Your optical landlord added copper $CRDO 1/21/28 c320 yesterday. R/r looked too good. I’m still ultrabullish optical and it will coexist with copper for years to come. I’m a firm believer that GAI server heterogeneity will increase over time. Not every installation will be the SOTA $NVDA GPU, making copper more of a viability in the less sophisticated/cost set ups.
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.
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.
$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.
5/6. Three wildcard picks that fits his frameworks for the next AI bottleneck: Wildcard 1: $CRDO Build the cables and chips that move data between GPUs inside AI clusters. revenue up 272% year over year. 88% market share in active electrical cables. the plumbing of every large-scale AI cluster running today. market still treats it as a niche semi name. Risk: copper faces long-term pressure from optical. customer concentration is real. Wildcard 2: $ALAB Builds the silicon that connects GPUs, CPUs, and memory so they can talk to each other at scale. Q1 2026 revenue up 93%. CXL memory controllers shipping to hyperscalers now. As agentic AI runs continuous multi-step workflows, memory-sharing becomes structural. astera built the controller for it first. Risk: valuation leaves no margin for error. any hyperscaler moving in-house re-rates it hard. Wildcard 3: $PENG 40 years of memory expertise. now building CXL-based servers that store AI agent context so inference doesn’t restart from scratch every step. Integrated memory revenue up 53% YoY. AI business now 60% of sales. A tier 1 bank is already running their product. Risk: Advanced computing revenue dropped 42%. Thin margins. Smaller operator in a space.
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 $GFS From memory, networking, photonics, optical connectivity, foundry, edge AI to telecom infrastructure — this sector is becoming the backbone of the next AI cycle. AI demand is no longer just about GPUs, it’s power, memory, data movement, fiber, cooling, networking and low latency infrastructure. That’s where I see some of the biggest long term opportunities developing. Every pullback in strong AI infrastructure names continues to get bought aggressively so far. Selective accumulation still looks like the best strategy in this market IMO.
AI IS THE MEGA-DRIVER → 1 ChatGPT query ≈ 10× the electricity of a Google search → Hyperscalers have announced nuclear PPAs exceeding 10GW since 2023 → The wave thesis plays out in layers: W1 → Semiconductors ($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 🔜
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.
The market is up. Oil is at $100+. Inflation is sticky. And bonds are whispering something equities are ignoring. Here’s what’s actually going on- OIL SHOCK REALITY ➜ Geopolitical tension pushed oil sharply higher earlier this cycle ➜ Supply risk around key shipping routes tightened sentiment ➜ Energy inflation became a second-wave macro driver This is not a clean disinflation environment anymore. WHY EQUITIES ARE STILL RISING ➜ Index strength is narrow, not broad ➜ AI capital expenditure is doing the heavy lifting ➜ Hyperscalers are still committing massive spend into 2026 ➜ Earnings growth is increasingly concentrated in AI-linked infrastructure In simple terms: It’s not “the market.” It’s a handful of mega themes. INFLATION IS NOT FULLY DEAD ➜ CPI has re-accelerated from early-year lows ➜ Producer pricing pressure remains elevated ➜ Services inflation is sticky ➜ Energy volatility keeps headline risk alive The “easy disinflation” phase is likely behind us. WHAT BONDS ARE REALLY SAYING ➜ 10Y yield ~4.4% | 2Y ~3.9% | 30Y ~5% ➜ Yield curve is positively sloped again But here’s the nuance: ➜ The curve was inverted for an extended period (2022–2024) ➜ Historically, recessions often follow 1–6 months after un-inversion ➜ We are now inside that window ➜ Credit spreads remain tight → complacency in risk pricing Translation: Bonds are not confirming the equity narrative. THE MESSAGE FROM CREDIT MARKETS ➜ Growth expectations exist ➜ But compensation for risk is historically low ➜ The system is not pricing stress properly That gap is where volatility usually forms. BASE CASE OUTLOOK ➜ Inflation remains sticky in H1, moderates in H2 if energy stabilizes ➜ Rates stay “higher for longer” ➜ Volatility increases around macro data shocks ➜ Returns become more sector-specific, less index-driven WHERE PERFORMANCE IS STILL WORKING The names that work in this environment: ➜ AI infrastructure ($PLTR, $NVDA, $CRDO, $MRVL) ➜ Data center power ($GEV, $ETN, $VST, $CEG) ➜ Photonics & optical networking ($COHR, $FN, $AAOI) ➜ Energy itself ($CCJ, $OKLO, $SMR) This isn’t a “buy everything” rally. It’s a precision rally in a minefield. Know what you own and why. FINAL THOUGHT Equities are pricing stability. Bonds are pricing uncertainty. When those diverge this far — one side eventually adjusts. Not financial advice. DYOR.
