Meta AI Spending Faces Investor Skepticism

Two major AI-focused tech earnings reports produced sharply different reactions from Wall Street, with Microsoft earning praise and Meta drawing skepticism. The article contrasts analyst enthusiasm for Microsoft’s Azure cloud growth and apparent evidence that its AI spending is translating into returns, against frustration over Meta’s profitability, rising capital expenditures, and uncertainty about when its AI investments will begin to pay off. For Meta, the company missed earnings-per-share expectations and raised the lower end of its 2026 capital spending outlook to $130 billion to $145 billion. On the earnings call, analysts pressed Mark Zuckerberg on whether AI was beginning to create meaningful consumer behavior changes or measurable returns on invested capital. Some analysts characterized AI at Meta as still looking like a “glorified search tool,” and questioned where and when the company’s various AI efforts would scale into material returns. Zuckerberg responded by emphasizing Meta’s flexibility, its broad business model, and the potential for computing capacity to serve not just advertising but also enterprise and internal uses. Still, analysts appeared unconvinced, especially given Meta’s plan to potentially monetize excess compute externally while also buying capacity from third parties. By contrast, Microsoft’s results were received far more favorably. The company posted 43% Azure cloud growth and maintained its capital expenditure forecast, which appeared to reassure analysts that its AI and cloud investments are generating visible business momentum. Analysts responded with praise and congratulations, seeing Microsoft as an example of AI investment yielding tangible results. The stock-market reaction reflected this divide: Meta shares fell 7% after the report, while Microsoft shares rose 7%.

The article argues that investors are overreacting to Meta Platforms’ latest earnings report. While Meta’s shares fell more than 11% in extended trading after an earnings miss and softer guidance, the piece contends that the headline EPS miss was driven largely by one-time legal and severance charges rather than a deterioration in the company’s core business. Revenue rose 28% year over year to $60.8 billion, beating expectations, and the authors recalculate operating income excluding the one-time items to show that underlying profitability would have exceeded estimates. The bigger concern for Wall Street, however, is Meta’s spending outlook in an environment where the market has become increasingly skeptical of AI-related capital expenditures. Meta kept the high end of its full-year capex guidance intact and raised the low end, which disappointed investors who are already wary of hyperscalers’ heavy AI investment. Despite near-term pressure on the stock and a lowered price target from $750 to $700, the authors reiterate their positive view and continue to own the shares, citing Meta’s dominance in digital advertising, user engagement, AI capabilities, and strong long-term growth prospects. The article also highlights operational strengths such as ad pricing, ad impressions, Instagram and Threads user growth, WhatsApp activity, and Meta’s increasing use of AI tools and recommendation systems. Overall, the piece recommends patience, arguing that the market’s reaction is driven more by sentiment around AI spending and near-term uncertainty than by a meaningful weakening of Meta’s fundamentals.

Meta’s latest earnings call highlighted a strategic dilemma at the heart of its AI push: whether to monetize excess computing capacity now or retain it for future model development and internal products. CEO Mark Zuckerberg said Meta is receiving offers to lease compute at a premium, raising the prospect that the company could enter a cloud or enterprise infrastructure business. But he stressed that Meta must balance short-term revenue against preserving enough capacity for its own AI ambitions, including API products, productivity tools, and AI agents. The article explains that this debate comes as Meta faces investor pressure after issuing a weaker-than-expected third-quarter revenue forecast and reporting a sharp drop in free cash flow due to soaring capital expenditures. Meta also raised the low end of its 2026 capex guidance, joining Alphabet and Microsoft in a broader industry race to spend heavily on AI infrastructure. Investors are seeking clearer direction from Zuckerberg, whose AI strategy has appeared fragmented and who has lagged rivals like OpenAI, Anthropic, and Google in top-tier models and services. Zuckerberg said it would be unwise to sell all of Meta’s compute for short-term profit, emphasizing that the company is building a long-term portfolio of assets. At the same time, Meta is trying to diversify beyond digital advertising, which still accounts for the vast majority of revenue, and prove it can compete meaningfully in AI. The article also notes that Meta’s history of large, risky bets—especially the metaverse—creates skepticism about the company’s ability to execute this new strategy. Even so, Zuckerberg framed the AI investment as a high-conviction bet that will reward long-term investors.