The late-July 2026 earnings season did not punish Big Tech for its massive AI spending; it punished spending without a contract. A sharp divergence has emerged, rewarding companies whose AI capital expenditure is tied to existing, legally-binding customer backlogs while penalizing those investing heavily in pre-monetization models source. This isn’t a rejection of AI investment itself, but a strict valuation discipline in a high-interest-rate world.
The Market’s Clear Verdict on AI Spending
Following their earnings reports, the market reaction was swift and clear. Investors sent Microsoft shares soaring between 8% and 16% and Amazon shares up as much as 10% source. In stark contrast, Meta Platforms saw its stock fall 9.6% as its free cash flow came under pressure from soaring AI costs source. Alphabet also faced investor skepticism over the scale of its spending relative to immediate, contracted returns source.
RPO: The Metric Separating AI Spending Bets
The key differentiator lies in a balance sheet metric: Remaining Performance Obligations (RPO). This figure represents the total value of contracted future revenue that has not yet been recognized. It is, in effect, a company’s commercial backlog. Microsoft’s latest 10-K filing for the period ending June 30, 2026, revealed a colossal commercial RPO of $678 billion source.
This shows that Microsoft’s and Amazon’s AI infrastructure spending is largely to service this enormous, pre-sold demand for their Azure and AWS cloud platforms source. The spending is de-risked because it’s tied to existing contracts. Conversely, the market perceives the AI spending at Meta and Alphabet as more speculative, focused on building internal models like Llama and Gemini that lack a directly corresponding, pre-sold enterprise backlog source.
Why Contracted AI Spending Wins in a Hawkish Fed Era
This valuation gap is magnified by the macroeconomic environment. The Federal Reserve’s decision on July 29, 2026, to maintain its restrictive monetary policy—a “hawkish hold”—keeps the cost of capital high source. In this climate, investors heavily discount the value of uncertain, long-term cash flows and place a premium on visible, near-term, contracted revenue source. The RPO-backed spending of Microsoft and Amazon provides exactly the kind of revenue certainty the market currently demands source.
What Remains Uncertain in the AI Spending Race
Several factors remain unclear. The ultimate timeline and profitability of monetization for Meta’s and Alphabet’s consumer-facing AI models are still significant open questions source. Furthermore, it is not guaranteed that the explosive growth in enterprise cloud demand, which fuels Microsoft’s and Amazon’s RPO, will continue at its current pace indefinitely. A slowdown in corporate IT budgets could impact future backlog growth.
Next Watchpoint: Q3 Filings and RPO Growth
For investors monitoring the sustainability of Big Tech’s AI spending, the next critical data points will arrive with the Q3 2026 10-Q filings, expected in late October. The key metric to watch will be the sequential growth rate of RPO at Microsoft and Amazon compared to their capital expenditure growth source. For Meta and Alphabet, the focus will be on any new disclosures regarding the monetization of their AI services and the trajectory of their free cash flow source.
—
Disclaimer: This article is for informational purposes only and does not constitute financial, legal, or tax advice. This article was researched and drafted with AI assistance. All investment decisions should be made with the consultation of a licensed professional. The author does not hold positions in any of the securities mentioned.
Want the full institutional-style PDF version? Enter your email for the free PDF.