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@investmentguru_May 28, 2026 · 2:03 AM

THE NEOCLOUD SUPERCYCLE IS ACCELERATING The smartest money in AI just made its move — and the signal is impossible to ignore. Leopold Aschenbrenner’s Situational Awareness fund — which grew from $225M to $13.7B AUM in under 2 years — just disclosed a 5.6% stake (12.4M Class A shares) in $NBIS. This is the guy who called every major AI bottleneck years early. He doesn’t park $2B+ in a position casually. $NBIS — Nebius Group → Q1 revenue: $399M — up 684% YoY, 75% QoQ → AI cloud ARR surged to $1.9B, up 54% QoQ → Adjusted EBITDA margin: 45% in AI cloud segment → $27B, 5-year Meta deal locked in → $9.3B cash on hand after raising $6B+ YTD → Targeting 4 GW+ contracted power by year-end → Full year guidance: $3B–$3.4B revenue, $7B–$9B ARR → Selling out capacity every quarter — demand exceeds supply Aschenbrenner just validated what the fundamentals already screamed. $IREN — The Vertically Integrated Beast → $3.4B NVIDIA AI cloud contract secured → $9.7B Microsoft deal for GB300 GPUs (5-year) → $2.1B NVIDIA equity investment (30M share warrants) → Blackwell deployment at Childress, TX → ARR target raised to $4.4B → 4.5 GW total power footprint across TX, Canada, Oklahoma → $3B convertible note raise shows capital market conviction IREN isn’t a miner anymore. It’s a full-stack AI factory operator with NVIDIA and Microsoft as anchors. The NeoCloud Basket → $CRWV — CoreWeave: $99.4B backlog, 1GW+ active, pure-play benchmark → $NBIS — Nebius: hyperscaler-grade AI cloud, Aschenbrenner’s biggest bet → $IREN — Vertically integrated, power-rich, Nvidia & Microsoft backed → $APLD — Applied Digital: emerging data center player in the mix 🧠 Why This Theme Has Legs → Hyperscalers (MSFT, Meta, Google) are outsourcing GPU capacity to neoclouds at scale → Power-connected land is the new scarce resource — and neoclouds own it → Nvidia is now an equity investor in both $NBIS and $IREN — alignment is complete → The $100B+ AI capex wave flows through neoclouds before it reaches anyone else Other play - $SLNH $KEEL $BTBT $HIVE $WYFI $BTDR $CIFR The NeoCloud isn’t a trade. It’s the infrastructure layer of the AI supercycle. Not financial advice.

@blackpanthercapMay 27, 2026 · 5:17 PM

> Short-term portfolio: +200% YTD. > Long-term portfolio: +75% YTD. +1K new followers since yesterday. We just hit 25K followers. Amazing! This 2-minute post will save you from the herd and make you generational wealth: The market doesn’t crash; it rebalances. It systematically strips capital from the emotional and transfers it to the analytical. If you’re scared of "bubbles," you’re looking at the wrong metrics. Here is why the bears are wrong. 1/6 - Hard Money Reality Stop measuring your success in debased fiat. Measure in Gold. At a 0.009 ratio, the S&P 500 isn't "bubbly", it’s arguably at a generational entry point. We are 75x below the 1966 valuation peak. This isn't a top; it’s a coiled spring. 2/6 - The 50-Year Truth Look at the 50-year trend. It’s a straight line up, disguised by periodic panic. Every "catastrophic" dip on this chart was a gift to the patient. While the crowd sells into fear, the alpha-player accumulates. Time in the market > Timing the market. 3/6 - Bubble vs. Boom (The Alpha Metric) Stop calling every vertical chart a "bubble." Bubble (Cisco): Price decoupled from reality. Pure speculation. Boom ($NVDA): Price is simply tagging along with explosive earnings growth. Fundamentals dictate the trend. If earnings support the price, it’s not a bubble, it’s a compounding machine. 4/6 - The Takeaway The FUD is noise. The math is signal. We aren't in a bubble; we are in a valuation disconnect. When the nominal price looks high but the hard-money ratio hits multi-decade lows, you stop asking if it’s time to sell and start asking how much more you can buy. 5/6 - Final Note Yes, we will see dips. Trying to ‘time market’ compared to ‘buy and hold’ underperforms. Missing the best 10-50 days in a period often turns strong returns into flat or negative ones. Real investors attempting timing lag the index by 1-6% annually due to missed rallies, transaction costs, and behavioral errors. Perfect foresight is required for outperformance; imperfect timing reliably destroys compounding. Buy-and-hold captures the long-term equity premium shown in the 50-year chart. 6/6 - A Word of Gratitude We’ve now reached 25,000 in this community in six months. The scale exceeds what I imagined in the beginning. I’m truly grateful for every person who supported and sustained the community through that period. The collective presence created this result. Thanks for being here and showing your support. I’ll never take that for granted. -BP Please note, as always: this is not financial advice. $IREN $NBIS $CIFR $ASTS $RKLB $AAOI $OUST $SIVE $NOK $PNG.V $ONDS

