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Is chip materials science, not just GPUs, becoming the next AI bottleneck? In this video: what large quantitative models (LQMs) are and how they differ from LLMs, why the shift to 3D chips makes new materials critical, and how SandboxAQ plans to use its $500M CHIPS award.Shalini Sharma, Ph.D., who leads semiconductor materials innovation at SandboxAQ and previously worked at Applied Materials, joins us to explain how AI and quantum-based simulation can screen millions of candidate chemistries before anything reaches a lab.We cover SandboxAQ's business model and four CHIPS focus areas: PFAS-free chemistries, catalysts and precursors, fab backup batteries, and rare-earth-free magnets. We also discuss what faster materials R&D could mean for suppliers like Applied Materials, Entegris, Qnity, and Shin-Etsu, and for onshoring the chip supply chain.Chapters00:00 Intro: Shalini Sharma and SandboxAQ01:15 LQMs vs. LLMs explained02:20 Why materials are the hidden AI bottleneck03:55 From 2D scaling to 3D chips and the Angstrom era06:30 CFETs, compound semis, and science as a search problem09:15 Do LQMs have a scaling law?10:30 GPUs, ASICs, and where quantum computing fits12:10 Applied Materials vs. SandboxAQ culture16:45 Favorite science meme17:20 The $500M CHIPS award20:00 Supply chain risk: 90% of key magnet materials made abroad20:55 How SandboxAQ makes money22:45 Three go-to-market paths, including LQMs on Claude24:15 Customers and the four CHIPS verticals30:20 PFAS in data center cooling fluids31:50 What this means for materials suppliers33:45 A new wave of industrial startups?36:40 Applied Materials' AI tools for process recipes40:05 Wild card: best spot in Palo Alto41:45 Wrap-up— LINKS & RESOURCES —Join Semi Insider — $120/yearSemi Insider is Chip Stock Investor's paid research service: all research as it happens, the CSI 100 + quarterly outlook, dashboard tools (Compare Companies, Reverse DCF, supply-chain mapping), weekly live Q&A, portfolio moves before execution, and the private Discord.Join: https://chipstockinvestor.com/features-and-pricingFree demo: https://demo.chipstockinvestor.com/All our links & socials: https://linktr.ee/chipstockinvestorDisclaimer: For education only — not financial advice. Do your own research.#SandboxAQ #MaterialsScience #Semiconductors

Ouster stock: what has to go right over the next 10 years to justify ~$41 a share? In this video: Ouster’s (OUST) Q2 2026 results, why plunging LiDAR sensor prices are actually good news, and how to value an unprofitable growth company with our new normalized profit and peer benchmarking calculator. Ouster grew revenue 56% year over year to $55M in Q2 2026, more than tripled sensor shipments to over 17,000, and pushed GAAP gross margin to 49%, all while holding operating expenses nearly flat. But it still runs a −37% operating margin and −28% free cash flow margin. Our normalized profit scenario shows today’s price already assumes about 30% annual revenue growth for a decade and a 20% FCF margin. That makes OUST a hold in our small bets basket, with a closer look if shares fall toward $30. Join Semi Insider and get access to the new "normalized profit" calculator! $120/year until November 30, 2026. Join: https://chipstockinvestor.com/features-and-pricing Free demo: https://demo.chipstockinvestor.com/ Chapters 00:00 Intro: Ouster (OUST) and our small bets basket 00:40 Where Ouster fits in the end-market cycle: auto, industrial, and physical AI 02:55 Q2 2026 results: color LiDAR and 56% revenue growth 04:20 Falling selling prices and the Jevons paradox 05:15 Q3 guidance, gross margin, and operating expense control 06:55 The financials: operating and free cash flow margins 08:45 Reverse DCF and “pretend profitability” 10:05 Peer group benchmarking: Hesai, Aeva, Teledyne 12:10 Normalized profit calculator walkthrough 13:55 Adding a margin of safety 15:10 Other checks: balance sheet, cash, and share dilution 15:55 Our take: hold, and the price levels we’re watching — LINKS & RESOURCES — Join Semi Insider — $120/year Semi Insider is Chip Stock Investor's paid research service: all research as it happens, the CSI 100 + quarterly outlook, dashboard tools (Compare Companies, Reverse DCF, supply-chain mapping), weekly live Q&A, portfolio moves before execution, and the private Discord. Join: https://chipstockinvestor.com/features-and-pricing Free demo: https://demo.chipstockinvestor.com/ All our links & socials: https://linktr.ee/chipstockinvestor Disclaimer: For education only — not financial advice. Do your own research. Ownership: CSI owns shares of Ouster as of publication. Positions can change without notice. #Ouster #LiDAR #Semiconductors

