go.

Meta is moving into enterprise revenue more carefully. Mark Zuckerberg said Meta gets compute offers “at a significant premium over what we paid for it,” but argued that selling intelligence carries a “significantly higher margin” than selling raw compute. CNBC reported this week that Meta may drop the idea of a cloud business for Muse, its AI model family. Business agents, which more than 1 million businesses use each week, are still at an early stage.

Both companies are borrowing to build. Alphabet’s long-term debt rose to $98.2B, and it suspended buybacks. Meta’s long-term debt increased to $83.66B. The debt-funded expansion is flowing to the power, cooling, and networking suppliers behind the data centers (we highlighted seven of them in a free AI infrastructure report).

Cloud Growth and Meta’s Spending Discipline Decide What Comes Next

Watch whether Cloud growth stays near 80% as Alphabet works toward its $175B-$185B capex guidance. Interest expense, up about 5x, needs a close look too. For Meta, keep an eye on whether third-quarter revenue lands within its $61B-$64B outlook while full-year capex runs at $130B-$145B. Youth-related cases and EU pressure on Less Personalized Ads add risks I can’t easily put a number on.

Why Alphabet Earns My Capex Confidence First

Alphabet trades at roughly 16x earnings versus 26x for Meta. Alphabet’s outside revenue stream supports the spending. Shares gained 42.99% over the past year; Meta rose 1.48%. Meta’s case rests on AI strengthening its own apps. If price-per-ad gains hold and margins recover toward 43%, Meta’s AI-capex case strengthens.

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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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