@investmentguru_May 25, 2026 · 3:33 PM

THE AI COMPUTE ECOSYSTEM Neoclouds + Mining-to-HPC Pivots | Full Watchlist The bigger opportunity may be the infrastructure layer underneath it all: ⚡ Power 🏗️ Data centers ☁️ GPU clouds 🔁 Mining-to-HPC conversions This is where the next trillion-dollar buildout is happening. PURE NEOCLOUDS $CRWV — The benchmark neocloud. Massive backlog, enormous power footprint, and hyperscaler-level demand visibility. The scale advantage is becoming difficult to replicate. $NBIS — One of the most important emerging AI infrastructure names in Europe. GPU cloud + AI services stack still feels underappreciated relative to the catalysts forming around it. $IREN — One of the cleanest pivots from mining into high-margin HPC infrastructure. Microsoft partnership validated the thesis. $WYFI — Early-stage AI connectivity infrastructure play. Small, speculative, but positioned in the networking layer feeding AI compute demand. 🔁 MINING → HPC PIVOTS $APLD — Probably one of the most de-risked AI infrastructure pivots in the market today. Long-duration contracts changed the narrative completely. $HUT — The counterparty quality here matters. AI hosting economics now increasingly replacing pure mining dependence. $WULF — Aggressive HPC transition with major contracted revenue visibility. Power ownership becoming the core asset. $CORZ — Infrastructure already turning on. Market increasingly valuing the AI compute layer over the mining legacy. $CIFR — Clean rebrand and clearer positioning around AI infrastructure. AWS + Fluidstack relationships changed perception quickly. $RIOT — Earlier-stage pivot but substantial power footprint gives optionality if execution improves. $MARA — Largest mining balance sheet transitioning toward AI infrastructure. Treasury strategy adds another layer of optionality. $CLSK — Still mining-heavy today, but the market will likely react aggressively if a real HPC catalyst arrives. $HIVE — Quietly building AI/HPC exposure while maintaining geographic diversification advantages. $GLXY — The bridge between institutional crypto capital and AI infrastructure financing. Unique positioning. EARLY-STAGE / SPECULATIVE $KEEL — Power capacity story becoming more important than the mining narrative. Watching closely for long-duration AI leasing momentum. $SLNH — Renewable-powered AI/HPC infrastructure thesis. Small cap, volatile, but meaningful catalysts are beginning to appear. THE BIGGER THESIS → AI models need compute → Compute needs GPUs → GPUs need power + infrastructure → Power is now the scarce asset The market still underestimates how important MW ownership becomes in an AI-driven world. The next phase of the AI supercycle may not be won by the apps. It may be won by the companies controlling: ⚡ Energy 🏗️ Infrastructure ☁️ Compute capacity This is not just a software cycle anymore. It’s a physical infrastructure cycle. Not financial advice.

@investmentguru_May 25, 2026 · 3:22 PM

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.

