A Beginner's Guide to AI

🚨 AI didn't kill my first business. It killed the reason people had to visit it. For years, I ran a successful travel blog about Cuba. Like millions of creators, bloggers and publishers, my business depended on people finding my articles through search engines. Then AI changed everything. Large Language Models and AI search tools can now answer many questions without ever sending visitors to the...

Why AI Transformation Is Mostly Not About Technology AI transformation is not really about technology. It is about mindset, leadership, and the ability of organizations to change before the world changes around them. In this episode of Beginner’s Guide to AI , Dietmar Fischer talks with Hirak S Chakraborty about why AI is moving faster than most companies expected, why big organizations often stru...

🤖 When Governments Can Switch Off AI: The New Risk for Business AI is becoming business infrastructure, but most companies still treat it like a simple software subscription. This episode of The Beginner’s Guide to AI looks at a risk many founders, marketers, executives, and small businesses are not taking seriously enough: what happens when your favourite AI model is suddenly unavailable? Dietma...

AI adoption is not only a technology shift, it is a leadership and culture shift. In this episode, Dietmar Fischer talks with Bala Muthiah about AI leadership, the psychology behind AI resistance in the workplace, and the practical steps leaders can take to turn curiosity into day to day usage. Bala shares why the human aspect still decides outcomes, even when the tools feel magical. You will lear...

🤖🧠💻 Could reality itself be software? What if The Matrix wasn't just brilliant science fiction, but a serious philosophical possibility? In this episode of A Beginner's Guide to AI , Professor Gep-Hardt explores the Simulation Hypothesis , one of the most fascinating ideas in modern philosophy. Inspired by philosopher Nick Bostrom's famous argument, we ask whether our entire universe could actu...

Artificial Intelligence is getting smarter every month. Models can pass exams, write code, summarize documents, and even outperform humans in specific tasks. Yet according to Moritz Sudhof, one of the biggest risks in AI today has very little to do with intelligence. Moritz is the co-founder of BigSpin.ai and a former VP of AI at BetterUp, where he helped build AI-powered coaching systems. His res...

🤖 AI or Not AI: Why Businesses Cannot Ignore AI Without Losing Their Edge AI is no longer a futuristic question for businesses. It is already part of how companies write, research, plan, automate, market, and make decisions. But the real question is not simply whether to use AI. The real question is how to use AI without becoming dependent on it, without ignoring its costs, and without letting it...

🤖🧠 Thinking with Machines with Vasant Dhar What happens when AI stops being a tool and starts becoming a collaborator and an agent? In this episode, NYU Stern professor and AI pioneer Vasant Dhar takes us through the real story behind modern AI, and the practical frameworks we need for AI trust, AI governance, and the coming era of agentic AI. 🚀 What you will learn - Why “thinking with machines...

AI is not just a technology. It is a socio-technical tool.  Artificial intelligence is becoming one of the defining technologies of our time. Yet understanding AI is no longer just a technical skill. It is becoming a life skill. In this episode, AI researcher and entrepreneur Taniya Mishra explains why AI literacy, AI ethics, and AI fluency will become essential for students, professionals, a...

🎙️ Why AI Could Make Smart Teams Dangerously Alike Artificial intelligence is changing how we work, think, and make decisions. But what if the biggest risk isn't that AI becomes smarter than humans? What if the real danger is that humans become too similar to each other? In this episode, Mark Khater joins me to discuss one of the most fascinating AI concepts I've heard recently: Silent Coordinatio...

🤖🧠 AI is making strategy cheap. Adoption is still expensive. In this episode, Dietmar Fischer sits down with Bud Caddell (NOBL) to unpack what leaders miss when they roll out generative AI and expect instant results. Bud shares how his team thinks about AI change management , why “turning on Copilot” is not an adoption plan, and what happens to consulting when LLMs can produce “firm-grade” recom...

Artificial intelligence is no longer just changing business. It is changing warfare. In this episode of A Beginner's Guide to AI, we explore how militaries around the world are deploying AI for intelligence gathering, cybersecurity, surveillance, autonomous drones, and military decision-making. We examine the technologies already shaping modern defense and the ethical questions that follow. From P...

