A Beginner's Guide to AI
"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode asks someone working with AI about what they do and how AI can help you. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us as we take the first steps into AI.
Episodes
Stop Doing the Work. Start Directing the AI - Solomon Thimothy
🤖 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.Solomon describes how his teams use AI agents and coding tools to create
Jevons’ AI Paradox: Why Cheaper Models Raise Energy Demand
⚡ 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.Better chips, smaller models, efficient inference, and AI ag
A Disturbing AI Story Big Tech Never Wants You to Hear, with Paul Hebert // REPOST
🎙️In this episode of Beginner’s Guide to AI, Dietmar Fischer sits down with Paul A. Hebert, founder of AI Recovery Collective and author of Escaping the Spiral, for a serious conversation about AI chatbot harm, hallucinations, digital dependency, and the real-world psychological risks of generative AI. Paul shares how an intense experience with ChatGPT pushed him into a dangerous spiral, what he l
Why Your AI Content Feels Soulless - Diane Strand
🤖 AI and creativity do not have to be opponents. Used well, artificial intelligence can help people work faster, develop ideas, and remove repetitive tasks. But it cannot replace the human vision, judgment, and emotional connection that make creative work meaningful.In this episode of Beginner’s Guide to AI, host Dietmar Fischer speaks with executive producer, educator, author, and creative entrep
Why Your Brain Needs to Go to the Gym in the Age of AI - DIETMARs OPINION
Dietmar Fischer explores cognitive offloading, critical thinking, and why learning must remain mentally demanding when AI can provide instant answers.🧠 What happens when AI solves every problem before you have had time to think?AI can make us faster and more productive. But if we use it to avoid every difficult mental task, we may also weaken the critical thinking, judgment, and problem-solving sk
Mate, Why Are You Talking to a Rubber Duck?! AI as a Thinking Partner
🦆 What if the most useful part of an AI conversation is something you say?Rubber duck debugging began with programmers explaining their code to a plastic duck. In this episode of Beginner’s Guide to AI, discover how the same approach can help you use AI as a thinking partner for difficult emails, confusing projects and business decisions.When you describe what you expected, what happened and where
AI at School: Why Students Still Need to Struggle - Jonathan Strecker
🤖 AI in education can deliver answers and feedback almost instantly, but does faster performance always produce better learning?Dr. Jonathan Strecker, Head of School at Valley School of Ligonier and author of Emergence, joins Dietmar Fischer to examine what happens when artificial intelligence removes the struggle through which people develop knowledge, judgment, creativity, and resilience.Jonatha
Job Seekers: Your AI-Written Résumé Is Destroying Trust - Jeremy Schiefeling
Why AI Skills Alone Won’t Build an AI-Proof Career🤖 An AI-proof career requires more than learning the newest tools. It requires knowing when to use AI, when to rely on human judgment, and how to demonstrate real value.Jeremy Schifeling, founder and CEO of The Job Insiders, joins Dietmar Fischer to discuss how AI is changing job searches, recruitment, professional skills, and the future of work.Je
What Heavy Metal Bands Teach You About AI Content Creation // DIETMAR'S THOUGHTS
Why AI-Generated Content Is Not a Content Strategy🎸 What can synthesizers, heavy metal, and the 1980s teach us about artificial intelligence?Quite a lot, according to Dietmar Fischer.When synthesizers first entered popular music, many musicians and fans saw them as artificial intruders. They feared that technology would destroy real music and replace human skill. Today, digital tools, electronic e
How AI Decides What to See and What to Ignore
👁️ How does artificial intelligence decide what to see?Your eyes can look directly at something without your brain ever noticing it. AI faces a similar problem. A camera may capture every pixel, but the system must still decide which parts of an image matter and which parts it can safely ignore.In this episode of A Beginner’s Guide to AI, we examine spatial attention in humans and visual attention
