Meta Platforms has delivered a stronger-than-expected third quarter, with revenue climbing 26% year over year as its advertising business continues to benefit from artificial intelligence. The Facebook and Instagram parent reported $64.6 billion in revenue for the quarter ended September 30, 2026, surpassing Wall Street expectations of approximately $63.3 billion. At the same time, the company is preparing to spend unprecedented sums on AI infrastructure, advanced models, and new consumer products, underscoring how aggressively CEO Mark Zuckerberg is positioning Meta for the next phase of the technology race.
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The results illustrate a defining characteristic of Meta's business: its established social media platforms are generating substantial revenue that can finance an expensive expansion into artificial intelligence. Facebook, Instagram, WhatsApp, and Threads collectively reach billions of people, providing Meta with an enormous distribution network for new AI features. Unlike AI startups that must build audiences while paying for costly computing infrastructure, Meta can introduce new capabilities to users across products that already attract enormous daily engagement.
Meta's third-quarter revenue increased from $51.24 billion in the same period a year earlier, reflecting continued strength in digital advertising. The company's advertising business remains its primary source of income, and AI is becoming increasingly important to how those advertisements are targeted, delivered, and measured. Meta reported that advertising impressions across its family of applications increased 10% year over year, while the average price per advertisement rose 14%. Those gains indicate that the company is benefiting from both increased advertising volume and improved monetization.
Artificial intelligence plays a central role in this performance. Meta uses AI-powered recommendation systems to determine which videos, posts, and other content users are most likely to engage with. Better recommendations can encourage people to spend more time on its platforms, creating additional opportunities to display advertisements. AI can also help advertisers automate campaign creation, identify audiences, optimize spending, and improve the relevance of their promotions.
These improvements are commercially significant because Meta does not necessarily need to generate substantial revenue from every new AI product to justify its investment. If AI makes its existing advertising business more effective, the financial benefits can emerge through higher advertising prices, stronger engagement, and more efficient campaigns. That gives Meta a potential advantage over companies whose AI strategies depend primarily on selling subscriptions or charging customers directly for access to models.
The company is also working to establish a stronger position in the market for consumer-facing AI assistants. Its Muse and Muse Wonder models have become important parts of that effort, with Zuckerberg describing their introduction as major milestones toward the company's ambition of delivering what he calls personal superintelligence. Meta is attempting to move beyond AI as a behind-the-scenes advertising tool and make intelligent assistants a more visible part of how people communicate, search for information, create content, and complete everyday tasks.
The opportunity could be substantial if Meta succeeds in making its AI products habitual parts of consumers' digital lives. Its existing applications offer potential distribution channels for AI assistants, while its social platforms provide information about users' interests and the types of content they engage with, subject to applicable privacy rules and product settings. A successful assistant could eventually support new commercial experiences, including shopping recommendations, business services, productivity tools, and other transactions. However, user adoption alone will not guarantee profitability; Meta must demonstrate that these products can generate revenue or improve the performance of its broader business enough to justify their cost.
The financial outlook suggests that management believes its investments are beginning to pay off. Meta forecast fourth-quarter revenue of between $73 billion and $76 billion, indicating expectations for continued growth into the final months of 2026. The guidance reflects confidence in its core advertising business and the potential contribution of AI-driven improvements. The company also said it expects its investments to support strong overall revenue growth throughout 2027, although it did not provide a specific full-year revenue forecast for that year.
Behind that growth outlook is an enormous infrastructure budget. Meta narrowed its 2026 capital expenditure forecast to between $135 billion and $145 billion, raising the lower end of its previous range. Capital expenditures include investments in data centers, servers, networking equipment, and other infrastructure needed to develop and operate AI systems. The company's third-quarter capital expenditures, including principal payments on finance leases, reached $34.91 billion, up from $31.08 billion in the preceding quarter.
Such spending reflects the economics of frontier AI development. Training increasingly capable models requires large computing clusters, advanced processors, high-speed networking, electricity, and specialized data-center facilities. Once models are deployed to millions or billions of users, the cost of running them can also become significant. AI assistants that generate responses, analyze information, and perform complex tasks require computing resources every time users interact with them, making infrastructure efficiency an important factor in long-term profitability.
Meta is competing against major technology companies that are investing heavily in similar capabilities. Microsoft, Google, Amazon, OpenAI, and Anthropic are all seeking advantages in AI models, computing capacity, and products that attract consumers and businesses. Access to advanced chips and sufficient data-center capacity can influence how quickly a company develops new models and delivers services at scale. Meta's investment strategy is therefore partly defensive: it wants to avoid falling behind rivals that could otherwise capture the next generation of digital advertising, online search, productivity, and consumer AI.
