S&P Global revises Meta outlook to negative over cash flow, capex uncertainty

Why This Matters

• S&P's negative outlook signals that even the largest tech firms face growing scrutiny over their AI spending, potentially affecting investor confidence across the sector.
• Meta's rising leverage, driven by data-centre leases, could set off a chain reaction if it triggers a credit rating downgrade, limiting future borrowing capacity.
• The diverging strategies among hyperscalers, renting out compute capacity versus building advertising and consumer AI products, will determine which companies can sustain the spending.

Background

The AI boom has prompted massive capital expenditure from technology giants racing to build and operate data centres for large language models. Meta has committed to especially heavy spending, choosing to lease much of its capacity rather than constructing its own facilities, a strategy that has pushed up its leverage ratios even if it offers operational flexibility. S&P Global's downgraded outlook is one of the clearest signals yet that rating agencies are beginning to factor the long-term financial sustainability of those investments into their assessments.

Key Perspectives

S&P Global: Revised its outlook on Meta to negative, citing negative cash flow and uncertainty around capital expenditure plans; warned leverage could exceed the 1.0x threshold that supports the current AA- rating by 2027.

Meta: A spokesperson said its AI investments are already delivering stronger engagement and greater returns for businesses, pushing back against the agency's concerns.

Ed Yardeni: The market veteran argues that constraints on capital, power and politics could actually prolong the AI boom, a contrary view to those focused on the risk of a bust.

What to Watch

• Whether Meta's next earnings reports show any improvement in free operating cash flow or a moderation in its capex trajectory.
• The possibility that S&P downgrades Meta's actual credit rating if leverage breaches the 1.0x threshold in 2027.
• How the broader market, including other rating agencies and major investors, responds to the widening gap between AI investment and proven revenue.