@investmentguru_May 16, 2026 · 11:03 PM

One AI Supercycle - 10 Layers. 10 Tickers. Layer 1 — Power | $BE A single AI data center can consume 100–500MW. The US grid wasn’t built for this. Bloom Energy sits at the intersection of distributed power generation and the insatiable energy appetite of hyperscalers. Power is the foundational constraint — before chips, before cooling, before anything else. Layer 2 — Substrates | $AXTI InP (Indium Phosphide) and GaAs (Gallium Arsenide) wafers are the raw material for photonic components — lasers, modulators, detectors. AXT Inc supplies these specialty substrates to the photonics supply chain. Demand is structurally rising as Co-Packaged Optics (CPO) and 1.6T transceivers scale. Tight supply, long qualification cycles, few alternatives. Layer 3 — Chips | $NVDA H100. H200. Blackwell. Each generation widens the moat rather than narrowing it. CUDA lock-in is one of the deepest competitive advantages in tech history. $NVDA isn’t just a chipmaker — it’s the operating system of the AI era. Layer 4 — Memory | $MU HBM3E (High Bandwidth Memory) is the bandwidth interface between the GPU and data. Without it, the most powerful chips in the world are throttled. Micron is one of only three companies globally that can produce HBM at scale — alongside SK Hynix and Samsung. Supply is tight. ASPs are rising. The AI upgrade cycle is a multi-year HBM demand wave. Layer 5 — Photonics | $AAOI As data centers scale from 400G to 800G to 1.6T optical speeds, the components inside transceivers — lasers, modulators, detectors — face an exponential demand surge. Applied Optoelectronics is a pure-play photonics manufacturer benefiting directly from this cycle. Margin expansion + volume ramp = a powerful setup. Layer 6 — Optics | $LITE If photonics makes the components, optics assembles them into the interconnect. Lumentum is a leader in optical networking — coherent transceivers, 3D sensing, EML lasers. The 800G → 1.6T transition is a hardware replacement cycle that touches every hyperscaler and co-lo data center globally. This isn’t incremental demand. It’s a full network overhaul. Layer 7 — Cooling | $VRT Vertiv designs and manufactures liquid cooling, immersion systems, and thermal management infrastructure for high-density AI racks. As GPU power density climbs past 1kW per chip, traditional air cooling fails. Vertiv is already embedded with the largest hyperscalers. Backlog is growing. Lead times are extending. Layer 8 — Networking | $ANET Arista Networks builds the high-speed Ethernet switching fabric that connects thousands of GPUs inside AI training clusters. Their software-defined architecture and 400G/800G switching platforms are designed for exactly the traffic patterns AI workloads generate. AI networking is a separate, incremental growth vector on top of their already dominant enterprise business. Layer 9 — Data Centers | $NBIS Nebius Group is building AI-native data centers — purpose-built for GPU density, liquid cooling, and low-latency networking. Unlike legacy co-los retrofitting old facilities, Nebius is starting from scratch for the AI era. Backed by Yandex’s original infrastructure DNA, they’re scaling fast in a market where capacity is chronically constrained. Layer 10 — Hyperscalers | $GOOG Google has committed $75B in capex for 2025 alone. Their TPU buildout, data center expansion, and AI product integration (Gemini, Search, Cloud) make them both a consumer and a builder across the stack. Every dollar they spend flows down through layers 1–9. The AI supercycle isn’t a software story — it’s a physical infrastructure buildout that rivals the railroad era. Every layer of this stack is capacity-constrained, capital-intensive, and structurally undersupplied relative to where demand is heading. Most investors own one or two names at the top of the stack. The opportunity is in understanding all 10 layers — and sizing accordingly. Not financial advice .

