Back when $AAOI was ~$20-30 when I went long: I thought $AMZN and $MSFT were qualifying specific optical transceivers for their ASIC programs. Turns out it’s more interchangeable/mass producible. Regardless, glad my thesis on $LITE, $AAOI, Innolight, $COHR, $AXTI played out so well. Keep in mind: everyone on X was saying “scam management” with $AAOI back at $20-30… Or “scam company” with $AXTI at $12. FUD was pretty extreme. Feels like dejavu again… going long on the next CPO architectural shift like $SIVE or Foci? And getting the same comments. We’ll see if my CPO longs play out the same way like Shunsin does with Innolight or $SIVE does with $LITE. Either way all of those are now up hundreds to thousands of percent.
@OBPinvestments $amzn
These 10 companies will make millionaires by 2030: 1. $IREN - IREN 2. $AMZN - Amazon 3. $TE - T1 Energy 4. $MP - MP Materials 5. $NBIS - Nebius Group 6. $UUUU - Energy Fuels 7. $ONDS - Ondas Holdings 8. $OSS - One Stop Systems 9. $PENG - Penguin Solutions 10. $SOFI - SoFi Technologies NFA. DYOR.
PORTFOLIO holdings UPDATE — May 2026 $PLTR — AI operating system with government + commercial compounding. The original conviction hold. $CLS — Advanced packaging demand accelerating. Every AI chip cycle runs through here. $ONDS — IoT connectivity thesis validated. Small-cap patience rewarded. $NBIS — Neocloud identity forming in Europe. GPU cloud + AI services stack underappreciated. $HIMS — Consumer health disruption intact. GLP-1 tailwinds + DTC model building durable margins. $OKLO — Microreactor backlog growing. AI data center power demand makes this the logical baseload answer. $RKLB — Launch cadence strong. SpaceX IPO catalyst hasn’t even landed yet. $SOFI — Neobank evolving into a full financial platform. The flywheel is strengthening. $IONQ — Trapped-ion architecture holds its edge. Volatility is the cost of entry on this one. $AAOI — 800G to 1.6T upgrade cycle is the thesis. Hyperscaler capex flows directly here. $ABCL — AI-driven drug discovery still undervalued vs pure-play AI names. $MU — HBM ramp for AI training is the re-rating catalyst. Cyclical + secular tailwinds aligned. $AMZN — AWS AI layer compounding quietly. Margin expansion underway. $QS — Solid-state battery timeline extending but the TAM remains massive. High conviction, high patience. $GLXY — Institutional crypto infrastructure play. Regulatory clarity improving. $RDW — Quiet beneficiary of in-space manufacturing. Government contracts provide the floor. $META — Ad machine funding a long-term AI moat. Execution consistently underestimated. $SOUN — Voice AI expanding into enterprise. Execution needs to match the narrative. $PATH — Enterprise budget pressure real. Monitoring AI-native competition closely. $JOBY — eVTOL certification is the gating factor. This is a 2027+ story. $TSLA — Robotaxi and FSD are the real thesis now. Energy storage remains overlooked. $RR — Richtech Robotics bringing AI-powered service automation to hospitality and food service. Robotics adoption cycle still early. $PNG — Kraken Robotics underwater technology and defence sonar thesis building. Watching for contract catalysts to confirm the move. This portfolio is built around long-duration themes: ⚡ AI Infrastructure ☁️ NeoCloud 🚀 Space Economy ⚛️ Quantum 🔋 Energy Transition 🤖 Robotics 🧬 AI Healthcare Volatility is noise. Execution + patience is the edge. Not financial advice.
QUANTUM COMPUTING — The Full Sector Map. Every Play. One Post. PURE-PLAY QUANTUM $IONQ → Trapped-ion leader. Best-in-class qubit fidelity. Customers include Airbus, AstraZeneca, Hyundai. 256-qubit demo targeted 2026. The institutional-grade pure-play. $RGTI → Superconducting quantum systems. Highest beta in the sector. When quantum runs, $RGTI moves violently. Active momentum name right now. $QBTS → D-Wave Quantum. Annealing-based architecture. Most commercially de-risked pure-play — already generating optimization revenue with real enterprise clients. $QUBT → Photonic + room-temperature quantum. Q1 2026 revenue up from $39K → $3.7M YoY. Acquired Luminar Semiconductor for $110M. Vertically integrated photonics + quantum platform taking shape. Executing quietly. $INFQ → Neutral-atom quantum + sensing. One of the least-covered names in the sector. Neutral-atom architecture is gaining credibility as a scalable path to fault tolerance. Early but worth watching. $ARQQ → Quantum encryption and post-quantum cybersecurity. The national security angle. As quantum breaks classical encryption — this becomes critical infrastructure. $LAES → Quantum-resistant cybersecurity chips. Hardware-level protection against quantum decryption. Defense + enterprise security tailwind. BIG TECH $IBM → Most mature public quantum roadmap. 1000+ qubit processors live. Fault-tolerant systems targeted ~2029. Every enterprise quantum conversation starts here. $GOOGL → Willow chip demonstrated a landmark quantum error correction milestone. Google doesn’t lose science races. This is a long-term compounder with quantum upside baked in. $MSFT → Topological qubit breakthrough. Azure Quantum as the monetization layer. Full-stack quantum integrator play for the enterprise cloud era. $AMZN → AWS Braket quantum cloud. Positioned as the access layer for quantum-as-a-service. Already charging enterprises for quantum compute access today. $NVDA → Quantum-AI software stack integration. CUDA for quantum is the longer-term thesis. $NVDA doesn’t need to win quantum — it needs to be the layer everything runs on top of. $INTC → Silicon-spin qubit research. The most scalable long-term architecture thesis — leveraging existing CMOS manufacturing. Slow, but strategically important. $HON → Majority stake in Quantinuum — the most commercially advanced quantum hardware + software company currently private. When Quantinuum IPOs, $HON re-rates hard. $BAH → Booz Allen Hamilton. Deep in U.S. government quantum programs. Every federal quantum contract flows through firms like this. The picks-and-shovels of government quantum. SEMICONDUCTOR & INFRASTRUCTURE $GFS → GlobalFoundries. Quantum chip manufacturing capabilities. As quantum hardware scales, fab demand follows. $MU → Memory + quantum infrastructure angle. Quantum systems require extreme classical compute support — $MU sits in that stack. $AMD → HPC + quantum research ecosystem. High-performance classical compute is the co-processor to every near-term quantum system. $TSM → TSMC. Advanced fabrication is the foundation of every quantum chip roadmap. No quantum at scale without $TSM. $ASML → EUV lithography critical for next-generation quantum chip manufacturing. The irreplaceable chokepoint in advanced semiconductor production. QUANTUM NETWORKING / OPTICAL / SECURITY $CIEN → Optical networking backbone + quantum networking research. Quantum communication requires ultra-low-noise optical infrastructure — $CIEN is already there. $NOK → Nokia building quantum-safe telecom infrastructure. Nation-state cyber threats are accelerating the quantum-safe network upgrade cycle. $LITE → Photonics and optical infrastructure. Quantum and photonics are deeply intertwined. $AAOI → Optical connectivity. Riding both the AI and quantum photonics buildout simultaneously. $COHR → Photonics + laser systems. Lasers are fundamental to trapped-ion and photonic quantum architectures.
@thelostrai The 2 names that come up the most is $AMZN or $ASTS. But it’s all speculation now, can also be a European contender.
$NVDA Q1 FY’27 EARNINGS — BEAST MODE 💰 EPS: $2.40 — up +212% YoY 📈 Revenue: $81.61B — up +85% YoY And they’re not slowing down 👇 🔭 Q2 FY’27 GUIDANCE: → Revenue: $91.0B (±2%) → Gross Margin: ~75% $91 BILLION in a single quarter. Let that sink in. This isn’t a chip company anymore. This is the toll booth on the AI highway — and every hyperscaler is paying the toll. $MSFT $GOOGL $META $AMZN $ORCL are ALL spending hundreds of billions on AI capex. Every dollar they spend? A chunk flows to Huang. The demand isn’t slowing. Blackwell is sold out. GB300 is coming. And sovereign AI is just getting started. Bears have been saying “peak NVDA” for 3 years straight. The numbers keep saying otherwise.
Amazon $AMZN AI / Robotics Job Cuts 2022-2026: 57k total *nearly 10% of its ~350,000 corporate staff. Still 1.5M employed today, how many by 2030?
Day trading is a job. Option selling is a business. Day trading: - You stop working, you stop getting paid - Requires hours of screen time every day - One bad trade can wipe a week of gains - You're competing against algorithms and institutions - Income resets to zero every morning Option selling: - Collect premium whether you're at your desk or not - Theta works for you 24/7 - Defined risk on every position - You choose your entry price and get paid to wait - Income compounds as your account grows Day traders try to predict where a stock goes next. Option sellers get paid for agreeing to buy stocks they already want to own like $NVDA, $AMZN and $TESLA, at prices they already like. One requires you to be right about direction and timing. The other requires patience.