CoreWeave’s 9.75% senior notes saw yields surge past 15% as bond prices slid, dragging equity down with them. In this episode, we break down why rising borrowing costs squeeze fixed-price GPU contracts, what CoreWeave’s balance sheet reveals about its next debt raise, and how we’re adjusting our portfolio. Timestamps0:00 Why Neocloud Investors Are Hurting Right Now1:20 The 2022 Playbook: Rising Yields vs. Growth Stocks2:20 CoreWeave’s 9.75% Senior Notes Explained3:15 Balance Sheet Check: $5.5B Cash vs. Debt4:40 The Bond See-Saw: Prices Down, Yields Up7:35 Reason #1: A Flood of AI and Government Debt8:55 Reason #2: Is the Neocloud Bubble Ending?9:50 Bondholders First, Shareholders Last11:00 The 2015 Shale Bust Parallel & Our Portfolio Moves Links & ResourcesJoin Semi Insider: https://chipstockinvestor.com/features-and-pricingFree Demo: https://demo.chipstockinvestor.com/All Links: https://linktr.ee/chipstockinvestor Disclaimer: Educational only, not financial advice. CSI holds positions in CoreWeave and Nebius as of publication.

Wix took on $1.1B in 0% convertible notes priced near $210/share, then bought back $1.6B of stock, all with shares trading around $75. Is management seeing value the market is missing, or is WIX a value trap? Wix (WIX) has been one of the hardest-hit names in this year’s SaaSpocalypse. The market has been pricing software companies as if the AI labs will absorb everything. The numbers tell a more complicated story. Revenue re-accelerated 15% year over year to $563 million in Q2 2026, driven by price increases and by Base44, the vibe coding app builder Wix acquired in June 2025. Base44 crossed $150 million in annualized recurring revenue in May. In this video, Nick and Kasey break down Wix Harmony, Base44, and Base1, Wix’s proprietary LLM built to lower AI inference costs and lift gross margins. We walk through the balance sheet, the $1.6 billion net share repurchase, and an AI investment cycle that cut quarterly free cash flow from $156 million to $53 million. Then we run a reverse DCF and our normalized profit calculator, compare WIX to Shopify, Figma, and Adobe on valuation, and explain how we’re handling our own position. Our approach is a small-bets basket with a hard rule for reassessing. If you want the reasoning behind more names like this one, Semiconductor Insider covers the process in more depth. Get access to all our research, weekly live Q&A events, and a growing set of tools to build your process. Create your free demo account now at https://www.chipstockinvestor.com 📰 Why Chip Stock Investor Is Becoming a Software Business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ Linktree for all our socials: https://linktr.ee/chipstockinvestor If you found this video useful, please make sure to like and subscribe! 0:00 - Wix After the SaaSpocalypse: Dead or Mispriced? 2:00 - “Reports of My Death”: Why Wix Still Has Real Assets 3:00 - Wix Harmony vs. Base44: Two Paths to AI Site Building 4:00 - Base44 vs. the AI Labs: $150M ARR in Under a Year 6:00 - Base1: Why Wix Is Building Its Own LLM 7:45 - $1.1B Convertible Notes & a $1.6B Buyback 10:00 - Revenue Re-Accelerates 15%, Free Cash Flow Drops 14:00 - Valuation: Reverse DCF vs. Normalized Profitability 19:00 - WIX vs. SHOP, FIG & ADBE: Value or Value Trap? 20:45 - Our Decision: Sell, or Hold in the Small Bets Basket? ******************************************************* Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction! Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of Wix. #Investing #StockMarket #WIX #Base44 #Shopify

TSMC just beat the high end of its own guidance, and on the same day CoreWeave’s debt traded at a 15% yield. Here’s how to square the two, and why we’ve been flagging neocloud balance sheet risk for over a year. Taiwan Semiconductor Manufacturing (TSM) delivered another standout quarter in Q3 2026: $46.7 billion in revenue, a 66% gross margin, and a 58.7% operating margin. Nearly 80% of wafer revenue came from 7nm and below. High-performance computing (HPC) grew 22% sequentially to about 68% of revenue, driven by agentic AI and data center demand. CapEx guidance now sits at $60–64 billion as the foundry leader accelerates its second Arizona fab, evaluates Texas, and scales advanced packaging. Like ASML, TSMC remains capacity constrained, and the two-year growth runway looks wide open. The neocloud story is very different. We break down the balance sheet metrics we’ve tracked for CoreWeave and Nebius: CapEx-to-revenue, debt-to-equity, and debt-to-assets. We explain why a crowded, undifferentiated AI infrastructure market may not generate enough revenue to justify the debt. This isn’t the end of the AI bull market. It may be a mid-cycle shakeout that rewards quality, self-funding hyperscalers, and healthy balance sheets. We also share how we’re positioned. 