Nevertheless, Meta's spending carries considerable financial risk. Capital expenditures require substantial upfront investment, while the revenue benefits may take years to materialize. A data center can be expensive to build and equip, and computing hardware can lose value as newer generations arrive. If AI products fail to attract enough users or generate meaningful commercial returns, the company could find itself carrying a much larger cost base without a proportionate increase in revenue.
The third-quarter results also revealed a significant complication beneath the headline growth figures. Meta reported net income of $9.86 billion, or $3.83 per diluted share, compared with $2.71 billion and $1.05 per share a year earlier. However, the quarter included a $9.89 billion charge associated with an agreement to resolve litigation involving allegations related to teen mental health and social media. The charge weighed heavily on operating results, making the reported increase in net income an incomplete measure of the company's underlying operating performance.
Meta's operating income fell 37% year over year to approximately $12.99 billion, while total costs and expenses rose 68% to $51.61 billion. Excluding the $9.89 billion legal charge, operating income would have been approximately $22.88 billion, according to the company's earnings release. That adjusted figure offers additional context for assessing the performance of its core business, but it does not eliminate the broader expense pressures created by infrastructure investment, compensation, and other operating costs.
The legal charge also affected how investors must interpret Meta's earnings beat. Stronger-than-expected revenue can demonstrate demand for advertising and effective monetization, but it does not necessarily mean that profitability is improving at the same rate. Investors will need to monitor whether revenue growth continues to outpace recurring costs once unusual legal expenses are separated from normal operations. The company's ability to convert its growing sales into durable operating income and cash flow will be especially important as AI spending expands.
Cash flow is another area requiring attention. Meta generated $32.79 billion in cash from operating activities during the third quarter, but free cash flow was negative $2.12 billion after capital investment and related adjustments. The result illustrates the scale of the company's infrastructure commitments: even a business generating tens of billions of dollars in operating cash each quarter can see its remaining cash flow pressured by a major expansion cycle.
Meta has considerable financial resources to support its strategy, including $82.45 billion in cash, cash equivalents, and marketable securities at the end of September. Still, maintaining financial flexibility matters when a company is investing at this scale. Its ability to fund AI development internally, preserve liquidity, and potentially access capital markets gives it options, but the long-term returns on those investments remain uncertain.
In a notable corporate-finance development, Meta's board also approved the creation of a new publicly listed, nonvoting Class C common stock, with an effective date planned for January 2027. The proposed structure is intended to give the company additional flexibility in its capital strategy while preserving Mark Zuckerberg's control through the existing voting structure. The move underscores how Meta is considering different ways to support its long-term ambitions as its AI investments grow.
Another strategic shift is emerging within Meta's Reality Labs division, which develops virtual and augmented reality products. The company expects the division's losses to narrow to approximately $15 billion next year as it reallocates investment toward other priorities, primarily AI. That does not mean Meta is abandoning its longer-term interest in immersive computing, but it indicates that management is placing greater emphasis on areas where it sees more immediate opportunities for growth and commercial returns.
The central question for investors is whether Meta can turn its infrastructure spending into an enduring competitive advantage. Its existing advertising business gives it a substantial financial foundation, and early gains from AI-powered recommendations and advertising tools provide evidence that at least some of its investments are already generating commercial benefits. Its new models and consumer assistants could create additional opportunities, but they will need to demonstrate meaningful adoption, reliable performance, and viable monetization.
Meta's third-quarter performance therefore presents two stories at once. The first is a strong core business, with advertising revenue growing rapidly and management forecasting continued momentum. The second is a costly technological transition that is pushing infrastructure spending to extraordinary levels while creating pressure on free cash flow and increasing the importance of disciplined capital allocation.
For the broader technology industry, Meta's results reinforce the idea that AI is no longer simply an experimental feature added to existing products. It is becoming a major determinant of infrastructure strategy, product development, and competition across the digital economy. Meta is betting that its enormous audience, advertising engine, and financial resources will allow it to translate AI advances into products and services that strengthen its position for years to come.
The company's revenue beat and stronger outlook provide encouraging evidence for that strategy, but they do not settle the question of whether the investment will ultimately pay off. As spending continues to rise, the next phase of Meta's story will depend on its ability to deliver increasingly useful AI products, maintain advertising growth, manage legal and operating costs, and generate sufficient returns from the infrastructure it is building.