Wednesday marked a pivotal day for the tech industry as Meta, Google, Amazon, and Microsoft all reported earnings simultaneously in the afternoon. Among the four, Meta emerged as the clear underperformer, with its shares sliding more than 7% even though the company posted its fastest revenue growth since 2021, a 33% increase in the past quarter. The market reaction was largely attributed to the company's updated capital expenditure outlook, which now stands at an eye-watering $145 billion for the full year 2026—up by at least $10 billion from previous estimates.

During the earnings call, Meta CEO Mark Zuckerberg defended the massive spending, emphasizing his confidence in the investment. He explained that the bulk of the increase stems from higher component costs, particularly memory pricing. The artificial intelligence boom has triggered an unprecedented build-out of data centers worldwide, straining the global supply of memory chips and driving up prices. This has resulted in what analysts are calling a global memory crisis, affecting not only Meta and its AI competitors but also pushing up the cost of consumer electronics like laptops and smartphones.

To put the figure into perspective, Meta's projected 2026 capital expenditure of $145 billion is a dramatic leap from the $72 billion it spent in 2025. The company is essentially betting its future on an ambitious AI turnaround effort, even as its earlier foray into the Metaverse through the Reality Labs division continues to bleed cash. Reality Labs posted an operating loss of over $4 billion in the latest quarter, with just $402 million in revenue, adding to the more than $80 billion the division has lost over the past six years. Despite these losses, Zuckerberg remains undeterred, pivoting the company's focus toward artificial intelligence.

The AI Catch-Up Effort

Meta has struggled to keep pace in the AI race, with rivals like Google racing ahead. Roughly 10 months ago, Zuckerberg acknowledged this gap and launched a comprehensive catch-up campaign. The effort involved committing billions to research and development, aggressively poaching top talent from across the industry, and bringing in Scale AI's founder Alexandr Wang to lead the newly formed Meta Superintelligence Labs AI division. The lab's first major output came earlier this month with the debut of Muse Spark, a proprietary AI model that Meta plans to open-source in the future. While still early, the model represents a tangible step forward in Meta's AI capabilities.

“This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg reassured investors during the earnings call. He added that the company now aims to develop more novel products, including two AI agents—one for personal use and another for business applications. According to Zuckerberg, early testing of business AIs has shown promising results, with weekly conversations growing tenfold since the start of 2026. The company is also integrating AI into its core advertising and recommendation systems. CFO Susan Li noted that over half a billion weekly users on Facebook and Instagram are now watching videos translated and dubbed by AI. The recommendation system is being upgraded to hyper-personalize feeds, improving engagement for users and value for advertisers.

“Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

Internal Transformation and Layoffs

AI is not only reshaping Meta's products but also its internal operations. The company has announced plans to lay off 10% of its workforce and is reportedly offering voluntary buyouts to 7% of its U.S. staff. This move aligns with a broader trend in Silicon Valley, where companies are increasingly turning to automation to reduce headcount. During the earnings call, executives declined to directly attribute the layoffs to job automation, but Li indicated that a “leaner operating model” would help offset the substantial investments being made. The cuts are seen as part of a strategic shift to redirect resources toward AI development, even at the expense of traditional roles.

The layoffs have sparked debate about the impact of AI on employment. Recent studies have shown that jobs with high AI exposure are beginning to disappear, albeit slowly. A study published earlier this year found that students are learning less and receiving higher grades due to AI, raising concerns about the future of the workforce. For Meta, the cost savings from workforce reductions could help mitigate the financial strain of its massive AI spending, but the company faces the challenge of maintaining innovation while managing employee morale.

The Broader Implications

Meta's spending spree is part of a larger pattern across the tech industry. Power prices in the eastern United States have spiked 76% thanks to AI data centers, according to a report that calls the impact significant and irreversible. The global memory chip shortage has also driven up costs for consumer electronics, affecting millions of households. Meanwhile, competitors like Google and OpenAI are making their own moves. OpenAI, which has fallen behind in certain areas, is reportedly looking to blame Apple for its struggles, while Trump's recent discussions with Xi Jinping about AI safety guardrails highlight the geopolitical dimensions of the technology.

Meta's $145 billion gamble on AI represents a high-stakes bet that the technology will eventually deliver returns that justify the investment. With the Metaverse experiment still failing to gain traction, the company's future now hinges on whether its AI catch-up efforts can close the gap with rivals. The next few quarters will be critical as Meta rolls out its AI agents, expands Muse Spark into open-source, and continues to integrate AI into every facet of its business. Investors are watching closely, and the market's reaction suggests that patience may be wearing thin. Yet, Zuckerberg remains confident, betting that the AI revolution will ultimately reward those who invest the most.

Source: Gizmodo News