Show Notes
In this episode of Beginner's Guide to AI, we look at one of the most important strategic questions in the AI era: what actually makes a business defensible? The old moat logic still matters, but AI is changing the rules fast. Models are getting easier to copy, open source keeps closing the gap, and companies are being forced to think harder about where real advantage actually lives. We break down the classic business moat framework, then move into the modern AI version. That means proprietary data, distribution, workflow integration, switching costs, and the uncomfortable reality that a strong model alone is not enough. We also explore the Google "We Have No Moat" memo and why it created such a strong reaction across the tech world. If you work in marketing, strategy, startups, or AI, this episode gives you a sharper way to judge what is real and what is just noise.
📧💌📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguide.nl 📧💌📧
About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com
Quotes from the Episode
"Models are getting commoditised at an absolutely alarming speed." "The real moat now is data." "Moats, it turns out, are rarely as solid as they first appear." Hosted on Acast. See acast.com/privacy for more information.
More from A Beginner's Guide to AI
AI agents are becoming more capable, more personal and much harder to ignore. They can use connected apps, prepare work in the background and act on your behalf. So why are Big Tech companies making them look like cheerful little creatures with giant eyes?
🤖 Why AI Transformation Needs Intentionality, Not More Technology
🤖 AI has moved beyond technical teams and innovation labs. At Berlin’s BIG BANG KI Festival, Dietmar Fischer found packed stages, long queues, and business professionals searching for practical ways to implement artificial intelligence.
🤖 AI fluency is becoming a core business skill. But being AI fluent means much more than knowing how to prompt ChatGPT. In this episode of Beginner's Guide to AI, Dietmar Fischer talks with entrepreneur and growth marketer Solomon Thimothy about the transition from using AI as a chatbot to using AI as part of the workforce.
⚡ AI is getting cheaper, faster, and more efficient. So why are data centres preparing to use far more electricity? In this episode of A Beginner’s Guide to AI, Professor GePhardT explores Jevons’ paradox and its uncomfortable lesson for artificial intelligence: using less energy per task does not guarantee that we use less energy overall.