Meta's AI Spending: 3 Metrics to Watch Before You Buy META

Meta Platforms is going all-in on artificial intelligence, with CEO Mark Zuckerberg calling it a generational opportunity. The company plans to spend $135 billion to $145 billion on capital expenditures in 2026 alone, and that number is expected to rise further. This massive investment is already taking a toll on profitability: last quarter, Meta's operating margin was cut in half to 20%, down from 40% a year earlier, and free cash flow turned negative at -$2.1 billion.

Despite the spending, there are signs of progress. Advertising revenue jumped 25.9% year over year, driven by a 10% increase in ad impressions and a 14% rise in average price per ad. AI is helping to improve engagement and ad targeting, though it's hard to isolate how much of this growth is directly attributable to AI versus Meta's existing momentum.

Meta is also launching new AI-powered products. Its Muse AI agent, launched in September, attracted 10 million users in the U.S. and Canada within six weeks, with 25% using it daily. The company also introduced its first frontier model, Muse Wonder, and an enterprise platform for corporate clients. However, monetization of these products remains uncertain.

On the cash flow front, operating cash flow grew 21.7% year over year through the first nine months of 2026, but that lagged the 72% growth in capex. This gap means Meta is burning cash, and the company recently announced plans to raise nearly $100 billion in equity capital to fund its AI build-out. Investors will need to be patient for the payoff.

The key question for investors is whether Meta's massive AI investments will eventually translate into sustainable revenue and profit growth. So far, the spending has pressured margins and cash flow, which could weigh on the stock price in the near term. However, if Meta can successfully monetize its AI initiatives—through improved ad performance and new products—the long-term upside could be substantial.

Advertising remains Meta's core business, and AI is already enhancing its ad platform. If AI can continue to drive engagement and advertiser returns, ad revenue could accelerate, justifying the spending. But competition from other tech giants like Google and Amazon in AI is fierce, and Meta must prove its investments can deliver a competitive edge.

New products like Muse and the enterprise platform represent new revenue streams, but they are still in early stages. The market will be watching for signs of meaningful monetization, which could take years. In the meantime, the negative free cash flow and equity raise could dilute shareholders and limit financial flexibility.

Operating cash flow trends are critical. If OCF growth continues to lag capex, Meta's cash burn will persist, potentially leading to further capital raises or reduced shareholder returns. Investors should monitor these metrics closely to gauge whether Meta's AI bet is paying off.