🎥 Neocloud video referenced in this episode: https://www.youtube.com/watch?v=mkCxTqDVrYc This video is sponsored by Fiscal.ai, the financial data platform we use every day at Chip Stock Investor. Get 15% off any paid plan at https://fiscal.ai/csi If you want the reasoning behind more names like this one, Semiconductor Insider covers the process in more depth. Get access to all our research, weekly live Q&A events, and a growing set of tools to build your process. Create your free demo account now at https://www.chipstockinvestor.com 📰 Why Chip Stock Investor Is Becoming a Software Business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ Linktree for all our socials: https://linktr.ee/chipstockinvestor If you found this video useful, please make sure to like and subscribe! 0:00 - TSMC Q3 2026: A Record Quarter and a Neocloud Warning 0:45 - TSMC’s 40% Run and Its Role at the Base of the Chip Stack 1:40 - Q3 Breakdown: $46.7B Revenue, 66% Gross Margin, 7nm and Below 2:20 - HPC Hits 68% of Revenue and $60–64B CapEx Guidance 3:00 - Agentic AI Demand, Arizona Fab 2, and Advanced Packaging 4:25 - Long-Term Bets: High-NA EUV Photomasks and Sony Deal 5:20 - Is TSMC Still a Buy? The Two-Year Growth Runway 5:45 - CoreWeave Bonds Hit 15% Yield: What the Market Woke Up To 6:30 - Neocloud Red Flags: CapEx/Revenue, Debt/Equity, Debt/Assets 9:10 - Our Positions and the Coming Mid-Bull Market Shakeout ******************************************************* Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction! Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of TSMC. #Investing #StockMarket #TSMC #CoreWeave #Neocloud

ASML just reported Q3 2026 earnings, and management delivered a major update: the company cannot fully meet customer demand for the next two years. With net sales hitting €11.66 billion—up 55% year over year—these results reshape the trajectory for the entire wafer fab equipment (WFE) industry. In this episode, we break down the quarterly print and what extended capacity constraints mean for semi equipment through 2028: End-Market Shift: How memory chipmakers and installed base management offset softer logic spending to drive the top-line surge. Profitability & Cash: Net income near €5 billion (including ~€500M from ASML’s Mistral AI stake) and the rebound in free cash flow after several lumpy quarters. Q4 2026 Guidance: The setup for ~52% revenue growth and record gross margins near 57%. Revisiting Our 2028 Call: Why our earlier thesis on a potential 2028 equipment slowdown looks completely different now that ASML is weighing expansion beyond its planned 30% capacity bump. The Fab Five & Sector Strategy: What this supply crunch signals for Applied Materials, Lam Research, KLA, and Tokyo Electron following the post-June sell-off—and why macro equipment allocation matters more than single-stock picking at this stage of the AI cycle. Timestamps: 0:00 ASML Kicks Off Chip Earnings Season 1:10 The EUV Moat: Why Lithography Is a Choke Point 3:00 Sales by End Market: Memory Picks Up the Slack 4:10 Q3 2026 Revenue: +55% and the Lumpy Sales Cycle 6:00 Net Income, the Mistral AI Gain & Free Cash Flow 7:30 Revisiting Our 2028 Slowdown Call 8:10 Q4 Guide: +52% Growth and Record ~57% Margins 9:00 Capacity Constrained Through 2028: Why It’s Bullish 11:10 Fab Five Sell-Off: Is Equipment on Sale? 12:00 Allocation Over Stock Picking: Our Takeaway Sponsor: Try Fiscal.ai, the financial data platform we use every day. Get 15% off any paid plan at https://fiscal.ai/csi Join Semiconductor Insider: Get early access to our complete research, weekly live Q&As, and proprietary equipment tracking tools at https://chipstockinvestor.com Platform Vision: Why Chip Stock Investor Is Becoming a Software Business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ Connect with Us: https://linktr.ee/chipstockinvestor Affiliate links are sprinkled throughout our show notes. If something catches your eye and you decide to buy, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction! Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. Chip Stock Investor owns shares of ASML.

