Chief Market Strategist @FuturumEquities | Regular on @Reuters, @YahooFinance, @Bloomberg, @FoxBusiness, @SchwabNetwork & @Forbes | NIA
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Joined February 2019
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TOP 5 POSITIONS IN MY GROWTH PORTFOLIO
1. $SITM supplying precision timing chips that keep faster AI networks synchronized
2. $AEHR testing powerful AI chips before they reach deployment
3. $CRDO moving data faster between chips & servers inside AI data centers
4. $RKLB creating a vertically integrated space platform across rockets, satellites, components & defense
5. $FPS delivering customized power equipment faster to get AI data centers online sooner
Shay Boloor retweeted
The most bullish part of $SPCX earnings was Elon revealing that new AI compute deployments are paying back in under a year while contracts are renewing at higher revenue per watt.
His "cheese shop" analogy explains why because when even $NVDA's newest GB300s and older H100s, $GOOGL TPUs and $AMZN Trainium are impossible to rent allowing companies bringing new capacity online have insane pricing power.
Shay Boloor retweeted
$NBIS CEO just pushed back on concerns about weakening AI compute pricing by saying “the prices are still there, demand is still there.”
He argues hard part isn’t finding customers but securing GPUs & bringing enough capacity online to meet that demand.
Shay Boloor retweeted
Jensen Huang says a 1 GW AI factory costs ~$50B but could generate ~$40B in annual revenue meaning every month of deployment delays ~$3.3B in potential revenue.
That puts $NVDA new DSX POD into perspective because cutting deployment from 4 months to roughly one month could bring forward over $10B in revenue per GW without needing additional GPUs.
Shay Boloor retweeted
$MU says each wave of AI is driving massive memory demand with ~4x more HBM per GPU for training, 30x annual context growth for agents and over 10x more DRAM in robotaxis.
AI is creating an entirely new level of demand across HBM, DRAM and storage as each wave builds on the last rather than replacing it.
Elon Musk says $TSLA plans to bring its next-gen AI5 chip to Optimus around April 2027.
The timing lines up with Tesla's planned Optimus production ramp in Texas later that year suggesting its next generation of robots is being built around AI5 from the start.
Elon Musk says $TSLA has started early Optimus production with most of its Fremont manufacturing line already installed.
He’s targeting ~20K robots per week within a year putting Tesla on pace for ~1M annually heading into 2028 if the ramp goes as planned.
$ONDS is expanding its partnership with $PLTR across Sentinel manufacturing, SkyWeaver autonomy and its new Regna AI platform with Palantir's software helping integrate DZYNE in just weeks.
That's a pretty big deal considering how aggressively Ondas has expanded through acquisitions and Palantir will play a huge role in turning those businesses into one integrated defense platform.
THE $ONDS OFFICIAL DEEP-DIVE EPISODE JUST DROPPED
What I think people are missing with Ondas is that management has spent last 18 months buying its way towards becoming an emerging defense prime spanning counter drone systems, long endurance surveillance, precision strike, ground robotics, manufacturing and the software connecting everything together.
That creates a massive opportunity for Ondas but it also makes the stock so difficult to own in 2026 because so much of that growth was acquired and financed through share dilution meaning management now has to prove these businesses can grow organically and become more valuable together than they were separately.
$RKLB is preparing Neutron's Stage 2 for shipment to Wallops Island for fluid testing & Archimedes engine installation.
Neutron may have slipped to 2027 but it's good to see upper-stage progress while Rocket Lab works through its first-stage dome issues.
$META is absolutely flying right now 👀
September 2026 was the month the $META narrative flipped from “behind in AI” to “consumer AI winner.”
In just a few weeks Meta launched Muse, took it to No. 1 on the App Store, added 15 small business connectors, launched an enterprise platform under CJ Desai, brought Muse to glasses and opened it to custom hardware.
Zuckerberg says Muse is still expensive to run but expects to "improve compute cost efficiency by more than 10-fold over the next year."
A big part of that comes from using spare compute $META already owns which could help make Muse profitable at scale even as total AI spending continues to grow.
$META just posted negative FCF for the first time in over a decade despite beating revenue estimates by over $1B as AI helped lift ad prices 14%.
That's the kind of cash burn I can get behind when Meta's core business keeps getting stronger and management is investing heavily in its next major growth engine.
Mark Zuckerberg says Muse could eventually generate more revenue per user than Facebook and Instagram with shopping already its most popular use and purchases averaging ~$200.
That could give $META an entirely new commerce business alongside its massive advertising platform.
$PLTR and $NVDA are expanding their sovereign AI partnership across defense, healthcare and industry by combining Palantir's AIP with Nvidia's Nemotron models.
The opportunity goes well beyond the models themselves as Nvidia provides the AI while Palantir connects the enterprise data needed to make it useful in real-world operations.
$IBM up nearly 6% after beating earnings expectations on strong AI demand.
$IBM reports earnings after the bell today
The implied move for the stock heading into earnings is +/- 6.97% as of right now
Wall St. is expecting quarterly numbers of:
- Adjusted EPS of $2.86
- Revenue of $16.83 billion
The company will hold a conference call at 5pm ET
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This photo of $TSLA flying Roadster might genuinely be the photo of the year.
$TSLA just added a record 260K FSD subscribers in Q3 bringing its total to 1.74M (+67% YoY)
Those new subscribers alone could generate ~$310M in annualized revenue pushing FSD's implied subscription run rate above $2B.
$TSLA just confirmed production-quality Optimus robots are coming off its Fremont lines with management calling the process "suitable for a commercial product."
The next step is scaling production toward Fremont's planned capacity of 1M robots annually.