9/ None of this means NVIDIA is weak.
$NVDA is extremely strong:
• Dominant AI ecosystem
• CUDA moat
• Massive developer base
• Full-stack AI infrastructure
• Rapid product innovation
• Explosive data-center demand
$62.3B in quarterly data-center revenue. +75% YoY.
The risks are real.
But NVIDIA is still the king of AI.
$NVDA thread: The risks nobody wants to talk about.
NVIDIA is arguably the most important company in AI.
But the bigger the AI infrastructure boom gets, the more ways there are for the bull case to break.
Here are the risks I’m watching closely. 👇
8/ And here's the risk I think deserves MORE attention: financing. 💰
NVIDIA isn't simply selling chips into the AI buildout.
It has increasingly become involved in financing and supporting the infrastructure ecosystem around its customers.
That creates a different type of risk:
What happens if the customers building all this capacity can't generate enough returns to justify it?
Amazon's Zoox is making massive progress by officially launching its first paid, commercial robotaxi service in Las Vegas.
This marks a major shift from giving free experimental rides to running a real, revenue-generating business.
$NVDA is setting up for something big. 👀
Look at the chart.
The uptrend is still intact. Support is holding. The stock is sitting near a key level right before earnings.
And earnings could be the catalyst.
If NVDA beats and raises guidance, I want to be positioned for the move.
My play:
Deep ITM LEAP calls → capture the bigger move with time on my side.
I’m NOT selling calls before earnings.
Let NVDA make its move first.
Then, after earnings, if the trend holds:
Sell OTM calls against the LEAP → collect premium while still holding the long-term bullish position.
The goal?
Catch the breakout. Then get paid while you wait for the next one. 🚀
$NVDA
6/6 — THIS IS THE BIGGER TRADE
AI → Data Centers → Electricity → Generation → Transmission → Grid
NVIDIA and several major energy companies are already working together on AI factories and new power-generation strategies.
The AI boom is creating an electricity arms race.
The companies selling the power could be the next pick-and-shovels of AI. ⚡️🇺🇸
$CEG $VST $TLN $NEE $AEP
1/6 ⚡️ AI’s next bottleneck isn’t chips.
It’s electricity.
AI data centers are consuming massive amounts of power, and the companies that actually generate that power could become some of the biggest winners of the AI boom.
Here are 5 names I’m watching:
$CEG $VST $TLN $NEE $AEP
5/6 — $NEE & $AEP
$NEE is building massive amounts of new generation and storage.
It’s part of a $100B data-center campus project in Kentucky that could eventually support up to 4.6 GW of dedicated generation.
$AEP is the grid play.
Because generating electricity means nothing if you can't get it to the data center.