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Last week supplied the first hard evidence that AI growth could still disappoint when investment overwhelmed cash generation. This week showed the other side.
Microsoft and Amazon surged because faster cloud growth gave investors a clearer path from data-center spending to revenue and profit. Meta and Apple were punished for less convincing near-term economics. The Federal Reserve and oil kept the market’s valuation hurdle high, but earnings decided the winners.
🎉 40 Editions In
This week marks the 40th edition of Mag7News.
Thank you to everyone who has opened an issue, shared it, sent feedback, or made Mag7News part of their Sunday routine. What began as a focused look at seven companies has grown into a broader effort to explain how Big Tech, AI, and markets connect without turning every headline into hype.
The first 40 editions built the foundation. The next chapter starts now.
📸 Snapshots
📊 Mag 7 ETF Snapshot - 7/24 → 7/31
ETF (Ticker) | % Change |
|---|---|
Roundhill Magnificent Seven (MAGS) | 📈 +4.40% |
📊 Mag 7 Snapshot - 7/24 → 7/31
Company (Ticker) | % Change |
|---|---|
📈 +11.40% | |
📈 +17.00% | |
📉 -7.20% | |
📈 +21.80% | |
📉 -6.50% | |
📉 -2.90% | |
📉 -0.60% |
📊 Index Snapshot - 7/24 → 7/31
Company (Ticker) | % Change |
|---|---|
Dow (^DJI) | 📈 +1.00% |
NASDAQ (^IXIC) | 📈 +1.60% |
S&P (^GSPC) | 📈 +1.00% |
🌐 Shared Catalysts
Free cash flow became the scorecard. Microsoft produced $19.6 billion of free cash flow, the cash remaining after running and investing in the business. Meta produced just $784 million.
Public clouds earned more patience. Azure grew 43% and AWS grew 37%, giving Microsoft and Amazon a direct way to sell the infrastructure they are building.
The supplier-versus-funder split flipped. Microsoft and Amazon soared while Nvidia declined, showing that neither side of the AI buildout is automatically rewarded.
Rates still mattered. The Fed held its target range at 3.5%–3.75%, while higher oil prices and Treasury yields kept pressure on companies promising returns far into the future.
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The Magnificent Seven
💻 Microsoft (MSFT)
Microsoft gave investors the clearest answer to last week’s cash-flow question.
What happened: Revenue rose 18% to $90 billion, while Azure and other cloud services grew 43%. Microsoft paid $35.8 billion for property and equipment during the quarter but still generated $19.6 billion in free cash flow.
Why it mattered: Investors saw evidence that rising AI infrastructure costs were being matched by cloud demand and cash generation.
Impact: Microsoft showed that large AI spending can be rewarded when customers are already paying to use the resulting capacity.
📦 Amazon (AMZN)
Amazon proved that the market will tolerate heavy spending when AWS accelerates fast enough.
What happened: Sales rose 20% to $200.6 billion, operating income climbed 43%, and AWS revenue grew 37% to $42.2 billion. Amazon’s trailing free cash flow remained negative because spending on property and equipment increased sharply..
Why it mattered: Investors focused on faster AWS growth and operating profit instead of treating the cash outflow as an automatic warning.
Impact: Amazon did not eliminate the spending question, but it showed that strong cloud economics can outrun it.
🍎 Apple (AAPL)
Apple delivered a strong quarter, then lost investors on what came next.
What happened: Revenue rose 16% to $109.4 billion, with quarterly records for iPhone, Mac, and Services revenue. Shares still fell after Apple’s next-quarter growth outlook disappointed and component shortages connected to the AI infrastructure boom limited supply. Tariff refunds also added roughly two percentage points to the reported gross margin.
Why it mattered: Investors questioned how much of the quarter’s strength could carry forward without temporary help.
Impact: Apple’s problem was not current demand; it was confidence in the durability of its growth and margins.
🕶 Meta (META)
Meta showed why similar AI spending can receive a very different market verdict.
What happened: Revenue rose 28%, but costs increased 55% and operating margin fell from 43% to 31%. Free cash flow dropped to just $784 million, even as Meta continued expanding its computing infrastructure.
Why it mattered: dvertising remained strong, but Meta lacks a large public cloud business that can rent out capacity and demonstrate a direct near-term return.
Impact: The cash-flow test is especially difficult when AI infrastructure is being built mainly for products that have not yet produced clear new revenue.
🔍 Alphabet/Google (GOOGL)
What happened: Alphabet rebounded as Microsoft and Amazon’s results made last week’s spending-driven selloff look less like an isolated warning and more like a test each cloud company could answer differently.
💾 Nvidia (NVDA)
What happened: Nvidia declined even as hyperscaler results confirmed strong computing demand. The move showed that demand validation does not automatically protect suppliers from valuation and financing concerns.
⚡ Tesla (TSLA)
What happened: Tesla stabilized after the previous week’s sharp earnings selloff, but there was no new catalyst strong enough to resolve questions about margins, investment, and free cash flow.
🔗 Mag7-Linked Stocks
Eaton (ETN): Electrical Americas orders rose 41%, while backlog increased 33%, providing another signal that power equipment demand remains strong as hyperscalers expand data centers.
Impact: The AI buildout is supporting companies that supply electricity and power-management equipment, not only chipmakers.
Micron (MU): Micron and other chip stocks sold off after SK Hynix reported record profit that still fell short of elevated expectations. The reaction showed how much future AI demand is already assumed in memory-stock prices.
Impact: Suppliers can report strong demand and still fall when investors expected something even stronger.
🌊 Ripple Effect (market wrap)
Investors were not rejecting AI spending altogether. They were separating companies with a visible revenue path from those asking for more time.
Public-cloud businesses have an advantage because they can rent computing capacity to outside customers while using the same infrastructure internally.
Strong Eaton orders showed that demand is flowing into power equipment, while the memory selloff showed that high expectations can still overwhelm strong underlying demand.
Oil and interest rates remain part of the AI equation. More expensive energy and financing raise the cost of waiting years for an investment to pay off..
🔮 What’s Next
Tuesday, August 4: AMD earnings. Watch data-center accelerator demand and evidence that Microsoft, Meta, and other customers are diversifying beyond Nvidia.
Tuesday, August 4: June job openings. A strong reading could reinforce expectations that interest rates stay elevated, increasing the pressure on expensive growth stocks.
Friday, August 7: July employment report. Jobs and wage growth will shape the next debate over inflation, rates, and Big Tech valuations.
August 26: Nvidia earnings. Nvidia will face the same question its customers just answered: Is demand growing quickly enough to justify the expectations already built into the stock?
🧩Closing Insights
The market did not abandon AI spending. It demanded a better receipt.
Microsoft and Amazon showed that fast cloud growth can buy patience. While Meta showed that strong revenue alone may no longer be enough.
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