$MU 148%
$AAOI 101%
$RDW 206%
Up in my portfolio https://t.co/cJhhEwe4En
Overnight market strength is flowing directly into the future-tech sectors.
Storage & Semiconductor names are moving higher across the board:
$MU +5%
$SNDK +3%
$MRVL +3%
$AMD +2%
$INTC +2%
$QCOM +2%
$TSM +2%
The AI infrastructure trade is alive and well.
At the same time, quantum momentum continues building:
⚛️ $INFQ +5%
⚛️ $RGTI +4%
And space stocks are catching another strong bid:
🚀 $ASTS +6%
🚀 $RKLB +2%
This is exactly what strong markets do:
Multiple future-facing sectors start participating together.
Semis.
Quantum.
Space.
AI infrastructure.
Watch where the money is rotating.
Small caps and disruptive tech continue to lead
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.
THE THEMATIC WATCHLIST — 2025 EDITION
Every mega-trend. Every sector. One list.This is how I’m thinking about capital allocation across the next cycle 👇
AI
→ $GOOGL $PLTR $NVDA $COHR
Chips
→ $TSM $ASML $AMD $MU $SNDK
Space
→ $RKLB $ASTS $LUNR $RDW $PL
Crypto
→ $COIN $BTC $ETH $SOL
Energy
→ $GEV $CEG
Drones
→ $ONDS
Nuclear
→ $CCJ $OKLO $VST $SMR
Defense
→ $KTOS $AVAV $AMTM
Robotics
→ $SYM $TSLA $ISRG
Batteries
→ $TE $EOSE $QS $FLNC
Quantum
→ $QBTS $IONQ $RGTI $INFQ
Healthcare
→ $NVO $UNH $HIMS
Data Centres
→ $IREN $CIFR $NBIS $CRWV
Critical Minerals
→ $TMQ $UUUU $CCJ
The next decade won’t be won by picking one sector.
It’ll be won by understanding how they connect.
AI needs chips. Chips need power. Power needs nuclear. Nuclear needs uranium. Uranium needs miners.
It’s all one trade — just different layers.
Know the map. Size accordingly.
Not financial advice.
My Top 5 AI Semiconductor Watchlist
The AI infrastructure buildout is still in full swing — and these 5 names are on my radar right now.
$MU
→ HBM demand from AI training/inference is driving explosive EPS & revenue growth
→ Consolidating near key levels — watching for breakout confirmation
→ Memory is the backbone of AI. Don’t sleep on $MU
$TSM — Taiwan Semiconductor
→ The world’s dominant foundry. Every AI chip runs through TSMC
→ Recently in a buy zone — still the highest-conviction foundry play long-term
$AMD
→ Earnings acceleration continuing in AI compute & data center chips
→ Post-breakout — watching for a healthy pullback before adding
→ Increasingly relevant in custom silicon as hyperscalers diversify away from NVIDIA dependency
$MRVL
→ Custom ASICs, silicon photonics, Ethernet switching — the full AI connectivity stack
→ Strong relative strength. AMD just disclosed a new equity stake in Marvell  — symbolic validation of MRVL’s role in AI infrastructure
→ Q1 earnings just reported — multiple analysts raising price targets
$ALAB
→ The emerging leader in AI connectivity — PCIe, CXL, and optical interconnect solutions
→ 100%+ revenue growth metrics. Pure-play on the AI scaling bottleneck
→ Technical momentum intact. Market cap now ~$49B with $1B TTM revenue  — premium valuation, but the growth justifies it
The AI capex supercycle isn’t slowing. These names sit at the heart of it.
Not financial advice.
10 Most Exciting Stocks
1. $SNDK (SanDisk)
The top-performing stock on Morningstar’s coverage list in 2026 — up a staggering ~464% YTD as flash memory demand for AI data centers explodes.  Pure AI storage play.
2. $NVDA (Nvidia)
The undisputed AI infrastructure anchor. The SOX index has hit 15 intraday all-time highs in 2026, with Nvidia remaining the dominant force in AI accelerators as hyperscalers pour hundreds of billions into build-out. 
3. $INTC (Intel)
The biggest turnaround story of 2026. Intel’s ASIC revenue nearly doubled YoY in Q1, already hitting a $1B annual run rate, as server CPUs find a new home in AI inference workloads.  Up ~197% YTD.
4. $BE (Bloom Energy)
Up nearly 198% YTD — the only non-tech name among 2026’s top performers — as fuel cell power solutions get pulled into the AI data center power demand story.  Fits squarely in your nuclear/clean energy layer.