The $NVDA CEO, Jensen Huang just revealed the full 5 layer stack the AI super cycle is built upon… These 5 layers include: 1. Energy ~ $CEG, $VST, $OKLO, $EOSE, $GEV 2. Chips & Computing ~ $NVDA, $AMD, $TSM, $MU, $ARM 3. Cloud & Data Centers ~ $NBIS, $IREN, $CRWV, $APLD, $CIFR 4. AI Models ~ $MSFT, $GOOGL, $META, $AMZN, $ORCL 5. Applications ~ $PLTR, $TSLA, $NOW, $SNOW, $CRM Without these companies there is no AI; which is exactly why these names will continue to see massive long term growth. Save this for later…
I generate thousands of dollars each week buying and selling options Here's the entire framework: ➡️ Hold a base portfolio of high conviction names - $NVDA $AMZN $NBIS $IREN $RKLB $HOOD $MP ➡️ Sell 30 DTE cash-secured puts at 0.20 delta on stocks I'd want to own at the strike ➡️ Close every sold option at 50% profit ➡️ Buy LEAPs only when IV is low, price is at support, and conviction is high ➡️ Sell covered calls when shares I own are sideways or overbought ➡️ DCA into the base portfolio every month regardless of price How I decide which strategy to use: High IV + income goal = sell CSPs Low IV + high conviction = buy LEAPs Own shares + sideways market = sell covered calls
Billionaire David Tepper just made a new $179 million bet. Appaloosa Management's latest 13F filing is out. And there's a big new position in Sandisk, $SNDK. Tepper bought in for $179 million. That makes it a 3.0% position in his fund, right out of the gate. This is a significant move from one of the best investors alive. He also added to his positions in $AMZN and $MU. Tepper is known for making concentrated, high-conviction bets when he sees an opportunity. $SNDK is now one of them. Do we share the same opinion on semiconductor stocks? Probably not. Our opinion is closer to Michael Burry’s: the sector is clearly overvalued. When WE make a new move in the market, we will let you know. Turn on notifications so you don’t miss the signal. This is VERY important. A lot of people will wish they had followed us sooner.
SpaceX $SPCX is officially set to go public on June 12. This will be the largest IPO in history, & will cause a total reprice amongst the entire space sector. These are the critical sectors amongst the space theme: Satellite Communication & Operations $ASTS ~ AST SpaceMobile $PL ~ Planet Labs $GSAT ~ Globalstar $SPIR ~ Spire Global $AMZN ~ Amazon $VSAT ~ Viasat Spacecraft & launch systems $RDW ~ Redwire $RKLB ~ RocketLab $LMT ~ Lockheed Martin $KTOS ~ Kratos Defense $FLY ~ Firefly Aerospace $LUNR ~ Intuitive Machines Specialty Materials $CRS ~ Carpenter Technology $ATI ~ ATI Inc $MTRN ~ Materion $GLW ~ Corning $PKE ~ Park Aerospace Propulsion Systems & Fuel $LIN ~ Linde $APD ~ Air products & Chem $NEU ~ NewMarket Electronics & Semis $NVDA ~ Nvidia $AVGO ~ Broadcom $COHR ~ Coherent $LITE ~ Lumentum
Play to watch in Physical AI 🤖 Robotics & Automation Humanoids, service robots, warehouse bots, field robotics Core Platforms & Robotics Builders $TSLA – Optimus humanoid platform $XPEV – Humanoid robotics + autonomy $HYMTF – Advanced humanoid R&D $RR – Service & field robotics $SERV – Last-mile delivery robots Warehouse & Logistics Automation $SYM – AI-powered warehouse robotics $AMZN – World’s largest robotics deployment $ZBRA – Vision, tracking, automation infrastructure 🚗 Autonomous Vehicles AI that drives, navigates, and makes real-time decisions Autonomy & Driving Intelligence $TSLA – Full-stack autonomy $XPEV – AI-driven autonomous driving $MBLY – Vision-based autonomy platform $QCOM – Edge AI compute for vehicles Perception for Autonomy $INVZ – Automotive LiDAR $LAZR – Long-range LiDAR $OUST – Digital LiDAR $ARBE – 4D imaging radar 🏭 Smart Factories Industrial robots + AI-driven production systems Industrial Robotics & Control $ABB – Industrial robots & automation $TER – Collaborative robots (cobots) $HON – Industrial controls & sensing $ROK – Factory software & automation Manufacturing Intelligence $PATH – Process automation bridging digital → physical $PLTR – AI-driven industrial decision orchestration 🏥 Healthcare Precision, repeatability, and high-margin Physical AI Medical Robotics & Surgical Systems $ISRG – da Vinci surgical robotics leader $PRCT – Next-gen robotic surgery $SYK – Robotic surgical instruments $MDT – Robotic-assisted medical devices 🛰️ Defense & Space Autonomous systems in high-risk, high-complexity environments Autonomous Defense Platforms $AVAV – Unmanned aerial systems $RCAT – Autonomous drones $UMAC – Tactical autonomous vehicles $ONDS – Secure AI communications Field, Extreme & Space-Adjacent Robotics $OII – Subsea robotics & offshore autonomy $FARO – 3D sensing, mapping & inspection $RR – Robotics for extreme environments 🧠 Foundational Layer (Powers All Categories) Brains behind Physical AI $NVDA – AI compute backbone $AVGO – Custom silicon + AI networking $QCOM – Edge AI processing Physical AI isn’t one sector. It’s a stack deployed across five massive industries, each monetizing autonomy in different ways. Most capital is still chasing software AI. Robotics + real-world deployment is the next leg. Not a financial advice, Like and share if you like .
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A strong day for Filtronic concidering how much other growth and space stocks are down today. They are at the heart of SpaceX with their E-band amps. We still don’t have clarification on the other player they have a research agreement with, but $AMZN and $ASTS are the strongest candidates. I got a very high conviction in this stock as they can expand their E-band technology knowledge to the V-band technology. A $1 billion market cap for such a pivotal company is the space race is very much undervalued imo. No financial advice, dyor
9. $AMZN - Amazon One of the largest robotics deployers on the planet. Hundreds of thousands of robots already working across fulfillment centers. AWS revenue hit $37.6B in Q1, up 28% and accelerating. Custom chip business running at $20B+ annual revenue with $225B in Trainium commitments. Amazon doesn't just use robots. It builds them, trains them on its own AI infrastructure, and deploys them at a scale nobody else can match.
Trump’s Q1 2026 Portfolio Moves Just Dropped, And the rotation tells a very clear story. What He SOLD → $AMZN — $5–25M range → $META — $5–25M range → $MSFT — $5–25M range Exiting the old guard. Cloud, social, legacy software. All trimmed significantly. What He BOUGHT → $NVDA — new $1–5M position → $AAPL — new $1–5M position → $AVGO — new $1–5M position → $SNPS — new $1–5M position → $TXN — new $1–5M position → $ORCL — new $1–5M position → $NOW — new $1–5M position Pure AI infrastructure and semiconductor rotation. Chips. EDA tools. Enterprise AI software. Physical layer of the AI stack. What This Signals The trade is clear — out of hyperscalers and ad platforms, into the companies actually building the physical and software backbone of AI. $NVDA designs the chips. $AVGO builds custom silicon. $SNPS designs the architecture. $TXN powers the analog layer. $ORCL and $NOW run the enterprise software on top. This isn’t a random rotation. It’s a deliberate bet on the AI infrastructure layer over the AI application layer. The Bigger Picture Over 3,000 transactions in a single quarter. That’s not passive investing — that’s active portfolio construction with a very specific thesis. Whether you agree with the politics or not, the portfolio move is directionally aligned with where institutional money has been flowing all year. Semis up 65% YTD. $PLTR up massively. AI infrastructure names leading the market. This disclosure just confirms the smart money thesis that’s been playing out since January.
Not sure if people realized this but unless a thesis completely breaks, companies like $NBIS can keep growing. Just look at $AMZN or $GOOGL over the past 15 years. If people "trim" it often triggers taxes. And a lot of corrections are typically less than those taxes paid. By the time a "50% crash happens", it's probably already compounded hundreds of even thousands of percent. If people need to pay expenses, once you hit 7-8-9 figures, you can always borrow against those assets and keep letting them appreciate. NFA, just personal opinion. You all do you, but it's highly, highly, dependent on the companies you pick. Can't do this with something trash like $IREN. But I do believe $NBIS is positioned to be the next hyperscaler.
@DanilSer33 The new $SIVE / Ayar / AlChip / $AMZN trainium supply chain is more bullish than the recent $POET $50m -> $500m purchase order. Markets probably won’t see the connection between Ayar AlChip and $SIVE unless someone points it out though.
Just to add to the very positive $SIVE news amid MSCI likely tens of millions of inflow in 2 weeks: $AMZN has a new private placement with AlChip. Probably implying design wins with future Trainium. If you don’t remember… AlChip was Ayar’s lead customer. And $SIVE is the primary laser supplier to Ayar. So implications for $SIVE, is enormous piggybacking off of Amazon’s ecosystem growth.