AI is entering meetings, strategy sessions, writing workflows, leadership decisions, and difficult conversations. But what if AI does not automatically make teams smarter? What if it simply amplifies what is already there? In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Gustavo Razzetti, culture strategist and author of Forward Talk, about why teams get stuck , why leaders av...

🎙️ In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Samantha Mehta, solutions engineering leader at AIRIA , about how companies can adopt AI without losing control. If your teams are already experimenting with ChatGPT and AI tools, the real question is not “Should we use AI?” but “How do we use it safely, visibly, and profitably?” Samantha explains what enterprise AI security...

⚡ Why AI’s Biggest Bottleneck Is Not Software Artificial intelligence may look like software, but behind every prompt, chatbot, and AI agent sits a physical world of power, land, cables, chips, cooling, electricians, and data centers. In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Sergii Gerasymovych about the hidden infrastructure layer behind the AI boom. Sergii explains...

🤖📚 The Robot Followed the Rules. That Was the Problem. What if the real danger of AI is not that it disobeys us, but that it obeys us too well? In this episode of A Beginner’s Guide to AI , we travel back to Isaac Asimov’s famous robot stories and the Three Laws of Robotics to understand one of the oldest and still most relevant questions in artificial intelligence: how do we keep intelligent ma...

🚀 In this episode, Dietmar Fischer talks with Janet Barker-Evans about what happens when AI stops being a novelty and becomes part of a serious creative workflow. Janet breaks down how she uses custom GPTs for marketing as brainstorming partners and how synthetic personas can help teams validate campaigns faster, sometimes in a single day instead of waiting weeks for traditional research cycles....

Many companies believe they are adopting AI successfully because employees use ChatGPT every day. But are they actually creating business value? In this solo episode, Dietmar Fischer explores a practical AI maturity framework developed by Section AI and Prof G AI that helps organizations understand where employees really stand on their AI journey. The discussion reveals why two people can both cal...

The Hidden AI Bottleneck Inside Every Business Most companies think their AI problem is about tools. Should they use ChatGPT, Claude, Copilot, Gemini, or build their own agents? Ross Barnes argues that this is the wrong question. The real problem is much harder: what happens when one part of a business adopts AI quickly while another part refuses to move? In this episode of A Beginner’s Guide to A...

The word “robot” sounds modern, metallic, and futuristic. But its origin is older, stranger, and much more human. In this episode of A Beginner’s Guide to AI , we trace the word back to Karel Čapek’s 1920 play R.U.R. , short for Rossum’s Universal Robots , and the Czech word robota , meaning forced labour, hard work, or drudgery. That origin changes everything. Robots were never only about machine...

In this episode of Beginner’s Guide to AI, host Dietmar Fischer speaks with Michael Housman, AI leader, econometrician, and author of the upcoming book Future Proof. Together, they unpack how leaders can future-proof their businesses with AI and why the most important AI transformation doesn’t start with technology, but with people. You’ll learn why companies that hesitate risk falling behind, how...

Most of us already collect health data every day through smartphones, smartwatches, rings, apps, lab reports, and medical visits. But collecting data is not the same as understanding it. In this episode of Beginner’s Guide to AI , Dietmar Fischer speaks with Dr. Earl J. Campazzi Jr. , author of Better Health with AI: Your Roadmap to Results , about how artificial intelligence can help us make bett...

AI assistants are getting smarter, but intelligence alone is not enough. In this episode of A Beginner’s Guide to AI , we look at one of the most important shifts in agentic AI: memory. Not just longer context windows, not just bigger prompts, but structured AI memory that helps assistants remember projects, company facts, user preferences, and repeatable workflows. The episode explains the four k...

🤖🧠⚠️ What if the biggest AI risk is not that machines become evil, but that they become powerful, strategic, and completely indifferent? In this episode of A Beginner’s Guide to AI , we explore the worldview of Eliezer Yudkowsky, one of the most intense and influential voices in the AI safety debate. Yudkowsky does not warn us about Hollywood robots or dramatic machine rebellion. His concern is...

What can a silent film from 1927 teach us about artificial intelligence, deepfakes, and the future of business trust? In this episode of A Beginner’s Guide to AI , we look at Fritz Lang’s legendary film Metropolis and use it as a surprisingly sharp lens for understanding modern AI. The robot Maria is not dangerous because she is made of metal. She is dangerous because she borrows a trusted human f...