$GEV

@investmentguru_May 24, 2026 · 10:16 AM

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.

@jasonl_capitalMay 22, 2026 · 12:42 PM

6. $GEV - GE Vernova Gas turbine backlog hit 100 GW in Q1 and is expected to reach 110 GW by year-end. Q1 orders up 71% to $18.3B. Electrification segment booked $2.4B in data center equipment orders in one quarter - more than all of 2025 combined. Total backlog: $163B. https://t.co/EUIAulW04f

@mrmikeinvestingMay 18, 2026 · 10:32 PM

The $NVDA CEO, Jensen Huang just revealed the full 5 layer stack the AI super cycle is built upon… These 5 layers include: 1. Energy ~ $CEG, $VST, $OKLO, $EOSE, $GEV 2. Chips & Computing ~ $NVDA, $AMD, $TSM, $MU, $ARM 3. Cloud & Data Centers ~ $NBIS, $IREN, $CRWV, $APLD, $CIFR 4. AI Models ~ $MSFT, $GOOGL, $META, $AMZN, $ORCL 5. Applications ~ $PLTR, $TSLA, $NOW, $SNOW, $CRM Without these companies there is no AI; which is exactly why these names will continue to see massive long term growth. Save this for later…

@jasonl_capitalMay 18, 2026 · 12:30 PM

5. $GEV - GE Vernova Q1 revenue $9.3B, up 16%. Orders surged 71% to $18.3B with a 2x book-to-bill ratio. Backlog now sits at $163B and is expected to reach $200B by 2027. Signed 21 GW of gas turbine agreements in Q1 alone, growing total GW under contract from 83 to 100. When data centers need power fast, gas turbines are the bridge - and GE Vernova is the dominant supplier.

@investmentguru_May 18, 2026 · 11:39 AM

Energy- 7 layers AI Energy Bridge: Short-Term Stack (Before nuclear comes online ~2030+) Layer 1 — Solar Generation → $FSLR (First Solar) — domestic manufacturing moat → $ARRY (Array Technologies) — utility-scale trackers → $CSIQ / $JKS — cost-competitive module suppliers Other- $ENPH $SEDG $TE → ETF play: $TAN (Invesco Solar ETF) Layer 2 — Battery Storage → $EOSE (Eos Energy) — long-duration grid storage → $FLNC (Fluence Energy) — utility-scale BESS deployments → $QS (QuantumScape) — solid-state, longer horizon Layer 3 — Grid Modernization / Transmission → $ETN (Eaton) — switchgear, power mgmt → $PWR (Quanta Services) — grid buildout contractor → $GRID (First Trust Nasdaq Clean Edge Smart Grid ETF) — pure ETF play → $GEV (GE Vernova) — turbines + grid infra, breakout momentum Layer 4 — Natural Gas Bridge → The actual short-term baseload filler before nuclear → $LNG (Cheniere) — LNG export → $AR (Antero Resources) — nat gas supply → $TELL (Tellurian) — speculative LNG infra → Data centers are signing direct gas PPAs right now Layer 5 — Power Equipment / Transformers → Bottleneck hiding in plain sight — 2–3 year transformer lead times → $HUBB (Hubbell) — transformers, electrical components → $VRT (Vertiv) — data center power + cooling infra → $AMPS (Altus Power) — distributed solar + C&I Layer 6 — Demand Response / Energy Software → The “grid intelligence” layer — often overlooked → $GNRC (Generac) — backup power + grid services → $ITRI (Itron) — smart meters, grid edge data → $STEM (Stem Inc.) — AI-driven energy storage optimization Layer 7 — Nuclear → $CEG, $CCJ, $OKLO, $SMR, $NNE, $LTBR → 2028–2035 production window — position early, wait long Solar + Storage absorbs daytime peaks → Gas fills baseload gaps → Grid modernization moves electrons efficiently → Nuclear takes over as 24/7 firm power This is your “AI Power Capital Cycle” — each layer hands off to the next. Great multi-year content series. Not financial advice.

@blackpanthercapMay 16, 2026 · 1:53 PM

3/6. His Q1 2026 13F drops this week. Based on running his exact framework forward against what changed in Q1. Here’s my prediction on what he MOVED. New position positions: $COHR — Coherent corp In march 2026, nvidia committed $2B to lumentum AND $2B to coherent. Jensen Huang called them partners for “gigawatt-scale AI factories.” Aschenbrenner already owns Lumentum. He understands the optical networking bottleneck better than anyone. Coherent is the direct complement and nvidia just locked the supply chain. If he didn’t add $COHR in Q1, i’d be surprised. $GEV — GE Vernova Transformer lead times are 128-144 weeks right now. Two thirds of planned AI data center capacity is delayed, not because of chips, but because of ELECTRICAL EQUIPMENT. GE Vernova controls grid-to-chip infrastructure. $52B revenue target by 2028. record backlog. This is exactly the kind of overlooked chokepoint he hunts. $WULF — Terawulf, low-carbon, nuclear and hydro-powered mining sites. co-led a $1B round for fluidstack, which has a $6.7B 10-year hosting agreement with terawulf starting 2026. This is exactly the kind of pre-priced structural position he builds. $OKLO — Advanced fast reactors for hyperscalers. $2.54B in cash after Q1 fundraise. natural gas is the bridge fuel. nuclear is the destination. watch for a new entry here.