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 🤖 EDGE AI $QUIK · $CEVA · $SYNA · $QCOM · $INDI · $VLN · $SMTC → AI leaves the data center. Devices. Cars. Factories. Multi-year secular trend just getting started. 🏗️ AI INFRA $SGH · $SKYT · $AVGO · $NVDA · $ARM · $CRDO · $MRVL → The “Nvidia-only” era is over. The full stack is getting priced in. ⚡ POWER $POWI · $TXN · $MPWR · $VICR · $GANX · $AEHR → AI data centers are power monsters. Unsexy. Essential. Increasingly scarce. 🔬 FUTURE-TECH $LWLG · $AXTI · $POET · $TSEM · $GFS · $IPGP → Silicon photonics foundry capacity = national strategic asset. 🛠️ EQUIPMENT $AMAT · $LRCX · $KLAC · $ASML · $ONTO · $ACMR → Without these, nothing above gets built. Map the full stack. That’s where the alpha is. Not financial advice. DYOR
10 long term bets $CRDO — Credo Technology | High-speed AEC interconnects powering AI data centers. Sticky design wins with hyperscalers. Underowned, undervalued. $MRVL — Marvell Technology | Custom AI silicon + data center networking. ASIC tailwinds from Amazon, Google, Microsoft. Long runway ahead. $MXL — MaxLinear | High-speed optical & broadband chips. optical networking demand is accelerating fast. $AAOI — Applied Optoelectronics | 400G/800G transceivers for hyperscalers. Pure-play on the AI optical boom. Small cap, big leverage. $AXTI — AXT Inc. | Makes the InP & GaAs substrates photonics runs on. The picks-and-shovels play nobody’s talking about. $INOD — Innodata | AI data services powering enterprise AI pipelines. Profitable, growing, and still flying under the radar. $RKLB — Rocket Lab | Full space stack — launch + spacecraft. The most execution-focused name in the entire space sector. $IREN — IREN Ltd. | Pivoting hard into AI cloud compute. Low-cost power + GPU infrastructure = serious optionality. $IONQ — IonQ | Trapped-ion quantum computing. Early innings, but government contracts + commercial deals are stacking up. $OKLO — Oklo | Micro-fission nuclear reactors purpose-built for the AI power crisis. Long-duration, asymmetric upside. Not financial advice.
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
5 stocks that are buying opportunities on pullback: $CRDO $MRVL $GFS $ANET $BE $CRDO — Credo Technology The AEC king just hit 201% YoY revenue growth in Q3, and the stock has pulled back ~15% on concerns about decelerating growth guidance (~50% YoY in FY27). The pullback looks like a gift — CRDO boasts nearly 70% gross margins, a debt-free balance sheet, and new products targeting a $10B+ TAM.  Three new growth pillars — Zero-Flap optics, active LED cables, and OmniConnect gearboxes — extend the story well beyond AECs. Analysts carry a Strong Buy consensus.  Any reset toward key support is a tier-in zone. $MRVL — Marvell Technology MRVL raised its fiscal 2027 revenue forecast to $11B, with the data center business expected to grow 40% YoY and interconnect revenues projected to grow more than 50% — up from 30% projected earlier.  The Google custom AI chip partnership is a massive catalyst that validates MRVL’s custom silicon roadmap. MRVL has risen over 70% in the past month , so it’s extended near-term, but any pullback is buying opportunity. 32 analysts carry a Strong Buy consensus.  This is not a trade — it’s a multi-year AI infrastructure compounder. $ANET — Arista Networks The backbone of AI networking. 2025 revenue was $9.01B, up 28.6% YoY, with earnings up 23.1%.  Analysts have revised the 2026 revenue outlook to approximately $10.5B, representing ~20% growth, with guidance for sustained mid-teens long-term sales growth.  Morgan Stanley just raised their price target to $180, and JPMorgan raised theirs to $200.  Q1 2026 earnings drop May 5 — any pre-earnings dip or post-earnings overreaction is your entry. ANET has $4.7B in deferred revenue (+87% YoY) — visibility is exceptional. The essential plumbing of every AI data center. $GFS — GlobalFoundries The domestic semiconductor foundry play nobody’s talking about. GFS ripped ~34% from late March to late April on Apple chip production wins at its Malta, New York fab and its growing role in edge AI and chiplets.  Trades at a P/E of 26x vs. the semiconductor industry average of ~42x , making it one of the cheapest names in the sector. The CHIPS Act tailwind, Apple customer validation, and a patent war against Tower Semiconductor that could protect its IP moat make this a compelling pullback buy. Any flush back toward $50–$52 is a loading zone for the next leg. $BE — Bloom Energy The AI power crisis trade is real, and $BE is monetizing it directly. Q1 2026 revenue hit $751M, up 130% YoY, with product revenue up 208% and gross margin expanding to 30%.  Oracle committed to up to 2.8 gigawatts of Bloom fuel cell systems for U.S. AI data center growth, with 1.2 gigawatts already contracted and deployment underway through 2027.  Full year 2026 revenue growth guidance was raised to ~80% YoY, up from a prior ~60% guide.  On-site power generation solves the grid delay problem that’s becoming the #1 bottleneck for AI data center buildout. Not financial advice.