SpaceX (SPCX) is down from its post-IPO highs, and it’s quietly become one of the biggest neoclouds in the AI data center buildout. Is it hype, or is there a real strategy behind the xAI and Cursor deals? In this episode, we take an objective, numbers-first look at SpaceX as a public company, setting aside the Elon Musk controversy to focus on the business: Why a rocket and satellite company merged with xAI and spent $60 billion in stock on the AI coding platform Cursor. Breaking down the reported compute-leasing deal with Google, the path toward a $41 billion annualized run rate by year-end, and the goal of 10 gigawatts of compute by 2027. Looking at the feasibility and plan to put Nvidia Vera Rubin-based data centers in orbit. Analyzing 92% revenue growth in the June 2026 quarter, Starlink connectivity vs. AI segment revenue, adjusted EBITDA vs. EBIT, an $18.4 billion quarterly CapEx ramp compared with CoreWeave and Nebius, and a balance sheet with $100 billion in cash. Does SpaceX belong in our portfolio right now, and which space economy stocks are on our watch list? Timestamps: 0:00 SpaceX After the IPO: Neocloud Hype or Real Strategy? 1:05 Separating the Business From the Elon Musk Controversy 2:30 The xAI Merger: Why a Rocket Company Bought an AI Lab 4:00 The $60B Cursor Deal and Filling Its Own Data Centers 5:00 Google Deal, $41B Run Rate and the Power Outage Problem 7:05 10 Gigawatts by 2027 and Nvidia Data Centers in Orbit 10:00 Financials: 92% Revenue Growth and Shrinking Operating Profit 11:45 CapEx Ramp: SpaceX vs CoreWeave vs Nebius 13:15 Starlink vs AI Segment, EBITDA vs EBIT and the Balance Sheet 18:00 Is SPCX a Buy? Our Verdict and Space Stock Watch List Join Semiconductor Insider: Get our complete research, weekly live Q&As, and tools to build your process at https://chipstockinvestor.com Why Chip Stock Investor Is Becoming a Software Business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ Connect with Us: https://linktr.ee/chipstockinvestor Affiliate links are sprinkled throughout our show notes. If something catches your eye and you decide to buy, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction! Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. Chip Stock Investor holds no shares of SpaceX. Episode DescriptionTimestampsResources & Links

The arrival of AI agents like Meta Muse is poised to reshape e-commerce platforms and trigger a ripple effect upstream across data center silicon. In this episode, Nick breaks down how agentic workloads change the margin equation for software and hardware companies alike. First, we examine the platform battle lines: why Amazon’s move to block Muse and Shopify’s choice to embrace it could disrupt digital advertising funnels, compress retail margins, and challenge aggregators like Booking Holdings. Then, we follow the infrastructure dollars back to the chip supply chain. While GPUs continue to capture the bulk of AI capital expenditures, persistent AI agents running inside isolated virtual machines introduce heavy CPU and memory demands. We review the data center landscape across Nvidia, AMD, Intel, Broadcom, Marvell, and custom ASIC design houses like Alchip. Along the way, we compare revenue growth, operating margins, and relative valuations—highlighting why Intel could capture unexpected upside from incremental server CPU demand, and what 2027 memory fab additions mean for DRAM and NAND players like Micron, SK hynix, Samsung, and Kioxia. Timestams 0:00 Meta Muse Launch: Why AI Agents Matter Now1:00 Amazon vs. Meta vs. Shopify: Revenue & Margin Breakdown2:50 “Your Margin Is My Opportunity”: Who Loses E-Com Profit4:20 Would an Amazon Sell-Off Be a Buying Opportunity?5:00 Booking Holdings & Travel: Is AI Agent