Wednesday was a landmark day for the technology sector as four of the biggest names—Meta, Google, Amazon, and Microsoft—all reported their quarterly earnings simultaneously. Among them, Meta emerged as the clear underperformer, with its shares dropping more than 7% despite reporting a 33% revenue increase, the company's fastest growth since 2021. The reason? An eye-popping surge in planned spending that has left investors uneasy.

Meta revealed that its 2026 capital expenditure (capex) would be at least $10 billion higher than previously estimated, potentially reaching a staggering $145 billion. CEO Mark Zuckerberg, during the earnings call, defended the aggressive outlay, attributing most of the increase to rising component costs, particularly for memory chips. "We are confident in this investment," he said, though analysts remain skeptical.

The AI Boom and the Memory Chip Crunch

The artificial intelligence race has triggered an unprecedented global buildout of data centers, straining the supply of high-bandwidth memory (HBM) chips essential for training and running large language models. This shortage has not only pushed up prices for hyperscalers like Meta but has also rippled across the consumer electronics market, raising costs for laptops, smartphones, and other devices. Meta's $145 billion capex projection is a dramatic leap from the $72 billion it spent just last year, underscoring how AI is transforming corporate balance sheets.

For context, in 2024, Meta's total revenue was around $160 billion. Committing nearly a full year's revenue to capital spending is a bet of historic proportions. Zuckerberg acknowledged the risk but argued that failing to invest now would be far more costly in the long run. "If we don't build the infrastructure, we'll miss the opportunity," he said during the call.

Meta's AI Catch-Up Efforts

Meta has been widely perceived as trailing behind rivals such as Google and OpenAI in the AI domain. Roughly ten months ago, Zuckerberg admitted the company had fallen behind and announced a major turnaround initiative. This involved pouring billions into research and development, aggressively poaching top talent from across the industry, and establishing a new division called Meta Superintelligence Labs (MSL). The unit is led by Scale AI founder Alexandr Wang, a notable hire given Scale's expertise in training data for AI models.

The first tangible fruit of that effort emerged earlier this month with the debut of Muse Spark, a proprietary AI model that Meta plans to open-source in the future. While the model is a step forward, many experts believe Meta still has a long way to go before it can challenge the leading edge. "This was the first release from MSL, and it shows our work is on track to build a leading lab," Zuckerberg assured investors. "Now that we have a strong model, we can develop more novel products."

Those novel products include two AI agents: one for personal use and one for business applications. Zuckerberg disclosed that an early version of the business AI is already being tested, and weekly conversations have grown tenfold since the start of the year. The personal agent is expected to compete with offerings from Google and Anthropic, but no specific launch date was given.

Impact on Core Business and Workforce

AI is already making its presence felt inside Meta's core operations. CFO Susan Li revealed that over half a billion weekly active users on Facebook and Instagram are now watching videos that have been translated and dubbed by AI, a feature that enhances global reach. The company is also integrating the new AI model into its advertising and recommendation systems, aiming to hyper-personalize user feeds. "Since our recommendation systems operate at such a large scale, we'll phase in this new technology over time," Zuckerberg said. "But the trend is clear: we are seeing increasing returns from improving engagement and advertiser value."

However, the AI pivot also comes with a human cost. Meta is laying off 10% of its workforce and offering voluntary buyouts to 7% of its U.S. staff, following a Silicon Valley trend where companies use AI to automate tasks and reduce headcount. Executives declined to confirm whether the layoffs were directly tied to automation, but Li noted that a "leaner operating model" would help offset the substantial investments Meta is making.

This isn't the first time Meta has made a massive bet on an emerging technology. The company's earlier foray into the metaverse, led by its Reality Labs division, has been a costly disappointment. In the most recent quarter, Reality Labs posted an operating loss of over $4 billion on just $402 million in sales, adding to more than $80 billion in cumulative losses over the past six years. The metaverse failure looms large over the current AI gamble, but Zuckerberg insists the AI investment is fundamentally different because it builds on Meta's existing strengths in social networking and data.

Industry Context and Competitors

Meta's spending spree is not happening in isolation. Across the tech industry, companies are ramping up AI-related capital expenditures. Microsoft recently announced plans to spend over $80 billion on AI infrastructure in 2026, while Google's capex is expected to exceed $70 billion. Amazon is also investing heavily, though it has been more measured. The collective spending has driven up demand for Nvidia's GPUs and for memory chips from companies like Samsung and SK Hynix, creating supply chain bottlenecks.

Analysts have expressed concern that such massive investments may not yield commensurate returns in the near term. Meta's situation is particularly precarious because its revenue growth, while strong, is still heavily dependent on advertising, which could be affected by macroeconomic headwinds. Nonetheless, Zuckerberg remains bullish, pointing to the long-term potential of AI to transform not just Meta but the entire digital ecosystem.

If Meta succeeds, it could reclaim a leadership position in AI and generate entirely new revenue streams from agents and services. If it fails, the company could face a financial crisis far worse than the metaverse debacle. For now, all eyes are on the next few quarters to see whether Muse Spark and the promised AI agents can start delivering on the hype.

Source: Gizmodo News