Here’s my 15-stock AI infrastructure watchlist AI INFRASTRUCTURE CORE $MRVL → Custom AI silicon for hyperscalers like Google and AWS → Data center now the core growth engine → Strong XPU positioning in AI compute $CRDO → Critical connectivity layer inside AI clusters → Expanding into silicon photonics and optical transceivers → Direct beneficiary of hyperscaler GPU scaling $ALAB → PCIe/CXL connectivity solving AI server bottlenecks → Key enabler for GPU communication efficiency → Strong execution and AI infrastructure leverage $AAOI → Riding the 800G and 1.6T optical upgrade cycle → Vertical integration gives margin and supply edge → Hyperscaler demand remains strong $MXL → Emerging optical DSP player in AI infrastructure → Pivoted from broadband into data center growth → Early in hyperscaler qualification cycle MEGA-CAP AI COMPOUNDERS $MSFT → Enterprise AI leader via Copilot and Azure → Massive distribution advantage through software ecosystem → AI monetization still in early innings $GOOG → Search funds AI innovation and cloud expansion → Strong custom silicon and AI infrastructure strategy → Multiple growth engines beyond search $AMZN → AWS remains the AI cloud backbone → Aggressive AI infrastructure spending → Retail and ads fuel long-term AI investment SEMICONDUCTOR CYCLE PLAYS $AMD → Leading Nvidia alternative in AI compute → Enterprise traction growing with MI300 → Multiple cycle tailwinds in AI and PCs $MU → HBM memory is essential for AI GPUs → Direct play on AI compute demand → Strong AI-driven memory cycle setup $INTC → Foundry turnaround with strategic US importance → Big upside if execution improves → High risk, high reward setup $ARM → Royalty model across global chip ecosystem → Expanding into AI edge and data center → Benefits from industry-wide chip growth CONNECTIVITY, POWER & INFRA $SIMO → Storage controllers powering AI data growth → NAND cycle recovery adds tailwind → Undervalued storage infrastructure play $NOK → Optical and fiber backbone for data traffic growth → Beneficiary of telecom and hyperscaler upgrades → Defensive infrastructure exposure $BE → On-site energy for power-hungry AI data centers → Solves grid bottleneck challenges → Direct energy infrastructure AI play AI is not one stock. It’s chips, memory, optics, networking, storage, and power. Follow the infrastructure. That’s where the real compounding happens. Not financial advice.
Watching $CRDO & $MRVL — Waiting for the Pullback Two of the strongest AI infrastructure names on my radar right now. Not chasing. Building a position on weakness. $CRDO High-speed connectivity for AI data centers Revenue up 226% TTM — not a typo FY27 revenue growth guided at 75%+ YoY Major hyperscaler customers: Amazon, Microsoft, xAI Just acquired DustPhotonics → expanding into silicon photonics SerDes chiplets + optical DSPs = critical AI interconnect layer Operating margin at 36.8% — rare for a high-growth semi Every AI cluster needs to move data fast. $CRDO is the plumbing. $MRVL Custom ASICs + optical interconnects for hyperscalers Data center revenue compounding at scale Co-packaged optics + silicon photonics exposure Serving Google, Amazon, Microsoft on custom silicon programs Earnings May 21 — next major catalyst Just hit all-time highs → now cooling off Custom silicon for AI is the next $100B TAM. $MRVL is already inside the hyperscaler ecosystem. Waiting for a controlled pullback Will add in tranches — not all at once Both are long-term holds, not trades Photonics + custom silicon = the unsexy backbone of the AI boom. These two own it. Watching closely. Not financial advice.