Risk Overblown?7:15 GPUs vs. CPUs: What AI Agents Actually Change12:00 Memory & NAND Flash: The Agent Storage Opportunity13:30 Supplier Map & Valuations: NVDA, AMD, AVGO, MRVL18:00 Why Intel Has the Most to Gain20:20 2027 Memory Capacity & Where to Allocate Now Join Semiconductor Insider: Access our complete research archive, weekly live Q&A sessions, and proprietary tool suite: https://chipstockinvestor.com Article: Why Chip Stock Investor Is Becoming a Software Business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ Connect with Us: https://linktr.ee/chipstockinvestor Disclosure: Chip Stock Investor team members hold shares in Meta. Affiliate links may be included; if you make a purchase through them, we may earn a small commission that helps fund the channel (and Kasey's coffee habit). Disclaimer: Content presented is for informational and educational purposes only and does not constitute individualized investment advice. Projections and historical analyses may not reflect future performance. All investing involves risk, including possible loss of principal.

Onsemi shifted its acquisition of Synaptics to a $5.7B all-cash transaction following competing bid pressure. While markets initially cheered the move, the added balance sheet debt and pushed-out financial targets complicate the near-term recovery path for ON Semiconductor stock. In this episode, Nick and Kasey break down the revised Onsemi ($ON) and Synaptics ($SYNA) merger agreement. We examine the insourcing synergies management is targeting, the resulting leverage profile, and why integration friction could keep the stock range-bound through mid-2027. We also dive into Onsemi’s Investor Day update:• Why prior 2027 gross margin and operating margin targets are likely slipping• The 2026 operational outlook and new standalone 2030 targets (12–14% revenue CAGR and 30–35% FCF margin)• Why Monolithic Power Systems ($MPWR) continues to outpace traditional IDMs like Onsemi and Infineon ($IFNNY) by leveraging a fabless model and AI data center demand tied to next-gen architectures like Nvidia Vera Rubin• How the "Fab Right" footprint defends free cash flow, where advanced packaging fits into the thesis, and why we are holding our position today TIMESTAMPS00:00 Why Onsemi Has Lagged Infineon and Monolithic Power00:55 The Fabless Advantage: How MPWR Pulled Ahead03:40 Revised Deal: Synaptics Goes $5.7B All-Cash05:00 New Synergies: Insourcing Synaptics Production06:20 Balance Sheet Check: Debt, Leverage & Integration Risk07:40 Investor Day: Why the 2027 Targets Will Likely Be Missed10:00 2026 Outlook and the New 2030 Targets11:40 Onsemi vs. Infineon: Margins and the Fab Right Strategy13:15 What Synaptics Adds: Fabless Margins and HMI Growth14:50 Advanced Packaging Theory and Our Position on ON RESOURCES & LINKS• Join Semiconductor Insider for deep-dive research, valuation models, and weekly live sessions: https://www.chipstockinvestor.com• Fiscal.ai (Save 15% on the fundamental charting platform we use): https://fiscal.ai/csi• Synaptics Deep Dive Video: https://www.youtube.com/watch?v=ybSvQQNE8C4• Why CSI Is Becoming a Software Business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/• Connect with us across platforms: https://linktr.ee/chipstockinvestor Disclosure & Disclaimer: Affiliate links may be included above. If you purchase through these links, we may earn a commission that supports the show. Content in this episode is strictly for general informational and educational purposes and does not constitute individualized investment advice. Forecasts may not materialize, and investing involves the risk of loss, including the possible loss of principal. CSI holds positions in Onsemi (ON) and Monolithic Power Systems (MPWR).

