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

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•

1.Raymond James just said the AI cloud will be a $350B market by 2030.They think the split looks like this:• $Microsoft(MSFT)$ 37%• $Alphabet(GOOGL)$ 35%• $Oracle(ORCL)$ 11%• $Amazon.com(AMZN)$ 7%• $CoreWeave, Inc.(CRWV)$ 7%• $NEBIUS(NBIS)$ 3%The wild part is Amazon at only 7%. AWS still has the largest base of enterprise relationships, deepest cloud integration & biggest commerce engine behind it. If even a small slice of that base shifts AI workloads onto Bedrock + Trainium the rerate will be obvious.I'm buying the gap between wh

1.TSLA Q3 EARNINGS• Sales $28.1B vs Est. $26.4B• EPS $0.50 vs Est. $0.54• Gross Margin 18% vs Est. 17%• Operating Income $1.62B vs Est. $1.65B2.Elon Musk basically turned the $Tesla Motors(TSLA)$ earnings call into a manifesto for control, chips & embodied AI.He made it clear that he wants voting power locked in before scaling what he calls a “robot army.” That’s the subtext behind the November 6th vote.On the product side Tesla positioning itself as both an AI compute company & a manufacturing company. The A5 chip, built with $Taiwan Semiconductor Manufacturing(TSM)$ & Samsung, is designed to be at least 2x more efficient and up to 10x cheaper per dollar than competitors, giving Tesla control

$Tesla Motors(TSLA)$ 1. Energy is becoming the second profit engine w/ record Megapack deployments & gross profit inflection showing up in the numbers.2. Autonomy is the rerate because 6B supervised miles & safety drivers being removed in Austin turns software + fleet utilization into a real earnings layer.3. AI5 silicon brings inference in house w/ $Taiwan Semiconductor Manufacturing(TSM)$ & Samsung which lowers cost per watt & supports margin expansion as autonomy adoption scales.4. Cybercab is the wildcard because the model only triggers its flywheel if regulation unlocks fleet level commercialization in the next two years.5. Optimus remains the long dated call option where every task au

2000 was built on promises. Companies with no revenue and no product were raising billions on the idea that the internet would change everything but the infrastructure wasn’t ready and the demand wasn’t real. Way too much supply and not enough adoption. That was overcapacity built on hope.2025 is the exact opposite. This time the demand is real and the world doesn’t have enough capacity to meet it. The AI economy is hitting physical limits in power, chips and data movement with hyperscalers are racing to build new data centers, upgrade transmission grids, and expand fabrication but even with record spending they’re still behind. That’s not a bubble but more of a supply squeeze.In 2000 the market was pricing in future demand that never arrived. In 2025 the market is struggling to price the

AI is now an industrial story where every layer here shows how the physical economy is being rebuilt to power intelligence. $NEBIUS(NBIS)$ , $IREN Ltd(IREN)$ & $Cipher Mining Inc.(CIFR)$ are turning megawatts into rentable GPU capacity by selling compute by the hour like utilities once sold power by the kilowatt. $Oklo Inc.(OKLO)$ , $Vistra Energy Corp.(VST)$ & $Cameco(CCJ)$ are the fuel since AI runs 24/7 & you need baseload that never shuts off. $Eos Energy Enterprises Inc.(EOSE)$ ,

1. $Taiwan Semiconductor Manufacturing(TSM)$ plans to acquire a second major site in Arizona for up to six fabs as Phase 2 moves to 2-nanometer production.That would make the U.S. home to TSMC’s most advanced node for the first time.Serious scale coming.Industrial facility exterior with large beige and gray building featuring TSMC logo on side multiple tall green cacti in foreground red sign reading TSMC Arizona Corporation Fab 21 on black base surrounded by desert shrubs yellow flowers and chain-link fencing under clear sky2.DELIVERED 😏• Sales $33.1B vs Est. $31.5B• EPS $2.92 vs Est. $2.59• Gross margin 60% vs Est. 59%• Net income $15.1B vs Est. $13.9B• Advanced nodes (≤7nm) were 74% of wafer revenueQ4 Guidance • Sales $32.8B vs Est. $32.0B• Gross

Hello everyone! Today i want to share some trading ideas with you!1.OpenAI is planning a 5-year roadmap to fund >$1T in AI infra through partners like $Oracle(ORCL)$ , $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ & $Broadcom(AVGO)$ for 26GW of capacity. The Stargate buildout positions it as core compute supplier for $Microsoft(MSFT)$ , $Alphabet(GOOGL)$ , $Amazon.com(AMZN)$ & $Meta Platforms, Inc.(META)$ while expanding into enterprise AI

1. $Navitas Semiconductor Corp(NVTS)$ Navitas announced it’s supplying next-gen GaN & SiC devices for $NVIDIA(NVDA)$ 800V DC architecture powering the next wave of AI factories.For anyone in my subscriber community, this shouldn’t be a surprise since I’ve been saying the entire data center stack is moving toward higher voltage & higher efficiency systems. Navitas is solving the power flow problem inside the data center as voltage levels jump from 54V to 800V to handle how much power Blackwell GPUs draw which means the entire electrical backbone has to be rebuilt for efficiency.Navitas makes the chips that control how electricity moves through servers & racks. More efficiency means less heat, l

Every layer of the AI trade is now financially linked.• Upstream are the chipmakers like $NVIDIA(NVDA)$ , $Taiwan Semiconductor Manufacturing(TSM)$ , $ASML Holding NV(ASML)$ , $Advanced Micro Devices(AMD)$ & $Intel(INTC)$ .• Midstream are the compute utilities like $NEBIUS(NBIS)$ , $CoreWeave, Inc.(CRWV)$ , $Cipher Mining Inc.(CIFR)$ , $TeraWulf Inc.(WULF)$ , $Galaxy Di