Semis and photonics are seeing a healthy pullback — that’s often just a technical reset after strong momentum. If you missed the last run and had the patience not to chase, this is the time to build your watchlist and map out the levels that make sense for your entries. Good setups come to those who wait for price, not emotions. $CRDO $MRVL $AMD $ARM $AAOI $COHR $GFS $RMBS
$AMD $ARM $MRVL $CRDO $AMKR $RMBS $TSEM all seeing pullbacks after strong recent runs. Nothing unusual — healthy consolidation after momentum can create the next setup. Keep them on the watchlist. Strong names often give better entries when sentiment cools and price resets.
THE FULL PHOTONICS BOTTLENECK It’s clear that the next phase of AI scaling is no longer compute, but rather optical connectivity. 1. $AAOI builds high-speed transceivers with vertically integrated lnP laser manufacturing and early 1.6T hyperscale demand. 2. $AEHR providing burn-in and reliability testing for AI and optical hardware, with Sonoma gaining traction at hyperscalers. 3. $AVGO delivers core networking and optical connectivity through custom silicone used across hyperscale AI infrastructure. 4. $COHR scaling lnP lasers, and optical engines to support next-gen AI networking demand. 5. $MRVL builds DSP and interconnect silicone that powers, high speed optical infrastructure. 6. $LITE supplies lasers and optical components backed by NVDA, and a growing optical switching backlog. 7. $CRDO enables faster data movement through cables, retimers, and interconnect silicone, expanding into silicone photonics. 8. $CSCO provides switching, routing, and optical networking gear that ties AI clusters together at scale.
10 Stocks Built for LT Returns - $MU — The HBM supercycle play. Entire 2026 HBM output already sold out. Forecasts 40% CAGR in HBM market to ~$100B, surpassing all of 2024 DRAM. Q1: 57% YoY sales growth, 56.8% gross margins, EPS up 167%. This is the memory backbone of AI. $MRVL — AI data center powerhouse. 74% of revenue now from data centers. 18+ XPU socket wins, $75B design pipeline, targeting 20% of a $94B TAM by 2028. Acquiring Celestial AI for photonic fabric tech. Custom silicon + optics = long runway. $CRDO — The picks & shovels play on AI networking. Stock up 1,700% since 2022 IPO. Active Electrical Cables dominating hyperscaler deployments. $10B+ TAM across 5 product pillars. AEC adoption still early innings — long growth runway ahead. $ARM — The architecture that runs everything. Every smartphone, AI edge device, and custom chip from Apple to NVIDIA to AWS runs on ARM IP. Royalty + licensing model = recurring revenue with zero fab risk. As custom silicon proliferates, ARM gets paid more per chip. The toll road of semiconductors. $ALAB — Elite AI connectivity pure play. 75.7% gross margins, 25.7% profit margins, $1.1B+ cash, zero debt. PCIe + CXL connectivity for hyperscalers. 17 of 19 analysts rate Buy with median PT of $205. Premium valuation but premium business. $RMBS — The memory IP kingpin. ~80% gross margins, ~40% EBIT margins. Just launched SOCAMM2 LPDDR5X server memory chipset targeting AI data centers. Capital-light, IP-driven model = durable cash flows. Underrated in the AI memory stack conversation. $AAOI — AI optical networking rocket ship. Up 1,200%+ in one year. Supplying 800G and 1.6T fiber-optic modules to hyperscalers. 97% revenue concentration with top customers — high risk but massive growth. Earnings May 7. Valuation stretched at 180x+ forward. $APH — Amphenol. The quiet compounder. Makes connectors, sensors & cables used in AI data centers, EVs, defense, aerospace. Boring product, extraordinary execution. Long-term hold for diversified tech infrastructure exposure. $MXL — Just surged 80% in a day on Q1 earnings beat. Optical data center business tied directly to AI infrastructure. Needham upgraded to Buy, peers it with MRVL/CRDO/ALAB on valuation multiples. Increased 2026 outlook. The laggard that caught up fast. $GFS — GlobalFoundries. Specialty foundry with focus on mature nodes — RF chips, automotive, aerospace, IoT. Less exposure to bleeding-edge AI race but massive structural demand from defense + auto electrification. Stable, strategic, long-duration play. all positioned at the intersection of AI infrastructure, high-speed connectivity, and semiconductor supply chain. This is where capital is flowing for the next decade. Time in market > timing the market. Not financial advice.
