$ADI

@thevalueistMay 21, 2026 · 9:56 PM

$ADI KEY READ-THROUGHS FROM ANALOG DEVICES Q2 FY2026 EARNINGS CALL Analog Devices’ Q2 FY2026 call was a broad positive read-through for the higher-quality end of the semiconductor, AI infrastructure, industrial automation, automotive electronics, grid infrastructure, defense electronics, and medical technology ecosystems. The key market signal was that ADI’s recovery is no longer confined to inventory normalization or narrow restocking: revenue reached a record $3.62 billion, up 15% sequentially and 37% year-over-year; Industrial grew 20% sequentially and 56% year-over-year; Communications grew 22% sequentially and 79% year-over-year; data center grew more than 90% year-over-year; Automotive grew 8% sequentially; and channel inventory weeks declined while remaining within the company’s 6-week to 7-week target range. The most important broader-market conclusion is that B2B semiconductor demand has inflected across multiple verticals at the same time that AI-related demand is expanding from GPUs into power, optical, test, factory automation, grid infrastructure, and energy storage. The negative read-throughs are equally important: ADI’s gross margin appears near a local ceiling, consumer hardware is being pressured by sentiment, inflation, and memory choke points, and AI power-density innovation could displace portions of the legacy board-level power and passive-component value chain over time. Source material: Analog Devices Inc Q2 2026 earnings call transcript. HIGH-PERFORMANCE ANALOG AND MIXED-SIGNAL SEMICONDUCTORS (READ-THROUGH 1) Source commentary/data point: ADI stated that it is seeing “record demand for our products and solutions,” reported record revenue and EPS, and noted that “all of our industrial businesses increased sequentially and year-over-year.” Management also emphasized that channel inventory weeks declined while remaining within the 6-week to 7-week target range, and that Q3 should show “continued above-seasonal growth across industrial, automotive and communication.” Affected companies: Texas Instruments (TXN: US), Microchip Technology (MCHP: US), NXP Semiconductors (NXPI: US), Infineon Technologies (IFX: Germany), STMicroelectronics (STM: US), Renesas Electronics (6723: Japan), Arrow Electronics (ARW: US), Avnet (AVT: US). Directional impact and magnitude: Positive, medium-high for diversified analog/mixed-signal semiconductors; positive, medium for semiconductor distributors with industrial and automotive exposure. Transmission mechanism: ADI’s results indicate that the analog/mixed-signal recovery is becoming demand-led rather than channel-led. The combination of record revenue, broad end-market growth, declining channel inventory weeks, and above-seasonal Q3 guidance reduces the probability that the sector is simply benefiting from temporary distributor restocking. This is most relevant for companies with similar exposure to long-cycle industrial, automotive, communications, and embedded control demand. Texas Instruments, Microchip, NXP, Infineon, STMicroelectronics, and Renesas should benefit through improved order rates, higher factory utilization, stronger distributor turns, and less inventory overhang. Arrow and Avnet should benefit from improved sell-through and broader customer replenishment, particularly in industrial and automotive franchises. Near-term trading catalyst versus longer-duration shift: The near-term catalyst is positive estimate revision risk across analog and mixed-signal peers as investors extrapolate ADI’s clean-channel recovery into the broader group. The longer-duration shift is a potential transition from the 2023-2025 analog inventory correction into a new industrial/automotive/AI infrastructure content cycle. The read-through is strongest for premium analog franchises and weaker for commodity analog suppliers, because ADI’s management repeatedly highlighted unusually high ASPs, design-win stickiness, and product differentiation. ANALOG PRICING POWER AND DOWNSTREAM OEM COST INFLATION (READ-THROUGH 2) Source commentary/data point: Management said ADI “increased prices during the course of this year” to offset input-cost inflation, that pricing actions will add “a couple of points” to FY2026 growth, and that the company’s ASPs are “4x, 5x the industry average.” Management also stated that once ADI captures a design win, “competitive substitution is effectively zero.” Affected companies: Texas Instruments (TXN: US), Microchip Technology (MCHP: US), Monolithic Power Systems (MPWR: US), NXP Semiconductors (NXPI: US), Infineon Technologies (IFX: Germany), Tesla (TSLA: US), BMW (BMW: Germany), Siemens (SIE: Germany), Schneider Electric (SU: France), Rockwell Automation (ROK: US). Directional impact and magnitude: Positive, medium for premium analog suppliers; negative, low-to-medium for downstream OEMs with high embedded semiconductor content. Transmission mechanism: ADI’s commentary supports the view that premium analog and mixed-signal suppliers retain meaningful pricing power even after the post-COVID inventory correction. The “effectively zero” substitution comment is particularly important because it implies that OEM customers have limited practical ability to redesign high-value analog content out of platforms once those platforms enter production. This