@investmentguru_May 12, 2026 · 10:50 AM

WHERE THE MONEY FLOWS NEXT — Full Renewable Energy Capital Rotation Map. Oil holding $100+ is the ultimate catalyst for the energy transition. SOLAR — The Lowest Cost Energy Ever Built → $FSLR — largest Western hemisphere PV manufacturer, $16.4B backlog, 53.7 GW contracted → $ENPH — microinverter leader, IQ Battery storage, 22,000+ certified installers globally → $SEDG — solar power optimization & residential storage → $JKS — JinkoSolar, 370 GW cumulative shipped, expanding into utility-scale storage → $CSIQ — Canadian Solar, global manufacturing + storage integration WIND — Backbone of Grid-Scale Renewables → $VWDRY — Vestas, global wind turbine leader → $GEV — GE Vernova, grid modernization + wind equipment supercycle → $ORSTED — offshore wind pure play → $SIEGY — Siemens Energy, onshore + offshore wind + grid ENERGY STORAGE — The Most Critical Layer → $EOSE — Eos Energy, zinc-based long duration storage, no lithium dependency → $FLNC — Fluence Energy, utility-scale BESS deployments globally → $STEM — AI-driven battery storage optimization platform → $BE — Bloom Energy, solid oxide fuel cells, AI data center power Utility-Scale Integrated: → $NEE — NextEra, largest battery storage developer in North America, 3.6 GW operational → $BEPC — Brookfield Renewable, 80 GWh battery storage in development pipeline → $AES — AES Corp, major BESS developer across Americas Lithium & Materials (Picks & Shovels): → $ALB — Albemarle, world’s largest lithium producer, vertically integrated → $SQM — Sociedad Química, Chilean lithium giant → $LAC — Lithium Americas, North American supply chain play → $LTHM — Livent, lithium for EV + grid storage Solid-State (Next Gen): → $QS — QuantumScape, solid-state lithium-metal batteries → $SLDP — Solid Power, solid-state EV battery development → Battery pack prices falling to $105/kWh in 2026 — making storage economically superior to fossil fuel peakers for the first time at scale  NUCLEAR — Always-On Baseload Bridge → $CEG — Constellation Energy, largest U.S. nuclear operator, AI data center offtake deals → $OKLO — next-gen microreactor, Sam Altman-backed → $SMR — NuScale Power, small modular reactor pioneer → $CCJ — Cameco, uranium supply chain kingpin → $UEC — Uranium Energy Corp, domestic U.S. uranium producer GRID & TRANSMISSION — The Bottleneck Nobody Talks About → Global energy transition investment hit a record $2.3T in 2025 — grid modernization is a core pillar  → $ETN — Eaton, electrical infrastructure & power management → $GEV — GE Vernova, grid equipment + turbines → $VRT — Vertiv, data center power & thermal management → $HUBB — Hubbell, electrical products & grid components → $PWR — Quanta Services, grid construction & EPC → $EMR — Emerson Electric, industrial automation + energy infrastructure → $ABB — ABB Ltd, power systems, grid-forming inverters, EV charging infrastructure HYDROGEN & FUEL CELLS — Longer Duration Optionality → $PLUG — Plug Power, green hydrogen + fuel cell systems → $BE — Bloom Energy, hydrogen-capable fuel cells → $FCEL — FuelCell Energy, stationary clean power generation THE CAPITAL CYCLE FRAMEWORK → Most existing grids were designed for centralized fossil fuel generation — not decentralized variable renewables. Integrating solar + wind creates new stability challenges that only storage + smart grid tech can solve  Stage 1 → Solar + Wind capacity floods in (already happening) Stage 2 → Storage becomes mandatory to stabilize the grid (NOW) Stage 3 → Transmission upgrades to carry renewable power (2026-2030) Stage 4 → Hydrogen + long-duration storage fill the remaining gaps (2028+) We are at the Stage 1→2 inflection point. High oil prices just pulled the timeline forward by 3 years. Not financial advice.

@investmentguru_May 11, 2026 · 2:39 AM

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 🔜

@investmentguru_May 10, 2026 · 1:00 PM

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.

@investmentguru_May 10, 2026 · 12:16 PM

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.

@investmentguru_May 10, 2026 · 11:26 AM

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

@investmentguru_May 9, 2026 · 8:14 PM

Watch: $CEG · $OKLO · $SMR · $TLN · $VST · $BWXT · $GEV

@investmentguru_May 9, 2026 · 8:14 PM

Watch: $ETN · $GEV · $HUBB · $PWR · $AMPX · $GRID

@investmentguru_May 9, 2026 · 5:17 PM

GRID MODERNIZATION: The Bottleneck of the AI Boom AI data centers are creating power demand faster than infrastructure can keep up. Utilities are scaling $200B+ in annual capex to expand transmission, distribution, and grid capacity. Why it matters: → More AI = more electricity → More electricity = grid expansion → Grid upgrades = massive capital cycle Watch: $ETN · $GEV · $HUBB · $PWR · $AMPX · $GRID The AI race isn’t just about compute. It’s about delivering power.

@investmentguru_May 9, 2026 · 5:16 PM

NUCLEAR / SMRs: The Long-Term Power Trade for AI AI needs one thing more than chips: Reliable power. Hyperscalers are now locking 10–20 year nuclear deals to secure dedicated energy for data centers. Why? → 24/7 baseload power → Zero carbon → Scalable for massive AI demand SMRs could be the next big infrastructure wave as AI power demand accelerates. Watch: $CEG · $OKLO · $SMR · $TLN · $VST · $BWXT · $GEV The AI race isn’t just compute. It’s power security.