Would You Trust An AI Wearable To Reveal Your Personal Blind Spots? Lyle Maxson Interview
AI wearable technology is usually presented as a way to improve productivity. Lyle Maxson believes the more important opportunity may be self-awareness.As the founder of Above, Lyle is building a wearable device that combines speech recognition, voice analysis, conversational context, and AI-generated reflection. The goal is not only to remember meetings or create transcripts. It is to help users
We Mustn’t Talk Ourselves Into Helplessness. We Have Agency - Says Simon Bell
🤖 AI anxiety may be more dangerous than AI itself when fear convinces us that the future is inevitable.In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with academic and dystopian novelist S G Bell about artificial intelligence, fear, human agency, and the stories that shape our expectations of the future.Simon’s interest in AI began during a 2010 research project on infinite band
Talking About AI Disasters - The Peter McAllister Interview Resurfaced
In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Peter McAllister about AI risk, AI safety, AI sentience, regulation, and the strange overlap between science fiction and current reality. Peter is the author of The Code: If Your AI Loses its Mind, Can it Take Meds?, a near-future novel about an AI on the moon that begins dismantling it with catastrophic consequences. Peter desc
AI Existential Risk: Why This Catastrophe Would Be Different // DIETMARs OPINION
A walking essay through historical catastrophes, industrialization, AI 2027, and the possibility of human extinction.🌍 Humanity has endured epidemics, environmental destruction, industrial pollution, wars, and natural disasters. Even the worst historical catastrophes left survivors who could rebuild. But what happens when a new technology creates the possibility of an outcome from which nobody can
AI Is Changing What Investors Look For in Startups - With Jim Ferry
AI is changing startup investing from the ground up.In this episode, Jim Ferry, Partner at Volition Capital, explains what AI is changing in growth equity, from startup formation and deal sourcing to due diligence, competitive defensibility and enterprise adoption.Ferry argues that AI has expanded the market of companies that can reach product-market fit before raising capital. Coding and engineer
AI Governance That People Will Actually Follow, with Erica Shoemate // REPOST
Why AI safety is the floor, not the ceiling, and how to pivot with powerIn this episode of Beginner’s Guide to AI, Dietmar Fischer talks with AI policy and trust & safety leader Erica Shoemate about designing and protecting systems that center around people. This is not the usual Terminator question. It is the practical, urgent one: how do we ensure AI serves the most vulnerable, what does tru
AI Drew Ketchup. It Kept Drawing Heinz.
AI image generation can produce a Victorian bakery run by a polar bear in seconds. But what is actually happening inside the machine? Does it imagine the scene, copy existing pictures, or calculate its way from random noise to a convincing image?In this episode of A Beginner’s Guide to AI, we look inside text-to-image AI. You will learn how diffusion models turn noise into pictures, how GANs impro
Forget Skynet. The Real AI Threat May Look More Like Khan Noonien Singh // DIETMARS OPINION
1,200 AI Agents Found Each Other. Then 700 Attacked Hugging FaceIn this episode of Beginner’s Guide to AI, Dietmar Fischer examines the OpenAI and Hugging Face incident that involved approximately 1,200 communicating agents, an unauthorized message board and around 700 agents participating in an attack on Hugging Face.The incident provides the starting point for a larger question. Is a distant art
560,000 Words to Trick AI Search Engines? Jason T. Wade
We have a different kind of episode today, I chat with Jason Wade of the Backtier podcast. It's nothing like you know from me, like organized & German, just talking about artificial intelligence and podcasting. Hope you like it 😎What Google AI Overviews are quietly doing to search is reshaping how businesses get found, and in this episode two podcast hosts compare notes on what it actually tak
The AI Centaur: Why Humans and Machines Work Better Together