5. $STX / $WDC (Seagate / Western Digital)
Both up ~180% YTD on AI storage momentum, with analysts raising fair value estimates ~50% after a “stellar” quarter where demand is outstripping supply. 
6. $TSM (TSMC)
Controls 72% of the foundry market, making it indispensable to the AI build-out. Its competitive moat — years and massive capital to replicate — keeps it at the center of every major chip designer’s roadmap. 
7. $MU (Micron)
Surging on data center demand, particularly high-bandwidth memory for AI training and inference.  Already on your watchlist — the cycle is turning hard.
8. $RXT (Rackspace Technology)
Up 165%+ in May alone on AI infrastructure partnership announcements  — one of the hottest neocloud/AI infra names this month. Small-cap, high-beta, fits your thesis.
9. $INOD (Innodata)
Triple-digit gains in May on LLM data contracts  — riding the AI data pipeline wave. Pure-play AI data services at a fraction of the valuation of bigger names.
10. $AVGO (Broadcom)
Supplying custom silicon (ASICs) and networking silicon to hyperscalers  — increasingly the “picks and shovels” winner as big tech builds proprietary AI chips.
Theme of this market: AI infrastructure capex is the engine. Memory, power, custom silicon, and neoclouds are the high-beta expressions. Energy names like $BE are the sleeper layer.
Not financial advice.
$MU
$CRDO
$AAOI
$AXTI
$MRVL
all green today
10 AI Infrastructure Stocks I’m Watching for the Long Game
1. $MU — Memory Is Now a Strategic Asset
Micron posted record Q2 FY2026 revenue of $23.86B — nearly 3x the same quarter last year — with record gross margins, EPS, and free cash flow.  HBM capacity is completely sold out through calendar 2026, with pricing locked in on the vast majority of that volume.  Memory is no longer cyclical commodity — it’s the bottleneck of the AI era.
2. $MRVL — The Custom Silicon Kingmaker
Marvell delivered record FY2026 revenue of $8.195B, up 42% YoY, with custom AI chip wins at Amazon, Microsoft, and Google anchoring its growth.  Its 800G and 1.6T optical DSPs have become the essential “plumbing” for hyperscale AI clusters.  The most underrated AI infrastructure name hiding in plain sight.
3. $CRDO — The High-Speed Connectivity Pure Play
Management is guiding over 50% YoY revenue growth for fiscal 2027 as AI infrastructure scales rapidly.  Rothschild & Co Redburn just launched coverage with a Buy and a $206 price target tied to surging generative AI infrastructure spending.  Ultra-low power, ultra-high speed — exactly what AI data centers need.
4. $AAOI — America’s 800G Transceiver Champion
AOI completed its first volume shipment of 800G products to a large hyperscale customer in Q1 2026 and is guiding for sequential revenue growth throughout the year, with significantly larger growth expected in Q3 as additional capacity comes online.  They’re building a 210,000 sq ft manufacturing facility in Sugar Land, TX with up to $300M in planned investment to become one of the largest domestic suppliers of AI datacenter transceivers. 
5. $AXTI — The Indium Phosphide Supercycle
AXT hit Q1 2026 revenue of $26.9M, up 39% YoY, with InP backlog exceeding $100M, and is doubling indium phosphide capacity in both 2026 and 2027.  Order demand for scale-out optics could grow 2x in 2026 and another 2x in 2027  — and every optical transceiver in every AI data center needs InP. This is the upstream pick-and-shovel few are talking about.
6. $INTC — The Turnaround Nobody Wants to Believe In
Intel is partnering with Nokia and Dell to advance next-gen 5G edge infrastructure, with its Xeon 6 Granite Rapids-D SoC delivering enhanced AI capabilities for far-edge deployments.  Foundry ambitions, US manufacturing tailwinds, and a deeply reset valuation. High risk — but if the turnaround lands, the upside is asymmetric.
7. $AMD — The Challenger That Keeps Gaining Ground
The iShares Semiconductor ETF is up 77% this year, with AMD among the key beneficiaries of AI infrastructure investment.  MI300X traction in inference, custom silicon partnerships, and a data center GPU roadmap that has Nvidia watching closely. The market keeps underestimating this one.
8. $QCOM — Beyond Phones, Into Physical AI
Qualcomm posted $10.6B in Q2 FY2026 revenue with record quarterly QCT automotive revenues, and combined automotive + IoT revenues up 20% YoY.  Momentum across personal, industrial and physical AI is growing  — this is no longer just a smartphone chipmaker. Edge AI, autonomous systems, and robotics are the next chapters.
