A Beginner's Guide to AI

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 assistant agent choosing on your behalf? Humayun breaks down how identity, verification, and trusted lists can reduce scams and make agentic commerce safe and usable.

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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

Chapters
00:00 Welcome and Humayun’s journey from gaming to DeepMind
03:01 What is an AI agent: autonomy and decision-making
08:20 The Agentic Web: discoverability, connectivity, trust and commerce rails
23:47 Personal agents in practice: preferences, handles and onboarding in minutes
29:53 Verified brand agents and trust: domains, identity and safe agentic buying
48:12 Risks, AGI fears, corporations vs countries and what comes next

Quotes from the Episode
“There has to be a hint of autonomy within an agent.”
“We have provided the rails of discoverability, connectivity, communication, trust. And commerce.”
“Your aggregator is your own agent. It holds your preferences. It doesn’t pass it to anybody.”
“Anybody who has a website should have an agent, or will have an agent.”
“I was the first investor in DeepMind.”
“We will not have countries, we will have corporations.”

Where to find Humayun Sheikh
Fetch.ai - your personal AI
ASI1.ai - the LLM
Follow Humayun on LinkedIn!

Music credit: "Modern Situations" by Unicorn Heads
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🧠🤖 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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In this episode of A Beginner’s Guide to AI, Dietmar Fischer explores what marketers, founders, and executives can learn from Google DeepMind. The central idea is simple but powerful: modern AI systems learn patterns from data, improve through feedback, and help humans explore problems that are too complex to solve manually.
You’ll hear why AlphaGo was not just a board game story, why AlphaFold became one of the clearest examples of AI as a scientific tool, and why marketers should stop treating AI like a content vending machine. The better question is not “Can AI write this for me?” The better question is: “What hidden pattern can AI help me find?”

🧩 Key highlights from this episode:
🤖 What Google DeepMind actually is and why it matters
♟️ How AlphaGo showed the power of AI learning systems
🧬 Why AlphaFold turned AI into a serious scientific discovery tool
📊 How AI pattern recognition applies to marketing and business strategy
⚠️ Why bad data and unclear goals create dangerous AI outputs
🧠 How marketers can use AI for insight, not just content production
🔍 Why human judgement remains essential when working with AI

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Quotes from the Episode
“Stop asking AI only for content. Start asking it for insight.”
“Good AI does not replace experts. It helps experts move faster.”
“The machine helps. The humans decide what matters.”

Chapters
00:00 Google DeepMind: Why This AI Lab Matters
04:10 AlphaGo and the Shift From Rules to Learning
10:30 AlphaFold: AI as a Scientific Discovery Tool
18:45 The Cake Example: How AI Learns From Patterns
24:20 What Marketers Can Learn From DeepMind
31:50 Practical AI Tips: Ask for Insight, Not Just Content
38:20 Recap: From Automation to Discovery
42:30 Signature Sign-Off: The Machine Helps, The Human Decides

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
Hosted on Acast. See acast.com/privacy for more information.

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 adoption is unfolding in real time.

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This wide-ranging conversation covers practical use cases, risks and transparency issues, the future of generalists vs specialists, how universities adapt to AI, and why understanding the technology still matters deeply.

Quotes from the Episode
“We’re moving from tools we command to tools that proactively act on our behalf.”

“AI agents don’t just make us more productive; they make us happier by removing the parts of work we dislike.”

“Understanding AI makes you a better user of AI. Depth still matters.”

Chapters
00:00 Welcome & How Sam Got Into AI
03:21 What Are AI Agents? Definitions and Early Insights
07:14 Real Enterprise Use Cases of AI Agents
12:05 Job Satisfaction, Productivity, and Human-AI Collaboration
17:20 Generalists, Specialists & the Future of Work
22:30 Risks, Transparency & Avoiding an Oppressive AI Future
28:45 How Companies Should Start with Agentic AI
33:20 AI in Education and Changing Learning Environments
39:00 Sam’s Personal Use of AI — What Works and What Doesn’t
41:20 Terminator vs Matrix? AI Futures
42:41 Where to Find Sam and the MIT Sloan Study

Where to Find the Sam Ransbotham
site at Boston College
Or you find him on LinkedIn
The study of MIT Sloan lies here
And, last, but not least, Sam's podcast “Me, Myself, and AI”!

