Manuel Walz
Manuel Walz GARP Investing Podcast
How Synopsys & Dassault Systèmes transform to the Agentic AI world | Podcast Deep Dive
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How Synopsys & Dassault Systèmes transform to the Agentic AI world | Podcast Deep Dive

🚀 The “SaaSmageddon” Survival Guide: AI & Impossible Materials

Preface

Over the last few years, I’ve shared a tons of valuable semiconductor content on X, e.g. here for NVIDIA. However, the platform is fast-paced, and insights often disappear too quickly. To give these ideas a second life and reach a wider audience, I’m experimenting with AI-generated podcasts based on my original posts on X and my own investment research material. It sounds straightforward, but ensuring the content is plausible, cogent, and easy to follow is a true challenge; despite AI, it’s much more time-consuming than I first anticipated. I’d love to hear your thoughts on how to improve this format in the comments!

If you’re interested in the original deep dive, click below:

What You Can Expect from This Podcast 🎧

🚀 The “SaaSmageddon” Survival Guide: AI & Impossible Materials

  • 🧪 From “Cook-and-Look” to AI Design: We are moving past traditional trial-and-error discovery. Using Agentic AI—AI that reasons and tests hypotheses—scientists like MIT’s Prof Markus Buehler are creating “Impossible Materials” that are lighter than air but stronger than steel. 🏗️

  • ⚔️ The Clash of Titans SNPS 0.00%↑ vs $DSY.PA : The industrial software world has split. Synopsys ($SNPS) is dominating “Silicon to Systems” (microchips + physics), while Dassault Systèmes ($DSY.PA) is building the “Generative Economy” (life sciences + smart cities) 🌐

  • 🤖 The Rise of the “Scientific Agent”: Forget simple Chatbots. Agentic AI doesn’t just guess; it formulated a plan, runs a simulation, analyzes results, and refines its theory autonomously. It’s “Teacherless Learning” governed by the laws of physics 🧬

  • 📉 SaaSmageddon & the Death of the “Seat”: Traditional “per-user” pricing is dying. AI agents don’t sit in chairs! Both companies are pivoting to Consumption-Based Models (tokens and credits), charging for the compute power these AI swarms actually use. 💸

  • 🚢 A Warning from the “Frigate Scandal”: Technology can’t fix organizational chaos. The failure of Germany’s F126 frigates proves that “Garbage In = Garbage Out.” Even the best AI needs a Single Source of Truth and data discipline to succeed. ⚓

  • 📈 The Investment Verdict: Synopsys has the tactical edge with AI chip demand, but Dassault is the long-term play for the “Bio-IT” revolution. Both are currently “on sale” due to market fear—making this a rare entry point for long-term believers. 💎

Source: Own Creation

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Disclaimer: This podcast was produced with AI voices based on original research by Manuel Walz. It does not constitute financial advice.

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