The next 5-10 years will RETIRE you.
MILLIONAIRES will be made from the AI super cycle build out.
Here’s how I and those following me will position:
2026–2027: AI Infrastructure Boom
Money floods into chips, memory, networking, photonics, data centers, cooling, and compute capacity.
AI Chips: $NVDA $AMD $AVGO $MRVL $INTC
Memory: $MU $SNDK $WDC
Photonics: $GLW $AAOI $NVTS
AI Infrastructure: $VRT $SMCI $DELL $NBIS $IREN
2028–2030: The Power Bottleneck
It becomes a grid, power, copper, uranium, and domestic supply chain story.
Grid: $ETN $PWR $HUBB $VRT
Electrification: $GEV $TE $ALB $SQM
Copper: $FCX $TECK $SCCO
Rare Earths: $MP $CRML $USAR $TMRC
Nuclear: $UUUU $SMR $OKLO
2030+: The Application Layer
Robotics: $TSLA $SERV $SYM
Autonomy: $ACHR $JOBY
Defense: $LMT $PLTR $KTOS $AVAV
Space: $RKLB $ASTS $LUNR $PL $BKSY
I’m trying to help you position and become a MILLIONAIRE. I will make sure it happens.
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.
Here’s exactly how you will WIN in the market next two weeks.
1. AI Leaders
$NVDA $AMD $AVGO
$ARM $MU
HOLD your winners. The AI trade is not over.
We are still early in the buildout.
Trim strength if needed.
Never fully exit your best names.
2. AI Infrastructure + Power
$BE $SMR $OKLO
$NVTS $HIVE
AI needs massive power expansion. Most people only chased semis.
The next wave is power, cooling, and infrastructure behind the boom.
3. Compute + Data Center Expansion
$IREN $NBIS $CORZ
$APLD $CIFR
Data centers are being built in almost every state right now. They are he back bone to AI.
4. Future Economy
$RKLB $ASTS $PLTR
$TSLA $ONDS $OUST
Space. Defense AI. Autonomy. Robotics. This is what the world will be in 10 years.
I still think dips are for buying. We are still so early in the AI trade and future world.
This how you will RETIRE early.
Those who listen will become MILLIONAIRES.
Once the AI hardware rotation slows down…
power will still need to grow exponentially.
Here’s the AI Power Super cycle that RETIRES you:
1. Layer 1 Fuel & Natural Gas Supply
(the energy feeding the AI boom)
• $EQT - largest U.S. natural gas producer
• $KMI - gas pipelines + infrastructure
• $WMB - natural gas transport + LNG
• $ET - massive U.S. energy network
2. Layer 2 Onsite / Fast Deploy Power
(the real near-term bottleneck solution)
• $BE - Bloom Energy fuel cells
• $GEV - gas turbines + power systems
• $CAT - backup generators
• $CMI - power generation systems
• $KGS - gas compression + mobile power
• $TE - solar + microgrid exposure
3. Layer 3 Grid & Electrical Infrastructure
(the hidden AI winners)
• $ETN - electrical systems
• $PWR - grid buildout
• $VRT - cooling + power management
• $HUBB - transformers + grid equipment
• $NVT - electrical infrastructure
• $EMR - industrial power systems
4. Layer 4 Nuclear & Long-Term Baseload
(the future AI power source)
• $OKLO - advanced nuclear
• $SMR - small modular reactors
• $NNE - portable microreactors
• $CEG - largest U.S. nuclear fleet
• $VST - nuclear + power generation
• $BWXT - reactor components + services
Here is how it breaks down.
AI models get larger. Data centers get bigger.
Energy demand keeps accelerating.
Those who follow me will be able to RETIRE in the next 5 years.
You must know how the AI cycle will be built out and positioned early.
This is how the next decade builds out:
2026–2027:
AI demand accelerates.
Capital floods into:
AI chips, memory, infrastructure, power, and data capacity.
AI: $NVDA $AMD $AVGO $MRVL
Memory: $MU $SNDK $WDC
AI Infrastructure: $VRT $SMCI $NBIS $IREN
2028–2030:
Power demand becomes the biggest story in the market.