supports gross-margin resilience for differentiated semiconductor suppliers but creates cost pressure for downstream OEMs in autos, industrial automation, power systems, and high-end electronics. Tesla, BMW, Siemens, Schneider, and Rockwell are not necessarily uniquely exposed to ADI, but they represent end markets where higher analog/power/sensing content and supplier pricing discipline can raise bill-of-materials pressure. Near-term trading catalyst versus longer-duration shift: Near term, the read-through supports margin and pricing assumptions for premium analog names, especially where investors feared pricing giveback after the inventory correction. Longer term, the implication is that value continues to migrate toward suppliers that own hard-to-substitute analog, signal-chain, power, and sensing sockets. The negative downstream impact should be treated as margin-dilutive rather than demand-destructive, given that semiconductor content is generally enabling higher-value product functionality. ANALOG GROSS-MARGIN CEILING AND LIMITED INCREMENTAL UTILIZATION UPSIDE (READ-THROUGH 3) Source commentary/data point: ADI reported Q2 gross margin of 73% and operating margin of 49%, but management guided to a roughly 50 bps gross-margin decline in Q3 due to the absence of a one-time channel repricing benefit. Management said utilization should be “fairly neutral” and that “we don’t see a ton of future upside on gross margin from utilization given where we’re running the factories today.” When asked whether Q3 gross margin represented a local peak, management answered, “Yes. I actually think that’s the right way to think about it.” Affected companies: Analog Devices (ADI: US), Texas Instruments (TXN: US), Microchip Technology (MCHP: US), NXP Semiconductors (NXPI: US), ON Semiconductor (ON: US), Renesas Electronics (6723: Japan). Directional impact and magnitude: Negative, medium for near-term multiple expansion in analog semiconductors; neutral-to-slightly negative for incremental EPS leverage assumptions. Transmission mechanism: ADI’s demand commentary was very strong, but the margin commentary indicates that incremental upside may increasingly need to come from volume growth and mix rather than additional factory-utilization leverage. This matters because analog stocks often re-rate early in recoveries as investors underwrite both revenue acceleration and utilization-driven gross-margin expansion. If ADI’s utilization is already near a level where incremental gross-margin leverage is limited, the broader analog sector may face a cleaner revenue recovery but less dramatic earnings leverage than prior upcycles. This read-through is particularly important for names where investor models embed a large utilization-driven gross-margin snapback. Near-term trading catalyst versus longer-duration shift: Near term, the read-through is a constraint on analog-stock multiple expansion after a strong cyclical rally. Longer term, the implication is not structurally bearish; it indicates that high-quality analog franchises can sustain very high margins, but incremental earnings upside must be driven by higher-value mix, pricing discipline, and content growth rather than simply fuller fabs. AI DATA CENTER POWER AND OPTICAL INFRASTRUCTURE (READ-THROUGH 4) Source commentary/data point: ADI disclosed that data center now accounts for more than 75% of Communications revenue and grew more than 90% year-over-year. Management said the growth was “fueled pretty much equally by similar growth rates across both the power and optical portfolios,” that both portfolios had “strong orders and strong results,” and that data center is expected to be ADI’s fastest sequential grower in Q3. Management also said Communications, including data center, is an above-corporate-average gross-margin business. Affected companies: Monolithic Power Systems (MPWR: US), Vicor (VICR: US), Broadcom (AVGO: US), Marvell Technology (MRVL: US), Coherent (COHR: US), Lumentum (LITE: US), Astera Labs (ALAB: US), NVIDIA (NVDA: US), Advanced Micro Devices (AMD: US). Directional impact and magnitude: Positive, high for AI power and optical-exposed semiconductor suppliers; positive, medium for broader AI accelerator and connectivity suppliers. Transmission mechanism: The call confirms that AI infrastructure demand is pulling through high-value non-GPU content at the rack and board level. Power and optical grew at similar high rates, indicating that AI capex is not merely a GPU phenomenon; it is creating demand for voltage regulation, power management, optical control, optical interconnect, signal integrity, and high-speed connectivity. Monolithic Power and Vicor benefit through AI power-density demand. Broadcom, Marvell, Coherent, Lumentum, and Astera Labs benefit from the same AI connectivity and optical-capacity cycle. NVIDIA and AMD benefit indirectly because the power/optical strength validates continued AI rack deployment and rising system complexity around accelerators. Near-term trading catalyst versus longer-duration shift: Near term, the read-through is positive for AI infrastructure suppliers ahead of their own reports because ADI’s data center strength was both optical- and power-led, with strong orders and Q3 sequential acceleration. Longer term, it supports the thesis that the AI server value chain