@thevalueistMay 5, 2026 · 6:08 PM

$GEV

@investmentguru_May 2, 2026 · 5:40 PM

6 High-Conviction Sectors for the Next Market Cycle The AI infrastructure buildout is expanding well beyond semiconductors. Here are six sectors I believe deserve serious attention from investors looking ahead: AI Energy — Data centers are power-hungry and the grid isn’t ready. Companies bridging that gap stand to benefit enormously. Watching $CEG, $BE , $VRT, $GEV, $OKLO, and $NNE. Quantum Computing — Still early-stage and high-risk, but the commercial timeline is compressing faster than most expect. Key names: $IONQ, $RGTI, $QUBT, $INFQ , $XNDU . eVTOL — Urban air mobility has real regulatory momentum now. Certifications are coming. $JOBY, $ACHR, and $EVTL are the ones to track. Rare Earth & Critical Minerals — The overlooked bottleneck in every supply chain — AI hardware, EVs, and defense systems all depend on these materials. $MP, $USAR , $UAMY, $TMC , $NB Robotics — Physical AI is accelerating. The next compute deployment layer won’t just be in the cloud — it’ll walk, drive, and build. Watching $SERV , $TSLA, $ISRG, $RR, and $NVDA as the picks-and-shovels play. Space — Launch costs have collapsed. Satellite-based connectivity, Earth observation, and defense applications are scaling fast. $RKLB, $ASTS, $LUNR, $PL, and $RDW remain my core watchlist. Capital rotates toward constraint. These six sectors sit at the intersection of scarcity and exponential demand. Not financial advice.

@investmentguru_Apr 26, 2026 · 1:19 PM

The AI Power Crisis Is Becoming the Trade of the Decade The narrative has shifted. It’s no longer about chips — it’s about electricity. Morgan Stanley estimates a 126 GW surge in global data center demand by 2028, with a ~49 GW shortfall in the U.S. alone. In Virginia, interconnection queues already exceed 5 years. And a new trend is emerging: Nearly 30% of new data center capacity by 2026 will be built off-grid — up from almost zero a year ago. The constraint is no longer silicon. It’s watts. Here’s how the entire power stack is shaping up: POWER GENERATION (Where electrons come from) $CEG — The nuclear anchor. Long-duration contracts with hyperscalers like Microsoft and Meta. Real, scaled nuclear exposure. $VST — High-growth merchant power mix (gas + nuclear + renewables). Strong earnings leverage to demand spikes. $TLN — Direct hyperscaler power supply agreements (AWS-linked data center buildouts). $NEE — Renewable giant with long-term contracted megadeals (including multi-GW deals with Big Tech). POWER INFRASTRUCTURE (Grid to chip) $GEV — The backbone play. Gas turbines today, SMR optionality tomorrow. Massive backlog growth driven by AI demand. $ETN — Power architecture leader. 800V DC systems + liquid cooling integration after major acquisitions. $NVT — Smaller, faster-growing power distribution player riding high-density AI load demand. THERMAL MANAGEMENT (Cooling the AI explosion) $VRT — Critical bottleneck winner. AI racks now pushing 10x+ power density vs 2023. Record backlog driven by hyperscalers. $SBGSY — Global industrial rival in the same cooling + infrastructure race. NEXT-GEN NUCLEAR (Long-duration optionality) $GEV — SMR development optionality alongside current cash flows $BWXT — Nuclear components + defense + SMR supply chain exposure $OKLO — High-risk, long-duration microreactor bet $NNE — Pure speculative nuclear startup exposure OFF-GRID / BEHIND-THE-METER (Bypassing the grid) $BE — Fuel cells powering on-site AI clusters $FCEL — Early-stage distributed energy systems • Microgrid and on-site generation adoption accelerating as grid queues stretch beyond 5–7 years THE BIG PICTURE Power is now the bottleneck of AI expansion. Not GPUs. Not software. Not demand. But electrons delivered at scale, on time, and on-site. Estimates suggest power constraints alone could unlock hundreds of billions in value redistribution across the energy and infrastructure stack. The AI trade is no longer just compute. It’s: 👉 Power generation 👉 Grid infrastructure 👉 Cooling systems 👉 On-site energy independence Final thought: Everyone sees the AI chip cycle. Few are pricing in the energy system rebuild underneath it. That’s where the next 3–5 year compounding likely sits. Not financial advice.

