AI Needs Electricians More Than Coders - Sergii Gerasymovych Tells You Why

AI Or Not AI // Dietmar's Opinion

🤖 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 question: AI or not AI? The answer is not a naive “yes” and not a nostalgic “no.” AI is a powerful tool, and businesses that ignore it may end up like organizations that ignored computers, printing presses, or other major technologies. But using AI blindly creates its own risks. The episode looks at the environmental impact of AI, including energy and water use, the possible effects of AI on jobs and inequality, and the political consequences of large-scale unemployment. It also explores why AI ethics cannot be reduced to simple slogans. Bias, discrimination, monopolies, and concentration of power are real problems, but banning AI is not a serious business strategy. A central theme is AI deskilling. If people ask AI everything, they may slowly lose the ability to think, evaluate, and decide for themselves. For business leaders, marketers, and founders, this is not a minor issue. AI can improve productivity, but it can also hide errors, produce convincing nonsense, and make teams less critical if they stop questioning the output. Key highlights from the episode: 🤖 Why businesses cannot simply ignore AI ⚡ The ecological cost of AI and why sustainable AI matters 👥 How AI may affect jobs, inequality, and reskilling 🧠 Why AI literacy and critical thinking are now business skills ⚠️ The risk of AI deskilling and hidden AI errors 🏢 Why responsible AI adoption matters for companies and SMEs 📚 What history teaches us about refusing important technologies 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ [https://beginnersguide.nl/] 📧💌📧 Quotes from the Episode: * “There’s no way around AI, so you have to use AI.” * “You should not ask AI everything.” * “Don’t stop thinking.” Chapters: 00:00 AI or Not AI: The Core Question 02:17 The Environmental Cost of AI 04:05 Jobs, Inequality, and Political Risk 06:25 Why Businesses Cannot Simply Refuse AI 08:48 Deskilling, Hidden Errors, and Human Judgment 11:56 Technology Adoption and the China Lesson 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 [https://argoberlin.com/] Music credit: "Modern Situations" by Unicorn Heads ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Can You Trust Your AI? Vasant Dhar on Robot Taxis vs. Robot Doctors // REPOST

🤖🧠 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 high-stakes human control - Why healthcare has lots of data but still struggles to make good decisions - Why mental health is a dangerous place to outsource empathy to machines - What edge cases in AI mean and why they matter for self-driving cars - How AI agents change the governance conversation, from obligations to restrictions to rights 📌 Key highlights - A practical definition of trust in AI based on error rates and consequences - AI in healthcare data: turning medical trails into usable decision intelligence - The future of work: AI as an amplifier, not a substitute, unless you let it become a crutch - Governance questions that no one gets to avoid once agents can act in the world 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ [https://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 [https://argoberlin.com] Quotes from the Episode 💬 “Trust depends on how often a machine makes mistakes and the consequences of those mistakes.” “In physical health, I’m very optimistic. In mental health, not so.” “It’ll likely lead to a bifurcation of humanity… skills get amplified… or people rely on the machine as a crutch.” Chapters ⏱️ 00:00 Vasant Dhar’s origin story in AI and early expert systems 05:08 A Brave New World warning and why optimism still needs guardrails 07:26 AI in healthcare vs mental health and why feelings change the rules 12:37 The trust heat map and the automation frontier in real life 18:21 Edge cases, bounded rationality, and what machines pay attention to 26:03 The future of work and why AI amplifies both skill and decline 36:23 Governance, AI agents, and how much agency we should allow 44:05 AI wow moments and the next frontier: integrated machine senses 47:15 Where to find the book, podcast, and newsletter Where to find Vasant Dhar 🔎 - Visit Vasant's Website, also to find all the links to shops with "Thinking with Machines", his book: vasantdhar.com [https://vasantdhar.com] - Listen to his Podcast: bravenewpodcast.com [https://bravenewpodcast.com] - and get his Newsletter: vasantdhar.substack.com [https://vasantdhar.substack.com] Music credit: "Modern Situations" by Unicorn Heads` ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