@blackpanthercapMay 14, 2026 · 4:47 PM

🚨THE BEARS HAVE BEEN WRONG ABOUT THE SAME THING FOR THREE YEARS. And they’re about to be wrong again. Morgan Stanley just raised their S&P 500 target to 8,300. Year-end 2026 target: 8,000. Twelve-month target: 8,300. Over 12% upside from current levels around 7,400. But here’s the line that matters most: “Our bullish index view is an earnings story, not a multiple expansion one.” Read that again. EARNINGS. > 83.2% of S&P 500 companies beat Q1 estimates. > Morgan Stanley projects $339 EPS for 2026. That’s 23% growth, followed by $380 in 2027 and $429 in 2028. A compounding earnings machine. Not a bubble. Now let me show you what the bears keep getting wrong. There’s a clip making the rounds right now. A guy pulls up two charts side by side. > Left chart: The dot-com era. Price ripping higher. Earnings flatlined. Pure narrative. Pure multiple expansion. Pure speculation. > Right chart: Right now, 2023-2026. Earnings are LEADING price. AI and semiconductors are driving actual profits. Price is still CATCHING UP to the gray line. His point? We’re not in a bubble. We’re in the middle of an earnings cycle that hasn’t fully repriced yet. He’s right. $MU, $SNDK, SK Hynix and Samsung, 75% of the $DRAM market are proof. These are companies printing money faster than analysts can revise targets upward. > The memory supercycle isn’t priced in. > The AI infrastructure buildout isn’t priced in. The earnings are real and the multiples are still compressing INTO the growth. The dot-com bubble was speculation in search of earnings. This is earnings in search of a price that can catch up. There’s a massive difference. So where does the money go? $SPY and $QQQ as a passive bet + into the infrastructure that’s CAUSING the earnings surge. Here’s where I’m positioned: → $IREN → $NBIS → $CIFR → $AAOI → $SIVE → $RKLB → $OUST → $PENG → $ONDS → $KRKNF Every single one of these names sits inside the structural AI buildout that’s driving the future earnings Morgan Stanley just upgraded their entire index outlook for. HERE’S THE MACRO SETUP Morgan Stanley explicitly ties their revised outlook to AI adoption enhancing operating leverage across the S&P 500 and a rolling earnings recovery that continues to progress. This isn’t a macro call. This is a capital allocation call. The earnings cycle is real. The infrastructure buildout is real. The defense spending acceleration is real. $QQQ and $SPY tell you the tide is coming in. The names above tell you which boats rise the most. The dot-com bubble was price without earnings. This is earnings without price. The gray line hasn’t been touched yet. We’re mid-cycle. Act accordingly. Still long. Still adding. Still building. -BP Please remember: This is not financial advice. Do your own research. I hold positions in many of the names mentioned.

@blackpanthercapMay 13, 2026 · 3:33 PM

PORTFOLIO UPDATE If you followed me this year, your short-term portfolio is up 125%. Your long-term book is up 55%. I don’t use options, calls, leap, short e.g. The $SPX has spent most of 2026 trying to figure out what it is. We have not. WHY I SHOW UP EVERY DAY 1st January I had 1,207 followers. Today we are approaching 23,000. No subscription. No paid community. No X payout. No product. Just showing up every day and doing the work. I made a pact with my daughter to show up every single day. To show her what consistency actually builds. Not in theory. In real time, with a number she can watch move. I have a good job. I don’t need to monetize this. What I need is to show her what happens when you commit to something and don’t quit. By EOY, I want her to see 50K on that number. I’m still far from it. I also know how FAST that can change when the content connects and the market moves. So I keep going. @Sandeman52 is someone I think about here. He built something real without noise. That’s the benchmark. I’m here for the stocks, the connection, and the game. Everything else is secondary. LONG-TERM PORTFOLIO Eight positions. All structural. Sold $AMPX today with 30% profit. Added to my positions in $KRKNF, $OUST and $ONDS $RKLB: +83% | 18.51% of port. $NBIS +142% | 17.09% of port. $IREN +55% | 13.61% of port. $AAOI +113% | 12.11% of port. $OUST +39% | 11.60% of port. $CIFR +42% | 10.41% of port. $KRKNF -17% | 9.14% of port. $ONDS -1% | 7.52% of port. SHORT-TERM PORTFOLIO: $PENG +10% | 66.1% of port. $SIVE +98% | 33.9% of port. HOW I SEE THE REST OF 2026 Three forces are running the tape: 1. The AI tsunami is still in the first inning. Only 1% of companies consider themselves mature AI users. Over 92% plan to increase AI investment. McKinsey estimates cumulative US data center spending alone will reach $5 trillion by 2030. That capital is already committed. The infrastructure phase is being priced. The productivity phase hasn’t arrived yet. The application phase is after that. I don’t see a dot-com bubble. The dot-com companies burned cash on speculation. The companies in this cycle have real revenue, real backlog, and real physical constraints that large capital cannot route around. 2. Political trade has replaced free trade. This is the structural shift most retail investors are still underweighting. Real technology, real projects, real contracts. Political decision in Washington and repriced overnight. That is the new operating environment. Capital allocation now has a new first-order variable: political geography. Which government wants this to succeed? The US-UAE AI Acceleration Partnership, $1.4 trillion committed, sovereign wealth choosing the US as the headquarters of the next industrial era, is the clearest current signal. Political trade creates volatility in names exposed to the wrong jurisdiction. It creates structural advantage for names embedded in the right one. 3. The economy is shifting from consumption-driven to production-driven. The post-WWII consumer economy ran for 80 years on demand expansion. What is building now is a production expansion cycle, driven by onshoring, defense spending, AI infrastructure, and energy security. The companies that build, enable, or supply that production cycle are not being valued for what they are today. They are being valued for what the production economy needs them to be in 2028 and beyond. That is what this portfolio is built on. MY POSITIONING FROM HERE I expect more volatile than consensus expects. Full of buying opportunities for anything with hard assets and contracted revenue. Adding on dips. Not selling on headlines. The three forces above are not quarterly variables. They are decade-long structural shifts. Volatility between now and December is the mechanism that creates the next entry points or DCA opportunities. YTD +55% long-term. +125% short-term. And the cycle has barely started. -BP Note: This is not financial advice. I hold positions in all tickers mentioned.