will continue broadening beyond accelerators into power delivery, optical networking, rack-scale interconnect, and system-level efficiency. VERTICAL POWER DELIVERY AND PASSIVE-COMPONENT DISPLACEMENT RISK (READ-THROUGH 5) Source commentary/data point: ADI’s planned acquisition of Empower Semiconductor was described as adding “the final piece” of a “grid-to-core power platform.” Management said Empower provides integrated voltage regulator technology and silicon capacitors, enabling “true vertical power delivery,” shrinking customers’ power footprint by up to 4x, reducing data center compute power consumption by an estimated 10% to 15%, and eliminating the need for “bulky external components.” Management also said meaningful Empower-related revenue is expected in 2027, not immediately. Affected companies: Analog Devices (ADI: US), Monolithic Power Systems (MPWR: US), Vicor (VICR: US), Murata Manufacturing (6981: Japan), TDK (6762: Japan), Yageo (2327: Taiwan), Vishay Intertechnology (VSH: US). Directional impact and magnitude: Positive, high for ADI over the longer duration; mixed for Monolithic Power and Vicor, with positive near-term demand but negative medium longer-duration competitive risk; negative, medium longer-duration for passive-component suppliers exposed to board-level power architectures. Transmission mechanism: Empower signals that power delivery is moving closer to the XPU, GPU, and CPU. This matters because the traditional power architecture relies heavily on board-level voltage regulation and external passive components. If integrated voltage regulators and silicon capacitors become more important in AI accelerator platforms, value may migrate from discrete board-level components toward integrated power-delivery solutions closer to the compute die. Murata, TDK, Yageo, and Vishay face potential displacement risk where bulky external passive content is reduced. Monolithic Power and Vicor benefit from the same power-density demand in the near term but face a more competitive long-term architecture battle if ADI successfully scales Empower’s IVR technology. Near-term trading catalyst versus longer-duration shift: The near-term trading impact should be limited because ADI said Empower is only post-revenue today and not material immediately. The longer-duration implication is more important: AI power delivery may become an integrated, proprietary, architecture-defining battleground by 2027, and companies with differentiated power density, transient response, and near-core voltage regulation should command higher strategic value. ATE AND ELECTRONIC TEST AND MEASUREMENT (READ-THROUGH 6) Source commentary/data point: Management said ADI’s data center and ATE businesses are “taking advantage of strong AI-driven infrastructure investments to achieve new highs” and are on “steep growth trajectories,” with increasing confidence in growth into 2027. ADI also said ETM supports end-to-end product development from R&D prototyping, debugging, and validation through mass production in AI, EVs, and secure communications, and that shrinking innovation cycles are propelling ADI’s design pipeline. Affected companies: Advantest (6857: Japan), Teradyne (TER: US), Keysight Technologies (KEYS: US), FormFactor (FORM: US), Chroma ATE (2360: Taiwan), National Instruments owner Emerson Electric (EMR: US). Directional impact and magnitude: Positive, high for AI ATE leaders; positive, medium-high for broader test, measurement, validation, and probe-card suppliers. Transmission mechanism: ADI’s ATE and ETM commentary reinforces a high-value test-intensity thesis. AI accelerators, advanced packaging, high-bandwidth memory interfaces, EV power electronics, ADAS systems, and secure communications all increase design complexity and verification requirements. That complexity raises demand for semiconductor testers, probe interfaces, RF/mixed-signal instrumentation, validation tools, and production test capacity. Advantest and Teradyne are the clearest beneficiaries from ATE demand tied to AI chip production. Keysight, Chroma, Emerson/National Instruments, and FormFactor benefit from broader validation, measurement, and probe-card intensity. Near-term trading catalyst versus longer-duration shift: Near term, ADI’s “new highs” and “steep growth trajectories” language should support positive order-read-throughs into ATE and instrumentation earnings. Longer term, the shift is structural because AI and EV platforms are increasing test content per device and expanding the scope of validation from silicon to system-level performance. INDUSTRIAL AUTOMATION, DIGITAL FACTORIES, AND ROBOTICS (READ-THROUGH 7) Source commentary/data point: ADI said automation is benefiting from “onshoring of advanced manufacturing” and “evolving labor dynamics,” which are increasing demand for digital factories and next-generation robots. Management said robots are becoming a larger share of factory investments, that ADI’s higher-value products are aiding automation’s “fast recovery,” and that humanoids and advanced robotics are increasing the opportunity pipeline. Affected companies: Rockwell Automation (ROK: US), Siemens (SIE: Germany), ABB (ABBN: Switzerland), Schneider Electric (SU: France), Keyence (6861: Japan), Fanuc (6954: Japan), Yaskawa Electric (6506: Japan), Cognex (CGNX: US), TE