Follow the Capital Expenditures (CapEx)
This is your first and biggest clue. Capital expenditures, or CapEx, represent money spent on physical assets like servers, data centers, and the custom chips needed to power AI. When a company’s CapEx skyrockets, it’s making a massive long-term bet.
For 2026, Meta has guided its CapEx to a jaw-dropping range of $125 billion to $145 billion. That's nearly double its spending in 2025. This number is the clearest indicator of the hardware investment required to build out its AI infrastructure. After Meta raised this guidance in its first-quarter report, the stock dropped, signaling that Wall Street is getting nervous about the scale of this spending. Any change to this forecast in an earnings report is a major signal about the company's AI cost trajectory.
Dissect the Operating Expenses (OpEx)
If CapEx is the hardware, operating expenses are the cost of running the machine, especially the people. The key line item to watch here is Research and Development (R&D). This figure includes the multi-million dollar salaries of the thousands of highly sought-after AI engineers and data scientists Meta employs. While the company doesn't break out AI-specific R&D, you can look for clues in its overall headcount and hiring priorities. For instance, Meta has undergone significant restructuring to pivot its workforce toward AI, laying off thousands in some areas while reassigning thousands of others to AI-focused roles. An increase in R&D spending, paired with commentary about hiring in AI, shows the human capital cost of its ambitions.
Listen to What the Executives Say (and Don't Say)
The numbers tell part of the story, but the quarterly earnings call provides the narrative. Pay close attention to the prepared remarks from CEO Mark Zuckerberg and CFO Susan Li, and the subsequent Q&A with analysts. Zuckerberg has been on an “optimism offensive,” framing Meta's AI investments as essential for connecting people. Yet, in more candid internal meetings, he has reportedly admitted that the AI push hasn't progressed as quickly as hoped. This tension between public confidence and internal reality is critical. Listen for keywords like “efficiency,” “investment horizon,” and “monetization.” Phrases about a path to profitability or timelines for seeing a return on AI investments are golden nuggets of information that reveal the company's own view of the cost pressure.
Use Reality Labs as a Barometer
Meta’s Reality Labs division, responsible for the metaverse and virtual reality headsets, is a perfect case study in the company’s tolerance for massive financial losses in pursuit of future technology. The division has consistently lost billions of dollars each quarter, accumulating operating losses of more than $80 billion since 2020. In the first quarter of 2026 alone, it posted a loss of over $4 billion. While this isn’t a direct AI cost, it’s a powerful proxy for Meta’s willingness to burn cash. Recently, the company's CFO noted that investment in VR would decrease as the focus shifts toward wearables and AI-powered smart glasses. Watching how Meta manages the losses in Reality Labs gives you a sense of its overall financial discipline and how long it’s prepared to fund its AI gamble before demanding a return.