@blackpanthercapMay 11, 2026 · 5:32 PM

Wall Street haven’t figured $PENG role out yet.. when they do, it will explode. Here’s everything you need to know and why $NVDA $AAOI $MU $SNDK will need to rely on them, at one point: $PENG provides the *end-to-end architecture* required to make components work as a unified system. They design, build, and manage "AI Factories" such as massive data centers optimized for AI training. Their portfolio covers: > Computing > Memory > Managed Services They solve the "Memory Wall" (the bottleneck between the processor and data) by owning memory technology and system integration expertise. And acts as the integrator layer, the "glue" that assembles raw components into a functioning supercomputer. Penguin’s uniqueness lies at the intersection of Memory and HPC (High-Performance Computing). Most integrators focus only on the compute (GPUs), but Penguin understands that the "Memory Wall" (the speed gap between the processor and the data storage) is the BIGGEST bottleneck in AI. They are one of the few players that own the memory technology (through their SMART Modular brand) and the system-level integration expertise. To give you an understanding of their position: Tier 1: Component Providers (The Raw Materials) $NVDA provides the Blackwell GPUs that serve as the engines of the factory. $MU provides High-Bandwidth Memory (HBM), while $MRAM provides persistent memory for reliability. $SNDK provides high-speed SSDs, and $P provides the all-flash arrays required to feed massive datasets to GPUs without lag. $AAOI provides the "nervous system" through 800G and 1.6T optical transceivers that move data between GPUs. $POET and $SIVE provide photonics to replace copper wires with light-speed links. $LPK provides precision manufacturing for the circuit boards these components inhabit. Tier 2: The Architect & Integrator (The Brain) This is the center. Penguin takes the chips $NVDA, memory $MU, storage $P, and networking $AAOI and "weaves" them together. They perform the "racking, stacking, and testing". Tier 3: Infrastructure Operators $NBIS & $IREN. These are the customers. They build the physical power, shells, and the AI cloud. They rely on Penguin for the technical deployment and managed services to keep fleets running 24/7. If the AI revolution is a gold mine, $NVDA and $MU are the pickaxes, $P and $AAOI are the conveyors and bins, $IREN and $NBIS are the ‘owners’, and $PENG Solutions is the engineering firm that builds and manages the entire operation. -BP NOT FINANCIAL ADVICE.

