Quick Read
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META has shed 20% from its peak despite a 41% operating margin, $46B in free cash flow, and zero analyst sell ratings.
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Ramachandra argues that as AI models commoditize, Meta’s 3.56 billion daily active users become its most defensible competitive advantage.
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Carlisle warns Meta’s capex could hit $145B in 2026, with AI chips depreciating far faster than traditional infrastructure assets.
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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.
On a recent episode of The Investor’s Podcast, investor Hari Ramachandra explained the bull case he saw for Meta Platforms after the stock fell roughly 20% from its peak, calling Meta Platforms (NASDAQ:META) one of the most mispriced large-cap opportunities available today. The stock closed at $577.22 on Thursday, June 18, 2026, down 12.4% year-to-date and 16.77% over the past year.
Meta’s Distribution Moat in an AI World
Ramachandra called Meta “one of the two best advertising machines ever built.” He pointed to a business profile that few peers can match: a 41% operating margin, $46 billion in free cash flow for 2025, and an 18.5% revenue CAGR over the last five years. In Q1 2026, ad impressions rose 19% year-over-year while average price per ad climbed 12%, helping push advertising revenue to $55.02 billion, up 33%.
Hari’s core thesis centers on Meta’s incredible distribution. “As we are seeing that models are pretty much getting commoditized, that means the incremental difference between models is kind of getting saturated, distribution becomes more advantageous,” he said. With 3.56 billion Daily Active Users across the Family of Apps, Meta owns one of the largest direct-to-consumer surfaces in technology. Hari argued that “if AI enables limitless content, you want to be the central distribution point that people are going to share their creations.”
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Wall Street Is Fixated on Meta’s $135 Billion Projected CapEx
Ramachandra argued that the sell-off reflects fear of the $135 billion in projected AI infrastructure capex, but that the market is anchoring on the wrong variable. Meta’s official guidance places full-year 2026 capex between $125-$145 billion, up from $115-$135 billion, an aggressive step up from $72.22 billion in 2025.
He pointed to Zuckerberg’s 2023 “year of efficiency” as evidence that the CEO can flex spending discipline when results demand it. Hari’s base case projects 46% upside for Meta stock, with additional room if AI monetization outperforms. That projection sits below the broader $827.32 average analyst price target, supported by 49 buy ratings, 8 strong buys, 7 holds, and 0 sells.
A Serious Warning About the AI Infrastructure Boom
On the episode, Tobias Carlisle largely agreed with the Mega thesis but flagged a real concern about the CapEx cycle: “It’s not clear how they’re going to generate the revenue out of that CapEx over and above what they’re already doing.” His warning was that if AI monetization takes longer than expected, this could lead to prolonged underperformance for Meta while the company digests the spending.
He also raised a structural issue specific to AI infrastructure: “The chips age faster than infrastructure has been in the past. It’s not like a railway or fiber optic cable, which sits in the ground for a really long period of time.” That accelerated depreciation profile matters as Reality Labs continues to drag earnings, with a $4.03 billion operating loss in Q1 2026.
Valuation and Sentiment Backdrop
Meta trades at a forward P/E of 18, with a PEG ratio of 0.834. On Polymarket, traders currently assign the highest probability (27.5%) to a $540 price level by month-end, and Reddit conversation this past week has been dominated by a viral r/wallstreetbets thread titled “Satya and Zuckerberg are incinerating capital.”
Ramachandra closed by reminding listeners that being bullish on Meta requires “faith in Zuck.” Whether that faith is rewarded will depend on how quickly Meta can turn its record AI infrastructure spending into meaningful revenue and profit growth.
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.