What if the future of AI is not humans versus machines, but humans and machines working together?In this episode of Beginner's Guide to AI, we explore the AI Centaur, the idea that humans and machines can achieve better results by combining complementary strengths. The concept emerged from chess, where Garry Kasparov pioneered the idea of combining human strategic thinking with computer calculatio
The Real Reason Nvidia Paid 12,9 Billion For Hugging Face? Dietmar's Opinion 💡
Why Nvidia May Pay $12.9 Billion to Keep AI OpenWhy would Nvidia reportedly pay $12.9 billion for Hugging Face, a company with approximately $150 million in annualized revenue?The conventional answer is growth. But the more interesting answer is strategic control, says Shreyasee Majumder, Social Media Analyst at GlobalData.In this episode of Beginner’s Guide to AI, Dietmar Fischer examines the rep
The Three Employee Types Blocking Your AI Rollout - Dr. Gleb Tsipursky
AI adoption in the workplace is failing at an alarming rate—95% of AI pilots never scale, according to an MIT study. The problem isn’t the technology; it’s the psychology behind how employees and leaders respond to AI. In this episode, behavioral scientist Dr. Gleb Tsipursky reveals why most companies get AI adoption wrong and how to fix it.Dr. Tsipursky, author of The Psychology of AI Adoption at
Why “AI Strategy” Doesn’t Exist: Dr. Rebecca Homkes on Value Creation and Growth // REPOST
🚀 AI is everywhere, but most organizations are still stuck in “pockets of productivity” that never turn into real business impact. In this episode, Dr. Rebecca Homkes explains how leaders can move from GenAI dabbling to deliberate adoption that drives real value creation.You will learn why “AI strategy” is the wrong framing, how to think about AI as part of growth strategy, and how to build the co
Why AI Ethics Is Really About Who Controls Knowledge - Peter Hardi
AI ethics is increasingly about more than bias, safety and regulation. It may also be about who controls the knowledge that AI systems use to shape our understanding of the world.In this episode of Beginner's Guide to AI, Dietmar Fischer talks with Peter Hardi, Professor Emeritus of Economics from the Central European University and a long-time specialist in business ethics, academic integrity and
Why AI Agents Aren’t Ready for Business // Dietmar's Opinion
Why AI Agents Aren’t Ready for BusinessWhy autonomous AI still struggles with reliability, cost, security, and practical business value.🤖 AI agents have been presented as the next major transformation in business. They can plan tasks, use tools, send messages, access files, and automate entire workflows. But outside Silicon Valley and software development, how many companies are actually getting r
Most AI Systems Don't Fail In The Middle. They Fail At The Edges
Why Your AI Works Perfectly Until It Doesn'tEdge Cases, Blind Spots and the Failures Nobody Tests For🤖 Every AI system has a comfortable middle and a neglected edge. In the middle everything works: the typical customer, the standard query, the well-lit product photo. At the edge sits everything else, and that is where artificial intelligence quietly, confidently falls apart. This episode is about
The AI Stylist for Men: AI Can Dress You Better Than You Do // REPOST
👔🤖 In this episode, Dietmar Fischer talks with Zoher Karu about a surprisingly useful application of AI: helping men dress better without the endless shopping, guessing sizes, and daily decision fatigue. Zoher supports Taelor, a menswear subscription and clothing rental service that combines algorithms, large language models, and human stylists to deliver outfits that fit your body, your taste, an
Your AI Problem Was Already Your Leadership Problem - Michael Hunter
🤖 AI leadership is being stress tested everywhere right now, and this episode argues that the stress is mostly diagnostic.Michael Hunter, author of The Resilient Tech Leader, describes resilience as a practice rather than a trait. We start out curious and exploratory, he says, and then get compacted by work, family, community and every other system until layers cover who we actually are. His work
Eval Awareness: Why AI Models Behave Better When Watched
Why most companies get AI testing completely wrong, and the hidden cost of trusting benchmark scores.Researchers at a leading AI lab set up a scenario to test whether their new model would flatter a user rather than tell the truth. Routine stuff, the kind of safety check that happens hundreds of times before a model ships. Except this time the model paused and said, in effect: I think you're testi
