What do you learn in this episode:

1. Why AI personalization is part of AI expertise—even if hardly anyone knows it             
2. Why users should personalize their AI tools instead of using the default setting.
3. How to choose the 'character' of your AI chatbot, such as ChatGPT or Gemini, to achieve better results.
4. How conscious AI personalization enhances data privacy and security.
5. Specific and easy personalization steps you can take to protect your personal data

What do you learn in this episode:

• Why do we need a radical mindset shift in the workplace to remain competitive in the age of AI?   
• What are the 12 rules of our working world we need to unlearn now in order to succeed in the future?
• What are the new principles for success in our collaboration with AI?
• How can we achieve that our "unlearning rate exceeds our irrelevance rate"?

What do you learn in this episode:

• What are the greatest short- and long-term risks of AI for humanity?
• What are the unsolved challenges of “AI Superintelligence” (AGI) and why is the window of opportunity for taking effective action closing?
• What specific AI risks are leading AI experts such as Nobel Prize winner Geoffrey Hinton warning about, and what are their recommendations for    action?
• What can we do as individuals and as society to harness the potential of AI and minimize the risks?

What do you learn in this episode:

• Why the rise of Artificial General Intelligence (AGI) marks a disruptive moment in the history of technology
• What the 26 essential skills for 2026 for a successful human-AI collaboration are
• How we can form a powerful "Co-Intelligence" with AI?
• Why social skills like curiosity and empathy stay crucial in the future and how we can strengthen them

What do you learn in this episode:

• What are the key characteristics of the upcoming Agentic AI revolution in the workplace?
• What distinguishes agentic AI systems from generative AI tools such as chatbots?
• How do AI agents work?
• What skills will become more important in the age of Agentic AI?
• What are the implications of Agentic AI for leaders?

What do you learn in this episode:

• What is the good, the bad and the ugly side of “teaming up with AI” in our daily lives?
• Which of humanity's biggest problems can be solved better and faster with AI?
• How do we avoid the biggest risks and misuse of AI?
• How can be deliberately chose a realistic, responsible, and secure approach to AI adoption, prioritizing "human-centric" principles and "human dignity and well-being”?
• Why does Dr. Yasmin Weiß believe in the sentence “With great power comes great responsibility” in the context of AI development and AI usage?

What do you learn in this episode:

• What is “double teamwork” between humans & AI?
• How can mixed human-machine-teams create an “augmented intelligence?”
• What does the “Human Captain and AI Co-Pilot”-Principle exactly mean for our collaboration with AI?
• Why does Dr. Yasmin Weiß believe in the sentence” "You cannot compete against a diverse team of smart humans and smart machines having fun together."

What do you learn in this episode:

• How can you use AI ChatBots like ChatGPT, Gemini and Claude not just as “fancy search engines”, but as effective personal AI assistants?
• What are “Mega Prompts” and how can you use them to make your everyday work easier?
• How you can use Mega Prompts to get hyper-individualised support for your tasks?
• How can you use Mega Prompts to get an AI-based “problem-solving sparring partner”?

What do you learn in this episode:

• Can AI help us become thought leaders on platforms like LinkedIn?
• How is the traditional model of thought leadership changing in the age of AI agents?
• What do you need to consider when your readers are not just humans, but AI agents?
• Why is "healthy scepticism" a critical skill in this "new game" of publishing and scaling ideas?

What do you learn in this episode?

• How can AI-based learning become your "secret weapon"?
• How can employers create a "state of the art" learning environment?
• How can you create hyper-personalised learning tools with AI?
• How can you integrate continuous learning into your everyday life?

What do you learn in this episode?

• How can I overcome my fear to be replaced by technology?
• How does the leading investment bank Goldman Sachs transform their bankers’ work with AI with impact on other industries?
• What is “human differentiation excellence”? What can we contribute as humans what machines can’t?
• How do I become “humanly excellent”? How can I leverage my human strengths in collaboration with AI?
• How can I identify my individual “human excellence portfolio” which strengthens my market value?

What do you learn in this episode?

What do you learn in this episode?

•  What are the relevant 25 Skills for 2025?
• How can we create a co-intelligence by bringing human and artificial intelligence together?
• Why will emotional intelligence become even more important in the future working world?
• What are emotionally smart questions to ask yourself at the end of the day to train your emotional intelligence?

This podcast episode offers concrete insights into how AI can be used to make work and private life easier

The two AI voices discuss recent publications and findings by Prof. Dr. Yasmin Weiß about this.

What do you learn in this episode?

• What's coming, what's going, what's staying in our working world with AI?
• How can we use AI as a co-creation partner?
• What are “deep human skills” and why are they so relevant?
• How do we avoid a “popcorn brain” and keep balance in the age of AI?

This podcast episode focuses on the biggest trends for our working world in 2030, in which we will naturally work together with AI.

The two AI voices discuss recent publications and findings by Prof. Dr. Yasmin Weiß about this.

What do you learn in this episode?

• What the new normal of our working world looks like 
• How we can prepare ourselves for the transformation of our work 
• How the offices of the future will look like
• What sets us humans apart from machines and what our unique human skills are
• How we can learn the language of technology and the language of human connection

This podcast episode focuses on the relevant human skills in the age of AI and how they can be strengthened. 

The two AI voices discuss recent publications and findings by Prof. Dr. Yasmin Weiß about this.

What do you learn in this episode?

• What our “human superskills” are
• In which areas humans can hardly be replaced by technology 
• What makes us uniquely human compared to machines
• How we can create a working world that is both cooler and warmer and which companies are leading the way here

This podcast episode focuses on our ability to work in a team with AI

The two AI voices discuss recent publications and findings by Prof. Dr. Yasmin Weiß about this.

What do you learn in this episode?

• How we can team up with AI to work more effectively and efficiently
• How we can enhance our skills with AI and “supercharge our human intelligence”
• How we identify the tasks where AI can support us
• Why we should look for an AI mentor
• How we can work smarter, instead of harder

This podcast episode focuses on the relevant AI skills for leaders and how they can learn. 

The two AI voices discuss recent publications and findings by Prof. Dr. Yasmin Weiß about this.

What do you learn in this episode?

• Which specific AI skills are necessary for leaders
• How AI can make life easier for leaders 
• How leaders can gain trust in the age of AI
• Why great leadership cannot be automated

This podcast episode focuses on the myths surrounding lifelong learning and the question of how we can all learn significantly better with the help of AI. 

The two AI voices discuss recent publications and findings by Prof. Dr. Yasmin Weiß about this.

What do you learn in this episode?

• How our neuroplastic brain works and how learning is possible at any age
• How AI-based learning can be more effective, including concrete “learning hacks” for AI based learning 
• How we can use AI as a powerful tool for efficient learning and working
• Why especially women should invest in their AI skills in order to close the ‘Gender AI Gap’