The world races to upgrade grids, secure materials, and build domestic supply chains.
Energy Grids: $VRT $ETN $PWR $HUBB
Electrification: $ALB $SQM $TE $GEV
Copper/Grid: $FCX $TECK $SCCO
Rare Earths: $MP $CRML $USAR $TMRC
Uranium/Nuclear: $UUUU $SMR $OKLO
2030+:
The applications layer scales globally.
Robotics, autonomous systems, defense tech, and the Space Economy become critical infrastructure.
Robotics: $TSLA $SYM $PATH
Autonomous Mobility: $ACHR $JOBY
Defense: $LMT $NOC $KTOS $AVAV
Space Economy: $RKLB $ASTS $LUNR $PL $BKSY
Most people will be lost.
I will help you position for an entire economic future.
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SpaceX is expected to IPO next month which could force the market to start treating space economy as foundational infrastructure with durable demand from both government & commercial customers.
That could lift entire public space ecosystem across launch, LEO connectivity & orbital infrastructure.
Current backlog across the ecosystem:
• $RKLB: ~$2.2B
• $FLY: ~$1.3B
• $ASTS: ~$1.2B
• $LUNR: ~$1.1B
• $PL: ~$900M
• $RDW: ~$498M
• $BKSY: ~$380M
• $VOYG: ~$275M
• $SPIR: ~$185M
• $SATL: ~$77M
🚀 THE NEW SPACE RACE IS ABOUT DATA CENTER
📈THE ANTHROPIC × SpaceX SIGNAL:
When Anthropic signs neocloud deals with Hut 8, Fluidstack, and CoreWeave — that’s terrestrial compute scaling.
This is why every hyperscaler is moving up:
∙$AMZN → Project Kuiper )
∙$GOOG → Starlink partnership + investments
∙$MSFT → Azure Space
∙Anthropic → infrastructure deals expanding into sovereign + edge compute
When SpaceX launches Starlink Direct-to-Cell and starts deploying V3 satellites with 1Tbps capacity — that’s the network layer of AI being rebuilt above the atmosphere.
The convergence is already happening:
∙Starshield (SpaceX’s classified gov division) is building dedicated DoD + intelligence constellations
∙Starlink is becoming the global low-latency backbone for AI inference at the edge
∙Lunar + LEO data centers are being prototyped (Lonestar, Axiom, Starcloud) — solar power is infinite in orbit, cooling is free in vacuum
HOW THESE 35 COMPANIES FIT THE ECOSYSTEM :
Think of the space economy as 5 layers stacked vertically — same logic as the AI stack:
LAYER 1 — RAW MATERIALS & COMPONENTS (the “semis” of space)
$HXL · $BWXT · $TDY · $HEI.A · $KULR · $ATRO · $RDW
Carbon fiber, nuclear cores, sensors, batteries, composites. Without these, nothing flies.
LAYER 2 — PRIMES & MANUFACTURERS (the + Foundry” layer)
$LHX · $LMT · $NOC · $RTX · $BA · $GE · $HON · $ESLT · $BAESY · $EADSY
Defense + aerospace giants that build the actual spacecraft, missiles, and satellite buses. Backlog, government cash flows.
LAYER 3 — LAUNCH moving (payloads to orbit)
SpaceX · $RKLB · $FLY · $SPCE
The cost of access. SpaceX has collapsed $/kg by 20x. Rocket Lab is scaling Neutron. This is the enabling layer for everything above.
LAYER 4 — DATA & CONNECTIVITY (the “cloud” layer)
$AMZN · $IRDM · $GSAT · $VSAT · $TSAT · $SATS · $SPIR · $PL · $ASTS · $SATL · $BKSY
Satellite networks. Earth observation. Direct-to-cell. This is the AWS of space — recurring revenue, subscription models, AI-ready data pipelines.
LAYER 5 — APPLICATIONS (the “AI/SaaS” layer)
$PLTR · $LDOS · $TRMB · $KTOS · $SIDU · $LUNR · $VOYG · $MNTS
Mission software, geospatial intelligence, lunar infrastructure, in-space services. Where the margin lives.