$CRDO — Credo Technology is one of the cleanest AI infrastructure plays in the market right now. They make the high-speed SerDes chiplets and active electrical cables (AECs) that connect AI clusters inside hyperscale data centers — the connective tissue of the AI buildout. Total revenue grew 126% year-over-year and net income surged 284%, while EPS jumped 257%. They also just moved deeper into optical networking, acquiring DustPhotonics to accelerate their expansion into silicon photonics and next-gen optical connectivity. Revenue growth is running at 201.5% quarter-over-quarter, with a 36.8% operating margin and 27.5% return on equity — rare profitability in a sector full of money-losers. 11 analysts rate it Buy with a consensus price target of $184.55. The stock has pulled back from year-end 2025 highs — if you believe copper AECs remain dominant in AI cluster connectivity, this dip is the opportunity. Not financial advice.
$CRDO one of the best setup in market. Gave you around $145 https://t.co/3Erudh0IDm
5 AI Stocks. 1 Clear Winner for the Long Term. $CRDO | $MRVL | $MU | $GFS | $GOOG Here’s how they stack up 👇 $CRDO — Credo Technology The most asymmetric bet in AI infrastructure. → 201% YoY revenue growth in Q3 → ~70% gross margins, zero debt → AECs powering 5 of the world’s biggest hyperscalers → New acquisitions expanding into optical interconnects → TAM expanding to $10B+ as AI scale-out accelerates Still early innings. Institutions are just starting to notice. $MRVL — Marvell Technology The custom silicon kingmaker. → Data center = 74% of revenue, up 46% YoY → Custom ASIC revenue DOUBLED in FY2026 → FY2027 revenue guide raised to $11B → 1.6T interconnect ramp expected to be rapid → 51 analyst Buy ratings. Avg PT: ~$125 $MU — Micron Technology The HBM pure play. → Q1 FY2026: Revenue +57% YoY, EPS +167% YoY → HBM supply fully sold out through 2026 → Negotiating 2027 contracts NOW → Massive $200B global capacity buildout underway → Forward P/E: ~7x — dirt cheap for an AI compounder Cyclical risk is real. But this cycle has structural legs. $GFS — GlobalFoundries The specialty foundry play. → Focused on differentiated chips: auto, aerospace, IoT, 5G → EPS expected ~$1.89 in 2026 → Not riding the leading-edge wave — but defensive moat → Less volatility, less upside Solid for diversification. Not the alpha generator here. $GOOG — Alphabet The most underrated stock in the market right now. Most people see it as a search + cloud play. They’re missing the real story. 👇 The core business is firing: → Q4 2025 Revenue: $113.8B (+18% YoY) → Google Cloud: +48% YoY — $70B+ annualized run rate → 70%+ of Cloud customers now using AI tools → YouTube crossed $60B in annual revenue → $175–185B CapEx planned for 2026 → Gemini embedded across Search, Cloud & Workspace That’s what everyone knows. Here’s what they DON’T. The Hidden $234B Bombshell Alphabet is quietly sitting on TWO of the biggest IPOs of 2026: SpaceX: → Google invested $900M in SpaceX in 2015 → Alaska filing just confirmed: 6.11% stake as of end-2025 → SpaceX targeting $2T valuation IPO as early as June 2026 → Google’s stake = $100–122B at IPO price → A 100x+ return sitting silently on the balance sheet Anthropic: → Google holds an estimated ~14% stake in Anthropic → Anthropic just hit $30B annualized revenue — tripled from $9B last year → Latest round at $380B valuation (with $800B offers on the table) → Google’s Anthropic stake = ~$50B+ and climbing → Both IPOs expected Q4 2026 Combined hidden value: ~$234B The market hasn’t priced this in yet. 🤯 The rerating catalyst nobody’s talking about: Right now these stakes sit as opaque private holdings. Hard to model. Easy to ignore. The moment SpaceX lists in June → positions become liquid + mark-to-market. Institutions will have to reprice $GOOG overnight. You don’t need Alphabet to sell a single share. The IPO itself IS the catalyst. Not financial advice. DYOR.
Photonics names showing clear relative strength today — this rotation is getting noticeable. $CRDO $MRVL $AEHR $SIVEF $GFS $POET $LWLG
$CRDO this one looks strong
$CRDO https://t.co/hq6pauVUbG
$CRDO — Credo Semiconductor: Just Bought Its Way Into Silicon Photonics With a $750M Power Move Already on the list as a small cap — but this news changes the thesis entirely. Credo agreed to acquire DustPhotonics for $750M, bringing industry-leading Silicon Photonics PIC technology in-house and expanding Credo’s addressable market across 800G, 1.6T, and 3.2T optical transceivers — positioning it with a vertically integrated connectivity stack spanning SerDes, DSP, Silicon Photonics, and system integration. Management targets combined optical revenue above $500M by fiscal 2027. Credo went from a DSP play to a full photonics stack company in one deal. Re-rate incoming.