Amazon, $AMZN, has announced another round of layoffs in its selling partner services division after cutting nearly 30,000 jobs in recent months.
BREAKING: Trump has disclosed thousand of transactions. He owns more than a million of $NVDA, for example. He also owns, $TSLA, $ADBE, $NOW, $AMZN, $AAPL, and much more. The transactions are from 2026, and most are up to $50,000 purchases.
10 stocks within the AI infrastructure stack that you need to be aware of: 1. Power - $BE 2. Chips - $NVDA 3. Memory - $MU 4. Optics - $LITE 5. Cooling - $VRT 6. Photonics - $AAOI 7. Networking - $ANET 8. Substrates - $AXTI 9. Data Centers - $IREN 10. Hyperscalers - $AMZN Power, compute, networking, cooling, and photonics all play a critical role in the AI buildout.
Here are the robotics stocks grouped by segment Robot Automation $ROK – Rockwell Automation $ZBRA – Zebra Technologies $CGNX – Cognex $PATH – UiPath $PEGA – Pegasystems Medical Robotics $MDT – Medtronic $PRCT – PROCEPT BioRobotics $OMCL – Omnicell $SYK – Stryker $ISRG – Intuitive Surgical Industrial Robotics $TSLA – Tesla $HON – Honeywell $TER – Teradyne $LECO – Lincoln Electric Professional Robotics $OII – Oceaneering International $FARO – FARO Technologies Service Robotics $RR – Richtech Robotics Robot Software / AI $NVDA – NVIDIA $PTC – PTC Inc $PDYN – Palladyne AI $QCOM – Qualcomm Logistics Robotics $AMZN – Amazon $SYM – Symbotic $SERV – Servr Robotics $ATS – ATS Corp Defense Robotics $AVAV – AeroVironment $LMT – Lockheed Martin $BA – Boeing $TDY – Teledyne Technologies $TXT – Textron $ESLT – Elbit Systems $KTOS – Kratos Defense $NOC – Northrop Grumman $GD – General Dynamics $RTX – RTX Corp $LHX – L3Harris Technologies
The new $NVDA rival officially IPO’s tomorrow… $CBRS will price itself at $185 per share which is much higher than the $150 marketed range. Cerebras has grown sales +76% YoY to $510M, & has a $20B OpenAI deal with $AMZN as a hyperscale customer. This will be the most successful IPO of 2026. Don’t miss out on it…
Amazon, $AMZN, has launched “Alexa for Shopping” for U.S. customers on the Amazon Shopping app and website.
Now that I think about it more… Nextronics (8147) is a pretty undiscovered supplier to robotics supply chains like $AMZN too. So as Amazon scales up, so does their revenue (it’s only ~$200m mc so it should be material if they’re hitting 38-40% gross margins). I was only focusing on $NVDA CPO supply chains as their largest growth vector earlier. But I do think Amazon’s robotics program have the simplest route for mass production since each one they make internally lowers opex, cuts headcount, and improves profitability. And their whole ecosystem should benefit.
@Dog_Ziller I actually think $AMZN for robotics is extremely underrated. Since since there’s immediate practical upside to lower opex + headcount for automation. But for general purpose $TSLA, Unitree, Figure, Boston Dynamics, Agibot, Agility, and others should do well.
@investingluc Would not say its speculative. Maybe the safest growth stock. +10.000 customers. $AMZN John Deere, Anduril e.g. debt free. Signifikant cash reserve. Whats speculative is more ‘when Robotics’ But $OUST is positioned as a prime for the future 😎👊
@FubarCapital $CSU or $AMZN
I believe these 10 stocks would be great investments to hold over the next 5 years: 1. $AMZN - Amazon Q1 revenue $181.5B, up 17%. AWS hit $37.6B in revenue, growing 28% and accelerating to its fastest pace in 15 quarters. The custom chip business is now running at $20B+ in annual revenue with $225B in Trainium commitments already locked in. Trainium 3 is shipping. Trainium 4 is 18 months out and already reserved. AWS alone is bigger than most companies on the S&P 500.
The “Inflation Era” of AI Compute is Breaking Out Across the Board Every layer of the AI infrastructure stack is seeing demand explosion — and the winners aren’t just $NVDA. Here’s the full supply chain map 👇 ⚙️ FOUNDATIONAL INFRASTRUCTURE → PCB: $TTM, $JBL → CCL: $ROG → MLCC: $VSH → Liquid Cooling & Thermal: $VRT 🔴 CORE COMPUTE & MEMORY AI Silicon: → $NVDA $AVGO $AMD $INTC Memory / Storage: → $MU $SNDK $WDC $STX $INTC Power Management / Analog: → $TXN $ADI $NXPI $STM $MPWR $VICR Wafer Foundry: → $TSM $GFS $UMC Advanced Packaging / OSAT: → $TSM $ASX $AMKR 🔵 OPTICAL COMMUNICATIONS NETWORK Optical Components: → $LITE $COHR $AAOI Optical Fiber & Cable: → $GLW Silicon Photonics Foundry: → $TSEM $GFS INP: → $AXTI Optical DSP / Interconnect Silicon: → $MRVL $FN ☁️ CLOUD & AI PLATFORMS → $AMZN $GOOG $BABA $BIDU The AI compute supercycle isn’t one stock — it’s an entire ecosystem repricing in real time. Not financial advice. DYOR.
ANTHROPIC REVENUE TRAJECTORY IS BREAKING MATH → Jan 2025: $1B ARR → Dec 2025: $9B ARR → Apr 2026: $30B ARR That’s a 30x in 15 months. One analyst is now projecting $100B by end of 2026, $340B in 2027, and $2T+ by 2030. Compare that to Google’s current revenue run-rate. The forecast says Anthropic could surpass it by mid-2028. Is it too aggressive? Probably. But the direction of travel is real. The bigger signal here isn’t Anthropic specifically — it’s what this means for the compute stack. If AI model companies are monetizing this fast, demand for chips, memory, networking, power, and cooling is going to be far larger than the market priced in. The infrastructure thesis just got stronger. Before a potential Anthropic IPO, here’s where you can get exposure today: → $AMZN — lead cloud partner + investor → $GOOG — major backer + TPU development partner → $NVDA / $AMD / $AVGO — AI chip layer → $TSM — foundry capacity → $MU — HBM + DRAM demand surge → $MRVL / $FN / $LITE / $COHR — optical networking → $VRT / $MPWR — power & cooling Pre-IPO fund exposure: → $VCX — Anthropic ~20.7% of portfolio → $DXYZ — meaningful Anthropic position → $AGIX — one of the few ETFs with direct private AI exposure → $BSTZ — private market tech exposure including Anthropic The AI model race winner is still unknown. The infrastructure winners are less uncertain. Not financial advice.
Not sure why people ask these types of questions across every single stock from $AAOI to $LPK under every post? I've already said multiple times, I have positions after $FLNC earnings announced 2 new hyperscaler deals. But I do think $FLNC Is compelling since hyperscalers from $GOOGL to $AMZN don't sign small deals in general. Especially when you look at $MSFT contract with $NBIS a lot of it is a major surprise.
I actually think $FLNC should be a lot higher. The implications of having 2 incoming direct hyperscaler contracts in 1 quarter is enormous. $MSFT to $AMZN don't sign tiny deals. Obviously markets like to wait more until actual news/purchase order numbers come out... in the off-chance it doesn't go through or lower than expected. But a company doesn't just randomly announce 2 hyperscalers MSas and an expectation of the orders to hit Q3. Also winning multiple hyperscaler deals, in a single quarter is a leading indicator for more, especially as Fluence BESS becomes standardized. Given short interest is around 27.69%, I'm not sure if pre-earnings short sellers are very comfortable to take a risk... I think there's a chance for a generational run if a hyperscaler like $GOOGL signs a massive contract.
$META is undervalued at $610 $AMZN is undervalued at $273 $SOFI is undervalued at $16 $ZETA is undervalued at $17 Do you agree? https://t.co/drg3FTNy3U
Just five companies, Alphabet, $GOOGL, Nvidia, $NVDA, Amazon, $AMZN, Broadcom, $AVGO, and Apple, $AAPL, have accounted for half of the S&P500 growth since April, per FT: https://t.co/MBRatQNgT1
Just putting it out there with the Goldman Sachs $NVDA supplier note. There’s a very interesting ~$210m MC company Nextronics (8147) that I ended up taking positions on following GS. That supplies CPO connectors and Cage Thermal Modules to Nvidia CPO supply chains. They’re also in $AMZN supply chains and Humanoids. And massage chairs too. Just thought I’d share an interesting idea (NFA/DYOR), I’ll do a BOM analysis later, but it looks very material relative to MC as Nvidia’s CPO program scales up. Of course risks are multi-sourcing/getting designed out, but there’s probably a reason why GS flagged this micro supplier multiple times among $4-10B+ companies.