@thevalueistApr 23, 2026 · 2:33 PM

$GEV KEY READ-THROUGHS FROM GE VERNOVA Q1 2026 EARNINGS CALL GE Vernova’s Q1 2026 earnings call provided one of the clearest market signals to date that global power infrastructure is entering a multi-year scarcity cycle across gas generation, grid equipment, transformers, substations, HVDC, and data-center power systems. The call’s most important read-through was not simply that GE Vernova had a strong quarter; it was that order intensity, pricing power, customer prepayments, and capacity constraints are now visible across multiple layers of the electricity value chain. Orders increased 71% year-over-year to $18.3B, backlog reached $163B, free cash flow reached $4.8B in Q1 alone, and management raised 2026 revenue, EBITDA margin, and free cash flow guidance. The strongest broader-market implications are positive for gas turbine OEMs, grid equipment suppliers, cable and HVDC vendors, owners of existing dispatchable generation, power EPCs, LNG infrastructure, and selected nuclear supply-chain names. The most important negative read-throughs are for wind OEMs and wind developers, power buyers facing inflated equipment costs and long lead times, data-center operators without secured power access, and conventional UPS/power-chain vendors exposed to potential architecture shifts toward integrated medium-voltage solutions. GAS TURBINE OEM SCARCITY AND PRICING POWER (READ-THROUGH 1) Affected companies: Siemens Energy AG (ENR: Germany), Mitsubishi Heavy Industries Ltd. (7011: Japan), Doosan Enerbility Co. Ltd. (034020: South Korea), Kawasaki Heavy Industries Ltd. (7012: Japan). Directional impact and magnitude: positive, high. Time horizon: near-term trading catalyst and longer-duration fundamental shift. The call materially reinforces the bull case for the global gas turbine OEM oligopoly. GE Vernova disclosed that it signed 21 GW of new gas turbine agreements in Q1, increased total gigawatts under contract from 83 GW to 100 GW sequentially, increased gas equipment backlog from 40 GW to 44 GW, and increased slot reservation agreements from 43 GW to 56 GW. The most important pricing datapoint was management’s statement that “orders in the first half of ’26” are expected to be priced “10 points to 20 points higher than our 4Q ’25 orders on a dollar-per-KW basis.” Management also stated that April power equipment orders by value had already exceeded all of Q1 power equipment orders. The transmission mechanism is direct: scarce heavy-duty gas turbine manufacturing capacity is supporting higher $/KW pricing, longer backlog visibility, higher equipment margins, and future service annuity growth for all credible OEMs. Siemens Energy and Mitsubishi Heavy Industries should benefit from the same industry-wide seller’s market because customer demand is broad, not GE-specific. GE Vernova stated that the 100 GW under contract is spread across almost 90 customers in 24 countries, with approximately 80% tied to traditional customers and 20% explicitly supporting data centers. That broad customer mix reduces the risk that the gas cycle is solely an AI/data-center phenomenon. The near-term catalyst is likely positive order and pricing sentiment across turbine peers. The longer-duration fundamental shift is more important: if OEMs are booking 2029-2031 capacity at materially higher prices, margin expansion should emerge over several years as backlog converts. The key read-through is that the gas turbine cycle appears supply-constrained rather than demand-constrained, which is structurally favorable for OEM economics. EXISTING DISPATCHABLE GENERATION ASSET VALUE (READ-THROUGH 2) Affected companies: Vistra Corp. (VST: United States), Constellation Energy Corp. (CEG: United States), NRG Energy Inc. (NRG: United States), Talen Energy Corp. (TLN: United States), Public Service Enterprise Group Inc. (PEG: United States), AES Corp. (AES: United States). Directional impact and magnitude: positive, high. Time horizon: near-term trading catalyst and longer-duration fundamental shift. GE Vernova’s commentary is highly constructive for owners of existing dispatchable generation assets. Management stated that gas turbine lead times are “directionally at about 3 years” and that only approximately 10 GW of capacity remains cumulatively across 2029 and 2030. Management also noted that in many cases “the gas turbines are really not the gating item,” citing EPC schedules, permitting, and fuel availability as other constraints. The transmission mechanism is capacity scarcity. If new dispatchable supply is delayed by turbine availability, EPC bottlenecks, permitting, interconnection, fuel access, and rising equipment costs, the existing fleet becomes more valuable. Merchant nuclear, gas, and coal assets should benefit through higher capacity market values, stronger bilateral contracting opportunities, improved power price formation, and greater strategic value to hyperscalers and utilities seeking reliable load-serving resources. Vistra, Constellation, NRG, and Talen are the clearest public-market beneficiaries because they own large existing dispatchable fleets in markets where AI load growth, electrification, and grid congestion are already tightening supply-demand balances. The call supports the thesis that new power supply cannot be added quickly enough to fully offset incremental demand, increasing the scarcity value of already-operating assets. The near-term trading catalyst is positive sentiment for merchant power equities and nuclear/gas fleet owners. The longer-duration fundamental shift is a potential repricing of dispatchable generation from cyclical commodity exposure to strategic infrastructure scarcity. GRID EQUIPMENT AND ELECTRIFICATION OEM SUPER-CYCLE (READ-THROUGH 3) Affected companies: Eaton Corp. plc (ETN: United States), Schneider Electric SE (SU: France), ABB Ltd. (ABBN: Switzerland), Siemens AG (SIE: Germany), Hitachi Ltd. (6501: Japan), Hubbell Inc. (HUBB: United States), Powell Industries Inc. (POWL: United States), Hammond Power Solutions Inc. (HPS.A: Canada), Mitsubishi Electric Corp. (6503: Japan). Directional impact and magnitude: positive, high. Time horizon: near-term trading catalyst and longer-duration fundamental shift. The strongest non-gas read-through from the call is that global electrification equipment demand remains far above supply. GE Vernova’s Electrification segment booked approximately $7.1B of orders, up 86% year-over-year, with orders running at roughly 2.5x revenue. Segment backlog reached $42B, up from $9B at year-end 2022, while equipment backlog increased to $39B, up 75% year-over-year. Revenue increased 29% organically, and EBITDA margin expanded 590 bps to 17.8%. The transmission mechanism is broad-based capacity scarcity across transformers, switchgear, substations, HVDC systems, grid automation, and power conversion. GE Vernova’s results validate elevated demand and favorable pricing for the entire electrical equipment peer group. Eaton, Schneider, ABB, Siemens, Hitachi, Hubbell, Powell, Hammond Power, and Mitsubishi Electric should all benefit from structurally higher order intake, backlog duration, margin support, and customer willingness to secure capacity earlier in project cycles. The call specifically highlighted strong growth in substations, HVDC, switchgear, and transformers, with equipment orders in North America and Asia both “roughly tripling year-over-year.” That geographic signal is important because it indicates the grid investment cycle is no longer concentrated in Europe; North American and Asian demand are now becoming equally important incremental drivers. The near-term trading catalyst is positive read-through to order growth, book-to-bill, backlog, and pricing for electrical equipment companies. The longer-duration shift is that electrification equipment is