A Beginner's Guide to AI

Why AI Is Getting a Bad Reputation - Dietmar's Opinion

A Beginner's Guide to AI

Show Notes

AI hype is giving way to AI skepticism, and that shift is already affecting how businesses communicate, hire, and build trust. In this episode, Dietmar Fischer explores why AI is getting a bad reputation, from sloppy AI-generated content to profiling, hacking, and the broader pressure on firms to prove real value beyond automation. The real question is no longer whether AI exists, but where it actually makes sense to use it.

Dietmar argues that companies should stop using AI as a marketing trophy and instead focus on what humans do best. He warns against overloading clients with AI-generated material, emphasizes human services in communication, and explains why AI should not become your unique selling point. The episode also looks at AI slop, surveillance concerns, phishing, and the likely short-term pressure on the job market.

📧💌📧 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 • “The great times for AI are over.” • “The USP is your people, not the AI.” • “Think twice if AI is the solution for your problem.”

Chapters 00:00 AI’s Reputation Problem 01:01 Why AI Slop Is Changing Perception 04:24 Profiling, Surveillance, and Containment Risks 05:48 Hacking, Phishing, and AI Abuse 08:04 Jobs, Juniors, and the Labor Shock 10:12 How Firms Should Respond to AI

If you are wondering where AI adds value and where humans still matter, this episode gives a practical framework for making that call. Hosted on Acast. See acast.com/privacy for more information.

More from A Beginner's Guide to AI

Oct 21, 2026

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?

Oct 19, 2026

🤖 Why AI Transformation Needs Intentionality, Not More Technology

Oct 17, 2026

🤖 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.

Oct 13, 2026

🤖 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.

Oct 11, 2026

⚡ 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.

See all episodes →