Meta reports rising revenue and users, while expenses surge on capital spending tied to AI buildout

Meta said its most recent quarterly results showed continued momentum on both revenue and engagement, even as costs climbed sharply as it increased capital spending tied to its artificial intelligence push. The company’s revenue rose 26% year over year to nearly $65 billion, according to the financial update summarized in market coverage.

Alongside the revenue growth, the reporting also pointed to additional users, reflecting Meta’s ongoing focus on keeping its core social platforms and advertising businesses active and connected. The coverage did not provide specific user figures in the information available here, but it characterized the quarter as adding users while expanding revenue.

The main shift in the quarter was on the expense line. Expenses rose 68% year over year, outpacing revenue growth by a wide margin. The reporting attributed the increase to higher capital expenditures, framing the surge as part of a broader investment cycle rather than a one-off disruption.

Capital expenditures are cash used to build or buy long-term assets such as data centers, networking equipment, servers, and other infrastructure. In Meta’s case, the coverage tied the higher spending to the AI buildout, which typically requires large-scale compute capacity and power, driving both upfront spending and related costs.

For advertisers and the market, the key question is whether Meta’s infrastructure investments will translate into faster ad performance, improved targeting, and more effective recommendation systems over time. Meta has long used machine learning to improve ranking and ad delivery across Facebook, Instagram, and other properties. Larger AI infrastructure spending suggests the company is leaning further into automation and model-based systems for those products.

Meta is also operating in a competitive environment for AI capabilities, where it must balance performance improvements against cash flow and profitability. Large technology spend can pressure margins in the near term, even if it supports longer-term gains. In this quarter’s reported pattern, revenue growth was solid, but margin risk rose as expenses increased faster than sales.

What is not fully clear from the available information is the breakdown of where the spending went within the company’s AI program, or how management expects the cost trajectory to evolve in subsequent quarters. The coverage characterized expenses as linked to capital expenditures but did not disclose detailed guidance, segment impacts, or specific AI cost drivers in the material available here.