Will we actually see humanoid robots in every home? While viral demos grab headlines, the real investing story in physical AI comes down to unglamorous physical bottlenecks. In this episode, we sit down with Ankur Saxena of TDK Ventures (formerly Cisco Ventures) to break down what it will actually take for physical AI and robotics to scale. Ankur explains why major tech platform shifts are always won by whoever solves the structural bottlenecks underneath—and why in physical AI, that means edge inference, power constraints, tactile sensing, and actuators. In this episode, we cover: The "5 Ps" Framework: Evaluating AI compute on Performance, Price, Power, Programmability, and Privacy. "Language is Forgiving, Physics is Not": Why robotics won’t have a sudden "ChatGPT moment" overnight. The Hardware BOM Reality: Why actuators represent 40%–70% of a humanoid robot's cost—and what China's grip on rare-earth magnet supply chains means for Western hardware builders. Engineering Roadblocks: The unsolved frontiers of thermal dissipation, battery density, and tactile feedback. Valuation Check: Why crossover SaaS investors are mispricing robotics startups by ignoring industrial manufacturing cycles. Deployment Roadmap: Why structured environments like factories and data centers come years before consumer homes, plus how vertically integrated giants like Tesla (Optimus) and SoftBank fit into the landscape. Timestamps: 00:00 – Humanoid Robots: Why This Matters Now 01:00 – Why Winners Solve the Bottlenecks Underneath the Platform 04:00 – Defining Physical AI & the 5 Ps of Edge Compute 08:30 – "Language Is Forgiving, Physics Is Not" 11:45 – Why Robotics Won't Get a Single "ChatGPT Moment" 14:00 – Hardware BOM Breakdown: Sensors, Actuators, Batteries & Heat 20:00 – The Actuator Squeeze & Rare-Earth Magnet Supply Chains 23:00 – Valuation Reality Check: Are Robotics Startups Overpriced? 28:30 – Hardware Margins vs. Enterprise Sales Cycles 32:30 – Where Robots Deploy First: Factories, Data Centers & Vertical Integration Want the full uncensored interview, live subscriber Q&As, and our deep-dive research into the physical AI and robotics supply chain? 🔬 Join Semiconductor Insider: chipstockinvestor.com 📖 Read Our Strategic Thesis: Why Chip Stock Investor Is Becoming a Software Business 🌐 Connect Across All Platforms: linktr.ee/chipstockinvestor Disclosures & Notes: Affiliate links may be included above. If something catches your eye, we may earn a small commission—thanks for helping fuel our caffeine fund! Content in this episode is for general informational and educational purposes only and does not constitute personalized financial or investment advice. Projections and industry analysis may not develop as predicted. Investing in equities involves substantial risk, including the loss of principal.

Hundreds of billions are pouring into GPU-based AI data centers. We break down who the real structural winners are — and who's just riding peak hype. The hyperscalers (Amazon, Microsoft, Alphabet, Meta) keep investing heavily in fundamental compute infrastructure. But a new wave of "neo-clouds" — and a lot of completely unrelated businesses — are piling into the space, which is what a classic inter-bull-market bubble tends to look like. Former Bitcoin miners, clean-energy and microgrid software companies, even a failed shoe brand suddenly pivoting to AI data centers: the supply of capital is catching up to demand fast. In this episode, we walk through why an industry washout looks inevitable over the next few years, how valuations normalize from here, and why long-term US CapEx trends suggest you shouldn't dump your core tech holdings over it. We also get into the data center shell shortage, how the trade has evolved since the 2022 ChatGPT catalyst, and our own portfolio moves — why we trimmed Nebius, why we're holding the core hyperscalers, and why we're not rushing to buy the dip. TIMESTAMPS 0:00 - Why the Neo-Clouds Look Like a Bubble 1:00 - The Hyperscaler & Neo-Cloud Index: Amazon and Azure to DigitalOcean 2:00 - Peak Hype: Crypto Miners, Clean Energy, and a Shoe Company Pivoting to GPUs 4:00 - Inter-Bull-Market Bubble: Where Capital Productivity Starts to Slow 5:00 - The GPU and Data Center Shell Shortage Since the 2022 ChatGPT Catalyst 7:00 - Preparing for the Washout: Bankruptcies, M&A, and the Path to Productivity 8:00 - Portfolio Strategy: Trimming Nebius, Holding Hyperscalers, Not Buying the Dip 9:00 - Macro View: 50 Years of US CapEx and Reversion to Trend — If you want the reasoning behind more names like this one, Semiconductor Insider covers the process in more depth. Get access to all our research, weekly live Q&A events, and a growing set of tools to build your process: https://www.chipstockinvestor.com All our socials: https://linktr.ee/chipstockinvestor If you're getting value from the show, follow so you don't miss the next one. — Disclosure: Some links above are affiliate links. If you buy something through them, we might earn a little coffee money — thanks for helping us (Kasey) fuel our caffeine addiction. Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted, and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of Nebius, Amazon, Alphabet, and DigitalOcean.