Photonics Is Where AI Infrastructure Meets Physical Limits
Copper interconnects are reaching practical limits inside high-performance data centers, which is why optical connectivity is moving closer to the core of the AI stack.
Photonics enables faster data transfer, lower power consumption, and longer-distance connectivity across GPUs, switches, racks, and data centers.
$NVDA — Nvidia
$NVDA sets the optical roadmap for AI factories. 200G-per-lane InfiniBand CPO switches are expected from 2026, while Spectrum-X Ethernet Photonics pushes optics closer to switching silicon.
$AVGO — Broadcom
$AVGO is the Ethernet silicon architect. Tomahawk 6 delivers 102.4 Tbps switching, while Taurus brings 400G/lane optical DSP for 1.6T links and a path toward 3.2T networks.
$CSCO — Cisco
$CSCO owns a full networking-plus-optics stack through Silicon One and Acacia. Recent AI infrastructure demand was roughly 60% systems and 40% optics, with 1.6T OSFP and 800G LPO now launched.
$COHR — Coherent
$COHR supplies lasers, 800G/1.6T transceivers, coherent modules, and OCS. Six-inch InP lines in Texas and Sweden can produce 4x more chips than older 3-inch wafers at lower cost.
$LITE — Lumentum
$LITE is a laser capacity gatekeeper. EML shipments hit records, OCS backlog moved above $400M, and ultra-high-power lasers are being built for CPO and optical scale-up systems.
$AAOI — Applied Optoelectronics
$AAOI is a vertically integrated optical module supplier. It exited 2025 near 90K monthly 800G capacity and targets 500K+ monthly 800G/1.6T units by end-2026.
$CRDO — Credo
$CRDO bridges copper and optics. ZeroFlap optics are already shipping to TensorWave, while Active LED Cables use MicroLEDs to extend reach up to 30 meters with lower power.
$ALAB — Astera Labs
$ALAB is moving from PCIe/CXL retimers into optical engines. XScale Photonics adds chip-to-chip optical IP, while Amazon’s warrant agreement includes optical engine solutions.
$MRVL — Marvell
$MRVL is the optical DSP engine. 1.6T entered production, 400G-per-lane tech has been demonstrated, and Celestial AI adds Photonic Fabric for future scale-up CPO networks.
$MTSI — MACOM
$MTSI sells the analog front-end inside optical links: TIAs, drivers, photodetectors, equalizers, and CW lasers. 200G photodetectors support 800G and 1.6T module ramps.
$TSM — TSMC
$TSM is the advanced manufacturing layer behind AI photonics. CoWoS, SOIC, and future CoPoS enable larger accelerators, HBM systems, and denser chip-to-optical packaging.
$GFS — GlobalFoundries
$GFS is a silicon photonics foundry. SiPh revenue passed $200M in 2025, Advanced Micro Foundry adds capacity, and a CLO platform win targets CPO for AI scale-up networks.
$FN — Fabrinet
$FN is the outsourced optical assembly floor. It builds DCI modules, datacom transceivers, CPO pilots, and OCS products while staying neutral with no competing in-house modules.
$TSEM — Tower Semiconductor
$TSEM is a SiPho and SiGe foundry play. Q4 SiPho reached a $380M annualized run rate, and management says Tower is the majority supplier of 1.6T silicon PICs.
$POET — POET Technologies
$POET integrates electronics and photonics on one interposer. POET Infinity secured a $5M+ production order, with management targeting 30K+ optical engines shipped in 2026.
$AEHR — Aehr Test Systems
$AEHR tests the reliability layer. FOX-XP systems burn in silicon photonics wafers before packaging, and effective backlog reached a record $50.9M after new photonics orders.
$AXTI — AXT
$AXTI supplies InP substrates for EML lasers and silicon-photonics transceivers. InP backlog is above $60M, capacity rose 25%, and management plans to double capacity by end-2026.
$SOI.PA — Soitec
$SOI.PA supplies Photonics-SOI wafers for silicon photonics. More than five customers are engaged, while Smart Cut supports 200mm/300mm wafers and LNOI beyond 1.6T.