9. $NOK — The AI-Native Network Play
Nokia is delivering advanced optical and IP data center connectivity to power AI computing across continents, while partnering with NVIDIA to define the next generation of global connectivity in the AI-native wireless era.  Deeply undervalued relative to its AI infrastructure footprint. Patient capital play.
10. $ARM — The Architecture Running AI Everywhere
In March 2026, Arm made history by launching its first-ever production silicon — the Arm AGI CPU — a data center processor for agentic AI workloads, developed with Meta, delivering more than 2x performance per rack vs. x86 platforms.  Arm’s compute platform now supports AI workloads ranging from milliwatts to gigawatts — from edge to cloud.  Every AI chip runs on Arm’s architecture. The royalty engine of the AI age.
$AMD is doing exactly what $MU did — and most investors still haven’t connected the dots
When $MU pivoted from commodity DRAM to HBM, the market was slow to re-rate it. Then it ripped.
$AMD is running the same playbook — but with TWO engines instead of one.
→ Data Center revenue: $5.8B in Q1 2026, up 57% YoY
→ EPYC hit a record 46.2% server CPU revenue share — an all-time high 
→ AMD’s Data Center revenue surpassed Intel’s for the first time ever this quarter 
→ Meta deploying up to 6 GW of AMD Instinct GPUs, with the first 1 GW powered by custom MI450-based GPUs 
The $MU parallel:
$MU was “just a memory company” until HBM became the AI bottleneck — then it re-rated violently
$AMD was “just NVDA’s weaker competitor” until agentic AI made CPUs + GPUs BOTH essential
Now $AMD has:
→ CPUs: EPYC dominating the agentic AI orchestration layer
→ GPUs: Instinct MI450 ramping with hyperscalers
→ Rack-scale: Helios platform competing end-to-end
Lisa Su doubled the server CPU TAM forecast to $120B by 2030 at 35%+ CAGR — and guided server CPU revenue up 70%+ YoY in Q2 
The re-rating thesis:
$MU got re-rated when Wall Street realized memory = AI infrastructure, not commodity
$AMD gets re-rated when Wall Street realizes CPU + GPU + rack = the second full-stack AI platform — not just NVDA’s backup
The sleeper upside: agentic AI makes CPUs more critical because inference systems need host compute, orchestration, and efficient general-purpose processing — giving AMD two engines running simultaneously 
One vendor risk is real for hyperscalers.
$AMD is the answer to that problem.
Not financial advice.
$MU
$MRVL
$CRDO
$AXTI
$MU
The AI Semiconductor Watchlist — “At Some Point, This Becomes a Buy”
$MU — HBM memory sold out through 2026 and the AI memory supercycle is just getting started. The 52-week range tells the whole story — from $90 to $818.  Micron is the picks-and-shovels play for every AI training cluster being built right now. Pullbacks are gifts.
$AAOI — Pure-play datacom optics in a world that can’t lay fiber fast enough. Stock has gone from $15 to $233 in 52 weeks  and is now digesting gains hard. The AI transceiver demand story hasn’t changed — the stock just got ahead of itself temporarily.
$MRVL — Custom ASIC + optical DSP + PCIe interconnect. Up 110% YTD and RBC just raised their price target to $200 ahead of Q1 earnings on May 27.  This is the hyperscaler’s chipmaker of choice and the AI custom silicon wave is still in early innings.
$CRDO — Credo is quietly becoming one of the most important companies in AI networking. Q3 earnings crushed estimates, Q4 guidance was strong, and the DustPhotonics acquisition accelerates the silicon photonics push with combined optical revenue projected above $500M in FY2027.  Strong Buy consensus across the Street. Any meaningful dip is a conversation.
$AXTI — The InP substrate supplier nobody talks about until it moves 10x. 52-week low of $1.38 to an all-time high above $125  — this is what a supply-constrained critical materials story looks like when the market finally discovers it. Every photonics chip needs InP. $AXTI makes the wafers.
$INTC — The most unlikely comeback story in semiconductors. Tesla foundry deal for 14A chips, Google ASIC partnership, $5B Nvidia investment, $5.7B CHIPS Act disbursement  — Lip-Bu Tan is executing and the foundry thesis is becoming real. Up 466% over the trailing 12 months  so valuation is stretched, but the long-term structural reset story is legitimate.
The AI infrastructure supercycle doesn’t care about short-term volatility. Every name on this list sits at the foundation of it. Patience > FOMO.
Not financial advice.
$MU
Buying opportunity soon
$NVDA EARNINGS INCOMING
Next week is not just a print — it’s a macro event for the entire AI trade.
