Meta Just Crushed Earnings. So Why Does Wall Street Keep Selling the Stock?

Meta reported Q1 revenue of $56.3 billion, up 33%, with operating margins holding at 41% and EPS beating Wall Street estimates. The stock has fallen on concerns that planned 2026 capex of $125 billion to $145 billion could consume more than half of expected 2026 revenue, but AI is already boosting ad impressions 19% and price-per-ad 12%. The article argues the valuation remains reasonable at under 19x 2026 earnings despite heavy AI spending and Reality Labs losses.

Analysis

The key read-through is that the market is no longer treating Meta as a software platform with optionality; it is pricing it like a capital-intensive infrastructure builder whose returns need to clear a much higher hurdle. That is why the stock can sell off even when the core business is compounding strongly: investors are discounting future dilution from capex before they can see monetization. In the near term, this creates a valuation overhang, but it also raises the bar for every other large AI spender in the group — capital efficiency will matter more than narrative.

The second-order winner is not necessarily the obvious AI beneficiaries, but the companies supplying the picks-and-shovels for inferencing, networking, and model training while Meta is still in the spending phase. If Meta’s ad engine keeps improving, the most important signal is that AI is already producing measurable ROI in the core cash cow; that makes the enterprise risk less about AI adoption and more about execution on product monetization outside ads. In other words, the market may be underestimating how quickly incremental AI spend can translate into operating leverage if ad pricing and impressions keep compounding.

The contrarian view is that the selloff likely overstates the medium-term risk and understates Meta’s ability to fund the buildout internally. At sub-20x forward earnings, the stock is still being valued as if the spend is mostly deadweight, despite evidence that AI is widening the ad moat. The bigger danger is not that AI fails, but that returns show up unevenly over 6-12 months, which could keep sentiment suppressed even as fundamentals improve.

Key Decisions for Investors

• Stay long META on weakness over the next 1-3 months; risk/reward improves if the market keeps penalizing capex despite continued ad monetization gains. Use a staggered entry rather than chasing strength.
• Consider a pair trade: long META / short a basket of higher-multiple, less-proven AI spenders. The thesis is that Meta’s near-term ROI is already visible, while pure AI-exposure names remain more vulnerable to ‘show-me’ scrutiny.
• Add NVDA selectively on any META-related selloff if you want cleaner exposure to the AI buildout; the trade is higher-quality demand visibility with less balance-sheet drag than a mega-cap platform capex story.
• Avoid shorting META outright into earnings cycles unless ad momentum clearly rolls over; upside surprise risk is high because small improvements in monetization can offset a lot of capex fear.
• For tactical traders, sell puts or use call spreads in META over 6-12 weeks: the stock is depressed by sentiment, but the underlying earnings power gives the position a better skew than buying outright after a sharp run.