Connectivity (TEL: US). Directional impact and magnitude: Positive, medium-high for industrial automation leaders; positive, medium for sensors, connectors, machine vision, motion-control, and robotics suppliers. Transmission mechanism: ADI’s automation commentary indicates that industrial automation is recovering cyclically while also benefiting from secular onshoring, labor scarcity, semiconductor-fab automation, biopharma automation, data-center automation, and robotics penetration. This should support factory automation hardware, PLCs, servo systems, sensors, industrial networking, machine vision, and robotics demand. Rockwell, Siemens, ABB, Schneider, Keyence, Fanuc, Yaskawa, and Cognex are direct beneficiaries of higher automation capex. TE Connectivity benefits through higher connector and sensor content in industrial systems. Near-term trading catalyst versus longer-duration shift: Near term, the read-through is positive for industrial automation names where investors remain concerned about sluggish PMI data or delayed capex. Longer term, the more important implication is that automation is moving toward autonomy, raising semiconductor, sensing, connectivity, and edge-compute content per machine and per factory cell. AEROSPACE, DEFENSE ELECTRONICS, AND NATIONAL SOVEREIGNTY (READ-THROUGH 8) Source commentary/data point: ADI said aerospace and defense reached a new revenue high and that “increased focus on national sovereignty concerns” is accelerating an already strong multiyear growth path. Management also noted that Industrial, which includes ATE and aerospace and defense, is its most profitable business and has 15-year to 20-year average product life cycles. Affected companies: Mercury Systems (MRCY: US), Teledyne Technologies (TDY: US), Curtiss-Wright (CW: US), L3Harris Technologies (LHX: US), RTX (RTX: US), BAE Systems (BA.: UK), Leonardo (LDO: Italy). Directional impact and magnitude: Positive, medium for defense electronics, RF/mixed-signal, sensing, and mission-critical hardware suppliers. Transmission mechanism: ADI’s commentary confirms that defense electronics demand is being driven by national sovereignty, not just near-term budget cycles. This supports suppliers of secure communications, sensors, RF systems, mission computers, avionics electronics, power systems, ruggedized computing, and signal-processing hardware. Mercury, Teledyne, Curtiss-Wright, and L3Harris have particularly relevant exposure to defense electronics and mission-critical systems. RTX, BAE, and Leonardo benefit at the prime and systems level through sustained procurement and modernization demand. Near-term trading catalyst versus longer-duration shift: Near term, this supports earnings-revision confidence for defense electronics suppliers. Longer term, the implication is more durable because 15-year to 20-year product life cycles and sovereignty-driven procurement can create long backlog visibility, high switching costs, and structurally resilient margins. AUTOMOTIVE SEMICONDUCTORS, ADAS, AND BMS (READ-THROUGH 9) Source commentary/data point: ADI reported Automotive revenue up 8% sequentially and 2% year-over-year. Management said ADI is seeing content and share gains in next-generation ADAS and infotainment systems, with increased demand for GMSL, functionally safe power, and A2B. BMS revenue grew year-over-year for the first time in 2 years and was up double-digits year-over-year. Management also cited a material late-quarter pickup in China, record automotive performance in Europe and Japan, record bookings, positive book-to-bill, lean customer inventory, and expected L3 ADAS deployment in some China vehicles by year-end. Affected companies: NXP Semiconductors (NXPI: US), Infineon Technologies (IFX: Germany), STMicroelectronics (STM: US), ON Semiconductor (ON: US), Renesas Electronics (6723: Japan), Mobileye Global (MBLY: US), Aptiv (APTV: US), Denso (6902: Japan). Directional impact and magnitude: Positive, medium-high for automotive semiconductor suppliers; positive, medium for ADAS and Tier 1 electronics suppliers. Transmission mechanism: ADI’s automotive result supports 2 distinct positive read-throughs. First, the automotive semiconductor inventory correction appears to be largely complete in several higher-value sockets, especially BMS. Management explicitly said customers appear “fairly lean” after digestion and that ADI is not seeing inventory build-up. Second, growth is being driven by content and share gains rather than vehicle units. This is especially important for NXP, Infineon, STMicroelectronics, ON Semiconductor, Renesas, and Mobileye, where investor focus is shifting from global auto production units to EV, BMS, ADAS, safety, power, and domain-controller content per vehicle. Near-term trading catalyst versus longer-duration shift: Near term, this is positive for auto-semiconductor estimate revisions, particularly for companies exposed to China EVs, Europe/Japan production, BMS, and ADAS. Longer term, the L3 ADAS and BMS commentary supports a secular content-per-vehicle thesis even in a muted global auto unit environment. The important caveat is that management still said China was declining sequentially overall, so the read-through is strongest for semiconductor content growth and late-quarter momentum, not for a broad auto-unit recovery.