I’ll only say this once: The next 1 to 4 years will determine whether you build generational wealth or spend the rest of your life watching other people live the life you could have had. NEW infrastructure is being built *right now.* AI, Robotics, Automations. Its all HERE. This is not a drill. This is not hype. This is THE window of a lifetime. The physical backbone of the next economy; power, compute, orbit, optical networking is being funded, contracted, and locked in right now. The capital is moving. The deals are being signed. The positions are being taken. The only question is whether your name is on any of them. You want to know what this moment looks like from the other side? It looks like 2010 and you didn’t buy $AMZN. It looks like 2013 and you didn’t buy $TSLA. It looks like 1995 and you watched the internet happen to other people. THIS is that moment. Right now. Today. And it will not wait for you to get comfortable. So here’s what you need to do. Wake up. Handle your 9-5. Run. Lift. Eat clean. Be present for your kids. Be there for your wife. Every hour left after that? >You research< Not scroll. Not watch. Not casually browse. You study like your family’s financial future depends on it. Because it does. Be obsessive. Think deeply about it. Or follow people who think deeply about it. Study what the world needs to build next, and which companies sit at those bottlenecks. But don’t sleepwalk through the most important investing window of your generation. $IREN $NBIS $CIFR $AAOI $RKLB These are positions in the infrastructure of the next 20 years. The kind you hold while everyone around you panics. The kind you look back on in 10 years and can’t believe you had the chance to buy. Most people will miss this. Not because the information wasn’t available. Not because it was too complicated. Because they didn’t take it seriously enough. Don’t be that person. The window is open. It won’t be open forever. -BP Reminder: this is not financial advice.
The AI super cycle is currently in year 4 out of 15, meaning we are still very early on! Many who know & capture the next phase cycles will become millionaires. Phase 1 is officially done, & we are now onto Phase 2: PHASE 1 — FOUNDATION LAYER (2023–2026) $NVDA - AI GPU king powering training, inference, & hyperscale demand. $AMD - AI accelerator competitor rapidly scaling enterprise and cloud adoption. $MU - High bandwidth memory essential for AI servers & large scale compute. $LITE - Fiber optic connectivity and photonics infrastructure supporting AI bandwidth. $INTC - Domestic semiconductor and AI infrastructure turnaround play. PHASE 2 — INFRASTRUCTURE EXPANSION (2026–2027) $IREN - AI focused data center expansion securing scalable power for next-gen compute. $CRWV - Cloud and AI infrastructure platform positioned to benefit from hyperscale. $NBIS - AI infrastructure and compute exposure tied to next wave enterprise deployment growth. $OKLO - Advanced nuclear technology positioned to support long-duration AI energy demand. $MRVL - AI networking silicon connecting compute, memory, storage, and hyperscale infrastructure. PHASE 3 — THE PHYSICAL AI ECONOMY (2027–2029) $USAR - Strategic U.S. rare earth exposure tied to AI hardware and military supply chains. $MP - Domestic rare earth production critical for magnets, EVs, robotics, and defense systems. $RKLB - Launch infrastructure and satellite systems supporting AI driven space expansion. $ASTS - Space based connectivity enabling future autonomous and AI communication systems. $ONDS - Wireless defense and drone networking infrastructure supporting autonomous operation. PHASE 4 — AGI & SOFTWARE DOMINANCE (2030+) $IONQ - Quantum computing exposure potentially accelerating next-gen AI capabilities. $ORCL - Enterprise AI databases and cloud infrastructure deeply integrated into corporate systems. $AMZN - Cloud and AI infrastructure dominance through AWS and enterprise compute. $GOOGL - AI search, inference, cloud, and AGI infrastructure powerhouse. $MSFT - Enterprise AI ecosystem leader integrating AI across productivity, cloud, and software. The AI super cycle is not a 1 year trade. It’s a decade long infrastructure buildout. Save this to look back on later…
2. Bull Put Spread on $AMZN $AMZN at $270.88. Claude pulled both legs for a defined-risk setup: Sell $245 put (delta -0.15, IV 32.1%) Buy $235 put (delta -0.09, IV 34.4%) June 18 expiration (42 DTE) Net credit: ~$0.94 ($94 per spread) Max loss: $906 per spread Breakeven: $244.06 (9.9% below current price) Annualized return on capital at risk: ~90% $906 at risk instead of $24,500 for a naked CSP at the same strike.
Colleague at lunch today going on about how he finally bought $NVDA . Said it like he discovered fire. I nodded. Asked how it was going. He said he was up a bit, felt good about it. Asked what I own. I started to explain. Got one sentence into $IREN before his eyes glazed. Tried $ONDS. He asked if that was a pharma company. I mentioned $RKLB and he said “oh like Virgin Galactic?” I stopped explaining. Smiled. Said “yeah, something like that.” Here’s what I actually own: $IREN 4.5GW secured power. $9.7B Microsoft deal. The hyperscaler for hyperscalers. $NBIS $50B+ contracted backlog. Goldman at $205. NVIDIA invested $2B. $CIFR $AMZN + $GOOG colo. AWS capacity starts July. $ONDS Only FAA-certified autonomous drone company in the US. 605% revenue growth. $RKLB $1.85B backlog. The only real commercial SpaceX alternative. $AAOI $200M hyperscaler transceiver order. $1B+ 2026 revenue guidance. $AMPX Batteries. 2.5x Q1 revenue growth. $PNG.V Anduril supply chain. NATO naval modernization. $OUST Digital lidar. Autonomous infrastructure layer. He would not have known a single one. That is not a criticism. That is the SIGNAL. The names nobody recognizes at the lunch table are the names still in the entry window. -BP Not financial advice. Do your own research.
Amazon, $AMZN, has announced its pharmacy will stock Ozempic from Novo Nordisk at kiosks and offer same-day delivery for the type 2 diabetes drug.
9. $AMZN - Amazon (Cloud Infrastructure) The story most people are missing is the custom chip business. Trainium and Graviton just crossed a $20B annual run rate growing at triple digits. Trainium3 delivers 4.4x the performance of its predecessor and is nearly fully subscribed. AWS grew 28% in Q1 with over $225B in revenue commitments. Jassy says the chip business alone could be worth $50B. This isn't just a cloud company anymore.
The recent Iran-U.S. war crash was indeed just another generational wealth making opportunity like predicted… Just a little over a month ago, I shared my top dip-buys to take. Since then: $CIFR +120.34% $IREN +90.26% $AMD +140.72% $CRWV +102.89% $FLY +155.56% $NBIS +167.63% $GOOGL +48.61% $RKLB +42.92% $AMZN +41.84% Lives were changed like promised. Incredible…
@TSinvests $AMZN is my favorite
$AMZN "Jassy specifically pushed back on the cash flow concerns, saying critics misunderstand how Amazon makes money from these investments. “We have to lay out capital and cash in advance of when we can monetize it... When your revenue growth starts to catch up with the capital expenditure growth, you actually end up really liking the operating margin, the free cash flow, and the [return on invested capital]"
The surest way to become a millionaire is by owning quality businesses that have a strong moat Here are 10 stocks I'd be comfortable holding for the next decade: 1. $AMZN - Amazon The story most people are missing is the custom chip business. Trainium and Graviton just crossed a $20B annual run rate growing at triple digits. Trainium3 delivers 4.4x the performance of its predecessor and is nearly fully subscribed. AWS grew 28% in Q1 with over $225B in revenue commitments. Jassy says the chip business alone could be worth $50B. This isn't just a cloud company anymore.
Just a recap of recent information discovery + likely mapping with $SIVE: -> $JBL 1.6T -> Lightmatter -> Ayar -> $MRVL Celestial -> Lightelligence -> $POET -> $GFS ecosystem -> $AMD CPO -> O-Net / Enablence -> $AAPL Silicon Photonics _ -> $YSS Golden Dome/DoD -> $RTX / $ERIC (Space) -> Bae Systems -> $AEVA With $JBL to Ayar feeding into hyperscalers like $MSFT, $GOOGL, $AMZN, $META. With likely Lightelligence to O-Net feeding into Asian Hyperscalers like Tencent, Bytedance, and Baidu. On top of that... the overarching TAM with CPO from the GS report goes from 0 -> $91B. And Sivers happens to be the bleeding edge for CPO (also starting from 0). This is definitely high-beta and volatile. But if Win volume ramps alongside $SIVE, I see them both becoming $10B+ companies next year. This is just extremely early on (H1) before the CPO supercycle starts H2 2026.
Markets are seeing broad profit-taking as geopolitical tensions in the Middle East add pressure and uncertainty. Selling can accelerate fast when headlines hit, especially after a strong run. Some names are still showing relative strength — $MU, $SNDK, $TSLA, $AMZN — holding up better while the rest of the market cools off. A breather here would be healthy. Consolidation builds the base for the next leg higher.