→ Blackwell demand visibility is the #1 watch item
→ Data center revenue guide will set the tone for hyperscaler capex narratives
→ Any commentary on CoWoS/HBM supply constraints moves $MU, $SK Hynix proxies
→ Gross margin trajectory = the bull/bear fulcrum heading into H2
→ China export exposure still an overhang — watch management tone carefully
→ Beat + raise keeps the AI supercycle thesis intact. Miss or soft guide = sector-wide reset
Every name in AI infra — $AMD, $MRVL, $CRDO, $ALAB, $AVGO, $ARM — trades off this print.
This isn’t just $NVDA earnings. It’s a referendum on the entire AI capital cycle.
I am bullish for this.
Not financial advice.
5 STOCKS BUILT TO LEAD THIS MARKET
The names institutions are watching. The names retail is sleeping on. Here’s why these five aren’t just holdings — they’re market leaders in the making.
$NVDA — The Infrastructure of Intelligence
→ Every AI model runs on Nvidia silicon
→ Blackwell demand is backlogged into 2026
→ Data center, sovereign AI, robotics — all roads lead here
→ Not a chip company. It’s the picks & shovels of the entire AI supercycle
$MU — Memory is the Next Bottleneck
→ HBM3E demand exploding as AI models scale
→ Direct Nvidia supply chain play — feeds the beast
→ Massive pricing power cycle just beginning
→ Most underappreciated AI infrastructure stock in the market right now
$PLTR — The Software Layer Governments Trust
→ AIP platform turning enterprise & defense data into decisions
→ US Gov + NATO contracts = durable, sticky revenue
→ Becoming the operating system of AI-powered warfare & intelligence
→ Commercial growth accelerating — this is still early innings
$TSLA — More Than a Car Company
→ FSD + Robotaxi = a monetization model Wall Street hasn’t fully priced
→ Optimus humanoid robot could be the largest revenue opportunity in history
→ Energy storage division quietly compounding
→ Love it or hate it — the optionality here is unmatched
$GOOG — The Sleeping Giant Waking Up
→ Gemini integration across Search, Cloud, YouTube & Workspace
→ Google Cloud catching fire — enterprise AI deals accelerating
→ Waymo is the most undervalued autonomous asset on the planet
→ Trading at a discount to peers despite owning some of the best AI infrastructure on earth
→ Each one owns a critical layer of the next decade’s economy
→ Infrastructure. Data. Software. Autonomy. Intelligence.
→ These aren’t trades. They’re positions.
Not financial advice.
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 .
Weekend Dip Dive: The Dips Worth Watching
Market closed red across the board today. Nasdaq -1.54%. S&P 500 -1.24%. Dow -1.07%.  Inflation fear, rising yields, oil above $104, no Iran resolution. The headline looks scary. The opportunity list doesn’t.
Here’s what got hit and why it matters:
$NVDA — down ~4.4% today
Hit a 52-week high of $236.54 just yesterday  on reports the US greenlit H200 chip sales to 10 Chinese firms. Today was pure profit-taking and macro fear — not a fundamental breakdown.
The real event is next week. Nvidia reports Q1 FY2027 earnings after the close on May 20.  Street is expecting ~$78B revenue and $1.77 EPS — and Nvidia holds an estimated 75-85% market share in AI accelerators.  The dip into earnings is a gift if you believe in the print. TD Cowen has a $275 PT. Raymond James is bullish heading in.
$AMD — down ~5.7% today
Hit a daily high of $450.82 before closing near $420 — a -6.8% swing off the peak.  52-week range low was $107. It’s up nearly 4x from its lows. This is a sector-wide flush, not an AMD-specific story. Data center MI300X momentum is intact.
$INTC — down ~6-7% today
Traded from a session high of $116.22 down to $106.91 — an 8% intraday collapse.  The narrative is complex. Apple foundry partnership chatter is real, but analysts say it’s focused on legacy, lower-end chips. Still — Intel at $106 with a potential Apple relationship is a different story than Intel at $18 a year ago.
$MRVL — down ~5% today
Hit a 52-week high of $192.15 yesterday on the back of Cisco’s blowout earnings and AMD taking an equity stake in the company.  MRVL reports Q1 earnings on May 21 — same week as NVDA — with RBC at $200 PT and TD Cowen raising to $180 from $90.  Optical networking momentum is the thesis. This dip is pre-earnings noise. The print is the event.
$MU — down ~6.6% today
Pure macro flush. Retail sentiment stayed heavy on Stocktwits as traders discussed a looming Samsung Electronics labor strike that could divert memory demand directly toward Micron.  That’s a potential positive catalyst hiding inside a red day.
