Meta is one of the most valuable companies in the world. The company has grown at an incredible rate over the past two decades, but for the last two years, investors’ debate revolves around the company’s AI spending. The firm is spending billions of dollars on AI infrastructure, with CEO Mark Zuckerberg signalling continued investment in this area. In the second quarter of the calendar year, the firm spent $31.08 billion, and on the earnings call, guided towards a full-year capex of $130-$145 billion.
The market may see this investment through the wrong lens. It sees data centers, servers, and GPUs as expenses. Meta sees this as strategic assets, as compute itself is becoming one of the most valuable and scarce resources in artificial intelligence.
The Market Sees Rising Costs. Meta Sees Increasing Capacity
Meta does not simply build AI infrastructure. The company provides platforms through which it reaches billions of users. There is Facebook, WhatsApp, and Instagram, which customers have used for many years. This makes the company stand out from its competitors as it can immediately deploy AI capabilities across an existing ecosystem.
The market argues that increased company spending may affect its margins and free cash flow. However, the company reported record earnings in its first quarter of fiscal 2026. Compute has become a critical input for AI-powered advertising, business messaging, and content recommendations. As the company generates most of its revenue from digital advertising, it is focused on building a moat around AI infrastructure. The spending now gives it a competitive advantage in the future that becomes more difficult for rivals to compete with.
The Spending Is Rising. So Is the Revenue
This is where the market gets Meta wrong. As previously noted, the market fears that the company’s spending could weigh on profitability. However, the financial results suggest something else. Meta’s financial performance suggests that aggressive AI investment has not prevented the company from maintaining strong profitability.
Management has repeatedly highlighted that AI is improving content recommendation and advertising performance across the company’s platforms. Recently, the company introduced new ways to generate income from WhatsApp through features such as business messaging and advertising formats. Moreover, the company’s large customer base gives it an advantage in deploying new AI capabilities across its platforms.
A Valuation That Assumes Spending Won’t Pay Off
Coming to the valuation gap, the company's current forward P/E GAAP of 19.57x sits nearly 12.3% below its own five-year average of 22.32x. The stock commands a modest premium to the sector median multiple of 15.68x. Given Meta’s healthy revenue growth and continued investment in AI infrastructure, that premium does not appear excessive.
The market’s hesitation is understandable. Investors are being asked to absorb tens of billions of dollars in annual AI spending without knowing when those will generate meaningful returns. Therefore, a company growing that fast, priced this modestly, is a genuine mismatch.
The Risk Behind The Lower Multiple
The low valuation is not there by accident, though. The market is pricing in a real risk. Some of that low multiple reflects concerns about whether Meta’s massive infrastructure spending will create a long-term advantage. The company also faces challenges from market competitors such as Alphabet, Microsoft, and Amazon. As a result, customers look towards the company to see whether it can provide a unique advantage. Moreover, the market fear can be justified somehow if competitors achieve similar infrastructure scale.
On a more bearish note, Meta’s revenue has remained strong despite its AI investments. As the company generates more of its revenue from its social media platforms, a huge amount of investment can pose a risk due to uncertainty about long-term returns. This can be a reason the market may be applying a lower valuation multiple because it is still waiting for clearer evidence.
So the bull case entirely rests on Meta turning infrastructure spending into a lasting advantage. As long as AI improves engagement, advertising performance, and monetization across its platforms, the company’s massive investments could strengthen its competitive position.
The Bottom Line
Meta’s AI spending has become a hot topic for investors. The market’s concerns are understandable. Investors question whether the company’s investment creates a long-term advantage over its market peers. It all comes down to one point: can Meta use its infrastructure more effectively? Unlike companies that are only building AI infrastructure, Meta already has billions of users, proprietary data, and a powerful advertising ecosystem through which it can deploy these capabilities at scale. If the company can continue improving engagement, advertising performance, and monetization through AI, investors may be underestimating the long-term value of the moat Meta is building.