Synopsys (SNPS) and Cadence (CDNS) own the chip design software duopoly that every designer relies on, yet both have badly lagged the semiconductor rally since 2022. One year after Synopsys’ massive Ansys merger, what actually went wrong? In this episode, we break down why the EDA giants are trailing the SOXX, the fallout from the Ansys deal, and why Synopsys sold its ARC processor IP to GlobalFoundries for $450M. We also dig into Synopsys' balance sheet—including over $6B in net debt, dilution, and flat free cash flow per share—wrap with six reasons it fell behind Cadence, and run a reverse DCF to see what growth the market is pricing in at ~$415. Get all our research, deep dives, and weekly live Q&A inside Semiconductor Insider:👉 https://www.chipstockinvestor.com Why Chip Stock Investor is becoming a software business:https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ Find all our links: https://linktr.ee/chipstockinvestor Disclaimer: For educational and general informational purposes only. CSI holds shares in Synopsys and Cadence. Affiliate links may be used.

Axon seems to come up in a lot of investing discussion, but its largest competitor often doesn't. Motorola is more than three times the size of Axon. We've done a few videos on Axon, but never on its biggest competitor: Motorola Solutions (MSI). So this time we put them side by side, along with the wider public safety sector, because you shouldn't make a portfolio decision on either one without understanding the other. Motorola is far bigger — $3.1B in quarterly revenue versus Axon's $904M — but growing slower at 13% year over year against Axon's 35%. Motorola is the profitable, shareholder-friendly value name (nearly 26% operating margins, $326M in buybacks and $201M in dividends last quarter). Axon is the high-growth leader that barely makes money today and carries the uncertainty that comes with aggressive acquisitions and heavy stock-based comp. We also get into why this is really a physical-AI story: both companies are pushing hard into drones — Axon with Skydio and Dedrone, Motorola with Brinc and its Defend Solutions acquisition — neither building the hardware themselves, both focused on the software that runs it. We run a reverse DCF on each, including how we think about "normalizing" Axon's not-yet-real profitability, to see what growth each stock needs to justify today's price. TIMESTAMPS0:00 - Why Motorola Deserves a Look Before You Buy Axon1:00 - Public Safety as a Physical AI Thesis (and the Flock Backlash)2:00 - Drone Startups: Ondas, Red Cat, Unusual Machines3:00 - Motorola vs. Axon: Size vs. Growth3:40 - The Drone Push: Skydio, Brinc, and Software-First Strategy6:00 - Margins and Profitability: Where Motorola Leads7:30 - Motorola's Earnings Highlights and Segment KPIs9:30 - Reverse DCF on Motorola: The Value Case11:15 - Reverse DCF on Axon: Normalizing "Pretend Profitability"13:30 - Final Take: Buy, Watch List, or a Public Safety Basket — If you want the reasoning behind more names like this one, Semiconductor Insider covers the process in more depth. Get access to all our research, weekly live Q&A events, and a growing set of tools to build your process: https://www.chipstockinvestor.com All our socials: https://linktr.ee/chipstockinvestor If you're getting value from the show, follow so you don't miss the next one. — Disclosure: Some links above are affiliate links. If you buy something through them, we might earn a little coffee money — thanks for helping us (Kasey) fuel our caffeine addiction. Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted, and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of Axon.