$IQE.L — IQE
$IQE grows epitaxial layers for data-center lasers. Tier 1 AI data-center design wins and a first six-inch foundry platform position it upstream in InP, VCSEL, and silicon photonics.
$GLW — Corning
$GLW supplies the fiber, cable, and dense connectivity layer. A multi-year Meta deal worth up to $6B anchors AI data-center fiber demand and U.S.-origin optical capacity.
Top 2026 growth stocks supporting the next generation AI infrastructures buildout -
Optical sector
1. $AAOI - AI Data Center Optical Transceivers Lead | $50 billion TAM
2. $AXTI - Semiconductor Materials/InP Lead | $90 billion TAM
3. $LWLG - Electro-Optic Polymer Lead | $100 billion TAM
4. $LITE - Photonic Components Lead | $50 billion TAM
5. $COHR - Lasers/Optics Lead | $45 billion TAM
Critical Minerals
1. $USAR - US Rare Earth Lead | $30 billion rare earth TAM
2. $UUUU - Uranium Lead | $45 billion TAM
3. $MP - Rare Earth Producer Lead | $30 billion TAM
4. $UAMY - Antimony Producer Lead | $500 million TAM
Memory/Storage
1. $SIMO - Storage Control System | $150 billion TAM
2. $SNDK - NAND Flash Memory Lead | $500 billion TAM
3. $MU - HBM Memory Lead | $500 billion TAM
4. $WDC - Data Storage Systems Lead | $500 billion TAM
5. $MRAM - MRAM memory Lead | $200 billion TAM
Energy
1. $AMPX - Silicon Anode Battery Lead | $200 billion TAM
2. $TE - American Solar Lead | $1 trillion energy TAM
3. $EOSE - Zinc-Based/ Battery Storage Lead | $22 billion TAM
4. $BE - Fuel Cell Lead | $2 trillion TAM
Semiconductor
1. $NVTS - GaN Power Semiconductors Lead | $10 billion TAM
2. $MRVL - Networking Semiconductors Lead | $800 billon TAM
3. $AMD - AI GPUs Lead | $800 billion TAM
4. $ARM - Semiconductor Architecture Lead | $500 billion TAM
5. $AMBQ - Low Power Edge AI | $200 billion TAM
AI Infrastructures
1. $NBIS - AI GPU Cloud Infrastructure Lead | $500 billion TAM
2. $IREN - AI HPC Data Center Lead | $500 billion TAM
3. $CIFR - $BTC Mining Data Center Lead |$600 billion TAM
4. $ALAB - AI High-Speed Connectivity Lead | $1 trillion TAM
We are still early in the AI buildout phase and these stocks has long runway for growth.
Bookmark and invest in the best ones!
🚨The stock market is starting to look like 2008 again.
Right now, a small handful of stocks are holding up the entire market while most stocks quietly lag behind.
In 1999, the top 15 stocks drove nearly 70% of the S&P 500’s gains.
We still haven’t reached dot-com extremes yet…
but this is exactly how late-stage rallies start behaving.
And when the dot-com bubble finally cracked?
The Nasdaq collapsed nearly 78%.
That’s when the rotation began.
Money flowed out of crowded winners and into the laggards that never had their real move yet.
Rotation from Semi’s like $SNDK and $MU
That’s why I think the next phase of this market could favor:
Software-> $CRM $NOW $MDB $INTU
Financials-> $HOOD $SOFI $JPM
Healthcare-> $UNH $MRK $BSX
Consumer-> $NKE $HD $TGT
International-> $BABA $BIDU $JD
Real Estate-> $SPG $O
Copper / Metals-> $FCX $SCCO $TECK $CSCCF
Rare Earths-> $MP $USAR
Uranium-> $CCJ $UUUU
Sams simple logic.
Plays what’s working. Play the news. No one cares about the war. Maybe we drop for 2-3 dats then hoy again
Stunningly simple.
Chips. Avgo arm Nvda alab crdo txn and intc
Memory. Stx wdc mu sndk.
Optics lite cohr aaoi
Btc. Mstr coin
Clouds. Crwv orcl
Sam is just smarter than you. People stunned that I do this. Lives changed.
Oh my
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