$POET — down ~18% today
A short-term correction after a meteoric 43% gain yesterday on the announcement of a $500 million+ contract with Lumilens for photonic integrated optical engines for AI hyperscaler data centers.  The contract is real. The deal is structural. The -18% is the market digesting a 43% single-day pop. The thesis is unchanged.
$CBRS (Cerebras) — down ~10% today
Surged 68% Thursday on its Nasdaq debut, approaching $100B valuation on just $500M in 2025 revenue.  Today’s -10% is the inevitable hangover from a 68% first-day pop. Still a volatile new listing — not a position for the faint of heart, but the AI chip competition narrative is very real.
The macro backdrop for next week:
The 10-year Treasury yield spiked to 4.55% — the highest in a year — while rate hike odds climbed to 45% for sometime in 2026, up from just 1% a month ago. Kevin Warsh officially takes over the Fed from Powell today.  New Fed chair + high oil + hot inflation = the market will be on edge heading into Monday.
The calendar that matters:
→ $NVDA earnings — May 20 after close. The most important print of the year.
→ $MRVL earnings — May 21. Optical + datacenter read-through.
→ Walmart, Home Depot, Target earnings next week — consumer health check.
Dips happen. Conviction is built in dips. Do your homework over the weekend.
0DTE Watch — If Market Bounces Today, It’s monthly OPEX Friday. Futures red. Inflation fear. But dip buyers have shown up 7 weeks straight. If the bounce comes — here’s where the 0DTE setups live.
$MU
$TSLA
$GOOG
$NVDA
$PLTR
Many green in my portfolio today
$QS
$SOUN
$MU
$AAOI
$VLN
$NOK
$RR
$DGXX
15 of my favorite AI infrastructure plays in this market right now:
$MU
$AMD
$INTC
$SNDK
$AAOI
$MRAM
$PENG
$MXL
$CRDO
$MRVL
$GLW
$NOK
$CEVA
$GFS
From memory, networking, photonics, optical connectivity, foundry, edge AI to telecom infrastructure — this sector is becoming the backbone of the next AI cycle. AI demand is no longer just about GPUs, it’s power, memory, data movement, fiber, cooling, networking and low latency infrastructure. That’s where I see some of the biggest long term opportunities developing. Every pullback in strong AI infrastructure names continues to get bought aggressively so far. Selective accumulation still looks like the best strategy in this market IMO.
$MU https://t.co/splAAQwARp
The 2026 Memory Market May Extend the Supercycle
AI training, inference, and data center buildout are keeping memory demand structurally elevated — and the full stack is worth watching.
Here’s who plays where 👇
🟠 DRAM / HBM
→ SK Hynix — world’s largest DRAM & HBM supplier
→ Samsung Electronics — top 3 DRAM & HBM globally
→ $MU — top 3 DRAM & HBM + #4 in global NAND
🔵 NAND
→ $SNDK — #5 in the global NAND market
🩵 HDD
→ $STX — Seagate Technology
→ $WDC — Western Digital
(Two of the last major global HDD manufacturers)
🟢 Data Storage Systems & Solutions
→ $NTAP — enterprise memory storage leader
→ $PSTG — global leader in flash storage
🔴 Equipment
→ $LRCX — memory packaging vendor
→ $AMAT — thin-film deposition for memory chip manufacturing
🔵 Controllers & Interconnect Silicon
→ $RMBS — U.S. memory IP vendor
→ $SIMO — global leader in memory controller solutions
→ $MRVL — leader in memory & storage technologies
→ $INTC — advanced packaging (Foveros) critical to next-gen HBM stacking
The memory supercycle isn’t just $MU.
It’s an entire ecosystem repricing for the AI era — from HBM to controllers to equipment.
Not financial advice.
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.
$MU feels like we might see healthy pullback tomorrow https://t.co/XggyWHGT65
Lots of runners in my portfolio today
$NBIS
$TSLA
$QS
$MU
$AAOI
$RKLB
$DGXX
$KEEL
and many more. When you stay patient with high conviction names, the market eventually rewards you.
Great day in the market. 📈
$MU $AMD $INTC $P $MRAM $MXL $CEVA $PENG $HIMX $ON $GFS $GLW $NOK
Some of the better-looking setups in this market right now.
Semiconductor, connectivity, memory, optical, and AI infrastructure names continue showing relative strength while many sectors are chopping sideways.
A lot of these charts are either breaking out or setting up near key levels with momentum still favoring the sector rotation theme.
