Microsoft jumped nearly 10% and Meta fell just as much after earnings on the same night. Here's what split the AI trade and what it means for Indian tech stocks.
On the night of July 29, 2026, Microsoft and Meta reported their quarterly results within minutes of each other in the US. Both companies belong to the same club of hyperscalers pouring tens of billions of dollars into AI infrastructure every quarter. Both have been treated by the market as core AI bets for nearly three years now. And yet, when the numbers hit screens, one stock rocketed higher and the other fell hard in the same after-hours session. Microsoft closed up close to 10 percent, having touched gains of almost 15 percent at one point intraday. Meta dropped close to 9.6 percent in after-hours trading. For anyone who tracks how global cues shape Nifty's opening gap every morning, this was exactly the kind of overnight event that gets discussed on trading desks in Mumbai long before GIFT Nifty even opens.
Microsoft's fiscal fourth quarter revenue came in at $90.01 billion, roughly Rs. 8.6 lakh crore at current exchange rates, comfortably ahead of the $87.62 billion analysts had pencilled in. That alone would have made for a decent quarter. What actually moved the stock was Azure. Cloud revenue grew 43 percent at constant currency, beating Street estimates of around 40 percent, and Microsoft confirmed that Azure's full-year revenue for fiscal 2026 crossed $100 billion for the first time ever. The Intelligent Cloud segment, which houses Azure, brought in $39.31 billion, up 32 percent year on year.
The number that really got analysts talking was commercial remaining performance obligation, essentially contracted future revenue that customers have already signed up for. That figure jumped 84 percent to $678 billion, close to Rs. 64.7 lakh crore. Copilot, Microsoft's AI assistant product, crossed 30 million paid seats. Put simply, Microsoft did not just say AI demand exists. It showed a backlog of paying customers large enough to fund years of continued AI spending without stretching its balance sheet. That combination, along with operating income growing exactly in line with revenue rather than eating into margins, is what sent the stock sharply higher the moment trading resumed.
Meta's numbers told a very different story despite also beating on revenue. The company posted $60.80 billion in revenue, up 28 percent year on year, roughly Rs. 5.81 lakh crore. But earnings per share came in at $6.18, well short of the roughly $7.17 analysts expected, a miss of nearly 14 percent. Operating margin fell to 31 percent from 43 percent a year earlier, as total expenses climbed 55 percent against that 28 percent revenue growth.
Free cash flow told the sharpest version of the story. Meta generated $31.9 billion in operating cash flow for the quarter but was left with only about $784 million, close to Rs. 7,500 crore, after AI infrastructure spending. The company also guided third quarter revenue to $61 billion to $64 billion, roughly Rs. 5.83 lakh crore to Rs. 6.11 lakh crore, with the lower end sitting below what Wall Street had modelled, and narrowed its 2026 capex range to $130 billion to $145 billion, close to Rs. 12.4 lakh crore to Rs. 13.85 lakh crore. Unlike Microsoft's Azure backlog, Meta's AI spending, from its superintelligence research lab to its own data centre buildout, is still largely a bet on future products rather than a contracted, monetised pipeline today. That difference is exactly what the stock price punished.
Here is a simple comparison of what each company actually reported on July 29, 2026.
| Metric | Microsoft | Meta |
|---|---|---|
| Quarterly Revenue | $90.01 billion (~Rs. 8.6 lakh crore), up 17.75% YoY | $60.80 billion (~Rs. 5.81 lakh crore), up 28% YoY |
| Margin Signal | Operating income grew in line with revenue | Operating margin fell to 31% from 43% a year ago |
| EPS vs Estimate | Beat on both revenue and profit | $6.18 actual vs ~$7.17 expected, a miss |
| Key AI Metric | Azure up 43% (cc), crossed $100B FY26 revenue; Copilot at 30 million paid seats | 2026 capex narrowed to $130-145B (~Rs. 12.4-13.85 lakh crore), still pre-monetisation |
| Forward Guidance | Commercial RPO up 84% to $678B (~Rs. 64.7 lakh crore) | Q3 revenue guided $61-64B (~Rs. 5.83-6.11 lakh crore), light at lower end |
| Stock Reaction | Up close to 10% (touched ~15% intraday) | Down close to 9.6% in after-hours trading |
The gap between the two stocks on the same night looked like this.