Amazon, $AMZN, is opening the supply-chain network that has powered its operations for decades to other businesses, per Reuters
"So what could Jassy mean when he speaks of partnering with third-party agents? I make the point in that article that an investment in OpenAI...could lead to product integrations that utilize ChatGPT as an Amazon discovery surface, potentially even through Amazon ads" $AMZN https://t.co/RO3KBxX5lG
$AMZN at $200 vs $275 https://t.co/BeAAfG7p5a
Legendary run by $AMZN
The best way to get rich in 2026 is by simply owning the entire AI ecosystem… Cloud Infrastructure ~ $GOOGL, $AMZN, $MSFT NeoCloud ~ $CRWV, $NBIS, $CIFR, $IREN Security ~ $CRWD Compute ~ $NVDA, $AMD, $MU, $ASML, $AVGO, $TSM Power & Cooling ~ $CEG, $BE, $VRT Data ~ $MDB, $ORCL Memory ~ $SNDK, $MU, $STX You’ll look back on this post later this year, & will be thankful you own these names. Save this for later…
THE NEOCLOUD SECTOR $CRWV $IREN $NBIS $CIFR AI demand is exploding, but hyperscalers still can’t build fast enough. That gap is creating one of the biggest opportunities in the market: Neoclouds (GPU-as-a-Service) The second-order AI trade. → Hyperscalers ($AMZN $MSFT $GOOGL) are expected to spend $630B–$700B in capex in 2026 → Compute demand keeps accelerating → GPU shortages remain real → Neocloud providers fill the capacity gap LEADERS $CRWV • $66.8B backlog • $12B–13B+ 2026 revenue guide • Dominant player • Heavy leverage (~$20B–30B debt) $NBIS • $46B+ combined Microsoft + Meta contracts • Targeting $7B–9B ARR by end of 2026 • Nvidia-backed • One of the fastest growers $IREN • 150K Nvidia B300 GPU target • $3.7B+ annualized AI cloud revenue target • $9.7B Microsoft contract CRYPTO → AI CONVERTERS $CIFR • $3B Google-backed hosting deal • ~65% forward revenue growth $APLD • ~52% forward revenue growth • High volatility, high upside $CORZ • HPC transition in progress • Revenue mix improving $DGXX • Emerging AI data center infrastructure name • Early-stage exposure to neocloud expansion • High-risk/high-reward setup SPECULATIVE SMALL CAPS $KEEL • Bitfarms’ AI infrastructure pivot • Fresh US re-domicile • HPC leasing model emerging $SLNH • Renewable-powered compute • AI deployment planned for 2026 • Small cap, high risk $NUAI • 1GW+ hyperscale campus in Texas • $290M credit facility secured • Pre-revenue development play THE BIG THESIS → Inference demand could dominate AI workloads by 2030 → GPU scarcity keeps pricing power elevated → Hyperscaler earnings strength supports sector demand Tier 1: $CRWV $NBIS $IREN Tier 2: $CIFR $APLD $CORZ Tier 3: $KEEL $SLNH $NUAI This sector could be one of the biggest wealth creators of the AI cycle. Not financial advice.
@WealthCoachMak Selling puts on $AMZN feels like a no brainer.
$PS is one of the most talked-about fresh listings on Wall Street right now — Bill Ackman’s long-awaited public markets debut finally happened on April 29, 2026, when $PS and its companion closed-end fund $PSUS raised a combined $5 billion in one of the largest closed-end fund IPOs in U.S. history. The structure is clever: $PSUS priced at $50 per share, and every five $PSUS shares came bundled with one $PS share for free — creating a built-in demand linkage between the two tickers that generates automatic flows and arbitrage setups. $PS is the listed parent of Pershing Square Capital Management, holding a concentrated portfolio of large-cap names including $AMZN, $UBER, and $BAM — and it’s Ackman’s explicit play to build the next $BRK.B, a permanent capital vehicle that compounds over decades without forced selling pressure. Since inception in 2004, Pershing Square has generated cumulative net returns of over 2,600% vs. ~836% for the S&P 500 — that’s the track record underpinning the pitch. The stock opened at $24, got repriced fast by the market, and ripped to $37.99 by Friday May 1 — a 57% move in just three trading days — driven by momentum traders, IPO repricing dynamics, and Ackman hosting a live X Spaces with CIO Ryan Israel the same day to talk strategy and capital deployment, adding even more fuel. Ackman has said it’ll take weeks, not months, to deploy the $5B raised — meaning the portfolio is about to get positioned aggressively, and every new deal or position disclosed becomes a fresh catalyst. This is not just a new stock, it’s a new publicly traded version of one of the most storied activist hedge funds in the world. Not financial advice.
Portfolio Update — May 2, 2026 $PLTR +770.82% $CLS +651.53% $ONDS +426.29% $NBIS +307.04% $HIMS +258.82% $OKLO +202.32% $RKLB +170.77% $SOFI +142.97% $IONQ +142.02% $AAOI +104.43% $TSLA +73.50% $ABCL +55.79% $MU +52.72% $AMZN +48.89% $QS +48.22% $GLXY +37.05% $RDW +27.67% $META +24.47% $SOUN +20.76% $PNG +15.68% $RR -3.13% $PATH -4.04% $JOBY -13.05% 20/23 green 3 positions in progress — conviction intact $SOUN officially in the green Cash: 8.6% of portfolio 🙌 Not financial advice.
$ORCL added to the team today. Larry has a knack for scooping up business from Fed/state/local governments. $NVDA $GOOGL $AMZN $MSFT https://t.co/NiIKttiJSq
$AMZN reported EPS: $2.78 vs $1.64 expected. AWS grew 28%, fastest in over three years.Fine. But here is what the financial media is not saying: CEO Andy Jassy said AWS revenue would have been HIGHER if capacity had kept pace with demand. Cloud backlog: $364 billion (up 49% QoQ from prior quarter). The binding constraint on Amazon’s biggest growth business is not demand. It is compute infrastructure. $200 billion in capex this year. Still demand exceeds supply. Read that again. Two hundred billion dollars in spending. Still can’t build fast enough to serve customers who are already committed to paying. This is the single most important data point that came out of earnings season. Not $META capex number. Not $GOOG 63% Cloud growth. This. When the world’s most operationally disciplined company says it is supply-constrained after spending $200B, that is a statement about where the infrastructure opportunity actually lives. The AI infrastructure build cycle is not in the stocks of the companies doing the spending. It is in the companies building what those $200B programs actually need. Power. Data centers. Optical interconnect. Compute density. The people ignoring the infrastructure layer; $IREN $NBIS $AAOI $SIVE today will be buying it at higher prices in 12 months. -BP Note: This is not financial advice.
Read this, friends, if you are investing in the GAI infrastructure ecosystem. This is a damn good analysis and synthesis, and I am not simply saying that because we created it. Very signal-heavy. https://t.co/qHG092PHeS $AMZN $GOOGL $META $MSFT
Here’s my 15-stock AI infrastructure watchlist AI INFRASTRUCTURE CORE $MRVL → Custom AI silicon for hyperscalers like Google and AWS → Data center now the core growth engine → Strong XPU positioning in AI compute $CRDO → Critical connectivity layer inside AI clusters → Expanding into silicon photonics and optical transceivers → Direct beneficiary of hyperscaler GPU scaling $ALAB → PCIe/CXL connectivity solving AI server bottlenecks → Key enabler for GPU communication efficiency → Strong execution and AI infrastructure leverage $AAOI → Riding the 800G and 1.6T optical upgrade cycle → Vertical integration gives margin and supply edge → Hyperscaler demand remains strong $MXL → Emerging optical DSP player in AI infrastructure → Pivoted from broadband into data center growth → Early in hyperscaler qualification cycle MEGA-CAP AI COMPOUNDERS $MSFT → Enterprise AI leader via Copilot and Azure → Massive distribution advantage through software ecosystem → AI monetization still in early innings $GOOG → Search funds AI innovation and cloud expansion → Strong custom silicon and AI infrastructure strategy → Multiple growth engines beyond search $AMZN → AWS remains the AI cloud backbone → Aggressive AI infrastructure spending → Retail and ads fuel long-term AI investment SEMICONDUCTOR CYCLE PLAYS $AMD → Leading Nvidia alternative in AI compute → Enterprise traction growing with MI300 → Multiple cycle tailwinds in AI and PCs $MU → HBM memory is essential for AI GPUs → Direct play on AI compute demand → Strong AI-driven memory cycle setup $INTC → Foundry turnaround with strategic US importance → Big upside if execution improves → High risk, high reward setup $ARM → Royalty model across global chip ecosystem → Expanding into AI edge and data center → Benefits from industry-wide chip growth CONNECTIVITY, POWER & INFRA $SIMO → Storage controllers powering AI data growth → NAND cycle recovery adds tailwind → Undervalued storage infrastructure play $NOK → Optical and fiber backbone for data traffic growth → Beneficiary of telecom and hyperscaler upgrades → Defensive infrastructure exposure $BE → On-site energy for power-hungry AI data centers → Solves grid bottleneck challenges → Direct energy infrastructure AI play AI is not one stock. It’s chips, memory, optics, networking, storage, and power. Follow the infrastructure. That’s where the real compounding happens. Not financial advice.