AI IS THE MEGA-DRIVER
→ 1 ChatGPT query ≈ 10× the electricity of a Google search
→ Hyperscalers have announced nuclear PPAs exceeding 10GW since 2023
→ The wave thesis plays out in layers:
W1 → Semiconductors ($NVDA $AMD) — well known ✅
W2 → Memory ($MU $SNDK) — catching up ✅
W3 → Photonics ($COHR $AAOI $FN $CRDO) — mid-innings 🔄
W4 → ⚡ Energy ($CEG $VST $OKLO $ETN $GEV) — early innings. We are HERE 🎯
W5 → Robotics/Physical AI — next wave 🔜
$MU ~0.4x PEG
Micron posted $23.86B in revenue in fiscal Q2 2026 — up 196% YoY — with DRAM revenue alone rising 207%. Their 2026 HBM supply is already sold out under long-term contracts. The market is not pricing this in. This is the fuel supplier for AI and it’s trading like a legacy memory name.
Overnight Market Movers
Optical communications heating up:
$LITE +7% after joining the Nasdaq-100 effective May 18 — AI data center bandwidth trade remains strong.
Memory stocks continue higher:
$DRAM +6%
$MU +4%
$SNDK +2%
HBM + AI infrastructure demand still driving the memory supercycle.
Crypto-linked names rally:
$CRCL +5%
$MSTR +3%
Bitcoin strength continues lifting the digital asset ecosystem.
Space momentum stays explosive:
$RKLB +4% overnight after a massive +34% move previously.
Space remains one of the strongest thematic trades in the market.
Oil spikes sharply:
WTI crude +2.9% to $98.35
Brent +3.1% to $104.47
Markets reacting after Trump rejected Iran’s proposal, reigniting geopolitical supply concerns.
The market rotation is becoming very clear:
AI infrastructure • Memory • Optical networking • Space • Crypto • Energy
$MU https://t.co/t5nqqS5tfA
EVERY BUCK STOPS AT ENERGY — The Bottleneck Nobody Talks About Enough. The real constraint on AI isn’t chips. It isn’t bandwidth. It isn’t capital.
It’s electrons.
Here’s the full breakdown
NUCLEAR — The Baseload Beast
→ Only energy source delivering 24/7 carbon-free power at hyperscaler scale
→ Microsoft, Google, Amazon signing direct nuclear PPAs — unprecedented
→ Legacy fleet life extensions: cheapest, fastest path to zero-carbon baseload
→ SMR wave building: factory-built, faster deploy, co-locatable with data centers
→ Uranium supply chain revival underway — enrichment is the chokepoint
Tickers: $CEG $VST $OKLO $SMR $CCJ $LEU $LTBR
GRID — The Invisible Backbone
→ US grid built in the 1950s–70s. Not designed for 300MW data center campuses
→ 2,600 GW stuck in interconnection queues — more than entire installed US capacity
→ Large power transformers: 2–3 year lead times, barely made domestically
→ FERC Order 1920 mandated long-term transmission planning for first time ever
→ Grid hardware demand is a decade-long supercycle, not a trade
Tickers: $ETN $GEV $PWR
SOLAR — The Cost Curve Winner
→ ~99% cost decline since 1976 — cheapest new electricity in history
→ Constraint has shifted: no longer cost, it’s permitting + interconnection + storage
→ Solar + BESS is now the standard utility build
→ IRA credits extending economics through the 2030s
→ $FSLR only major US-based module manufacturer — direct IRA beneficiary
Tickers: $FSLR $ENPH $ARRY $TE
BATTERY STORAGE — The Enabler Layer
→ Renewables without storage are weather-dependent. Storage makes them dispatchable
→ LFP BESS: $1,200/kWh (2010) → ~$100/kWh (2024) → ~$60/kWh projected (2030)
→ 4-hour duration now standard. Long-duration (100hr+) is the unsolved problem
→ Iron-air, flow batteries, green hydrogen all competing for the long-duration crown
→ V2G sleeper thesis: 300M EVs by 2035 = massive distributed grid storage network
$FLNC $EOSE $QS $BE
RENEWABLES — Wind, Hydro & Geothermal
→ Offshore wind: world-class US East Coast resource, but capex + financing challenged
→ Pumped hydro still 95% of ALL global grid storage — massively underappreciated
→ Enhanced Geothermal Systems (EGS): Fervo Energy proved commercial scale — dark horse
→ Geothermal = 24/7 baseload, zero emissions, geography no longer a hard limit
$PLUG
AI IS THE MEGA-DRIVER
→ 1 ChatGPT query ≈ 10× the electricity of a Google search
→ Hyperscalers have announced nuclear PPAs exceeding 10GW since 2023
→ The wave thesis plays out in layers:
W1 → Semiconductors ($NVDA $AMD) — well known ✅
W2 → Memory ($MU $SNDK) — catching up ✅
W3 → Photonics ($COHR $AAOI $FN $CRDO) — mid-innings 🔄
W4 → ⚡ Energy ($CEG $VST $OKLO $ETN $GEV) — early innings. We are HERE 🎯
W5 → Robotics/Physical AI — next wave 🔜
RISKS TO WATCH
→ IRA rollback attempts — policy is the #1 overhang
→ Permitting timelines remain brutal (10–15 years for transmission lines)
→ Nuclear cost overruns — historical pattern, balance sheet quality matters
→ Rate sensitivity — these are long-cycle capex-heavy businesses
→ Supply chain concentration (China dominates solar, battery manufacturing)
Not financial advice.