My Photonics watchlist:- Materials/Substrates: $AXTI $GLW $IQEPF Foundry/Manufacturing: $TSEM $FN $GFS $MKSI Components/Lasers: $COHR $LITE $AAOI $SIVE Silicon/DSP: $AVGO $MRVL $MTSI $CRDO Systems/Networks: $CIEN $NOK $CLS Infrastructure: $NVDA Moonshots: $POET $LWLG
Excellent episode. Don't feel bad if you didn't know about Dust Photonics pre-deal. They said $TSEM was probably the fab for Dust, so if $CRDO blows out the product, it is incremental demand for TSEM. Also, an interesting liquid cooling angle. As it comes to CPU, my @openclaw built and deployed a local embeddings model and vector search on our @digitalocean VPS last night. We were previously using an OpenAI API embedding model, and I wanted to bring it in-house. All of this requires incremental CPU for my cloud, probably less compute-efficient than doing it through OpenAI. https://t.co/MJIrYBGKuW
Growth stocks I'm watching right now: $IREN | $48.18 - AI data center infrastructure, 4.5 GW pipeline, largest single-site build in the US $CRDO | $164.09 - AI connectivity, 1.6T optical DSPs in 3nm, just acquired DustPhotonics for $750M $AEHR | $84.49 - AI chip testing, TAM expanding 3-5x beyond SiC into GaN and silicon photonics $HIMS | $27.12 - Telehealth + owned pharmacy network, licensed care model that's hard to replicate $ZETA | $17.87 - AI-powered marketing platform, 56% off its all-time high $OUST | $24.41 - Digital LiDAR on a silicon chip, SAFE LiDAR Act is a policy tailwind $OSS | $9.95 - Ruggedized edge AI compute, guiding 20-25% revenue growth, new energy node contracts $IBRX | $7.31 - ANKTIVA immunotherapy, $44M Q1 revenue, EU conditional approval in Feb
$CRDO RESEARCH NOTE - Credo Buys DustPhotonics: Internalizing the Optical Engine for the AI Interconnect Stack https://t.co/YyBTKg3GRI Bottom Line: Credo's acquisition of DustPhotonics remains strategically compelling, but the investable version of the thesis is narrower than a generic 'Credo is now in optics' narrative. What is evidenced today is tighter control of the silicon photonics PIC layer, better DSP-PIC co-design, stronger 800G and 1.6T pluggable optics positioning, and broader medium flexibility across AECs, optical DSPs, transceivers, and future lower-power architectures. What is not publicly disclosed is Dust's stand-alone revenue, margin, backlog, or the precise current optical mix, which means the greater-than-$500M FY27 optical target and FY27 non-GAAP EPS accretion should be treated as management framing for the combined optical portfolio rather than proof of immediate deal economics. The right underwriting question is therefore not whether the optical strategy makes sense, but how much near-term monetization is supported by current evidence versus how much value still sits in longer-dated NPO and CPO optionality.
Looks like I waited a little to long to start this research. Was really looking forward to starting a position in $CRDO but it’s been a rocket ship since market open Monday 😅 Should have done this research a week ago lol.
$CRDO — One of the strongest AI connectivity plays right now. We can see bigger move in coming weeks. IMO
Overnight movers are telling a clear story of where momentum is flowing right now. $SNDK continues its explosive run, adding another 3% and pushing its YTD gain beyond 300% — a reminder that leadership names can stay extended longer than expected. $CRDO surges 10% on its DustPhotonics acquisition, doubling down on the red-hot silicon photonics theme as demand for high-speed data infrastructure accelerates. Airlines caught a bid with $AAL up 4% on merger speculation, showing how quickly sentiment can shift in beaten-down sectors. Meanwhile, legacy PC names $DELL and $HPQ slipped after $NVDA shut down acquisition rumors, reinforcing that AI capital is staying focused on infrastructure, not traditional hardware.
$CRDO making a strong move into the future of AI infrastructure Credo Technology surged +12% after announcing its expansion into silicon photonics and optical connectivity — a major step toward owning a bigger piece of the ~$6B optics market. The key catalyst: acquisition of DustPhotonics, bringing advanced SiPho PIC tech (400G / 800G / 1.6T) into Credo’s stack. This positions $CRDO as a vertically integrated player across both electrical + optical interconnects — critical for next-gen AI data centers. Management expects optical revenue to exceed $500M by FY2027, signaling a massive growth ramp as hyperscaler demand accelerates. Jefferies just initiated with a BUY and $175 PT (~30% upside), highlighting that the AI-driven data center buildout and AEC dominance are still underappreciated. $CRDO is evolving from a connectivity supplier → full-stack AI infrastructure enabler — and the market is starting to price it in.