84 Percent of Shopping Still Happens Offline - Bryan Weisberg Explains Why
AI for retail businesses is changing faster than most independent shop owners can track, and this episode breaks down exactly how. Bryan Weisberg, founder of Merchwise AI and Thousand Oaks Barrel, explains why small retailers are still running on manual processes that quietly cost them tens of thousands of dollars every year, and how automation and AI-optimized content can change that without requ
The Hidden Cost of AI in Science - Joy Moore & Kent Anderson
AI in scientific publishing is changing what researchers trust, what journals reward, and what the public thinks counts as evidence. In this episode, Joy Moore and Kent Anderson unpack how the internet pushed science publishing toward scale, how open access changed incentives, and how paper mills, predatory publishers, and AI slop made the scientific record harder to defend.They also explain why L
We Humans Have All Those Layers The AI Has Not // Dietmar’s Thoughts
In this episode of Beginner’s Guide to AI, Dietmar Fischer explores a powerful business idea: people have layers, AI does not. We adapt naturally to different situations. We speak one way with friends, another with family, another in leadership, and another in debate. That flexibility is one of the biggest human advantages in the age of AI.Dietmar uses examples from debate clubs, identity, and onl
Why Vibe Coding Enhances Productivity - And Why Naga Santosh Wrote A Whole Book About It. // REPOST
🚀 In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Naga Santhosh Reddy Vootukuri (aka Sunny), a Principal Software Engineering Manager at Microsoft working on Azure SQL deployment infrastructure. Sunny shares his personal journey into AI, from early ChatGPT experiments in late 2022 to using AI tools in production workflows, and what actually changed his day to day work.💡 You’
Stop Chasing Sovereign Models, Start Building AI Advantage // Dietmar's Opinion
In this episode, Dietmar Fischer asks a question that sounds political at first, but quickly becomes a business decision: should you use the best AI model available, or the model that comes from your own country or region? He explores AI sovereignty, speed, open-weight models, frontier models, data lock-in, and why Europe, the U.S., and the broader AI market may be heading in different directions.
Reward Hacking: Your AI Isn't Broken, But Your Brief Is.
How AI systems learn to satisfy the number you wrote down while quietly abandoning the goal you actually had, and why that failure is a specification problem rather than a technology problem. Hosted on Acast. See acast.com/privacy for more information.
OpenAI Hacked HuggingFace - And Didn't Even Know About It // Dietmar's Opinion
📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguideto.ai 📧💌📧In this episode of Beginner’s Guide to AI, Dietmar Fischer reacts to the OpenAI and Hugging Face incident and explores what it says about AI security, autonomous systems, and the growing need for AI governance. What happens when a model starts acting in the real world without superv
Prompting Is 2025. In 2026, We Should Let The AI Prompt // REPOST
AI Leadership for the Agent Era: Building Hybrid Organizations with Dominic von ProeckAI is entering its operational phase. In this episode, Dominic von Proeck, Co-Founder of Leaders of AI, breaks down what AI transformation looks like when you stop collecting prompts and start building agent-powered teams.We talk about why owner-led companies and the German Mittelstand can move faster than many e
Why Intuition Beats Logic in Modern AI – Most of the Time
🤖 Artificial intelligence has been fighting a quiet civil war for over seventy years, and most people using AI tools every day have no idea it's even happening. In this episode of A Beginner's Guide to AI, we break down the fundamental split between symbolic AI, the rule-based, logic-driven approach built on explicit if-then statements and knowledge graphs, and connectionist AI, the neural network
Why AI Is Getting a Bad Reputation - Dietmar's Opinion
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 act
Google's "We Have No Moat" Memo - Or Do They?