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.
The Complete Semiconductor Playbook — AI Supercycle 2026
The AI trade is no longer one ticker. It’s a full stack. Here’s every layer:
💾 MEMORY
$MU · $WDC · $STX · $SNDK · $AMAT · $LRCX
→ HBM4 = the new oil. Not a commodity anymore. Strategic infrastructure.
🔌 CONTROLLERS
$RMBS · $SIMO · $ATOM · $MCHP · $ADI · $TXN
→ The traffic cops of every AI system. Overlooked. Undervalued. Critical.
📦 PACKAGING / TESTING
$AMKR · $FORM · $CAMT · $ONTO · $COHU · $ACMR
→ CoWoS. HBM stacking. Chiplets. This is where chips become systems.
🧠 NEXT-GEN MEMORY
$MRAM · $GSIT · $NVEC · $NLST · $CEVA
→ Beyond DRAM. Early-stage. Asymmetric upside when the cycle arrives.
🌐 OPTICAL / INTERCONNECT
$LITE · $AAOI · $COHR · $CIEN · $MRVL · $GLW · $MTSI · $TSEM · $POET · $LWLG · $FN
→ The hottest sub-sector in semis right now. 800G → 1.6T. CPO is the next arms race.
$MU. $SNDK. $AMD.
All ran hard. None of them are done.
Here’s why -
$MU @ $746 | Forward PE: 7.5x
→ 100%+ EPS growth projected in FY2026
→ Only US-based advanced memory manufacturer
→ Sold out through 2026
→ HBM TAM: $35B → $100B by 2028
→ Trading at less than HALF its historical forward PE average
The run looks big. The earnings growth is bigger.
$SNDK @ $1,562 | Forward PE: ~23x
→ Q3 revenue +251% YoY to $5.95B
→ Gross margins exploded from 22% → 78%
→ $42B in long-term AI customer contracts signed
→ NAND supply expected to stay tight through 2028
→ Susquehanna target: $2,000 | Bernstein: $1,700
The stock is up 400%+ YTD and analysts are still raising targets.
$AMD @ $455 | Forward PE: ~25x
→ Q1 FY2026 Data Center revenue: $5.77B (+57% YoY)
→ Q2 guidance: $11.2B — crushed the $10.5B consensus
→ Meta 6GW GPU deal. OpenAI. Oracle 50K GPU cluster.
→ Bernstein target: $525 | Barclays & Cantor: $500
→ $14+ EPS projected for 2027. $20 EPS “plausible” for 2028
Still only 6% market share in a $1.5T AI accelerator market by 2030.
The AI buildout isn’t slowing.
Memory is tight. GPU demand is accelerating. Agentic AI is just getting started. These aren’t momentum trades anymore — they’re infrastructure plays.
Not financial advice.
THE MEMORY SUPERCYCLE — and you can play it with ETFs right now.
4 tickers. Different risk levels. Same mega-theme.
$DRAM — +80.3% YTD
→ The pure-play memory ETF
→ SK Hynix 26% | $MU 25% | Samsung 21% | Others 28%
→ Maximum memory concentration in one ticker
→ Best if you want direct exposure to the DRAM/HBM supercycle
$EWY — +87.1% YTD
→ Plays the Korea memory duopoly — SK Hynix + Samsung in one fund
→ SK Hynix: 19%–24% | Samsung: 22% | Others: 54%–59%
→ Added macro beta on Korean won + broader Korean economy
→ Solid middle ground between pure memory and diversification
$KORU — +362.1% YTD
→ 3x leveraged version of $EWY essentially
→ Not a hold — a trade
→ Massive upside in a supercycle, brutal drawdowns on reversals
→ Only for those who understand leveraged ETF decay
$SMH — +52.6% YTD
→ Broader semi exposure with memory embedded
→ $NVDA 16% | $TSMC 10% | $AVGO 7% | $INTC 5% | $AMD 5% | $MU included
→ Lowest memory concentration but highest diversification
→ Best entry point for those new to the theme
Risk Ladder (lowest → highest):
$SMH → $DRAM → $EWY → $KORU
Pick your risk appetite. Size accordingly.