@blackpanthercapMay 21, 2026 · 5:44 PM

The clearest sign you can get 😳 “Physical AI is the next wave.” — Jensen Huang. Here’s the complete Physical AI list - save it: $NVDA: GPUs, Jetson processors, Omniverse digital twins and Isaac stack for physical AI robots. 
$OUST: digital LiDAR sensors for robot 3D mapping and navigation. 
$TSLA: Optimus humanoid robots for general-purpose physical tasks. 
$SYM: AI mobile robot fleets for warehouse automation. 
$SERV: AI sidewalk robots for last-mile urban logistics. 
$TER: collaborative robot arms for AI manufacturing automation. 
$CGNX: machine vision cameras for industrial robot perception. 
$AMBA: low-power AI chips for robotic computer vision. 
$AEVA: 4D LiDAR sensors for robot distance, velocity and mapping. 
$HSAI: solid-state LiDAR sensors for autonomous robot perception. 
$ISRG: AI-assisted da Vinci surgical robots for precision physical procedures. 
$ZBRA: AI autonomous mobile robots for warehouse logistics automation. 
$ROK: industrial automation platforms integrating AI robotics control. 
$ADI: sensors and power chips for robot perception and actuation. 
$ONDS: unmanned robotic systems for aerial and ground physical AI. 
$SYK: Mako AI robotic-arm systems for surgical navigation. 
$PRCT: AquaBeam robotic systems for minimally invasive prostate procedures. 
$LAZR: Luminar LiDAR sensors for 3D robot and autonomy perception. 
$MBLY: Mobileye AI vision systems for robotic navigation. 
$TDY: machine vision cameras and imaging for industrial robot guidance. -BP Please note: this is not financial advice.

@investmentguru_May 12, 2026 · 9:43 AM

The “Inflation Era” of AI Compute is Breaking Out Across the Board Every layer of the AI infrastructure stack is seeing demand explosion — and the winners aren’t just $NVDA. Here’s the full supply chain map 👇 ⚙️ FOUNDATIONAL INFRASTRUCTURE → PCB: $TTM, $JBL → CCL: $ROG → MLCC: $VSH → Liquid Cooling & Thermal: $VRT 🔴 CORE COMPUTE & MEMORY AI Silicon: → $NVDA $AVGO $AMD $INTC Memory / Storage: → $MU $SNDK $WDC $STX $INTC Power Management / Analog: → $TXN $ADI $NXPI $STM $MPWR $VICR Wafer Foundry: → $TSM $GFS $UMC Advanced Packaging / OSAT: → $TSM $ASX $AMKR 🔵 OPTICAL COMMUNICATIONS NETWORK Optical Components: → $LITE $COHR $AAOI Optical Fiber & Cable: → $GLW Silicon Photonics Foundry: → $TSEM $GFS INP: → $AXTI Optical DSP / Interconnect Silicon: → $MRVL $FN ☁️ CLOUD & AI PLATFORMS → $AMZN $GOOG $BABA $BIDU The AI compute supercycle isn’t one stock — it’s an entire ecosystem repricing in real time. Not financial advice. DYOR.

