I Can’t Stop Buying Meta’s Upward Surge for These 3 Reasons

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By Alex Sirois Published

Quick Read

  • Meta earned $27 billion in net income last quarter while 3.56 billion daily users generated $32 billion in operating cash flow.

  • META's Model API undercuts OpenAI by 75%, business AI conversations grew 10x this year, and partnership ads hit a $10 billion run rate.

  • Reality Labs lost $4 billion in Q1 2026, but Meta's 71x interest coverage and P/E of 24 leave the bull thesis intact.

  • Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Meta didn't make the cut. Grab the names FREE today.

I Can’t Stop Buying Meta’s Upward Surge for These 3 Reasons

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I keep hitting the buy button on Meta Platforms (NASDAQ:META | META Price Prediction), and I am not embarrassed to say the last add was this week. When a company earns $26.77 billion in net income in a single quarter while reaching 3.56 billion daily users, I stop looking for cleverer trades and start acting like an owner.

The pull, in human terms, is that Mark Zuckerberg has turned Meta into a company that prints cash from its Family of Apps while paying itself to build the next platform. Q1 2026 operating cash flow was $32.23 billion. That is the machine that funds everything else, and it is the reason I keep adding.

Reason One: Structural Cost Efficiency in AI Infrastructure

Meta is building its future in-house. The Hyperion data center in Louisiana is now projected to exceed $50 billion for a 5 GW facility, with over $1.6 billion in local contracts already awarded. Zuckerberg told analysts that “one of the primary goals of our Meta compute initiative is to lead the industry in efficiency of building compute, and we expect that will be a strategic advantage over time.” The $125 to $145 billion 2026 capex range reads as scary until you notice $107 billion in new contractual commitments locking in supply through 2027.

Reason Two: Monetization Engines Beyond Ads

The core ad engine is still cranking. Ad impressions rose 19% year over year and average price per ad climbed 12%. That alone would justify my position. Then JPMorgan flagged that Meta’s new Model API is priced 75% cheaper than OpenAI and Anthropic, described as Meta’s first real step toward monetizing AI outside advertising. Business AI conversations grew from 1 million to 10 million weekly since the start of the year, and partnership ads reached a $10 billion annual run rate. Multiple new revenue vectors are stacking behind an ad business already growing at 33% year over year.

Reason Three: Vertical Integration Nobody Else Owns

Meta is rolling out more than one gigawatt of custom silicon developed with Broadcom, layering in AMD and NVIDIA, and just signed a multi-year agreement with Qualcomm for data center CPUs. On the consumer side, AI glasses users are tripling year over year, which Susan Li called one of the fastest-growing consumer electronics categories ever.

Why Not the Obvious Alternatives

Snap and Pinterest are the usual defaults for social ad exposure, but I stick with Meta because Meta’s 41.44% operating margin, 82.00% gross margin, and 30.24% return on equity are the numbers of a category owner, and its P/E of 24 with PEG of 0.949 is not a premium to that quality. Alphabet is a fine business, but I already own Meta’s superior ROE and I do not need to pay for a second ad engine to get AI exposure.

The Real Risk

Reality Labs lost $4.03 billion in Q1 2026 and $19.2 billion for full-year 2025. Add youth-related litigation with additional trials in 2026 and the capex acceleration, and this is not a sleepy compounder. The reason it has not changed my thesis is net debt to EBITDA of 0.471 and interest coverage of 71.48x. Meta can absorb losses others cannot.

The buy button stays active because Meta owns the users, the cash flow, the silicon, and the timeline. I keep buying because the receipts keep arriving.

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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