A Beginner's Guide to AI

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Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguideto.ai

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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 supervision? How much control do we really have once AI systems can touch other systems, scan for information, and operate with more independence than expected?

Dietmar conne...

AI Leadership for the Agent Era: Building Hybrid Organizations with Dominic von Proeck

AI 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 expect, and why the most important capability is not technical wizardry but leadership: clear delegation, strong feedback loops, and critical thinking about every AI output.

Dominic shares how...

🤖 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 approach that learns patterns from vast amounts of data the way a human brain absorbs experience.

🧠 We explain why symbolic AI, despite decades of promise in fields like medical diagnosis, ultimately hit a wall w...

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...

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...

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 usual debate about whether AI will save humanity or destroy it. The more urgent question is what humans are becoming as intelligent systems participate in our judgment, creativity, relationships, an...

Why Human Oversight in AI Isn’t Enough

What 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 score, recommendation or warning can feel objective, even when the underlying data is incomplete or the model is wrong.

In this episode of A Beginner’s Guide to AI, we examine why peop...

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 Fischer shares a real example from a university startup. A researcher was developing an AI-supported process for qualitative interview analysis using retrieval-augmented generation, Claude, and a sequence of approximately 70 prompts.

The research was valuable. The bill was al...

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 founders, executives, creators, and knowledge workers.

Together they discuss how AI is transforming software development, why voice is becoming the new interface, how autonomous agents...

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 unsure whether brands are acting in their best interest, employees are unsure whether AI will help or replace them, and leaders are under pressure to prove AI ROI before they have b...

🎙️ The Hidden Cost of AI Productivity | Why AI Literacy Will Become Your Biggest Competitive Advantage

Artificial 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 most overlooked challenges of the AI revolution: AI literacy. Are we using AI to become better thinkers, or are we slowly outsourcing our ability to think critically?

🚨 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 original source. That doesn't just change search. It changes the entire business model of the internet.

In this solo episode of Beginner's Guide to...

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 struggle to adapt, and why the real challenge is not access to tools but the willingness to rethink how work gets done.

Hirak brings the perspective of an investor, bo...

🤖 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?

Dietmar Fischer explores the growing problem of AI model dependency, LLM vendor lock-in, provider outages, government intervention, and the hidden fragility inside many AI workflows. The starting point is simple but uncom...

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 how leaders can reduce fear, build confidence, and guide teams through real AI upskilling strategy instead of one off trainings that never translate into workflows...

🤖🧠💻 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 an unimaginably advanced computer simulation.

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Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter:

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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 research focuses on a surprising problem: most AI failures are not obvious. In fact, BigSpin's research found that 79% of AI failures are invisible to users. The AI appears helpful, sounds confident...

🤖 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 weaken human judgment.

In this episode of Beginner’s Guide to AI, Dietmar Fischer takes a personal and critical look at the q...

🤖🧠 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” is a bigger idea than “thinking machines”

- How the automation frontier separates low-risk automation from h...

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 leaders alike.

From founding SureStart in 2020 before the AI boom to helping schools build AI curricula and policies, Taniya has been preparing the next generation for an AI-driven f...

🎙️ 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 Coordination Failure.

As more people use the same AI systems, access the same information, and reach the same conclusions, organizations may unknowingly lose diversity of th...

🤖🧠 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” recommendations in seconds.

You will also hear the story behind ConsultingSlop.com, a strategy generator that models the reasoning styles of major consulting firms and outputs polished advice instantly. What started a...

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 Project Maven's AI-powered analysis of drone footage to Anthropic's public dispute with the Pentagon over AI guardrails, this episode dives deep into one of the most important and controversial applications of artificial intelligence.

You'll...

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 avoid the conversations that matter, and why agreeable AI can weaken critical thinking inside organizations.

Gustavo explains the three patterns that keep teams trapped: blame, avoidance, and groupthink. He also shows how AI...

🎙️ 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 looks like in real life, including AI guardrails that can audit, block, redact, and replace sensitive data. She also unpacks AI governance and AI observability, because you cannot manage what you cannot see. A k...

⚡ 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 how his journey from linguistics to crypto mining led him into data centers, and why the same world of compute, energy, and operations is now becoming central to artificial intelligence.

We tal...

🤖📚 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 machines safe, useful, and accountable when they start acting in the real world?

Asimov’s Three Laws sound b...

🚀 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 topics today include hands-on AI training, multi-model workflows (ChatGPT, Gemini, Claude, Copilot), and why AI fear often comes down to power and control.

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Tune in to...

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 themselves AI beginners while having completely different levels of experience and business impact. Dietmar breaks down the four stages of AI maturity and explains why organizations need more than AI users. They...

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 AI, Dietmar Fischer speaks with Ross Barnes from Galahad Consulting about the hidden AI bottleneck inside modern organisations. Ross explains why AI adoption is not ju...

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. They were always about work. Who does it? Who controls it? Who benefits from it? And what happens when humans build artificial workers to take over tasks?

Today...

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 even small AI wins can unlock massive productivity, and why AI literacy programs are becoming essential across organizations. Michael explains how AI can act as a strategic thought partner for executives, how to ide...

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 use of personal health data.

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We talk about AI in healthcare, wearable health data, smartwatch health tracking, heart rate variability, sleep tracking, doc...

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 memory types behind modern AI agents: working memory, episodic memory, semantic memory, and procedural memory. Working memory helps an AI focus on the current task. Episodic memory helps it...

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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 sharper: humanity may build artificial intelligence smarter than humans before we know how to control it.

This episode explains AI alignment, the control problem, superintelli...

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 face.

And that is exactly why today’s AI-generated voices, synthetic avatars, and deepfake videos matter.

This episode explores how AI can im...

Humayun Sheikh on the Agentic Web, Trust, and the Agentic Economy

Humayun 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 real AI agent, why autonomy matters, and how multi-agent systems unlock an agentic economy. We also tackle the marketer’s question: what happens to SEO when the buyer becomes an...

🧠🤖 Stop Using AI Just for Content. Start Using It for Discovery

Most 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 is becoming a tool for discovery, not just automation.

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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 countries, Sam shares how AI agents improve productivity, increase job satisfaction, and fundamentally reshape how companies work. From Chevron’s proactive exploration tools to the rise of autonomous knowledge assistants, we explore the surprising ways enterprise AI adop...

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 recognize patterns, organize information, support better questions, and help leaders think more deeply. But it cannot replace the human parts of leadership: trust, intention, values, emotional intelligence, purpose, and responsibility.