Is this good? This seems good. 'Al-driven value accruing to the hyperscalers is +ALT the likely outcomes given fierce model competition and scarce compute' $AMZN https://t.co/Lcvaa55YdO
"AI revenue grew triple digits y/y, with Bedrock seeing 170% growth in customer spend q/q and processing more tokens in 1Q26 than all prior years combined." $AMZN
$AMZN $GOOGL $META $MSFT RESEARCH NOTE - Mega-Cap AI Earnings: Scale Deployment, Capacity Rationing, and Custom Silicon https://t.co/zBsm2svbqa Bottom Line: Mega-cap AI earnings confirm that AI has moved from pilot-cycle experimentation to production-scale deployment, but the cleaner framing is capacity-rationed demand rather than simple revenue acceleration. Alphabet, Amazon, Microsoft, and Meta all showed visible AI usage, backlog, and monetization, while also disclosing higher capex, component inflation, and rising dependence on custom silicon. The highest-conviction long exposure remains the bottleneck stack across accelerators, ASICs, CPUs, HBM and DRAM, networking, power, cooling, and data-center deployment. The key debate is whether backlog converts into attractive cash returns after memory inflation, depreciation, energy cost, direct hardware sales, and GPU substitution from Trainium, TPUs, Maia, Cobalt, and Meta-Broadcom silicon. The platform winners are those with identity, data, distribution, security, commerce, and usage-based monetization; the pressure points are PC demand, open-web traffic, agency labor, legacy IT, point SaaS, and hyperscaler free cash flow optics.
3. Cipher Digital ~ $CIFR While much less than other names, CIFR is beginning to rile in its backlog which thus far consists of: - $5.5B from AWS ($AMZN) - $3B from Fluidstack/Google With 48% YoY revenue growth, $1.2B cash pile, & a growing pipeline, CIFR is an early stage, high beta name. Targets include $34 by Q1 27’
I certainly made more money from $AMZN when it was closer to zero than when it was far above.
TECH EARNINGS TODAY $MSFT — ✅ BEAT ✦ Cloud + AI demand staying strong, Azure delivered ➕ Revenue $82.9B (+18%) | EPS $4.27 vs $4.07 est  ➕ Azure +29% | Commercial RPO surged 99% to $627B  ➖ Capex acceleration commentary spooked $GOOG — ✅ MONSTER BEAT ✦ Google Cloud going parabolic — AI thesis fully intact ➕ Revenue $109.9B (+22%) | Cloud up 63% to $20.03B — crushed estimates  ➕ Operating margin expanded to 36.1% | Shares up ~4% AH  ➖ EPS of $5.11 inflated by $36.9B unrealized equity gains — clean operating picture still strong but headline overstates it  ➖ Capex guide raised again to $180–190B  $AMZN — ✅ BIG BEAT ✦ AWS back in acceleration mode — AI tailwind is real ➕ Revenue $181.5B (+17%) | EPS $2.78 vs $1.64 est — massive beat  ➕ AWS +28% YoY — fastest growth in 15 quarters | Ad revenue also accelerating  ➖ Free cash flow collapsed 95% to $1.2B on $44.2B capex — spending is enormous  $META — ✅ BEAT (w/ asterisk) ✦ Ad engine firing on all cylinders — but user growth and capex raise are the flags ➕ Revenue $56.31B (+33%) — fastest growth since 2021 | Q2 guided $58–61B  ➕ Ad impressions +19% | Avg price per ad +12% | Operating margin held at 41%  ➖ EPS $10.44 boosted by $8.03B one-time tax benefit — clean EPS closer to $7.31  ➖ DAP missed at 3.56B vs 3.62B est | QoQ user drop blamed on Iran internet disruptions  $QCOM — ✅ BEAT ✦ Diversification working — autos + data center offsetting handset weakness ➕ EPS $2.65 vs $2.55 est | Stock up ~4% AH  ➕ First data center silicon shipments to a hyperscaler — margin accretive | Auto run rate guided above $6B exiting FY2026  ➖ Chinese handset customers cutting inventory on memory pricing pressure — headwind expected to last through Q3  $VIAV — ✅ BLOWOUT ✦ Photonics + network test demand exploding — data center spending flowing through ➕ Revenue $406.8M (+42.8% YoY) | NSE segment up 54.4% | Stock up ~13% AH 🚀  ➕ Non-GAAP operating margin expanded 430 bps to 21% | Q4 guided $427–437M  ➖ Cash flow pressure noted by analysts — worth monitoring next quarter → Cloud is the clear winner across the board → AI capex still accelerating — no signs of pullback → FCF compression across hyperscalers is the emerging risk → User growth cracks at $META worth watching → $VIAV quietly one of the best prints of the night
If you’re looking to create generational wealth then these are the stocks to hold: 1. CoreWeave ~ $CRWV 2. AMD ~ $AMD 3. Rocket Lab ~ $RKLB 4. Ondas ~ $ONDS 5. Amazon ~ $AMZN 6. Nebius ~ $NBIS 7. One Stop Sys ~ $OSS 8. MP Materials ~ $MP 9. ServiceNow ~ $NOW 10. Nvidia ~ $NVDA AI infrastructure, space, energy, chips, & defense are the themes that’ll dominate the next decade. You’ll look back later this year & regret not buying more. Don’t miss out…
$AMZN Jassy's comment about @Amazonleo satellites, integrated with @awscloud cloud infrastructure for customers, seems very compelling and brilliant. I can now see why @Delta chose @amazonleo over @Starlink .
Looks like all the CapEx guidances have been raised again during the earnings of the hyperscalers. Here is an overview of the CapEx guidances of $AMZN, $GOOGL, $META and $MSFT. - $AMZN Expected 2026 CapEx: ~$200 billion Amazon is forecasting a massive increase in capital expenditures for the full year, expanding to nearly $200 billion (up from roughly $52.7 billion just a few years ago in 2023). This spending is almost entirely aimed at boosting infrastructure to meet the explosive demand for AWS and custom AI services. - $GOOGL Expected 2026 CapEx: $175 billion – $185 billion Alphabet guided for an enormous full-year CapEx cycle, which is nearly double the $91.4 billion they spent in 2025. The vast majority of this capital is being allocated to machine learning (ML) compute and data centers for Google Cloud, backed by a large backlog of signed enterprise AI contracts. - $META Expected 2026 CapEx: $115 billion – $135 billion Meta has pre-signaled that its infrastructure buildout will sit at the high end of this range if training compute demand stays elevated. This is nearly double the $72 billion they spent in 2025. Investors are watching this closely, as spending beyond $135 billion could renew investor debates over Mark Zuckerberg's spending discipline versus near-term free cash flow. - $MSFT Latest Reported CapEx: $31.9 billion (Fiscal Q3 2026 / Calendar Q1) While the other tech giants are signaling massive escalations for the year, Microsoft actually offered a slight breather. They reported $31.9 billion in quarterly CapEx, which came in roughly $3.4 billion below estimates. This was a welcome signal to investors that Microsoft's AI infrastructure buildout might finally be moderating toward a more predictable, digestible pace after several quarters of aggressive escalation. - Conclusion Combined, these hyperscalers are laying out well over half a trillion dollars in infrastructure investments this year alone. Rather than funding traditional software development, this historic tsunami of capital is being aggressively channeled into building the physical foundation of the AI era. The lion's share is flowing directly into silicon and compute, specifically the acquisition of highly advanced AI accelerators and the development of proprietary, in-house chips needed to train massive frontier models. Simultaneously, billions are pouring into real estate and data centers to rapidly construct the specialized, high-density server farms that house these massive computing clusters. Finally, because AI workloads run incredibly hot and demand unprecedented amounts of electricity, a rapidly growing portion of this CapEx is being diverted to power and cooling infrastructure, securing advanced liquid cooling systems, transformers, and dedicated energy pipelines just to ensure the grid stays online and the machines keep running.
@miraclemaster07 They already got scaling customers like Airbus and the European Space Agency. They also have a new contract with a big US customer, probably $AMZN for their project LEO or $ASTS. But at the moment 75% of the revenue comes from SpaceX so it’s a risk indeed.