becoming one of the highest-quality capital goods end markets, with demand underpinned by grid modernization, data centers, industrial electrification, renewables integration, national security, and reliability requirements. NORTH AMERICAN TRANSFORMER CAPACITY AND REGIONALIZATION (READ-THROUGH 4) Affected companies: Hammond Power Solutions Inc. (HPS.A: Canada), Eaton Corp. plc (ETN: United States), Hubbell Inc. (HUBB: United States), Powell Industries Inc. (POWL: United States), Schneider Electric SE (SU: France), ABB Ltd. (ABBN: Switzerland). Directional impact and magnitude: positive for domestic and regionally advantaged manufacturers, medium-to-high; negative for import-reliant buyers, medium. Time horizon: near-term trading catalyst and longer-duration fundamental shift. GE Vernova’s Prolec commentary is a direct read-through to North American transformer scarcity. Prolec contributed nearly $500M of revenue at just over 20% EBITDA margin from early February through quarter-end. Its backlog reached approximately $5B, up $1B, or 25%, since the acquisition was announced at Q3 2025 earnings. GE Vernova also noted that Electrification’s North American backlog is now nearly as large as its European backlog following a strong Q1 and the addition of Prolec. The transmission mechanism is regional capacity value. Transformer demand is rising while domestic and regional capacity remains constrained. Companies with North American manufacturing capacity, pricing power, and transformer exposure should benefit from a sustained price umbrella and stronger backlog conversion. Hammond Power, Eaton, Hubbell, Powell, Schneider, and ABB should be viewed as beneficiaries where they have regionally advantaged manufacturing, medium-voltage equipment exposure, or utility/data-center customer access. The call also flagged that Section 232 changes create “a little bit more impact on the Prolec numbers,” although total company tariff exposure remains within the prior $250M to $350M net range. This suggests tariffs are not destroying demand, but they are reinforcing the value of regional supply chains. The negative read-through falls on import-reliant utilities, developers, EPCs, and equipment buyers that lack contractual pass-throughs, because transformer and switchgear inflation may persist longer than expected. The near-term catalyst is positive for transformer-exposed suppliers with domestic or regional production. The longer-duration shift is that transformer supply is becoming a strategic bottleneck, not a commoditized procurement category. DATA CENTER POWER INFRASTRUCTURE CONTENT EXPANSION (READ-THROUGH 5) Affected companies: Eaton Corp. plc (ETN: United States), Schneider Electric SE (SU: France), Vertiv Holdings Co. (VRT: United States), ABB Ltd. (ABBN: Switzerland), Hubbell Inc. (HUBB: United States), Powell Industries Inc. (POWL: United States), Siemens AG (SIE: Germany). Directional impact and magnitude: positive, high for electrical infrastructure suppliers. Time horizon: near-term trading catalyst and longer-duration fundamental shift. GE Vernova’s data-center commentary was one of the most important market signals in the call. Electrification orders from data centers were approximately $2.4B in Q1, more than the company booked from data centers in all of 2025. Management emphasized this twice, stating, “Just to repeat that, our Q1 Electrification orders to the data centers were more than full-year ’25 results.” In Gas Power, approximately 20% of total gigawatts under contract explicitly support data centers. The transmission mechanism is content expansion per megawatt of data-center load. AI data-center development is pulling demand not only for backup power and low-voltage distribution, but also for front-of-meter substations, high-voltage equipment, transformers, grid automation, power conversion, energy management systems, and potentially dedicated gas generation. Eaton, Schneider, Vertiv, ABB, Hubbell, Powell, and Siemens all benefit from this expanding electrical content stack. The call also showed that the data-center opportunity is moving from discrete equipment sales to integrated architectures. GE Vernova closed its first energy management system order for a data-center customer in Q1 and secured a second EMS order in April. The first order was part of a larger project that also included Gas Power equipment and substation electrical equipment. This supports the view that data-center power procurement is becoming system-level rather than component-level. The near-term catalyst is positive sentiment for data-center electrical equipment suppliers, particularly those exposed to switchgear, transformers, power distribution, medium-voltage systems, and thermal/power infrastructure. The longer-duration fundamental shift is that data-center power infrastructure may remain a multi-year capital cycle independent of short-term server or GPU shipment volatility. DATA CENTER POWER BOTTLENECK AND AI CAPEX FRICTION (READ-THROUGH 6) Affected companies: Microsoft Corp. (MSFT: United States), https://t.co/SpqvHNUxpK Inc. (AMZN: United States), Alphabet Inc. (GOOGL: United States), Meta Platforms Inc. (META: United States), Oracle Corp. (ORCL: United States), Equinix Inc. (EQIX: United States), Digital Realty Trust Inc. (DLR: United States), Nvidia Corp. (NVDA: United States), Broadcom Inc. (AVGO: United States). Directional impact and magnitude: mixed; positive for hyperscalers and data-center operators with secured power, negative for those exposed to power access delays and rising capex; medium magnitude. Time horizon: near-term trading catalyst and longer-duration fundamental shift. The same datapoints that are bullish for electrical suppliers are a constraint for AI infrastructure buyers. GE Vernova’s disclosure that data-center-related Electrification orders in Q1 exceeded all of 2025, combined with the 20% data-center share of gas turbine gigawatts under contract, indicates that hyperscalers are moving aggressively to secure power infrastructure years ahead of load delivery. The transmission mechanism is power scarcity and capex inflation. Hyperscalers increasingly need to reserve long-cycle power equipment, fund substations, secure dispatchable generation, and integrate energy management systems before compute capacity can be deployed. This increases upfront capital intensity and may lengthen deployment timelines for AI clusters. The companies with the strongest balance sheets and most advanced power procurement strategies should be advantaged, while smaller data-center operators or less power-secured AI platforms may face delays and higher project costs. For Microsoft, Amazon, Alphabet, Meta, and Oracle, the read-through is mixed. Strategic power procurement supports long-term AI capacity growth, but the cost per delivered megawatt is rising. For Equinix and Digital Realty, existing campuses with available power become more valuable, but greenfield deployment may become more expensive and slower. For Nvidia and Broadcom, the implication is not demand destruction, but timing risk: AI semiconductor demand may remain strong while the pace of data-center energization becomes a gating factor. The near-term trading catalyst is greater investor scrutiny of AI capex efficiency and power availability. The longer-duration shift is that access to electricity, not just access to chips, is becoming a primary competitive moat in AI infrastructure. INSIDE-DATA-CENTER POWER ARCHITECTURE DISRUPTION RISK (READ-THROUGH 7) Affected companies: Vertiv Holdings Co. (VRT: United States), Schneider Electric SE (SU: France), Eaton Corp. plc (ETN: United States), ABB Ltd. (ABBN: Switzerland). Directional impact and magnitude: mixed; positive for total addressable market, but negative competitive risk for conventional UPS-heavy architectures; medium magnitude. Time