Meta Platforms (META) grew Q4 ad revenue 24% to $60B but $115B-$135B 2026 capex guidance raised concerns; analysts target $844 (31% upside) and 19% EPS growth. Nvidia and Google signed multi-billion-dollar infrastructure deals.

Hedge funds are building positions after Meta declined on AI spending concerns, seeing robust advertising and AI infrastructure as undervalued relative to long-term potential.

The analyst who called NVIDIA in 2010 just named his top 10 AI stocks. Get them here FREE.

Hedge funds and institutional investors have been quietly building positions in Meta Platforms (NASDAQ:META) despite recent market volatility, viewing it as one of the most compelling opportunities in the AI and digital advertising space. With its massive user base, dominant ad business, and aggressive push into generative AI, Meta has attracted significant buying interest from sophisticated money managers who see the stock trading at a discounted valuation relative to its long-term growth potential.

In recent quarters, multiple high-profile funds have added to or initiated stakes, reflecting broad confidence that near-term concerns are overblown and that Meta is positioning itself as a foundational player in the next wave of technology. This institutional accumulation highlights the growing consensus that Meta offers asymmetric upside in a market hungry for proven AI exposure.

Meta's decline stems largely from Wall Street’s unease over the company’s aggressive AI buildout. It guided 2026 capital expenditures to a staggering $115 billion to $135 billion -- nearly double 2025 levels -- primarily for data centers, GPUs, and AI infrastructure. Investors worry this spending spree will compress margins in the near term, especially if returns from new AI products lag.

READ: The analyst who called NVIDIA in 2010 just named his top 10 AI stocks

Despite robust fundamentals -- advertising revenue grew 24% in Q4 to nearly $60 billion, driven by Reels and AI-powered ad tools -- short-term execution risks have overshadowed the story. Meta's stock pulled back sharply after prior earnings as capex guidance rose, reflecting broader concerns that the social media giant is over-investing without immediate payoff. Yet this pullback created the very entry point that caught Ackman’s eye.

Analysts remain overwhelmingly bullish. The consensus 12-month price target sits at $844, implying roughly 31% upside from current levels, with 42 out of 49 analysts issuing Buy ratings.

Their confidence stems from Meta’s core advertising machine remains unmatched, powering double-digit revenue growth even as AI enhancements boost engagement and ad efficiency. Open-source Llama models are gaining traction, positioning Meta as a leader in accessible AI.

Analysts project continued margin expansion long-term as AI monetization scales through targeted ads, creator tools, and potential new revenue streams like AI agents and smart glasses. The stock’s forward P/E of around 18x looks attractive relative to growth prospects, especially compared with pricier AI peers. Wall Street forecasts 19% annual EPS growth over the next five years.

Meta is not betting blindly. In February, the company expanded its partnership with Nvidia (NASDAQ:NVDA), securing millions of current- and next-generation GPUs plus Vera Rubin rack-scale systems for its data centers. To diversify beyond Nvidia and mitigate supply risks, Meta also signed a multi-billion-dollar, multi-year deal to rent Google’s Tensor Processing Units (TPUs). This move reduces dependency on a single supplier while accelerating model training for Llama and other AI initiatives.

These alliances signal disciplined execution: Meta is building one of the largest AI infrastructures globally while hedging costs and timelines. Combined with its massive base of nearly 4 billion active monthly users, the setup positions Meta to translate heavy investment into a sustainable competitive advantage.

Despite Meta Platforms' solidifying position as an AI powerhouse -- evident in cutting-edge models, ad platform enhancements, and strategic chip partnerships -- its ballooning capex puts it at risk of margin pressure if AI monetization lags. Depreciation, talent costs, and infrastructure operating expenses could weigh on profitability through 2026 and beyond.

That said, its AI bets clearly outweigh the risks. The company’s proven advertising engine generates the cash flow to fund this transformation without debt strain, while early AI wins already show up in engagement metrics and efficiency gains. With Wall Street projecting strong earnings growth and analysts' high-conviction stake validating the thesis, Meta stands as a compelling long-term winner. Investors who look past near-term noise will likely be rewarded as AI delivers the next leg of hyper-growth.

Wall Street is pouring billions into AI, but most investors are buying the wrong stocks. The analyst who first identified NVIDIA as a buy back in 2010 — before its 28,000% run — has just pinpointed 10 new AI companies he believes could deliver outsized returns from here. One dominates a $100 billion equipment market. Another is solving the single biggest bottleneck holding back AI data centers. A third is a pure-play on an optical networking market set to quadruple. Most investors haven't heard of half these names. Get the free list of all 10 stocks here.