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Weekly Vibe
Nvidia gave investors the strongest evidence yet that AI infrastructure demand is still accelerating. Then Fed Chair Kevin Warsh reminded the market that sticky inflation can make even spectacular growth less valuable when interest rates stay high or rise again.
The result was a strange but positive week: the Mag7 basket gained 2.7%, even after Friday took some air out of Thursday’s AI rally.
📸 Snapshots
📊 Mag 7 ETF Snapshot - 8/21 → 8/28
ETF (Ticker) | % Change |
|---|---|
Roundhill Magnificent Seven (MAGS) | 📈 +4.45% |
📊 Mag 7 Snapshot - 8/21 → 8/28
Company (Ticker) | % Change |
|---|---|
📈 +0.50% | |
📈 +3.00% | |
📈 +3.30% | |
📈 +6.30% | |
📈 +5.10% | |
📈 +1.30% | |
📉 -3.90 |
📊 Index Snapshot - 8/21 → 8/28
Company (Ticker) | % Change |
|---|---|
Dow (^DJI) | 📈 +0.50% |
NASDAQ (^IXIC) | 📈 +0.80% |
S&P (^GSPC) | 📈 +0.50% |
🌐 Shared Catalysts
AI demand stayed enormous: Nvidia more than doubled quarterly revenue, while AWS committed to another 2 million Nvidia GPUs for 2027 and 2028.
Rates remained the counterweight: July PCE inflation held at 3.7%, and Warsh said controlling prices should remain the Fed’s main focus.
AI enthusiasm spread beyond chips: Salesforce’s earnings offered evidence that companies are also beginning to generate meaningful revenue from AI software.
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The Magnificent Seven
💾 Nvidia (NVDA)
Nvidia answered the AI-slowdown question with another acceleration.
What happened: Revenue reached $96.2 billion, up 106%, while Data Center revenue jumped 117% to $89 billion. Nvidia also guided the current quarter to roughly $108 billion as demand continues to outrun available supply.
Why it matters: Last Sunday, Nvidia earnings were the biggest test for whether the AI infrastructure boom was beginning to slow. The answer, for now, was no.
Impact: The debate is shifting from whether demand exists to how quickly Nvidia and its suppliers can physically meet it.
Read More: Nvidia’s Q2 results and outlook
🕶 Meta (META)
One of Meta’s largest legal risks finally got a price tag.
What happened: Meta reached an agreement with 52 attorneys general involving roughly $18 billion over 10 years and expects about a $10 billion third-quarter legal charge. Teen accounts will also face new time limits, nighttime blocks and school-hour notification restrictions.
Why it matters: The settlement is expensive, but it turns an open-ended legal fight into a more measurable financial and product obligation.
Impact: Meta reduced a major uncertainty without being forced to dismantle the advertising business that pays the bills.
Read More: Meta’s settlement and new teen protections
📦 Amazon (AMZN)
AWS just made it harder to argue that AI infrastructure spending is near a peak.
What happened: Amazon and Nvidia plan to deploy 2 million additional Nvidia GPUs across AWS during 2027 and 2028, on top of more than 1 million already planned. The partnership is also expanding into networking, CPUs, models and robotics.
Why it matters: Amazon is developing its own Trainium chips while simultaneously making enormous Nvidia commitments. Those strategies can coexist while demand for computing capacity remains this high.
Impact: AWS is betting that customers will still need dramatically more AI computing power several years from now.
Quick Moves
🔍 Alphabet/Google (GOOGL)
What happened: Alphabet was quieter, but one of last week’s biggest Google-linked stories received a reality check from Marvell earnings.
🍎 Apple (AAPL)
What happened: Apple introduced an M6 Mac mini and new Mac Studio focused heavily on running AI locally on devices, but the launch was not one of the week’s defining market catalysts.
💻 Microsoft (MSFT)
What happened: Microsoft led the Mag7 despite lacking one dominant company-specific headline. Strong Nvidia and Salesforce results helped the broader enterprise-AI trade recover.
⚡ Tesla (TSLA)
What happened: Tesla was the only Mag7 decliner. No company development this week was strong enough to replace the larger AI, regulatory and rates stories.
🔗 Mag7-Linked Stocks
Marvell (MRVL): Marvell reported record revenue of $2.74 billion, up 37%, with Data Center growth accelerating to 46%. Yet shares fell more than 10% Friday as investors questioned how quickly major custom-chip programs, including its expanded Google relationship, will turn into revenue.
Impact: Last week’s Google-chip opportunity still looks large, but investors just put a much tighter clock on the payoff.
Read More: Marvell’s Q2 results
Salesforce (CRM): Salesforce reported $11.3 billion of revenue, while Agentforce annual recurring revenue topped $1.5 billion. Shares surged 22.6% Thursday.
Impact: For Microsoft and the wider software sector, Salesforce offered evidence that AI can become revenue, not merely a bigger computing bill.
Read More: Salesforce’s record Q2 results
🌊 Ripple Effect (market wrap)
Nvidia’s quarter became a demand signal for the wider chip, memory, networking and data-center supply chain, not just Nvidia itself.
Meta’s settlement reaches beyond Meta: about $5.3 billion of its payment is conditional on YouTube and TikTok adopting specified teen protections and making matching payments.
Amazon’s huge Nvidia order shows why custom chips such as Trainium and Google’s TPUs are not replacing GPUs overnight. Hyperscalers currently need both.
Apple’s new Macs show the other side of AI computing: more processing is also moving onto personal devices rather than staying entirely inside giant data centers.
🔮 What’s Next
Tuesday, Sept. 1: JOLTS. Another labor-market read matters because Warsh just put a possible September rate hike firmly back into the conversation.
Wednesday, Sept. 2: Broadcom earnings. Watch custom AI chips and networking. Broadcom can either reinforce Nvidia’s demand signal or show that individual AI programs are ramping at different speeds.
Friday, Sept. 4: August jobs report. July payrolls unexpectedly fell 23,000, making the next employment report especially important for the Fed’s September decision.
🎥Video Links
🧩Closing Insights
Nvidia showed that the AI spending story still has room to run. The harder question is no longer whether customers want more computing power, but whether rising rates, supply constraints and enormous costs eventually make that growth harder to justify.
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