horizon: longer-duration fundamental shift, limited near-term earnings impact. A non-consensus read-through from the call is that GE Vernova is moving beyond outside-the-data-center electrical infrastructure and into data-center power architecture. Management stated that its historical data-center business was primarily substation electrical equipment outside the data center, but it has now booked its first EMS order and is developing a “stability block solution” that includes medium-voltage electrical equipment, storage, and software. Management also stated that the solid-state transformer would be “the first example inside the data center of scope for us,” with the first product expected to be delivered to a hyperscaler in fall 2026, followed by 6 months of testing. The transmission mechanism is architectural substitution. Traditional data-center power chains have relied heavily on low-voltage UPS systems, backup generation, switchgear, and distributed electrical equipment. If hyperscalers migrate toward higher-voltage, integrated power blocks with storage, software, and solid-state transformation, value could migrate upstream toward medium-voltage electrical OEMs and integrated grid-to-load solution providers. Vertiv remains a major beneficiary of data-center power growth, but the call introduces a longer-duration competitive risk: the most valuable power content may shift from conventional UPS and thermal-adjacent power systems toward integrated medium-voltage architectures. Schneider, Eaton, and ABB are better positioned to participate across both traditional and emerging architectures, while Vertiv’s long-term multiple may become more sensitive to evidence that hyperscalers are redesigning power systems at the campus or medium-voltage level. The near-term catalyst is limited because GE Vernova’s solid-state transformer is still in testing. The longer-duration implication is material because data-center power architecture is still evolving, and the winners may be those with the broadest medium-voltage, automation, storage, and software portfolios. HVDC, HIGH-VOLTAGE CABLE, AND TRANSMISSION BUILDOUT (READ-THROUGH 8) Affected companies: Prysmian S.p.A. (PRY: Italy), Nexans S.A. (NEX: France), NKT A/S (NKT: Denmark), Hitachi Ltd. (6501: Japan), Siemens Energy AG (ENR: Germany), LS Corp. (006260: South Korea). Directional impact and magnitude: positive, medium-to-high. Time horizon: near-term trading catalyst and longer-duration fundamental shift. GE Vernova disclosed that its HVDC backlog is approximately $10B, primarily in Europe, while also noting increasing momentum in other regions, including a large HVDC order in Asia during Q1. Management described Grid Systems Integration as the largest part of Electrification backlog and emphasized demand for HVDC systems and substations. The transmission mechanism is multi-year transmission infrastructure investment. HVDC systems require converters, substations, transformers, control systems, and specialized high-voltage cable. Prysmian, Nexans, NKT, Hitachi, Siemens Energy, and LS Corp. should benefit from sustained grid interconnection, offshore wind transmission, interregional power transfer, and data-center grid reinforcement demand. GE Vernova’s backlog validates that HVDC is not a short-cycle order phenomenon; it is a multi-year infrastructure cycle. The geographic signal is also important. Europe remains the largest HVDC backlog region, but Asia is accelerating. This supports diversified global demand for cable and high-voltage suppliers rather than a purely European transmission story. The near-term catalyst is positive sentiment for high-voltage cable and grid transmission order books. The longer-duration shift is that HVDC capacity is becoming a strategic bottleneck for power market integration, renewables interconnection, and load-center reliability. POWER EPC, TRANSMISSION CONSTRUCTION, AND GRID SERVICES DEMAND (READ-THROUGH 9) Affected companies: Quanta Services Inc. (PWR: United States), MasTec Inc. (MTZ: United States), MYR Group Inc. (MYRG: United States), EMCOR Group Inc. (EME: United States), Fluor Corp. (FLR: United States), AECOM (ACM: United States), Jacobs Solutions Inc. (J: United States). Directional impact and magnitude: positive for cost-plus and well-priced backlog, medium; negative for fixed-price exposure to equipment inflation, medium. Time horizon: near-term trading catalyst and longer-duration fundamental shift. GE Vernova’s commentary implies that the next bottleneck after equipment is project execution. Management said that gas turbines are “really not the gating item” in many projects, citing “the EPC build out, the permitting, the fuel availability” as key components of a roughly 3-year cycle. Separately, Electrification backlog growth in substations, HVDC, transformers, and data-center infrastructure points to a rising volume of grid construction and installation work. The transmission mechanism is project execution demand. Quanta, MasTec, MYR Group, EMCOR, Fluor, AECOM, and Jacobs should benefit from increased transmission, substation, power plant, interconnection, and industrial power project activity. Contractors with cost-plus structures, strong labor availability, and disciplined bidding should capture higher volume without absorbing equipment inflation. The negative read-through is for fixed-price or poorly indexed contracts. If transformers, switchgear, turbines, cables, and labor remain tight, contractors with insufficient pass-through could see margin pressure even as end-market demand improves. The call therefore supports a selective positive view of power EPC and grid services, not an indiscriminate one. The near-term catalyst is likely improved sentiment toward grid construction and power EPC backlog. The longer-duration fundamental shift is that engineering, permitting, and installation capacity may become as strategically valuable as equipment capacity. LNG-TO-POWER AND GAS INFRASTRUCTURE DEMAND (READ-THROUGH 10) Affected companies: Cheniere Energy Inc. (LNG: United States), Shell plc (SHEL: United Kingdom), TotalEnergies SE (TTE: France), Woodside Energy Group Ltd. (WDS: Australia), Sempra (SRE: United States), Baker Hughes Co. (BKR: United States), Chart Industries Inc. (GTLS: United States). Directional impact and magnitude: positive, medium. Time horizon: longer-duration fundamental shift, modest near-term trading catalyst. The call provided a constructive read-through for LNG demand and gas infrastructure, especially in Asia. GE Vernova referenced LNG opportunities in Vietnam and Japan, noted that customers are discussing gas turbine deliveries in 2030 and beyond with project commissioning in 2032 and 2033, and stated that customers are not changing long-term LNG underwriting assumptions despite current Middle East conflict risk. Management also referenced Vietnam, where GE Vernova has commissioned its first 1.6 GW LNG-to-power project and has an additional 3 projects on contract in the SRA category. Management stated that the previously cited 4.8 GW in Vietnam is continuing to progress. The transmission mechanism is long-duration fuel demand. New LNG-to-power projects require LNG supply, regasification, storage, pipeline, turbomachinery, and associated cryogenic equipment. Cheniere, Shell, TotalEnergies, Woodside, and Sempra benefit through long-term LNG demand and potential offtake support. Baker Hughes and Chart Industries benefit through LNG equipment, compression, turbomachinery, and cryogenic infrastructure. The near-term catalyst is limited because these projects are tied to early-2030s commissioning. The longer-duration implication is more important: Asian power demand continues to support LNG infrastructure investment even as renewables grow, because grid reliability and dispatchable generation remain essential.