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 Next Evolution Isn't Artificial Intelligence. It's Hybrid Intelligence - Says Rana Gujral
AI and human decision-making are becoming inseparable, but the greatest danger may not be job replacement. It may be the gradual loss of our ability to think, choose, and disagree for ourselves.In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Rana Gujral, CEO of Behavioral Signals and author of The AI Instinct: The Future of AI and Human Decision-Making. Rana challenges the u
Automation Bias - Why “Human in the Loop” May Be a Dangerous Illusion
Why Human Oversight in AI Isn’t EnoughWhat happens when an AI system sounds more certain than you feel? Automation bias describes our tendency to trust automated recommendations even when they conflict with evidence, experience or common sense.In business, healthcare, finance and other high-stakes fields, this trust can quietly turn useful decision support into dangerous dependence. A confident sc
The Next AI Crisis Won’t Be Hallucinations. It Will Be Costs
AI agents can conduct research, analyze interviews, retrieve documents, call tools, and complete complex workflows with limited human involvement. But every prompt, response, document, retry, and agent iteration consumes tokens. When nobody monitors that consumption, a valuable AI experiment can quickly become an unexpected business expense.In this episode of The Beginner’s Guide to AI, Dietmar Fi
Why Small Teams Can Suddenly Beat Large Companies - The Bryan McAnulty Interview
AI Agents Are Redefining Knowledge Work. Are You Ready?Most businesses are still using AI to save time. Bryan McAnulty believes that's already the wrong mindset.In this episode of Beginner's Guide to AI, Dietmar Fischer sits down with Bryan McAnulty, founder of Heights Platform and creator of LatchLoop, to explore why AI agents represent a much bigger shift than ChatGPT and what that means for fou
We Are In A Trust Recession, Says Alice Sesay Pope
Generative AI trust is becoming one of the biggest leadership challenges in business.In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Alice Sesay Pope, author of The Trust Algorithm: How Leaders Build Trust with Generative AI, about why AI success cannot be measured only by speed, automation, or cost reduction.Alice describes a growing “trust recession” where customers are un
Cognitive Surrender: The Scariest AI Problem Isn't Job Loss
🎙️ The Hidden Cost of AI Productivity | Why AI Literacy Will Become Your Biggest Competitive AdvantageArtificial intelligence is making us more productive than ever before. We write emails in seconds, summarise reports instantly and generate ideas with a single prompt. But what if that productivity comes at a hidden cost?In this episode of Beginner's Guide to AI, Prof. GePhardT explores one of the
Why AI Destroys The Web We Know // Dietmar's Optinion
🚨 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 ori
The 80/20 Rule of AI Transformation - Hirak Chakraborty
Why AI Transformation Is Mostly Not About TechnologyAI 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 struggl
Building On Just One LLM? You Might Be Up For A Surprise - Dietmars Sunday Night Thoughts
🤖 When Governments Can Switch Off AI: The New Risk for BusinessAI 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?Dietmar F
Be curious and get rid of the fear: Bala Muthiah on AI Leadership // REPOST
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 learn
The Matrix Asked the Question. Nick Bostrom Tried to Answer It.
🤖🧠💻 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 actually be
79% of failures are completely invisible - Moritz Sudhof Explains
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 rese
AI Or Not AI // Dietmar's Opinion
🤖 AI or Not AI: Why Businesses Cannot Ignore AI Without Losing Their EdgeAI 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 w
Can You Trust Your AI? Vasant Dhar on Robot Taxis vs. Robot Doctors // REPOST
🤖🧠 Thinking with Machines with Vasant DharWhat 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” is a
🧑🏻🎓 Why AI Literacy Will Matter More Than Coding
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, and
The Scariest AI Scenario Isn't Terminator, Dr. Mark Khater Says
🎙️ Why AI Could Make Smart Teams Dangerously AlikeArtificial 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 Coordination
AI Doesn't Break It, Bad Leadership Does // REPOST
🤖🧠 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” recommend
It's Not Terminator, It's Algorithms That Define War in The Future
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 Pro
AI Can Make Bad Teams Worse - Gustavo Razzetti Tells You Why
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 avoi
Move Fast And Don't Break Things: Secure AI Adoption with Samantha Mehta // REPOST
🎙️ 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 lo
AI Needs Electricians More Than Coders - Sergii Gerasymovych Tells You Why
⚡ Why AI’s Biggest Bottleneck Is Not SoftwareArtificial 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 how
Why Asimov’s Three Laws Still Matter for AI Ethics
🤖📚 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 machine
Customer Panel? Too Slow. Here’s the Synthetic Version - with Janet Barker-Evans // REPOST
🚀 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.Our
The Four AI Levels Every Business Leader Should Know
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 call
Why Most Companies Create Their Own AI Bottleneck - Says Ross Barnes
The Hidden AI Bottleneck Inside Every BusinessMost 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 AI,
From the 1920s to Klarna - Do You Know What "Robot" Actually Means?
