Here are the key takeaways from a great post by Kris Patel on X: 🔥 $GOOGL vs. $NVDA — The Market is mispricing the AI War.
Everyone’s arguing about who has the fastest chip. But that’s not the real disruption. Google isn’t trying to beat Nvidia on speed. Google is trying to beat Nvidia on economics. Here’s the overlooked truth: 1️⃣ The “Nvidia Tax” Nvidia sells to hyperscalers with 70%+ margins. AWS, Azure, and everyone else pay it, and pass it on to you. 2️⃣ Google plays a different game They’re the only hyperscaler that doesn’t need to profit from selling chips. They build TPUs at cost and control the entire stack: Chip → Interconnect → Data Center → Cloud. No margin stacking. No tax. 3️⃣ Training ≠ Inference Training = Ferrari (Nvidia dominates). Inference = Semi-truck (cheap, reliable, scaled). As AI matures, ~90% of spend shifts to inference. And here’s the bombshell: 👉 If Google drives cost-per-token toward zero with TPUs + aggressive cloud pricing… Raw speed stops mattering. Economics wins. Nvidia is selling generators. Google is building the electric grid. Cheap compute + massive distribution = 🏰 Empire. Source: Kris Patel
Nvidia responds to news of Meta using Google's TPUs, sending $NVDA stock -6% lower:
Nvidia says they are "delighted by Google's success" and they "continue to supply Google." They also say, "Nvidia is a generation ahead of the industry" and "offers greater performance, versatility, and fungibility." The AI wars are heating up. Source: The Kobeissi Letter
Anthropic unveils Claude Opus 4.5, its most intelligent model to date, co says
It’s meaningfully better at everyday tasks like working with slides and spreadsheets. The new AI tops coding benchmark, leading in key tests like SWE-bench Verified at 80.9%, Terminal-bench 2.0 at 59.3%, and OSWorld at 66.3%, beating models from Google and OpenAI in coding, agent tasks, and computer use. It features a 200K token context window, uses far fewer tokens for the same work, and costs much less at $5 per million input tokens. Developers can now access it through APIs, apps, and platforms like Amazon Bedrock and GitHub Copilot, with engineers noting its strength on complex bugs. Source: CNBC-TV18
In case you missed it...
Oracle $ORCL is now approaching its largest drawdown in a decade Source: Shay Boloor @StockSavvyShay
The latest ADP numbers are out and show that over the four weeks ending November 8, 2025, US private employers shed an average of 13,500 jobs per week.
📉 Inflation Isn’t the Story Anymore The Fed’s dual mandate is price stability + maximum employment — and the employment side is flashing red for the first time in years. 💡 And the Market Is Catching On Just 1–2 weeks ago, a December rate cut was basically dismissed. Markets were pricing in 30–42% odds. Then NY Fed President John Williams spoke on Friday — and he all but signaled, in classic Fed-speak, “We need to cut.” He pointed to rising downside risks in employment and fading risks in inflation. 🔍 Fast forward to this yesterday’s data: prediction markets now show an 85% chance of a December rate cut. Source: StockMarket.news
Magnificent 7s Cash Position💰:
$MSFT: $102 Billion $GOOGL: $98 Billion $AMZN: $94 Billion $NVDA: $56 Billion $AAPL: $55 Billion $META: $44 Billion $TSLA: $41 Billion Patient Investor @patientinvestt
An incredible ride $GOOGL 🚀
Source: Trend Spider
🚀 Big Tech Is Carrying the Entire Stock Market — Literally
Alphabet ($GOOGL) has been the single biggest driver of the S&P 500 this year… accounting for 19.4% of the index’s entire YTD gain. That’s what happens when you add $1.3 trillion in market cap in 11 months. Right behind it? Nvidia ($NVDA): +16.0% contribution (+$1.05T) Broadcom ($AVGO): +$520B Microsoft ($MSFT): +$380B Together with the rest of the mega-cap giants, the top 10 stocks now make up 59.4% of the S&P 500’s total gain this year. Which means the other 490 companies combined contributed just 40.6%. Source: The Kobeissi Letter, econovisuals
