Something unusual is happening with Meta Platforms. The company just posted record quarterly earnings, grew advertising revenue by approximately 24% year over year, and beat Wall Street estimates on both the top and bottom lines. Yet the stock is trading at a 24% discount to Morningstar's fair value estimate, with a forward price-to-earnings ratio under 25. In a market where consumer staples trade at a 17% premium and basic materials sit at a 10% premium, Meta's valuation represents one of the most striking disconnects on Wall Street.

The culprit is a single number: $135 billion. That is the upper end of Meta's planned capital expenditure for 2026, nearly double the approximately $70 billion it spent in 2025. CEO Mark Zuckerberg has described 2026 as a pivotal year for artificial intelligence, with investments directed toward what he calls "building personal super intelligence." The market's response has been to treat that spending as a risk rather than an opportunity, driving a wedge between Meta's soaring fundamentals and its languishing stock price.

The Earnings That Should Have Lifted the Stock

Meta's fourth-quarter results were, by any conventional measure, outstanding. Revenue beat consensus estimates by approximately $1.3 billion. Earnings per share came in well above expectations. Forward guidance exceeded what analysts had projected. The advertising business, which accounts for the vast majority of Meta's revenue, demonstrated the kind of pricing power and volume growth that few companies of Meta's scale can sustain.

The strength was broad-based. Instagram's Reels format continued to gain share against TikTok in key demographics. WhatsApp's business messaging platform expanded its revenue contribution. Facebook's core advertising product showed resilience in an environment where many advertisers are pulling back on spending due to tariff-related uncertainty and softer consumer demand.

In a normal earnings cycle, these results would have sent the stock sharply higher. Instead, Meta's shares have struggled, weighed down by investor anxiety about what Zuckerberg intends to do with the mountain of free cash flow the business generates.

The $135 Billion Question

The heart of the bearish case against Meta is straightforward: Zuckerberg is spending too much, too fast, on a technology whose returns are uncertain. The planned $115 billion to $135 billion in capital expenditure for 2026 represents one of the largest single-year investment commitments in corporate history, rivaling the combined spending plans of much larger companies.

The money is flowing primarily into AI infrastructure: data centers, custom chips, and the computing capacity needed to train and deploy the large language models that power Meta's products. Zuckerberg has framed the investment as existential, arguing that companies that fail to build AI capabilities now will be left behind permanently.

Critics counter that Meta's AI spending has produced impressive research breakthroughs but limited commercial returns so far. The company's Llama family of open-source models has earned goodwill in the developer community but generates no direct revenue. The practical applications of AI within Meta's products, such as better ad targeting, content recommendations, and customer service automation, are valuable but incremental rather than transformative.

The concern is not that Meta is wasting money. It is that the timeline for AI investments to generate proportional revenue growth stretches years into the future, and in the meantime, the capital expenditure depresses free cash flow and limits the company's ability to return money to shareholders.

Why the Market May Be Wrong

The bear case has merit, but the valuation disconnect suggests the market may be overweighting the risks and underweighting Meta's structural advantages. At a forward P/E under 25, the stock is priced as though its advertising growth is about to stall and its AI investments will fail to generate returns. Neither assumption aligns with the evidence.

Meta's advertising business has proven remarkably durable through multiple economic cycles. The company controls access to more than 3 billion daily active users across its family of apps, giving advertisers unmatched reach and targeting precision. Even in a scenario where the economy slows, ad spending is unlikely to decline meaningfully on Meta's platforms because they deliver measurable, performance-based results that justify the investment.

On the AI front, the returns are already materializing in ways the market may be underappreciating. Meta's recommendation algorithms, powered by AI, have driven significant increases in user engagement on both Instagram and Facebook. The company's AI-driven ad optimization tools have improved conversion rates for advertisers, supporting pricing power. And the development of AI assistants integrated into WhatsApp and Messenger creates new monetization pathways that did not exist 18 months ago.

Morningstar's fair value estimate reflects these factors, assigning a value that implies substantial upside from current levels. The firm's analysts have noted that Meta's stock has struggled "amid rising AI capital expenditure" but that the underlying business remains one of the strongest in the technology sector.

The Contrarian Case

For investors willing to look past the capital expenditure headlines, Meta presents a rare combination: a dominant platform company with accelerating revenue growth, a stock price trading at a significant discount to intrinsic value, and a management team that, for all the controversy surrounding its spending, has a track record of generating outsized returns on invested capital.

Wall Street gave Zuckerberg a "green light" to keep spending on AI when the company reported earnings in January, according to CNBC's analysis. The market's initial positive reaction to the results suggests that institutional investors recognize the strategic logic, even if the magnitude of spending makes them nervous.

The risk is that AI spending escalates further, that competitive pressures from Google, Apple, and OpenAI intensify, or that regulatory headwinds in the US and Europe create new costs. But at current prices, much of that risk appears to be priced in. Investors who bought Meta the last time it traded at a steep discount to fair value, during the metaverse spending panic of late 2022, were rewarded handsomely as the stock tripled over the following 18 months.

History does not repeat itself exactly, but the pattern is worth noting: Meta tends to be cheapest precisely when investor sentiment is most negative about management's spending priorities, and those moments have historically been excellent entry points for long-term shareholders.