3 REASONS $Broadcom(AVGO)$ EARNINGS REACTION WENT NEGATIVE1. The backlog quality suddenly looked less securedMany investors treated the OpenAI relationship like a typical binding hyperscaler contract but Broadcom’s “multiyear journey” language in the Q&A made it sound more like a general framework than a firm capacity commitment.2. The revenue timing moved far outManagement made it clear that meaningful XPU revenue does not show up in 2026 & instead ramps in 2027–2029 and long-dated revenue always carries higher risk so this needs to be discounted.3. Supply constraints cap 2026 upsideBroadcom disclosed a $72B backlog with 18-month lead times which signals they're already running at full capacity & cannot accelerate deliveries even if d

MY 3 THOUGHTS ON $Oracle(ORCL)$ EARNINGS1. Revenue missed at the worst possible momentOracle is trying to convince the market it is becoming a top-tier AI infra supplier but another revenue miss in an environment where AI spend is exploding tells investors the monetization curve still isn’t matching the bookings narrative.2. Margins compressed right as the company needs to fund multi-gigawatt buildoutsCapex pushed past $20B in six months, FCF swung from +$11B to –$13B, cloud expenses jumped 45%, and Oracle is carrying $120B+ of debt with $25B due in three years. This is real financial strain. 3. Oracle as a high-beta, high-capex AI buildout storyRPO hitting $523B is incredible but the equity is now a bet that Oracle can• build capacity faster than

Hello everyone! Today i want to share some trading ideas with you!1.EVERY PART OF THE NUCLEAR TRADE IS NOW INTERCONNECTED• Upstream you have the uranium miners & fuel processors like $Cameco(CCJ)$ , $Energy Fuels(UUUU)$ & $Centrus(LEU)$ that feed the entire system.• Midstream you have the reactor & SMR builders like $NuScale Power(SMR)$ , $Oklo Inc.(OKLO)$ , $BWX Technologies Inc(BWXT)$ & $NANO Nuclear Energy Inc(NNE)$ turning that fuel into deployable nuclear capacity.• Downstream

Space is one of my favorite 2026 themes because the real customer base is moving from commercial buyers to fully funded government programs that view this theme as national security infrastructure. It's a once in a lifetime thematic that sits inside budgets that renew every year and grow when geopolitical pressure rises. Once you understand that shift, the companies positioned for federal procurement start to separate from the rest of the sector.1. $Rocket Lab USA, Inc.(RKLB)$ | Rocket LabRocket Lab already understands this shift because they stopped presenting themselves as a launch company years ago. Every decision they have made points toward a world where fully integrated space company with vertical control across manufacturing, payload, conne

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