@investmentguru_Apr 23, 2026 · 10:18 AM

THE ENERGY MAP: Every Source, Every Play Global energy investment just crossed $3.3T in 2025 — with $2.2T flowing into clean tech alone, 2× fossil fuels. The AI data center supercycle has changed everything. Power is now the bottleneck. Access to electricity > land, labor, connectivity. Here’s how the landscape is shaping up NUCLEAR — Highest Conviction The renaissance is real. Record generation, 63 reactors under construction, SMRs gaining traction with hyperscaler demand. → AI + baseload = nuclear wins Plays: $CEG $CCJ $OKLO $SMR $NNE $LEU $DNN $LTBR BATTERY STORAGE — High Conviction The backbone of 24/7 clean energy. Explosive growth + massive pipeline into 2030. → Solar pairing + grid stability + data center demand Plays: $TSLA $FLNC $STEM $AMPS $KULR $QS $MVST $AMPX GRID INFRASTRUCTURE — The Real Winner - No matter who wins, the grid must scale. Massive capex cycle just starting. → AI load + EVs + electrification = multi-year demand Plays: $CEG $NEE $ETN $PWR $VRT $HUBB $VST $AES SOLAR — Selective Still scaling globally, but policy shifts create winners & losers. → Data center PPAs absorbing higher costs Plays: $FSLR $ARRY $ENPH $NEE $RUN GEOTHERMAL — Stealth Play Underrated baseload. EGS unlocking new regions. → 24/7 clean energy = perfect for hyperscalers Plays: $CEG $ORKA $NEE NAT GAS / LNG — Bridge Fuel Not going anywhere. Reliability matters. → AI demand + LNG exports = strong tailwind Plays: $LNG $AR $EQT $SLB $HAL WIND — Watchlist Onshore steady, offshore challenged (policy + cost). → Europe still bullish Plays: $GEV $NEE $CWEN $BEP HYDROGEN — Speculative High risk, long-term potential. 2026 is pivotal. → Industrial demand is the key Plays: $PLUG $BE $LIN HYDRO — Stable Compounder Reliable baseload + long-duration storage. → Quiet outperformer in volatile markets Plays: $BEP $CWEN $NEP THE MACRO FRAME This is no longer just a climate transition. It’s a national security + AI infrastructure race. Capital flow trend: Semis → Memory → Photonics → Power & Energy → Robotics We are entering the Power wave Position accordingly. The grid wins regardless. Not financial advice. Like and share

@thevalueistApr 22, 2026 · 6:32 PM

Coming back to z-scores and relative volatility $GEV v $PM today is a good example as they both have statically significant +3.03 scores. On that score, GEV is up 12.4% and PM is up 6.8%. One is a high vol GAI infrastructure name and one is a tobacco dividend stock. You might be surprised at how wide the volatility dispersion between names can be.

@thevalueistApr 22, 2026 · 4:01 PM

With the Hawaiian shirt. We are finished. $GEV

@thevalueistApr 22, 2026 · 2:13 PM

Power semis continuing to rip. $GEV $VRT both with robust revenue growth guidance today (VRT down because short of wisper). Power semis definitely look like a strong candidate for GAI hype trade for H2-2026. https://t.co/Zd7FlRao3K $VICR $POWI $AOSL $NVTS https://t.co/1VCG47cC76

@thevalueistApr 22, 2026 · 1:46 PM

$GEV Pure American infrastructure build and CCGT with SMR optionality. Down the fairway!