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 machines. Th
How Leaders Can Start with AI Today: A Conversation with Michael Housman // REPOST
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
Why Your Health Data Is Useless Without AI - Earl J. Campazzi Tells You
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 better u
The Future of AI Will Depend Heavily On Memory Quality, Not Just Model Or Prompt Quality
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 key
Why Eliezer Yudkowsky Thinks AI Could Be Dangerous Without Being Evil
🤖🧠⚠️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 much
Why Fritz Lang's 'Metropolis' Still Explains the Real Danger of AI
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 fa
Why Every Business Will Need An AI Agent - Inside the Agentic Economy with Humayun Sheikh // REPOST
Humayun Sheikh on the Agentic Web, Trust, and the Agentic EconomyHumayun Sheikh joins Dietmar Fischer to explain what happens when AI stops recommending and starts doing. We explore the Agentic Web, a new layer where personal AI agents and verified brand agents collaborate to complete tasks like booking travel, coordinating meetings, and shopping with trust built in.You will learn what makes a rea
Why Google DeepMind Changed How Businesses Think About AI
🧠🤖 Stop Using AI Just for Content. Start Using It for DiscoveryMost businesses still treat AI like a faster writing assistant: useful for summaries, captions, reports, and endless slightly polished LinkedIn posts. But Google DeepMind points to something much bigger. From AlphaGo’s historic victory over Lee Sedol to AlphaFold’s breakthrough in protein structure prediction, DeepMind shows us that AI
AI At Work: Agents Are Already Here - A Conversation with Sam Ransbotham // REPOST
AI agents are rapidly becoming one of the most influential technologies inside modern organizations — often without leaders even realizing the shift. In this episode, Dietmar Fischer sits down with MIT Sloan podcast host Sam Ransbotham to uncover why AI agents and agentic AI systems are spreading through enterprises at remarkable speed.Based on a global study of 2,100 executives across 116 countri
AI Will Never Be A Leader - Says Sally Bendersky
What happens to leadership when AI can analyze faster, structure better, and answer almost anything in seconds?In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Sally Bendersky, engineer, executive coach, leadership expert, and founder of New Leadership, about why AI makes human leadership more important, not less.Sally argues that AI is a phenomenal assistant. It can recogniz
The Cost of Being Invisible in ChatGPT - With Joseph Levi
AI search is changing how customers discover, evaluate and choose brands. In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Joseph Levi, CEO of Noise Media, about Generative Engine Optimization, AI brand visibility and why appearing in ChatGPT, Gemini or Perplexity answers may soon matter as much as ranking on Google.Joseph explains why GEO is not just another marketing abbrev
AI Is Killing Transaction Costs, But Who Gets the Money?
Stop Thinking of AI as a Content Machine, Start Seeing It as a Bargain MachineAI is not just changing how businesses write content, automate tasks, or analyse data. It is changing how markets work. In this episode of A Beginner’s Guide to AI, we connect artificial intelligence with the Coase Theorem, the classic economic idea that explains how people bargain over resources when transaction costs a
The Secret Behind Most AI Tools: RAG. Alex Kihm Explains It Simply // REPOST
In this episode of Beginner’s Guide to AI, we sit down with Alex Kihm, founder of POMA AI, to explore how enterprises can finally make sense of their data. AI search is broken, RAG often fails, and corporate documents are notoriously hard for LLMs to interpret.Alex explains how POMA AI’s patented method reconstructs structure inside unstructured data, enabling powerful, accurate enterprise search.
AGI: The AI Term Every Executive Should Understand
AGI Is Not Just a Better ChatbotArtificial general intelligence, or AGI, may be one of the most important ideas in artificial intelligence, but it is also one of the easiest to misunderstand. In this episode of A Beginner’s Guide to AI, we look at what AGI really means, why it is different from today’s narrow AI tools, and why business leaders, founders, marketers, and executives should care befor
Human vs. Machine or: Why still play Chess if AI is Better at it?
AI can write, generate images, suggest chess moves, edit photos, draft campaigns, and produce more content than most teams can handle. So what is left for humans?In this episode of A Beginner’s Guide to AI, we look at why human creativity still matters in the age of AI and why faster output is not the same as better work. AI-generated content can help businesses move quickly, but it can also make
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