@investmentguru_May 9, 2026 · 3:53 PM

The Complete Semiconductor Playbook — AI Supercycle 2026 The AI trade is no longer one ticker. It’s a full stack. Here’s every layer: 💾 MEMORY $MU · $WDC · $STX · $SNDK · $AMAT · $LRCX → HBM4 = the new oil. Not a commodity anymore. Strategic infrastructure. 🔌 CONTROLLERS $RMBS · $SIMO · $ATOM · $MCHP · $ADI · $TXN → The traffic cops of every AI system. Overlooked. Undervalued. Critical. 📦 PACKAGING / TESTING $AMKR · $FORM · $CAMT · $ONTO · $COHU · $ACMR → CoWoS. HBM stacking. Chiplets. This is where chips become systems. 🧠 NEXT-GEN MEMORY $MRAM · $GSIT · $NVEC · $NLST · $CEVA → Beyond DRAM. Early-stage. Asymmetric upside when the cycle arrives. 🌐 OPTICAL / INTERCONNECT $LITE · $AAOI · $COHR · $CIEN · $MRVL · $GLW · $MTSI · $TSEM · $POET · $LWLG · $FN → The hottest sub-sector in semis right now. 800G → 1.6T. CPO is the next arms race.

@thevalueistMay 8, 2026 · 4:30 PM

$ADI another all-time high today. Outstanding looking breakout chart. I'm still long 1/21/28 calls. https://t.co/KSKGpHADrK https://t.co/6BO2JkjY0E

@thevalueistApr 22, 2026 · 9:47 PM

$ADI positive post move on $TXN print read through. https://t.co/vdMPouHn3f

@investmentguru_Apr 19, 2026 · 8:41 PM

$ADI — Analog Devices Sensor fusion is the nervous system of every robot. ADI makes the precision analog chips that convert real-world signals (pressure, motion, temperature) into data robots can act on. ADI stands out for resilient profitability, dividend safety, and growth exposure to robotics.

@mrmikeinvestingApr 19, 2026 · 4:01 PM

The upcoming $2T SpaceX IPO is about to cause a generational rally amongst the full space economy… Your chance to enter these space sector names below before they squeeze will end soon: Spacecraft & Launch Systems - $RDW, $RKLB, $FLY, $LUNR, $YSS Satellite Operators & Services - $AMZN, $ASTS, $SPIR, $PL, $IRDM Raw Materials & Mining - $FCX, $TECK, $MP, $AA Specialty Materials & Alloys - $ATI, $GLW, $MTRN, $CRS, $HXL Electronics and semiconductors - $NVDA, $LITE, $STM, $COHR, $ADI Don’t miss out on these potential life changing investment opportunities…

@investmentguru_Apr 19, 2026 · 11:51 AM

Physical AI play Silicon / Compute (The Brain) $NVDA — Owns the full AI stack $ARM — Royalties on every advanced chip $AMBA — Edge vision processing $QCOM — Low-power AI decision chips $NXPI — Control + sensor fusion backbone Sensing / Memory (Real-Time Awareness) $ADI — Converts physical signals into data $MU — High-speed memory for instant decisions $OUST — Affordable LiDAR enabling scale Materials (The Constraint) $MP — Rare earth monopoly = motor supply control Simulation (Build Before Reality) $CDNS — Every robot is simulated before deployment Proven Monetization $ISRG — Physical AI already generating recurring revenue Deployment Layer (Real-World Execution) $ONDS — Drone + defense infrastructure $SERV — Autonomous delivery at scale Software / Interface (Control Layer) $PATH — Orchestrating humans + AI + robots $SOUN — Voice + vision interface for machines