I've monitored the situation for you. TLDR on hyperscaler capex spend (signal aside from $TSM). From $MSFT, $AMZN, $META earnings: Upstream semi supply chains go brrr. $META: 2026 FY capex $115-$135B Revised Q1 ER: $125B-$145B capex raised. -> Higher component prices (price hikes) -> Aggressive AI infra spending -> Custom Model Training $MSFT: was actually $31.9B vs ($35.29B) but due to supply chain bottlenecks, rather than lack of resources. Still waiting for confirmation around $AMZN but their original capex projection was ~$200B from Jassy's note earlier this year. So you can sleep easy, all the semi supply chain names still likely to keep going brr next quarter, since there's so much capex funneled into them. Then you get the new fed chair who is gung-ho all in on AI + rate cuts, with Jerome keeping stuff chill in the back (which markets probably like)
BREAKING: $META earnings: - EPS: $10.4, est: $6.82 - Revenue: $56 billion, est: $55 billion Amazon, $AMZN, earnings: - EPS: $2.78, est: $1.64 - Revenue: $181 billion, est: $177 billion
$AMZN (Bloomberg) -- Amazon reported Amazon Web Services net sales excluding F/X for the first quarter that beat the average analyst estimate. FIRST QUARTER RESULTS Amazon Web Services net sales excluding F/X +28%, estimate +25.7% (Bloomberg Consensus) Net sales $181.52 billion, estimate $177.23 billionAWS net sales $37.59 billion, estimate $36.68 billion Online stores net sales $64.25 billion, estimate $62.65 billion Physical Stores net sales $5.79 billion, estimate $5.81 billion Third-Party Seller Services net sales $41.58 billion, estimate $40.78 billion Advertising services net sales $17.24 billion, estimate $16.9 billion Subscription Services net sales $13.43 billion, estimate $13.07 billion North America net sales $104.14 billion, estimate $102.08 billion International net sales $39.79 billion, estimate $38.59 billion Third-party seller services net sales excluding F/X +12%, estimate +10.9% Subscription services net sales excluding F/X +12%, estimate +11% EPS $2.78, estimate $1.62 Operating income $23.85 billion, estimate $20.75 billionOperating margin 13.1%, estimate 11.7% North America operating margin +7.9%, estimate +6.85% International operating margin 3.6%, estimate 2.58% Fulfillment expense $27.29 billion, estimate $27.31 billion Seller unit mix 60%, estimate 60% SECOND QUARTER FORECAST Sees net sales $194.0 billion to $199.0 billion, estimate $189.15 billion Sees operating income $20.0 billion to $24.0 billion, estimate $22.86 billion COMMENTARY AND CONTEXT Net sales are expected to be between $194.0 billion and $199.0 billion, or to grow between 16% and 19% compared with second quarter 2025. Operating income is expected to be between $20.0 billion and $24.0 billion, compared with $19.2 billion in second quarter 2025.
4 of the MAG7 report this afternoon $AMZN $GOOGL $META $MSFT $MSFT has had a recent streak of earnings prints that resulted in price movement that far exceeded the expected move, where was $GOOGL is sporting a recent streak favoring options sellers How do you think these MAG7 names will do this afternoon? https://t.co/4JlnyBTQ6F https://t.co/UgHh97g5ui
If Amazon does well, so does the broader market. The key level I’m watching is 255. Above that, I like it from the long side. https://t.co/fj7EY9ZbZt $AMZN https://t.co/CxkrESDWJR
Fun fact, $SIVE just crossed the $1B MC threshold. So a select few US institutions are able to buy it now (fund mandates) However, the vast vast majority still can’t until they get listed on NASDAQ. Just an FYI: $1B valuations are spare change for institutional investors in US hyperscaler supply chains if they end up powering $JBL, $AMD, $AAPL, $AMZN, $MSFT and others. Just look at $LWLG, $1.9B MC off 1 testing agreement with $TSEM.
If I had to pick 10 stocks to hold until 2030, it would probably be these: 1. NVIDIA - $NVDA 2. IREN - $IREN 3. MP Materials - $MP 4. One Stop Systems - $OSS 5. Rocket Lab - $RKLB 6. Amazon - $AMZN 7. Ondas - $ONDS 8. NuScale Power - $SMR 9. Bloom Energy - $BE 10. AMD - $AMD AI infrastructure, defense, energy, and space - the themes that will define the next decade. What would you add or remove?
These next 24 hours are going to make, or break many portfolios… $MSFT, $GOOGL, $AMZN & $META all report earnings after the bell tomorrow. Not only this, but Jerome Powell will have last ever FOMC speech as FED chairman. This is a day thats going to be remembered for months… https://t.co/L33DjGa1XG
OpenAI missed revenue - market reacting → CFO worried they can’t afford future compute contracts → Anthropic + Google stealing enterprise share → Board questioning Altman’s spending spree → Subscriber defections rising The company that started the AI gold rush can’t hit its own numbers. $MSFT earnings Wed. $NVDA, $AMZN, $GOOGL all in the crossfire. If OpenAI is struggling with $122B in funding… the AI capex supercycle has a problem.
The White House is quite literally telling you to buy these 5 sectors… Rare Earths ~ $USAR, $MP, $CEG Space ~ $RKLB, $PL, $ASTS, $LUNR Chips ~ $AMZN, $AMD, $GOOGL, $TSM AI Infrastructure ~ $CRWV, $NBIS, $ADUR, $CIFR Defense ~ $ONDS, $PLTR These names will squeeze over the next 8 months & make many rich. Don’t miss out…
This is the week the AI trade either gets extended or gets questioned. $GOOG, $AMZN, $META, $MSFT all report Wednesday night. $AAPL Thursday. Five companies. One week. Combined market cap somewhere north of $14 trillion. The market isn't asking whether they beat revenue estimates. It's asking one question: is cloud capex still accelerating? Because the entire bottleneck thesis rests on this. If hyperscalers pull back on data center spend on $IREN, $NBIS, $WULF, $CIFR, $APLD even slightly, even in guidance language, EVERY f….. AI infrastructure name gets re-rated downward. Watch for: > Cloud revenue growth rate vs. prior quarter > Capex guidance language "accelerating" vs. "maintaining" vs. "moderating" > Any mention of compute shortages, power constraints, or data center lead times > OpenAI partnership commentary from Microsoft post-restructuring The tone of five earnings calls this week will set the direction for AI infrastructure for the next 6 months. This is the most IMPORTANT earnings week of 2026. -BP This is not financial advice, always DYOR.
Investing into these 10 stocks will set you up to be rich before 2030: 1. AMD ~ $AMD 2. CoreWeave ~ $CRWV 3. Nebius ~ $NBIS 4. One Stop Sys ~ $OSS 5. Rocket Lab ~ $RKLB 6. Amazon ~ $AMZN 7. Oracle ~ $ORCL 8. Ondas ~ $ONDS 9. ServiceNow ~ $NOW 10. Google ~ $GOOGL All these setups are on the verge of a major breakout. You’ll look back at this list at the end of this year, & be glad you listened. Don’t miss out…
BIG TECH EARNINGS PREVIEW The most important week on Wall Street $GOOG | Rev: $107B | EPS: $2.67 → Google Cloud spotlight — 50%+ growth expected post $32B Wiz acquisition → Key question: Do AI search features grow the pie or shrink ad clicks? → Tariff pressure on retail advertisers + $40B Anthropic capex in focus → Wall St. consensus PT: $381 $AMZN | Rev: ~$177B | EPS: $1.65 → AWS growth: consensus 26% — but AI backlog could push it higher → $200B capex plan in 2026 dwarfs current free cash flow → Retail margins under pressure from import costs → Forward AWS guidance = the only number that matters $META | Rev: $55.6B → Can massive AI ad spend actually generate operating leverage? → Reality Labs still bleeding billions quarterly → WhatsApp + Threads monetization = long-term upside optionality → Risk: Chinese advertiser pullback on trade tensions $MSFT | Rev: $81.4B → Azure growth is the make-or-break metric → Any deceleration below 37% guidance = selloff trigger ⚠️ → Copilot enterprise adoption slower than expected → Annual capex doubling to $104B compressing cash flow margins $AAPL | Rev: $109.7B → Tim Cook resignation = succession narrative dominates 👀 → Services segment carrying earnings weight → Tariff hit: ~$900M this quarter — India production shift is the hedge → All eyes on June WWDC for AI monetization + Siri overhaul
Earnings season is heating up — week of April 27th is loaded. $META $AMZN $MSFT $AAPL $GOOGL all reporting this week. The big 5 in one week — markets will move on every print. $META & $AMZN — AI spending vs margin story $MSFT — Azure growth is the number that matters $AAPL — tariff impact on guidance is the real question $AMD — data center GPU revenue vs $NVDA narrative, MI300 demand is the key metric $LLY — GLP-1 demand still the biggest theme in biotech $SOFI — rate sensitive, watch loan growth Volatility is coming. Know your positions, set your levels, don’t react emotionally to after-hours swings. Earnings = opportunity for the prepared, chaos for the reactive.
