To The Moon

Commerce Secretary Lutnick has been meeting with robotics CEOs & is pushing to accelerate the industry with the administration now evaluating a formal robotics order for next year.How robotics is quietly getting built out across the economy:1. $Palantir Technologies Inc.(PLTR)$ & $UiPath(PATH)$ are the traffic controllers for the whole fleet while $NVIDIA(NVDA)$ , $Broadcom(AVGO)$ & $Qualcomm(QCOM)$ are the engines & nervous system that let the robots sense and act.2. $AeroVironment(AVAV)$ ,

1. Not building size in the pure-play drone names when the window was wide open. I saw the opportunity in $ONDS, bought shares at $0.73 but sold at $3.17 because the move felt too fast. I did restart the position at $5.26 but the hesitation cost me some upside.2. I believed the AI Utility names like $IREN Ltd(IREN)$ & $Cipher Mining Inc.(CIFR)$ were built for what I call the overflow era which is that brief high-margin window where AI compute demand outstrips what $Amazon.com(AMZN)$ AWS, $Microsoft(MSFT)$ Azure & $Alphabet(GOOGL)$ Cloud can supply. What I underestimated

5 REASONS WHY $NEBIUS(NBIS)$ , $IREN Ltd(IREN)$ , $Cipher Mining Inc.(CIFR)$ , $TeraWulf Inc.(WULF)$ & $Galaxy Digital Holdings Ltd.(GLXY)$ ARE GETTING HIT THIS WEEK1. The $APPLIED DIGITAL CORP(APLD)$ bond blowup broke the dam & exposed the weakest link in the AI-infra chain.A 10% yield on more than $2B of debt with only $634M of equity is the market telling you the model doesn't work without cheap money. Especially when they're paying $275M a year in interest alone on a ~$300M rev base so once the market sees a structure that f

MY 5 BIGGEST TAKEAWAYS FROM $Advanced Micro Devices(AMD)$ ANALYST DAY 1. The pivot is official that AMD it’s building a platform with a goal is to sell full AI infrastructure: silicon, interconnect, software & racks that hyperscalers can deploy at scale. It’s chasing $NVIDIA(NVDA)$ vertical model but through an open ecosystem.2. Data center is the company with Lisa guiding for ~35% CAGR, 57% gross margins & >$20 EPS by 2030. That requires DC biz to grow from ~$16B today to near $100B within five years which is a 6x run that only works if MI450 + Helios hit ramp targets & hyperscaler orders stack fast.3. GPU is the upside but ROCm is the gatekeeper. The MI450 & yearly GPU cadence will def

$Palantir Technologies Inc.(PLTR)$ quarter is one of those moments where operating reality & market imagination finally meet and the question is whether the imagination has gone too far.I don't think people realize how insane it is to grow revenue 63% while maintaining 51% operating margins in software. That level of efficiency is almost unheard of which is why $NVIDIA(NVDA)$ CEO Jensen Huang called Palantir’s ontology “the most important enterprise stack in the world.” The ratio of commercial revenue to customer count is just as extreme with only 530 commercial customers generating ~$400M in one quarter when most software companies at that revenue scale have thousands of clients so this is an insane

$Microsoft(MSFT)$ CEO Satya just made one of the most revealing comments of the entire AI cycle when he said Microsoft has $NVIDIA(NVDA)$ GPUs sitting in racks that cannot be turned on because there is not enough energy to feed them. The real constraint is not compute but power & data center space.This is exactly why access to powered data centers has become the new leverage point.If compute is easy to buy but power is hard to get, the leverage moves to whoever controls energy & infrastructure. Every new data center that $Microsoft(MSFT)$ , $Alphabet(GOOGL)$ , $Amazon.com(A

The biggest theme across Nvidia GTC event & the $Amazon.com(AMZN)$ , $Meta Platforms, Inc.(META)$ , $Alphabet(GOOG)$ & $Microsoft(MSFT)$ earnings was compute demand is exploding but power delivery struggles to keep up.That’s why the Nvidia’s 800V DC Alliance matters since it’s how the next generation of AI factories will run nonstop without blowing through energy budgets or cooling limits.The companies in this group are building that layer of the AI stack:1. $STMicroelectronics NV(STM)$ scaling SiC devices from EVs to data center energy systems2.

This past week was huge for the AI Utility theme. The hyperscaler earnings all pointed to one thing that demand is running ahead of power, racks & chips which directly sets up the next leg for independent AI compute providers. $Amazon.com(AMZN)$ showed AWS re-accelerating to 20% growth on a $132B run rate with backlog near $200B. They added 3.8 gigawatts of power in the last year and expect to double again by 2027. Every megawatt that isn’t delivered by AWS on time gets filled by third-party GPU infrastructure. $Microsoft(MSFT)$ said AI capacity will grow 80% this year & their entire data center footprint will double in two years. They're capacity constrained through FY26 even after spending $35B

$Meta Platforms, Inc.(META)$ concern is the spending ramp. CapEx for 2025 was raised to $71B and 2026 will be notably higher. Zuckerberg said explicitly that Meta will overbuild for the most optimistic scenario around superintelligence and the market is recalibrating to that shift. Meta is transitioning from being the world’s biggest social media company to becoming an AI compute platform wrapped in social engagement. The short-term hit is higher expenses and margin compression while the long-term reward is durable AI infra, deeper engagement and a flywheel that compounds at global scale. $Alphabet(GOOGL)$ had the cleanest quarter with Search at the focal point. Query growth accelerated and management sa

AI is breaking the grid. That darker band on the chart is the AI load & didn't exist a couple years ago & now it is the reason data center power demand is going vertical. Winners are the ones that build, fuel & monetize the power behind AI: THE POWER LAYER• $Constellation Energy Corp(CEG)$ largest US nuclear fleet providing reliable baseload power• $NextEra(NEE)$ major renewable projects supporting data center growth• $Vistra Energy Corp.(VST)$ merchant power leveraged to rising electricity demand• $Eos Energy Enterprises Inc.(EOSE)$ long duration storage for grid reliability•