Elon Musk, Jensen Huang & Larry Fink See One Critical AI Bottleneck: ELECTRICITY⚡️
The Top 7 Electricity-Themed Stocks Positioned for the Long-Term Tailwind. 👇
1. $GEV | GE Vernova
• Gas Turbine Generation + Grid Equipment
• Massive Backlog + FCF Growth
The White House just revealed the next critical investment theme.
President Trump’s new executive order restricting certain foreign-made transformers and grid equipment could be a game changer for these 10 U.S. stocks.
1. $TE | U.S. solar manufacturing. Developing its G2_Austin solar-cell facility to strengthen the U.S. solar supply chain. Q2 2026 net sales up 88% YoY.
Goldman Sachs expects data-center power demand to surge nearly 200% by 2030, making power one of AI’s biggest bottlenecks.
Top 10 stocks positioned to benefit:
1. $OKLO | Developing compact fast-fission powerhouses designed to provide clean power for data centers, industrial sites and the grid. Commercial reactor power generation has not started yet.
$NVDA's CEO is telling you to buy energy stocks.
"The largest infrastructure buildout in human history"
Data centers will go from 6% of US electricity to 20% by 2035.
Here are 6 stocks positioned to benefit: 🧵
3 years ago, Nancy Pelosi bought 50 $NVDA calls $120 strike with 1 year expiry.
She made $4,000,000+
45 days ago, she buys 15,000 shares $BE and $5M $BE call options. Her average is $181.
Here's the exact call option to take under $10:
These are 8 of the cleanest stocks in the entire market.
No real disruption risk, crazy CapEx spending, or weird accounting. Just pure cash generation that can compound for years.
1. $NOW
NVIDIA was $10 in 2022. Palantir was $8 in 2023. Both went up 20x times.
While everyone’s buying the same popular tech stock, there are 5 companies NOBODY is talking about that could hit similar returns.
Here's what they are + why I believe this:
1) NANO Nuclear Energy (NNE)
I’ve never posted my investment research in the public domain, but such is the interest in the Fed & Warsh I thought it might be useful to do so.
Here is a lightly edited version of what I sent to my clients last week.
Do let me know what you think.
https://t.co/4AUQSJYGin
$MSFT is still down on the year, and <20x my estimate of CY27 EPS. With Azure growing mid-high 40s, and M365 commercial ($100B business) soon to accelerate to the 20s, I think multiple expansion is warranted. The vast majority of MSFT revenue and profits are clearly benefitting from AI and the business will see earnings compound in the 25%+ range.
Why I’m so confident in >20% growth for M365 Comm’l in several quarters:
- Copilot adoption alone at current pace of +10M/seat per quarter, at a 25% discount to $30 list, will do it (I est. copilot is contributing ~4pt of growth today going to ~10pt NTM).
- Copilot seats additions are accelerating, and the math below assumes they stabilize at +10M/qtr.
- ARPU upside (1): MSFT new E7 SKU launched in May is a $100 SKU vs. a modeled standalone Copilot ARPU of +$30 (discounted 25%).
- ARPU upside (2): MSFT turned on consumption pricing for Copilot in July, some users will eat into consumption tier driving ARPU >$30.
- MSFT recently launched premium consumption add-on products, such as Project Perception, an autonomous cyber agent that hunts for threats and vulnerabilities. Security is the hottest spend category right now and I wouldn’t be surprised if Perception was a hit.
- Lastly and possibly most significantly, MSFT just took a series of price increases on M365 commercial, effective 7/1. It’s first price incr. since 2022. So core growth ex Copilot should accelerate.
7. $COHR - Coherent (-35%)
NVIDIA invested $2 billion directly into the company as part of a $4 billion bet on photonics. Coherent builds the lasers and optical transceivers that move data between GPUs. As clusters scale, the bottleneck moves from compute to interconnect, and NVIDIA is funding the fix.
An algorithm that turns $1 into $36 billion over 22 years sounds like a false headline right.
It's actually Table 3 of a University of Johannesburg working paper (Nkomo & Kabundi, ERSA 394), a Kalman-filtered, momentum-extended Anticor algorithm (K-ACM), backtested on NYSE data from 1962–1984.
No capacity constraints. 10bps in costs, full liquidity assumed.
The mechanism trade on deviation from Kalman trend, not raw returns is genuinely interesting. The headline number is a backtest artifact.
Bookmark this!
Two Anthropic engineers have just revealed in 24 minutes all the hidden Claude features that almost nobody knows about.
This video is going to completely change the way you use AI.
Watch it and save it.
Most investors are chasing the AI MEMORY BOOM.
I'm positioning for the entire AI BUILDOUT.
The next 10 YEARS AI buildout in phases:
2026–2027: BUILD THE FOUNDATION
AI Chips: $NVDA $AMD $AVGO $MRVL $INTC
Memory: $MU $SNDK $WDC
Photonics: $GLW $AAOI $NVTS
Networking & Connectivity: $ANET $QCOM
Infrastructure: $SMCI $DELL $NBIS
Data Centers: $IREN $HIVE $APLD
2028–2030: BUILD THE POWER
Grid: $PWR $HUBB $VRT
Electrification: $GEV $TE $ALB
Nuclear: $UUUU $SMR $OKLO
AI Applications: $CRM $NOW $SNOW
2030+: BUILD THE FUTURE
Robotics: $TSLA $SERV $SYM
Autonomy: $ACHR $JOBY
Drones: $AVAV $KTOS $ONDS
Defense: $LMT $NOC $PLTR
Space: $RKLB $ASTS $LUNR
Quantum: $IONQ $QBTS $RGTI
Those who FOLLOW will RETIRE EARLY
🚨 BREAKING: Google Gemini can now analyze any stock like a Wall Street analyst (for free).
Here are 10 insane Gemini prompts that replace $4,000/month Bloomberg terminals:
(Save this 🔖 you’ll need it later)