@thevalueistApr 22, 2026 · 11:48 AM

$GEV up 8% pre. I’m long 1/21/28 calls. https://t.co/VLD8NgspHd

@thevalueistApr 22, 2026 · 10:25 AM

$GEV (Bloomberg) -- GE Vernova reported revenue for the first quarter that beat the average analyst estimate. FIRST QUARTER RESULTS •Revenue $9.34 billion, +16% y/y, estimate $9.11 billion (Bloomberg Consensus) ◦Power revenue $4.97 billion, +12% y/y, estimate $4.86 billion ◦Wind revenue $1.43 billion, -23% y/y, estimate $1.56 billion ◦Electrification revenue $2.96 billion, +61% y/y, estimate $2.89 billion •EPS $17.44 vs. 91c y/y •Adjusted Ebitda $896 million, estimate $791.1 million •Net income $4.75 billion vs. $264 million y/y •Adjusted free cash flow $4.79 billion vs. $975 million y/y YEAR FORECAST •Sees adjusted Ebitda margin 12% to 14%, saw 11% to 13% •Sees revenue $44.5 billion to $45.5 billion, saw $44 billion to $45 billion •Sees adjusted free cash flow $6.5 billion to $7.5 billion, saw $5 billion to $5.5 billion COMMENTARY AND CONTEXT •"Electrification segment booked $2.4 billion in equipment orders to support data centers, more than all of last year" •"Gas Power equipment backlog and slot reservation agreements grew from 83 to 100 GW; now anticipate reaching at least 110 GW by year-end 2026" •"With robust equipment orders growth in each segment and continued services strength, our backlog grew to $163 billion, inclusive of Prolec GE"

@jasonl_capitalApr 15, 2026 · 5:11 PM

3. $GEV - GE Vernova GE Vernova is the picks-and-shovels play for the entire power grid. They design, build, and service nuclear, gas, and hydro turbines at scale. $59B in orders last year. Revenue up 9% to $38B. This is what institutional money buys when they want nuclear exposure without betting on a startup.

@thevalueistApr 14, 2026 · 3:49 PM

Winner, winner, chicken dinner... $GEV crosses the $1000 psychological barrier. https://t.co/IRSWfKzM2C

@kaizen_investorApr 10, 2026 · 2:08 PM

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 👇

@investmentguru_Apr 9, 2026 · 10:42 AM

NUCLEAR ENERGY — Buying Opportunity Right Now? The setup is getting hard to ignore. Why Nuclear, Why Now - AI + data centers = massive, nonstop power demand - Policy tailwinds building (U.S. targeting major capacity expansion into 2050) - Global nuclear generation expected to hit new highs in 2026 - Energy security concerns (oil chokepoints, geopolitics) accelerating diversification - Big money calling it a “nuclear renaissance” The Watchlist $CEG - Largest U.S. nuclear operator - Long-term hyperscaler deals (AI demand locked in) $CCJ - Uranium leader + Westinghouse exposure - Strong contract book = revenue visibility - Best way to play uranium cycle $GEV - Massive backlog + global power footprint - SMR exposure + grid infrastructure play - Picks & shovels of nuclear buildout $OKLO - Next-gen SMR pure play - Big tech/data center pipeline - High risk, asymmetric upside $SMR - Large-scale SMR ambitions - Deep pullback (~80% off highs) - Long-duration, speculative bet $NEE - 30+ years of dividend growth - Nuclear + renewables balance - Safer compounder $VST - AI power demand leverage - Strong EBITDA growth trajectory - Undervalued vs forward potential $LEU - U.S. uranium enrichment leader - Strategic asset as supply chains shift - Direct geopolitical tailwind AI is creating a real energy crunch. Nuclear is one of the few scalable, reliable solutions. Pullbacks in this sector = opportunity across risk tiers. Not financial advice. Do your own research.

@kaizen_investorApr 7, 2026 · 5:06 PM

Although wind is certainly not Trump's favorite way to generate energy, the P/S of the sector has grown for a second quarter in a row. Wind is the only wave that can do this together with the mixed companies. The revenues of the wind industry have grown by 15% QoQ and 43% YoY. The biggest and probably most unexpected growth comes from $ORSTED. A couple of quarters ago, they had to cancel their US activities but now have found other interesting regions. The market cap of the wind industry has grown 28% QoQ and a staggering 149% YoY. The market cap of $GEV has grown 190% YoY, $VWS not far behind. Even though the sector has some political difficulties, investors are still expecting a lot from the wind industry. It also looks like a safe haven for investors who want to have some exposure in the green energy transition but don't want the higher risk of Nuclear, for example.

@kaizen_investorApr 7, 2026 · 5:06 PM

Q4 Energy transition update. I follow 7 big energy waves to keep track of the transition. Wind: $GEV, SIFG, ORSTED, $CDLR, PNE, NDX, VWS, Goldwind, Windey Green Hydrogen: $PLUG, $NEL, $ITM, TKA, LHYFE, $H2O, HYPRO, BLDP, CWR, FCEL Solar: $FSLR, $ENPH, $NXT, $TE, SMA Solar, Sunrun, Shoal, Longi, Jinko, Trina Energy Storage: $FLNC, STEM, $EOSE, NRGV, IES, $AMPX, $ENVX, CATL, LG, Gotion Nuclear: $BWXT, $SMR, $LEU, ASY, $CCO, Kazatomprom, $OKLO, NXE, UEC, DML LNG: $LNG, $VG, $EE, DLNG, GTT, CCEC, Kunlun, Petronet, ADNOC Mixed companies: $NEE, $VST, $CEG, $BE, $AES, $DUKE, $IBE, $RWE, $ENEL, $D Find out the details here 👇

@thevalueistMar 20, 2026 · 8:17 PM

$GEV

@thevalueistFeb 25, 2026 · 4:11 PM

$GEV all-time high today. It will continue to grind higher. True beast. https://t.co/PQ2Pw4fJqa