🧑🏻‍🎓 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 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 future long before ChatGPT entered the mainstream. We discuss how AI already influences our decisions, why schools need clear AI policies, what humans still do better than machines, and why responsible AI use must be taught alongside technical skills. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠: https://beginnersguide.nl [https://beginnersguide.nl] 📧💌📧 🔥 Quotes from the Episode * "Every person has to know about AI or it will negatively impact their careers and lives." * "If AI takes away human agency, accountability and oversight, then it becomes a parasite." * "The things that make us most human are exactly what AI is not very good at." ⏱ Chapters 00:00 Taniya Mishra's Journey Into AI 08:31 Why AI Literacy Matters For Everyone 17:12 AI Is Already Shaping Daily Life 21:58 Is AI A Parasite Or A Partner? 29:11 Teaching Responsible AI In Schools 36:00 What Humans Still Do Better Than AI 45:00 AI Regulation, Ethics And The Future 49:28 Where To Find Taniya Mishra 🌐 Where to Find Taniya: LinkedIn: linkedin.com/in/taniya-mishra-phd/ [https://www.linkedin.com/in/taniya-mishra-phd/] Website: mysurestart.com [https://mysurestart.com] 🎧 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 https://argoberlin.com [https://argoberlin.com] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

The Scariest AI Scenario Isn't Terminator, Dr. Mark Khater Says

🎙️ 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 thought. Faster decisions can become worse decisions. Alignment can become groupthink. And highly intelligent teams can end up making catastrophic mistakes together. We also discuss AI governance, regulation, investment management, human judgment, diversity of thought, and why trust remains uniquely human. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠subscribe to our Newsletter⁠⁠: https://beginnersguide.nl [https://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 https://argoberlin.com/ [https://argoberlin.com/] 🎯 Quotes from the Episode • "Machines think fast, but humans think deep." • "Trust is a human trait. It's not between a man and a machine." • "If we're all highly aligned on the wrong page, it's catastrophic." ⏱ Chapters 00:00 Mark's AI Journey Since 1994 04:45 Why Universities Matter In The AI Era 12:20 AI Regulation, Europe And The Infrastructure Debate 19:00 AI In Investing And Human In The Loop Systems 28:20 Silent Coordination Failure And The Loss Of Diversity 39:00 Why Human Intelligence Still Matters 🔗 Where To Find Dr. Mark Mohamed Khater LinkedIn: linkedin.com/in/dr-mohamed-mark-k/ [https://www.linkedin.com/in/dr-mohamed-mark-k/] Website: aqm2.ai [https://aqm2.ai/] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

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” 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 as a parody quickly became a serious signal about commoditization, incentives, and the real differentiator: execution, trust, and organizational design. Key takeaways you can apply immediately: ✅ How to approach Microsoft Copilot adoption strategy like a redesign effort, not a software toggle ✅ Why AI literacy and training reduce fear, resistance, and “adoption theater” ✅ What the agents wave means in practice, including platforms like Agentforce ✅ How “vibe coding” changes prototyping speed and risk for teams 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ [https://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 [https://argoberlin.com/] QUOTES FROM THE EPISODE 1. “AI is this incredible wave that I think is gonna fundamentally change individual organizations, but the entire economy, society at large.” 2. “We turned on Copilot, so why aren’t we more productive? … it’s a design process.” 3. “My big prediction is that over the next 18 months, we’re gonna see a lot of backpedaling… and sunk cost fallacy.” CHAPTERS 00:00 Bud’s path from software to organizational change and why AI feels different 04:20 ConsultingSlop.com, vibe coding, and when AI strategy gets uncomfortably believable 06:30 Copilot mandates vs real adoption, why productivity math fails without redesign 16:40 AI as a catalyst for deeper issues: brand story, conflict, and culture 19:25 The next 18 months: investment traps, backpedaling, and what leaders should do 38:00 Agents, Agentforce, and Bud’s personal AI toolkit plus wow moments and wrap WHERE TO FIND THE GUEST * Bud Caddell: https://budcaddell.com/ [https://budcaddell.com/?utm_source=beginnersguide] * NOBL: https://nobl.io/ [https://nobl.io/?utm_source=beginnersguide] * Consulting Slop: https://consultingslop.com/ [https://consultingslop.com/?utm_source=beginnersguide] * LinkedIn: linkedin.com/in/budcaddell/ [https://www.linkedin.com/in/budcaddell/] Music credit: "Modern Situations" by Unicorn Heads ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.