About Dietmar Fischer:
Dietmar is a podcaster and AI marketer from Berlin. If you want to elevate your AI or digital marketing strategy, get in touch anytime at argoberlin.com

Music credit: “Modern Situations” by Unicorn Heads 🎵
Hosted on Acast. See acast.com/privacy for more information.

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.

This conversation is especially relevant for business leaders, founders, consultants, coaches, marketers, and anyone trying to understand AI beyond the hype. AI may make management easier, but leadership becomes more demanding. The real question is not whether AI will replace leaders. The better question is whether leaders are ready to become more human.

In this episode, we explore:
🧠 Why AI can help leaders think more clearly
👥 Why leadership is not the same as management
⚖️ Why responsible AI starts with human intention
💬 How AI can help us ask better questions
🚫 Why ChatGPT should not become your boss
🌍 Why AI risk is really a human leadership problem
🔍 Why the future of AI depends on values, not just prompts

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About Your Host, 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
“AI doesn’t have intentions. It’s we who have intentions.”
“Leadership is a people’s issue. Management is a process issue.”
“AI has no emotional intelligence. AI has no wishes.”
“AI will never be a leader.”
“It could take our jobs if we don’t develop ourselves.”

Chapters
00:00 Sally Bendersky on Innovation, Coaching, and Engineering
03:36 What AI Cannot Replace in Human Leadership
07:12 Leadership Is Human, Management Is Process
13:44 How AI Helps Leaders Ask Better Questions
22:43 Responsible AI Use, Better Prompts, and Human Judgment
31:08 Debating with AI and the Real Future Risk

Where to Find Sally Bendersky
LinkedIn: Sally Bendersky
Website: sallybcoach.com
Contact: Available through Dietmar Fischer
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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 abbreviation. It marks a shift from an internet read mainly by humans to an internet increasingly interpreted by AI agents. Instead of fighting only for blue links, brands now need to make sure AI systems understand who they are, what they do and why they should be recommended.

You’ll hear why AI agents often misunderstand brands, how schema and FAQs can help, why authority matters more than keyword repetition, and why smaller specialist companies may have a real opportunity in AI search.

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🎧 In this episode, we cover:
🤖 What Generative Engine Optimization means
🔍 Why SEO and GEO are not the same
💬 How brands can appear in ChatGPT answers
📈 Why authority, citations and reviews matter
🧠 How AI agents are changing the customer journey
🎬 Why AI tools still need human creativity
⚠️ Why leaders should not outsource their thinking to ChatGPT

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
“We’re moving away from an internet which is read purely by humans, to an internet which is now read by agents.”
“AI trusts a lot more what others say about you than what you say about yourself.”
“It’s very dangerous to go straight to an LLM and ask them to provide the answer.”

Chapters
00:00 Welcome Joseph Levi
01:42 Why Brands Must Act Early on AI Search
04:21 GEO, AEO and the New Marketing Acronyms
06:28 SEO vs GEO: Links, Answers and Authority
10:21 How AI Agents Understand or Misunderstand Your Brand
14:02 Schema, FAQs and Building Expert Authority
21:22 Why GEO Is Different from Traditional SEO
24:28 How Marketing Teams Should Approach GEO
27:32 AI Agents and the New Customer Journey
30:28 AI Video, Tools and Human Creativity
33:53 AI Leadership and Better Decision-Making
36:04 Wow Moments: AI Video, Robots and Waymo
39:08 AI Risks, Jobs and the Future
40:58 Where to Find Joseph Levi

Where to find Joseph Levi
🌐 Noise Media: noisemediagroup.co.uk
🌐 Find yourself at Vudo: vudo.ai
🔗 LinkedIn: Joseph Levi
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