Neoclouds like Nebius, CoreWeave, and IREN are showing the signs of a micro bubble, and we trimmed our Nebius position. This episode covers where we think AI capital goes next. Jensen Huang frames the AI economy as a five-layer cake: energy, chips, infrastructure, models, and applications. So far the cake has been inverted. Most capital has gone to the bottom layers (energy, semiconductor manufacturing, and data center build-out), even though those sectors are a small share of global GDP. After the software selloff earlier in 2026, there are early signs that the top layer, meaning applications, devices, and services, is starting to drive real AI demand. We revisit our bull market framework: what drives secular growth, what signals slowing productivity from capital investment, and how micro bubbles form inside a healthy bull market. That includes why neoclouds, cybersecurity, and parts of the semiconductor rally got ahead of themselves, and what Allbirds and GoPro pivoting to AI says about where we are in the cycle. We also walk through the software supply chain hierarchy, including internet infrastructure built for AI agents and inference traffic, and explain why our recent investments have leaned toward end markets like video games. The semiconductor cycle is still the foundation. The question is where the next dollar of AI capital earns its best return. Chapters 0:00 Nvidia's five-layer cake: why the AI trade is broadening 0:50 The inverted pyramid: why capital flowed to the bottom layers 1:45 What drives a bull market, and what ends one 2:30 Micro bubbles: overheated pockets inside a healthy bull market 2:50 Neoclouds overheating: why we trimmed Nebius 3:15 Allbirds and GoPro pivot to AI: a late-cycle signal 3:40 Cybersecurity and semis: what we trimmed and what we held 4:10 The software supply chain hierarchy 4:50 Where capital goes next: the tertiary layer and video games Semiconductor Insider covers the full process behind names like these: all our research, weekly live Q&A, and a growing set of tools. https://www.chipstockinvestor.com Why Chip Stock Investor is becoming a software business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ All our socials: https://linktr.ee/chipstockinvestor If this was useful, follow the show so new episodes land in your feed. Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of Nebius and CoreWeave.

META is above $740, and the market is pricing Meta Muse as an automatic win. Meta is a top-five CSI holding and we've owned it for years. We're holding, not adding, at this price. Meta reaches 3.6 billion people a day, yet about $59 billion of its $60 billion in quarterly Family of Apps revenue still comes from advertising. Muse, the company's new personal AI agent, is its most serious attempt yet to change that mix. This episode covers how Muse works as a personal aggregator running on Meta's data center infrastructure, and the four ways it could make money: consumer subscriptions, business agents and APIs, commerce and performance fees, and higher-intent ad targeting. We also get into why Amazon blocking Muse matters for the walled-garden-versus-aggregator fight ahead. Then the numbers: bear, base, and bull revenue scenarios for Muse; $89 billion in trailing CapEx absorbing free cash flow (NVIDIA servers, plus custom MTIA chips with Broadcom and TSMC); what five-year EPS growth is priced in at today's valuation; and whether operating margins can hold near 30% as depreciation climbs. Chapters 0:00 3.6B users, endless lawsuits: why Meta is a top-five CSI holding 0:55 Ad dependence: $59B of $60B in quarterly revenue 2:40 Reality Labs cash burn and the Apple/Android problem 5:00 The AI browser wars: how Muse sidesteps the hardware layer 6:30 $89B in CapEx: what the data center spending is for 7:15 What Muse actually does: a personal AI aggregator 8:40 Four ways Muse makes money, and why Amazon blocked it 11:10 Bear, base, and bull case: Muse revenue scenarios 13:40 The real risk: trust, walled gardens, and margin pressure 15:40 Valuation check: 16% EPS growth priced in at $740 Semiconductor Insider covers the full process behind names like these: all our research, weekly live Q&A, and a growing set of tools. https://www.chipstockinvestor.com Why Chip Stock Investor is becoming a software business: https://chipstockinvestor.com/why-chip-stock-investor-is-becoming-a-software-business/ All our socials: https://linktr.ee/chipstockinvestor If this was useful, follow the show so new episodes land in your feed. Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of Meta.