@investmentguru_Apr 19, 2026 · 11:42 AM

$ISRG — The Blueprint For How Physical AI Gets Monetized Surgical robotics is Physical AI that already prints recurring revenue. With an installed base exceeding 10,763 systems globally, da Vinci 5 continues gaining momentum with AI-powered force feedback and in-console video replay for real-time surgical decision-making. Every humanoid robotics company is trying to build what ISRG already has. $ONDS — Drones Are Physical AI. And Ondas Is Building the Sovereign Security Grid. Drones are the first large-scale deployment of Physical AI — whoever controls drone swarm technology controls the next generation of warfare and commercial autonomy. Management raised 2026 revenue guidance to $375M — an 840% YoY growth trajectory — driven by Roboteam ground robotics and drone-in-a-box deployments across UAE and Saudi Arabia. Most speculative on this list. Highest upside if execution holds. $PATH — The Orchestration Layer Between Human Workers and Robot Workers Maestro coordinates AI agents, software robots, and human workers across complex enterprise workflows — the central nervous system for autonomous business operations. 90% of U.S. IT executives see agentic potential, 77% plan investments in 2026, but only 37% are live. PATH is where PLTR was in mid-2023. The re-rating hasn’t happened yet. $SOUN — Every Physical AI Machine Needs a Voice. SoundHound Wants to Own That Layer. Robots need to take commands. AVs need to understand context. Machines need ears. At CES 2026, SoundHound unveiled Vision AI for vehicles — uniting visual with voice AI so an in-vehicle assistant can listen, see, and interpret the world simultaneously. Named a leader in the Aragon Research Globe for Agent Platforms 2026. Speculative — but 400+ patents and 217% revenue growth says the moat is real. $SERV — Jensen Huang Called Them Out By Name. The Robots Are Already Delivering. Not a concept. Not a demo. Serve has deployed over 2,000 robots across the U.S. — the nation’s largest sidewalk delivery fleet — completing thousands of deliveries weekly for Shake Shack, Little Caesars, Uber Eats, and DoorDash. The 2026 acquisition of Diligent Robotics expanded Serve into hospitals — Moxi operates in 25+ U.S. hospitals generating $200K–$400K annual revenue per deployment. Nvidia spotlighted. T-Mobile partnered. Real deployments, real data, real moat forming. Stack Map: → Silicon/Compute: $NVDA $ARM $AMBA $QCOM $NXPI → Sensing/Memory: $ADI $MU $OUST → Materials: $MP → Simulation: $CDNS → End Market: $ISRG → Deployment: $ONDS $SERV → Software/Interface: $PATH $SOUN Not financial advice. DYOR.

@investmentguru_Apr 19, 2026 · 11:42 AM

Physical AI Playbook-  Wave 1 was digital AI — data centers, GPUs, LLMs. Wave 2 is Physical AI — robots, drones, AVs. $NVDA — The God of Physical AI Every robot OS runs on Nvidia. Jetson Thor delivers 7.5x the performance of its predecessor — already adopted by Amazon Robotics, Boston Dynamics, Figure, and Caterpillar.  Simulation, foundation models, edge compute — Nvidia owns the entire stack. You don’t beat the platform. $ARM — The Invisible Tax On Every Robot Ever Built You’ll never see Arm’s logo on a robot. You’ll pay them every time one ships. Arm’s cores sit inside virtually every chip in edge AI — Nvidia’s Jetson, Qualcomm’s Dragonwing, NXP’s S32, Ambarella’s CVflow. As chips get smarter, Arm captures a larger royalty per unit.  Pure leverage play on the entire Physical AI buildout. $AMBA — Robots Need Eyes. Ambarella Makes Them. When a robot drops a glass, it can’t wait for a signal to go to the cloud and back. Ambarella makes low-power AI chips that process vision on the edge instantly.  Real-time edge vision is a hard engineering problem — Ambarella has the lowest power, highest accuracy solution. No vision, no robot. $QCOM — The Phone Chip Company That’s Actually a Robot Chip Company The market still prices Qualcomm as a smartphone play. Qualcomm’s Dragonwing IQ10 SoC enables low-power decision-making for drones, robots, and AVs beyond the cloud.  When Physical AI re-rating hits this ticker, the gap closes fast. $NXPI — The Unsexy Chip That Every Humanoid Robot Will Need Nobody talks about NXP. They should. In March 2026, NXP announced foundational robotics solutions developed with Nvidia — combining Nvidia’s Holoscan Sensor Bridge with NXP SoCs to enable sensor fusion, machine vision, and precision motor control for humanoid form factors.  NXP’s processors are purpose-built for the zonal architecture shift — from hundreds of isolated control units to a few centralized superchips. These hit volume production in 2026.  Once designed in, stays for a decade. $ADI — The Nervous System No One Is Investing In Every robot needs to feel the world before it can act on it. Analog Devices converts real-world pressure, motion, and temperature signals into data robots can use. ADI stands out for resilient profitability, dividend safety, and growth exposure to robotics.  The boring bottleneck with a blue-chip balance sheet. $MU — Speed Is Life When Your Robot Is Walking A robot walking and making a decision can’t afford a 1–2 second delay — a one-second lag means it drops something, crashes, or hurts someone.  Fast low-power memory at the edge closes that gap. LPDDR5X and HBM are Micron’s answer. Robotics demand here is structural, not cyclical. $MP — No Rare Earths, No Robot Motors. Full Stop. You can’t build a million robots without the magnetic materials that make their motors spin — and the rare earth supply chain is severely constrained. If the Pentagon wants U.S.-made robots, they need MP’s California mine.  The geopolitical moat is the thesis. $OUST — LiDAR Fell 99% in Cost. The Mass Deployment Era Just Started. Ouster is benefiting from a 99%+ cost decline in LiDAR since 2019, helping expand AV and robotics beyond R&D into real-world deployment.  Cheap LiDAR is the unlock — robots finally have affordable spatial awareness at scale. $CDNS — You Can’t Ship a Robot You Haven’t Simulated First Cadence’s $3.18B acquisition of Hexagon’s Design & Engineering business brings industry-standard multibody dynamics simulation tools essential for Physical AI and robotics development.  Every robot company is a Cadence customer before it ships a single unit. Invisible infrastructure, zero competition.