Zoom out and the split is not really about who spent more on AI. Both companies are spending enormous sums, and neither is slowing down. It is about the distance between spending and monetisation. Microsoft can point to Azure customers actually paying for compute today, a Copilot user base that has crossed 30 million paid seats, and a contracted order book that gives visibility years out. Meta, by contrast, is still asking investors to trust that its AI spending, much of it aimed at future products, will eventually show up in ad revenue and new consumer experiences the way Reels once did.
This is the same pattern that has been playing out across the broader semiconductor and AI infrastructure trade globally, including the reaction to China's chip sector listings rattling global semiconductor stocks earlier this year. Markets are no longer rewarding AI capex announcements by themselves. They want proof that the spending is converting into paying customers, and companies that can show that proof are being treated very differently from companies still asking for patience.
This story matters to Indian markets for a reason that is easy to miss. Microsoft and Meta are not part of the Nifty IT basket, so their results do not move TCS or Infosys the way an Accenture guidance cut once dragged the Nifty IT index down 3.65 percent in a single session. What this earnings night actually signals is different and, in some ways, more relevant to a newer pocket of the Indian market. Hyperscaler capital spending, the same billions Microsoft and Meta are pouring into servers, chips and data centres, is a direct input into how much business flows to India's AI data centre supply chain, a theme covered in detail in our piece on Indian stocks riding the AI data centre wave.
Microsoft alone has already committed close to $17.5 billion to Indian AI and cloud infrastructure, and that spending does not slow down just because its stock had a strong quarter. If anything, a validated monetisation story makes future capex commitments more likely, not less. The bigger question for Indian IT services names, tracked through the Nifty IT index, is a separate one: whether enterprise clients globally keep tightening discretionary technology budgets the way Infosys signalled with its own narrowed guidance in its recent results, even as AI infrastructure spending itself keeps accelerating in parallel.
Nights like this one are a good reminder of why global cues deserve more than a quick glance at Dow futures. A single earnings report from a US hyperscaler can move sentiment across an entire sector of the Indian market without a single Indian company reporting anything. Traders who track how India VIX reacts to sharp overnight moves will recognise the pattern. Volatility tends to spike first, well before the actual direction of the move becomes clear in Nifty's cash price. Add to that India's own growing AI and semiconductor investment story, visible in projects like the one covered in our piece on Tata's semiconductor and steel investment push, and it becomes clear that global AI capex decisions and India's domestic industrial buildout are now more connected than they were even two years ago.
For F&O traders, the immediate takeaway is to separate the two AI stories rather than trading them as one theme. Data centre and infrastructure names tied to hyperscaler capex are getting a tailwind regardless of which specific US company's stock moved up or down on a given night, since the underlying spending keeps flowing either way. IT services names remain a separate bet, tied more closely to enterprise discretionary budgets than to how much Microsoft or Meta spends on GPUs.
Long-term investors watching Indian AI infrastructure stocks should treat nights like July 29 as a genuine data point rather than noise. When a company as large as Microsoft can show a contracted revenue backlog of Rs. 64.7 lakh crore, it validates that hyperscaler AI spending has real staying power, which is the single most important assumption behind India's entire data centre investment theme right now.
Disclaimer: This article is for informational and educational purposes only and does not constitute investment advice. Stock prices, currency conversions and financial figures mentioned are based on publicly available information as of July 31, 2026 and are subject to change. Please verify current prices and financials from official exchange sources and consult a SEBI-registered investment advisor before making any investment decisions.
Microsoft showed a large, contracted revenue backlog from Azure and Copilot that proves AI spending is already converting into paying customers. Meta's costs grew faster than its revenue and its near-term guidance came in lighter than expected, so investors read its AI spending as still unproven.
Not directly, since neither company is part of the Nifty IT index. It matters more for India's AI data centre and infrastructure supply chain stocks, which benefit from continued hyperscaler capital spending regardless of which company's stock moved up or down.
Meta reported revenue of $60.80 billion, up 28 percent year on year, but earnings per share of $6.18 missed the roughly $7.17 analysts expected, and operating margin fell to 31 percent from 43 percent a year earlier.
Azure grew 43 percent at constant currency and crossed $100 billion in full-year revenue for fiscal 2026 for the first time, while commercial remaining performance obligation jumped 84 percent to $678 billion, giving Microsoft years of visible future revenue.
It supports the case that hyperscaler AI spending has real staying power, which underpins India's data centre investment theme, but valuations across that theme remain high and individual stock risk should still be assessed separately.