@investmentguru_May 10, 2026 · 8:25 PM

5 Small Caps with Large Cap Potential 1. $RKLB — Rocket Lab The clearest space infrastructure compounder. Q1 2026 revenue hit a record $200.35M, up 63.5% YoY, with a $2.2B backlog driven by major defense contract wins. The quarter marked a strategic inflection — expanded U.S. national security missions, the Mynaric acquisition for optical comms, and hypersonics/medium-lift pipeline visibility. Neutron medium-lift rocket is the next re-rating catalyst. 2. $CRDO — Credo Technology The AI connectivity pure-play. Revenue surged 272% YoY to $268M last quarter, with EPS beating by 850% vs. the prior year. The company now expects ~170% fiscal 2026 revenue growth, led by hyperscale AI cluster buildouts. Expanding from copper AECs into optical DSPs and ZeroFlap Optics — exactly the photonics layer you’ve been tracking. 3. $NBIS — Nebius Group Europe’s answer to CoreWeave. Q3 revenue growth of 355%, a $17.4B GPU-as-a-Service contract with Microsoft, and a $3B deal with Meta have driven massive momentum — with management noting capacity is completely sold out. Fair value estimates were recently raised from $70 to $85 by analysts. Full-stack AI cloud with room to run. 4. $PLTR — Palantir (borderline mid-cap now, but not large-cap yet) Already in my portfolio. Q1 2026 revenue grew 85% — the fastest since its 2020 IPO — with full-year guidance raised to $7.65–7.66B, implying 71% annual growth. Currently at sub-$350B market cap with analysts predicting a path to $1 trillion by 2030. Still has significant room ahead. 5. $OKLO — Oklo The nuclear power wildcard for the AI energy demand thesis. Small modular reactors are a decade-long infrastructure buildout — the market is pricing in near-zero now, but if even one commercial reactor comes online on schedule, the re-rating would be violent. High execution risk, massive TAM. The pattern across all 5: real revenue + accelerating growth + a structural secular tailwind (AI infra, space, nuclear energy). That’s what turns small caps into large caps — not hype alone. Not financial advice.

@investmentguru_May 10, 2026 · 11:26 AM

The Complete Data Center Stack: Where the AI Infrastructure Money Flows Most investors still think AI is just about GPUs. That’s incomplete. AI is an infrastructure buildout, and the real opportunity spans the entire data center stack. Every inference, every training run, and every deployed model depends on multiple layers working together. Here’s the breakdown: 1. Compute Silicon (The Brain) Tickers: $NVDA, $AMD, $AVGO, $INTC This is the foundation. GPUs, CPUs, accelerators, and custom silicon power training and inference. Why it matters: - Compute demand keeps rising with larger models - AI workloads are forcing faster chip innovation - Custom ASICs are becoming a major trend 2. Server OEMs & Solutions (The Hardware Layer) Tickers: $SMCI, $DELL, $HPE, $VRT, $ETN, $MOD Chips need systems. These companies assemble and deliver the physical AI servers and power systems. Why it matters: - AI racks are denser and hotter - Power distribution is now critical - Cooling is becoming a competitive advantage 3. Memory & Storage (The Hidden Bottleneck) Tickers: $SNDK, SK Hynix, $MU, $WDC, $P, Samsung, $NTAP AI models consume massive amounts of memory bandwidth and storage. Why it matters: - High-bandwidth memory is becoming strategic infrastructure - Data storage demand rises with AI deployment - Faster access = better model performance 4. Networking & Connectivity (The Nervous System) Tickers: $ANET, $CSCO, $MRVL, $CRDO, $CIEN, $NOK AI clusters must communicate at ultra-high speed. Why it matters: - Faster networking reduces latency - Data movement is becoming expensive - Scale depends on interconnect efficiency Key idea: AI cannot scale without bandwidth. 5. Neoclouds & Physical Infrastructure (The New Builders) Tickers: $NBIS, $IREN, $CRWV, $APLD $CIFR $DGXX These companies provide specialized AI infrastructure and hosting. Why it matters: - Cloud alternatives are growing - AI-native infrastructure is becoming valuable - Capacity shortages create pricing power 6. Energy (The Ultimate Constraint) Tickers: $CEG, $NEE, $EOSE, $GEV, $EQT, $VST $OKLO $BE $FLNC AI consumes enormous electricity. Power availability is becoming a limiting factor. Why it matters: - Grid demand is surging - Battery storage is essential - Reliable baseload power matters Final Thought The market often focuses on one winner. But AI infrastructure is an ecosystem. If you want to understand where capital flows next, follow the stack: Compute → Servers → Memory → Networking → Infrastructure → Energy The biggest winners in the AI cycle may not always be the obvious names. Sometimes the best opportunities are in the supporting layers that make the whole system possible.

@blackpanthercapMay 9, 2026 · 3:17 PM

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.

@mrmikeinvestingMay 9, 2026 · 2:29 PM

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…