@jasonl_capitalApr 18, 2026 · 10:33 PM

Electronics & Semiconductors • $QRVO ($82.11) — SATCOM beamformer ICs for phased-array terminals and satellite payloads. Pending Skyworks merger creates a $22B RF platform. • $ADI ($372.48) — Precision analog and beamforming silicon with a dedicated Commercial Space Products program qualified for LEO and GEO missions. • $COHR ($347.47) — Laser-based optical interconnects for satellite-to-satellite and ground comms. Pentagon building laser comms into next-gen space architecture. Nvidia just took a $2B stake.

@thevalueistApr 17, 2026 · 5:25 PM

$ADI ascending to an all-time high today. +5% on the day. One more great looking breakout chart. I am long 1/21/28 calls. https://t.co/KSKGpHADrK https://t.co/GUK3RZmnKU

@thevalueistMar 10, 2026 · 2:01 AM

$ADI Analog Devices (ADI) Q1 FY2026 Post-Earnings Debrief https://t.co/4VPFZ4ErQX Analog Devices delivered a decisive Q1 FY2026 beat with revenue of $3.16B (+30% YoY, +3% seq) and non-GAAP EPS of $2.46 (+51% YoY), both above guidance. The real story is the Q2 guide: $3.5B revenue at midpoint (+11% seq) with operating margin expanding to 47.5%, representing the strongest sequential acceleration since the Maxim acquisition. CEO Roche explicitly called FY2026 a potential "banner year" — language that is unprecedented for historically measured ADI management. The investment debate has shifted from "is the analog cycle turning" to "how long and how high does this upcycle run" — with the critical nuance that restocking has not yet begun, meaning the most powerful phase of the recovery remains ahead.

@mrmikeinvestingMar 7, 2026 · 11:41 PM

THE ROBOTICS STACK EXPLAINED: 1. $NVDA & $QCOM provide the vision processors, & compute silicon to allow robots to process data, & make real time decisions. 2. $GOOGL, $MSFT & $META supply the foundation models to give robots reasoning, perception, & interaction abilities. 3. $PLTR, $ORCL & $MSFT convert massive robot fleet data into actionable intelligence while $PANW & $CYBR secure the systems. 4. $ARM, $SNPS & $CNDS design the chips powering robot brains. 5. $MBLY & $TDY provide the vision systems, cameras, & perception sensors to allow robots to understand the world. 6. $MP supplies rare earth magnets used in electric motors to move robotic systems. 7. $ADI, $ON & $STM provide the analog semiconductors that connect digital AI systems to motors, sensors, & power electronics. 8. $ST, $RRX & $TKR manufacture the bearings, motors, & mechanical components for robots. 9. $HON & $ROK deliver the industrial automation platforms that integrate robotics into factories. 10. $TSLA, $AAPL, $BABA & $AMZN are building competing robotic ecosystems across manufacturing, logistic, and mobility applications. It’s clear the expansion within the robotics layer is wide, & many names are responsible for this sector boom…

@mrmikeinvestingJan 22, 2026 · 3:08 AM

These are the top 6 chip stocks recommended by Bank of America that’ll lead the $1.2T sector: 1. Advanced Micro Devices $AMD 2. Nvidia $NVDA 3. Micron Technology $MU 4. Broadcom $AVGO 5. Lam Research $LRCX 6. Analog Devices $ADI These are some of the lowest risk investments… https://t.co/OxUsaqkbqo