CPU ecosystem map across every tier: TIER 1 — Pure CPU Giants $INTC — Intel. The turnaround is real. Q1 2026: revenue $13.58B, EPS $0.29 crushed $0.01 consensus. Data Center revenue +22% YoY. Stock surged nearly 25% in a single session. CEO Lip-Bu Tan declared: “The next wave of AI will bring intelligence closer to the end user — from foundational models to inference to agentic.”  Up 80%+ YTD before that gap. $AMD — EPYC CPU order book nearly sold out for 2026. Q4 2025 revenue $10.27B, up 34% YoY, with record Data Center revenue of $5.38B.  MI400 platform coming. 1-year return: +269%. The share-gainer. $ARM — The toll road of CPUs. Used in 99% of the world’s smartphone CPU cores.  In 2026, ARM announced the launch of its own CPU products on top of its existing royalty business.  Up +87% YTD before Intel’s earnings day gap. Capital-light, royalty compounder. TIER 2 — CPU-ADJACENT INFRASTRUCTURE $QCOM — Snapdragon X Elite attacking PC CPU market with ARM-based Oryon cores. Edge AI CPU momentum building across enterprise. Automotive + IoT CPU exposure via Snapdragon Cockpit Elite. $MRVL — Custom XPU + CPU silicon. 18+ socket wins. $75B design pipeline. Data center CPU-adjacent workloads = direct tailwind. $AVGO — Custom ASICs + CPU workload accelerators for hyperscalers. AI business grew 106% YoY to $8.4B last quarter. Projects $100B+ business by 2027.  The ASIC answer to x86. $TSM — Makes every CPU on the planet. TSMC fabs AMD EPYC, Apple silicon, Qualcomm Snapdragon. ~70% foundry market share. Trading 14% below Morningstar fair value of $428.  You can’t build a CPU without TSMC. TIER 3 — CPU ENABLERS & PICKS/SHOVELS $MU — Every CPU needs memory. Micron can only fulfill half-to-two-thirds of current medium-term demand. Revenue was $13.6B two quarters ago, $23.9B last quarter, guiding $33.5B next quarter.  Memory is the bottleneck. $SIMO — SSD controllers feeding CPU storage layers in AI data centers. 46% YoY revenue growth. PCIe Gen5 controllers showcased at NVIDIA GTC 2026. The quiet CPU enabler. $ALAB — PCIe + CXL connectivity silicon — the bus that CPUs talk to everything else on. 75%+ gross margins. Zero debt. Every AI CPU cluster needs Astera Labs. $RMBS — Rambus. Memory interface IP. LPDDR5X SOCAMM2 server memory chipset for AI CPUs. ~80% gross margins. Capital-light IP model — gets paid every time a CPU ships with their interface. $GFS — GlobalFoundries. Specialty foundry for RF, automotive, aerospace, and IoT CPUs. The mature-node CPU manufacturer for defense + industrial. TIER 4 — RISC-V REVOLUTION (THE FUTURE CPU WAR) Tenstorrent (private — Jim Keller’s company) — First-gen RISC-V CPU “Ascalon” delivers 10-20 SPECint2006/GHz, competing directly with ARM’s Neoverse V2.  IP licensees already include LG and Hyundai.  Backed by Hyundai, Kia, Samsung. Watch for IPO. $CAN — Canaan Creative. Launched the world’s first commercial edge AI chip based on RISC-V.  Public, listed, speculative. RISC-V + AI edge play in one ticker. SiFive (private) — The ARM of RISC-V. Intel tried to acquire for $2B. CPU IP licensing model. IPO candidate to watch. TIER 5 — HYPERSCALER CUSTOM CPUs (Own The CPU, Own The Cloud) $AMZN — Graviton ARM-based CPUs + Trainium AI chips. Trainium 2 and 3 at max capacity. Nearly all Gen 4 capacity already pre-sold 18 months out.  AWS custom CPU = lowest cloud compute cost. $GOOGL — TPU + custom ARM CPU for Google Cloud. Fastest-growing cloud CPU fleet. $MSFT — Azure custom ARM silicon + Cobalt CPU. AI inference at edge + cloud. Azure fastest-growing hyperscaler by AI workload. The GPU era is maturing. The CPU supercycle is just loading up. Every layer of this stack is a potential winner. Not financial advice.
Agreed, and glad DNB, one of Europe's leading banks, went out to defend $SIVE valuations alongside me. I still think $SIVE can reach $10B MC in 1 year time as their laser growth scales proportionally to: - $AAPL Watches - $JBL 1.6T Volume - $MRVL CPO Volume - Ayar Volume - $POET Volume Depending on how their qualification plays out into volume ramp. As Sivers supply lasers to all the next generation of 1.6T/CPO players in the space (into ~ $AMD, $NVDA, $AMZN, $MSFT type supply chains). These are EXISTING players at a ~990M MC. Not even including TAM expansion or more partnerships coming up. Especially now with NASDAQ listing, US institutions are forward looking and price in ~12M ahead of time, compared local European valuations that mainly look at previous 12 months. Banks usually provide very conservative targets (eg. 3 years for a 10x), but I do see potential for this company to be the next $LITE very soon. Europe should embrace positive-sum growth of their own companies that supply to hyperscalers. As their frontier companies provide back to locals through taxes, economic growth, and job growth.
Big earnings week ahead. Names on deck: $AMKR $CDNS $HOOD $SPOT $GLW $BE $ENPH $AMZN $MSFT $META $GOOGL $QCOM $SOFI $LMND $KLAC $VKTX $VIAV $AAPL $RDDT $RBLX $ZETA $RIVN $SNDK $WDC $ROKU $FSLR $TEAM $AXTI Plenty of market-moving catalysts across AI, tech, fintech, solar, biotech, and consumer. Expect volatility, sharp reactions, and opportunities. Stay selective. Trade the setup, not the hype.
👀 next week might be the most important week of 2026 for AI infrastructure investors. $MSFT, $GOOG, $AMZN, $META all report earnings between April 29 and May 1. combined, these four companies have publicly committed to over $700 billion in AI infrastructure capex this year. the market has priced the AI trade at record highs. $NVDA is peaking. everything is working. but here’s the thing nobody is saying out loud: all of this is priced on guidance that hasn’t been confirmed yet. next week’s earnings calls are not just about revenue and EPS. they are about whether hyperscaler capex guidance holds, increases, or the tail risk moderates even slightly. a single line from a Microsoft or Amazon CFO about slowing spend would send a wave through every AI infrastructure name in the market simultaneously. the reverse is also true, if all four reaffirm or raise capex targets, the AI trade gets a structural confirmation signal that justifies the valuations. this is asymmetric event risk for the sector. the BULL case: four consecutive guidance upgrades from the largest capital allocators in history. the infrastructure trade re-rates higher. the BEAR case: one company moderates language about 2027 capex. every AI data center, every GPU manufacturer, every power provider trades down on the same sentence. pay attention to the exact language. not just the numbers, the language. the capex confirmation window opens Tuesday. position accordingly. -BP Note: This is not financial advice, always DYOR.
Longs always win. Here’s why time destroys shorts: - Time Is A Short Seller’s Enemy Every day a short is open → borrowing fees tick up Options decay against them The market can stay irrational longer than they can stay solvent - Markets Have A Built-In Upward Bias S&P 500 is up ~10% annually on average over 100 years Companies retain earnings, innovate, expand Inflation alone pushes nominal prices higher Shorts are literally fighting compounding - The Asymmetry Is Brutal For Shorts → Max gain for a short = 100% (stock goes to $0) → Max loss for a short = INFINITE (no ceiling on price) Longs? Unlimited upside. Capped downside. - Short Squeezes Are Real $GME. $AMC. $TSLA. $MSTR. Shorts get squeezed out. Longs get paid. One squeeze can erase years of short profits in days. - Even “Bad” Companies Recover $AAPL was left for dead in the 90s $AMZN was a “dot-com bubble stock” in 2001 $NVDA was a gaming chip company nobody cared about Patience + conviction > short thesis every time The Bottom Line: Shorts need to be RIGHT → on direction → on timing → on magnitude Longs just need to be RIGHT on direction and patient Time does the rest.
Portfolio Update — April 25, 2026 $PLTR +758.70% $CLS +642.59% $ONDS +443.81% $HIMS +298.95% $NBIS +283.43% $OKLO +206.23% $SOFI +173.08% $RKLB +172.65% $IONQ +126.51% $AAOI +80.27% $NVDA +75.20% $TSLA +66.38% $ABCL +47.72% $AMZN +47.02% $QS +46.40% $MU +39.84% $META +38.04% $RDW +33.56% $GLXY +27.42% $PNG +25.00% $SOUN +1.23% new position $RR -5.06% 🩸 $PATH -7.09% 🩸 $JOBY -19.70% 🩸 Cash: 8.7% of portfolio 21/24 green. 3 positions in progress — conviction intact. $GLXY & $SOUN flipped green. 🙌 Not financial advice. DYOR.
You don't build generational wealth by day trading. You build it by owning the right stocks and letting them compound over time. Here are 10 companies I'm continuing to buy and hold: 1. $AMZN - Amazon ($260) AWS AI revenue at a $15B run rate with demand still outstripping capacity. $200B in 2026 capex going straight into AI infrastructure. Largest outside investor in Anthropic, which just fielded VC offers at $800B valuations. Expanding from cloud into custom silicon, satellites, robotics, and healthcare.
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