Why 95% of All AI Projects Fail - Boris Scharinger | Podcast #174

🔗 Connect with Boris Scharinger on LinkedIn:   / borisscharinger   Boris Scharinger is an Industrial AI Strategist at Siemens and the author of Industrial AI: From Pilot to Profit. He has spent years running AI strategy across hundreds of use cases inside one of the world's largest industrial companies, and he has watched most of them die somewhere between the proof of concept and the production line. In this episode, we sit down to discuss why 95% of AI proofs of concept never get deployed, the 5-10x cost multiplier between a successful pilot and a shipped solution that almost nobody budgets for, and how to tell a commodity use case apart from a genuinely differentiating one. We also get into the harder questions: why industrial AI does not scale the way consumer AI does, what the "harness" around a model really costs to build, how to convince a CFO to fund foundational data capability before a single use case has proven ROI, and why engineers instinctively resist AI in the first place. If you are running an AI initiative in an industrial or engineering organization, or you are trying to figure out why your pilots keep stalling, you will find this episode useful. Tune in! ONLINE PRESENCE 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram - / jousefmrd 🐦 Twitter - https://x.com/Jousefm2 CONTACT: ———————— If you need help or have any questions or want to collaborate feel free to reach out to me via email: support@jousefmurad.com #IndustrialAI #Siemens #AgenticAI