Not financial advice.
$MU looking back https://t.co/NQHigqqmNl
$MU added $200+ this week, insane https://t.co/gSM8IRVB98
$MU was $475 here
$MU
Looks like 4 digits in few months
$MU 100% from entry https://t.co/LCc5wJqG7E
$MU
$AMD
$INTC
Unstoppable in this market
Black swan innovations that could destroy today’s AI bottleneck trade (HBM, GPUs, power infrastructure):
Everyone is crowded into the same AI scarcity trade:
GPU scarcity → $NVDA
HBM scarcity → $MU, $SKHynix
Power scarcity → utilities, nuclear, grid names
Optical networking scarcity → $COHR, $LITE, $GLW
But black swans change the game.
Three innovations that could flip scarcity into abundance overnight:
1. Photonic / optical compute
If light replaces electrons for data movement and matrix compute, memory bottlenecks and power consumption collapse.
Public/public-adjacent plays:
$POET — optical interposer platform
$COHR — lasers / optical connectivity
$LITE — photonics & optical networking
$GLW — fiber infrastructure
$STM — silicon photonics manufacturing exposure
Private leaders: Lightmatter, Ayar Labs, Scintil Photonics are attracting major capital as optical interconnect demand accelerates.
2. Neuromorphic / memory-centric compute
If compute moves closer to memory, HBM dependency weakens.
Watch:
$IBM — neuromorphic leadership
$INTC — edge AI + advanced packaging
$AMD — architecture diversification
$MRVL — custom silicon + memory optimization
3. Energy abundance breakthrough
Fusion, superconductors, breakthrough cooling.
Watch:
$SMR — modular nuclear
$OKLO — microreactors
$CEG — baseload nuclear
$VRT — data center cooling/power
$ETN — electrical infrastructure
The biggest risk in crowded trades isn’t competition.
It’s technological discontinuity.
Most people model demand curves.
Few model paradigm shifts.
Black swans don’t arrive gradually.
They arrive and reprice entire sectors.
5 AI Infrastructure names I’m still buying on pullback
$MU
Hit a new 52-week high of $640 on strong hyperscaler demand signals and bullish analyst revisions.  HBM market growing from $35B → $100B by 2028. At 10x forward earnings, still one of the cheapest ways to play the AI buildout. Dips are loading zones.
$CRDO
Q4 earnings showed $407M revenue, up 201.5% YoY, beating consensus by 5%. Stock dropped 15% on margin compression fears (68.6% → 64-66% gross margin guidance) despite genuinely exceptional numbers.  That’s the entry. Still up 93% over 12 months — this is rotation, not deterioration.
$GOOGL
Cheapest hyperscaler at ~30x forward earnings. $155B Google Cloud backlog. Custom TPUs reducing AI compute costs while peers pay NVIDIA rent. Antitrust noise is the sentiment drag — the business hasn’t changed.
$FN
Q3 revenue hit a record $1.214B with YoY growth accelerating to 39%. Launched two datacom transceiver programs with a hyperscale customer and made a $32M minority investment in Raytec Semiconductor for co-packaged optics exposure.  Stock pulled back after in-line Q4 guidance of ~$1.3B revenue despite the beat.  Classic sell-the-news setup on a structurally growing name.
$AAOI
🚨 Earnings tonight (May 7). Already landed an upsized $71M 800G AI data center transceiver order, bringing one hyperscale customer’s total to $124M since mid-March. Building ~900K sq ft of Houston manufacturing and expanding laser capacity ~350% by 2027.  800G expected to become the largest data center revenue line starting Q2 2026, with demand projected to exceed production capacity through mid-2027.  High volatility name — size accordingly.
Not financial advice.
Capital rotation is getting louder in semis and AI infrastructure. Money is flowing into names like
$MU, $SNDK, $AMD, $ARM, $CRDO, $MRVL, $INTC, $AAOI, $ALAB, and $TSEM.
The market is rewarding memory, networking, packaging, and AI compute plays right now
$MU let’s see if it double in one month, need $706
$AAOI already double from
Entry in one month
$MU unstoppable in this market. https://t.co/gxDifGT60f
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.
$MU — added this one near $353 and it’s sitting near ~60% open gain. One of the strongest performers in the entire market right now and the thesis is only getting louder. https://t.co/gFIGms5o4L