$CRDO — One of the strongest AI connectivity plays right now. Revenue +200% YoY, margins near 70%, and guidance still pushing higher. With ZF Optics, ALC, and OmniConnect, the next leg of growth is already in motion. Valuation isn’t cheap, but forward growth justifies it. High risk (beta, concentration) — but high reward.
@babyfolio Excellent article. I have als been researching $crdo over the weekend
Some key catalysts I'm looking forward to in 2026-2027. Q2 2026 - $POET: high-volume light source scaling. POET unveiled its next-generation Starlight and Blazar hybrid external light sources at the March 2026 OFC conference, heavily pushing forward their high-volume scaling for the AI connectivity market. - $IREN: Sweetwater 1 1.4GW facility energization. IREN is finalizing site works for the Sweetwater 1 bulk substation, with energization on track for April 2026 (Q2). - $KRKNF: Covelya Group $615M acquisition close The strategic acquisition of the UK-based Covelya Group rapidly expands their vertically integrated product suite to include navigation, positioning, and subsea communications. - $AEHR: ultra-high power FOX-XP shipments In March 2026 (Aehr's fiscal Q3), the company announced a follow-on order and a new major silicon photonics customer win for its FOX-XP systems, with shipments scheduled for its fiscal Q4 ending in May 2026. Q3 2026 - $CIFR: AWS AI hosting lease commencement Cipher secured a 15-year, 300MW lease with AWS for an AI/HPC campus, with initial rent commencement confirmed for August 2026 (Q3). - $OUST: Start SAFE LiDAR ACT Ouster should see the first positive signs of the SAFE LiDAR ACT in the Q3 results. Q4 2026 - $RKLB: Neutron maiden flight Rocket Lab is developing the Neutron rocket to provide a reusable, medium-lift alternative to SpaceX's Falcon 9 for constellation deployments. A successful maiden flight proves the vehicle's viability, opening up a lucrative pipeline of commercial and government launch contracts. - $ASTS: commercial service activation (block 2) The activation of its larger Block 2 BlueBird constellation enables the initiation of consistent commercial service for telecom partners globally. - $NBIS: 800MW to 1GW capacity operational In early 2026, Nebius significantly raised its contracted power guidance, officially targeting 800MW to 1GW of available connected capacity by year-end 2026. - $AAOI: 5,000 ELSFP units per month production Reaching a production run rate of 5,000 External Laser Small Form Factor Pluggable (ELSFP) units monthly proves their automated U.S. manufacturing can scale to meet co-packaged optics demand. The goal is 400,000 units by the end of 2027. - $FLY: Blue Ghost Mission 2 lunar launch Blue Ghost Mission 2 will deliver payloads to the far side of the moon while demonstrating the first on-orbit AI data processing via its Elytra spacecraft. - $RDW: SabreSat DARPA Otter VLEO demonstration The SabreSat Otter demonstration for DARPA will validate highly advanced air-breathing electric propulsion, allowing satellites to maneuver indefinitely in Very Low Earth Orbit (VLEO) by harvesting atmospheric air. Q1 2027 - $CRDO: Cardinal 1.6T DSP production ramp Credo launched its Cardinal 1.6T DSP family in March 2026. Industry analysts predict the major 1.6T transceiver upgrade cycle and corresponding production ramp will heavily take hold in 2027. - $PL: Pelican-4 edge AI revenue ramp Planet successfully demonstrated in-orbit AI object detection on its Pelican-4 satellite, supporting the planned ramp of its Planetary Intelligence edge AI revenue streams into 2027. Q2 2027 $VRT: Ironton liquid cooling expansion operational The expansion of its Ironton facility will massively boost production capacity for liquid cooling systems, a necessity for the booming deployment of high-density AI servers. Q3 2027 $SATL: NextGen Merlin constellation operational Satellogic unveiled its new Merlin constellation, explicitly targeting the first launch in October 2026 with full operational capacity scheduled for the first half of 2027. $BSKY: AROS country-scale mapping constellation launch The launch of the AROS constellation supplements their targeted site monitoring with country-scale broad area mapping, securing their position against retiring legacy competitor satellites. $LWLG: material volume production and licensing revenues During their recent early 2026 updates, LWLG management explicitly stated they are building infrastructure for long-term commercialization, with meaningful volume production and licensing revenues anticipated to begin in 2027.
Researching 4 new stocks this weekend. $OUST $20.80 LiDAR + computer vision. Acquired StereoLabs in February - now selling a full Physical AI sensing platform, not just sensors. Revenue up 52% in 2025, shipping 25,000+ units. 1,200 contracted sites. Analysts have it at $39 average target. $MITK $13.85 Identity verification and fraud prevention. Q1 revenue up 19%, fraud & identity segment growing 30% YoY. Just integrated with Ping Identity. Named a market leader by Datos Insights. Trading at a fraction of where fintech peers trade. $CRDO $120.20 AI data center connectivity. Q3 revenue hit $407M - up 201% year over year. Five hyperscaler customers, three contributing 10%+ of revenue each. Just launched 800G optical transceivers for AI networks. $1.2B cash, almost no debt. $LWLG $10.59 Electro-optic polymer modulators for silicon photonics. Integrated with GlobalFoundries and Tower Semiconductor PDKs. Fourth Fortune 500 customer just hit Stage 3 design wins. Targeting 200-400Gb/s solutions for hyperscale data centers and AI factories. If you’re invested in any of these companies let me know!
Nvidia invested $6B into photonics in March alone. The AI bottleneck isn't chips. It's moving data between them. 10 photonics stocks I'm watching: $AAOI - Applied Optoelectronics $LITE - Lumentum $COHR - Coherent $FN - Fabrinet $MTSI - MACOM Technology $CRDO - Credo Technology $LASR - nLight $AXTI - AXT Inc $MRVL - Marvell Technology $CIEN - Ciena NFA DYOR
As I'm 20% cash, I'm going to do some extra research this weekend. Companies I’m going to look into this weekend: $ALAB $CRDO $VRT $GEV $NEE $BWXT $VIAV $AXTI $SPIR $DRAM $AMKR $VPG Here is my method 👇
War-driven energy inflation is inevitable, but companies solving the AI bottleneck are uniquely positioned to protect their margins. Their critical role gives them the pricing power to simply pass costs onto customers. As a result, these bottleneck companies could emerge as prime investment opportunities during market corrections. - Memory and HBM: SK Hynix, Samsung Electronics, $MU - Packaging and OSAT: ASE Technology, $AMKR, JCET Group - Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn - Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET - Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE - Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $CIFR
@StockSavvyShay Great move for $CRDO
Big companies are announcing huge layoffs. $AMZN to cut 30,000 jobs, $META potentially 15,000 jobs. $ORCL, $XYZ, $CRM, $ASML,… all announced cuts as well. It’s not that those companies are doing badly financially, they report record earnings with growing margins. They all expect a lot from AI. What we saw from perplexity yesterday is a first glimpse of what AI will be able to do in the near future. With jobs being cut, more and more money will flow towards R&D and more importantly the CapEx. Everyone is investing in AI and those numbers will only increase. We are still in the early stages of AI and the supply chain is still evolving. There are some major bottlenecks forming that are slowing down the progress of AI. The most profitable companies are spending billions to make sure they can control these bottlenecks. This creates possibilities for investors. The major bottlenecks at the moment: - Memory and HBM: SK Hynix, Samsung Electronics, $MU - Packaging and OSAT: ASE Technology, $AMKR, JCET Group - Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn - Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET - Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE - Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $NBIS, $CIFR No financial advice
I have written a full article on the AI chip supply chain. The supply chain is structured into 4 different phases with 13 layers: 1. Raw Materials: $SHECY, $SUOPY, GlobalWafers, $WAF.DE, $SHWDF, $AXTI, $IQE 2. Manufacturing Equipment: $ASML, $ASM.AS, $AMAT, $LRCX, $KLAC 3. EDA & Core Intellectual Property: $SNPS, $CDNS, $ARM, $RMBS 4. Chip Design: $NVDA, $AMD, $INTC, $QCOM 5. Foundries: $TSM, Samsung Semiconductor, $SMIC 6. Memory and HBM: SK Hynix, Samsung Electronics, $MU 7. Packaging and OSAT: ASE Technology, $AMKR, JCET Group 8. Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn 9. Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET 10. Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE 11. Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $CIFR 12. Hyperscalers: $AMZN, $GOOGL, $MSFT, $META 13. AI Storage, platforms and Data: VAST data, Weka, NetAPP, $PLTR, Blue Yonder, $KXSCF The article covers it all.
$AVGO leading the push for SUE as an open infrastructure standard, with support from partners such as $AMD, $ANET, $CSCO, and $CRDO — while UALink-related companies like $ALAB may face increased competitive pressure. Note from GF Securities's observation in OCP.