Why Scaling AI is a Skills issue - Insights from the AI Business School CEO

Why Scaling AI is a Skills issue - Insights from the AI Business School CEO

Most leaders believe their teams are ready for the AI revolution, but the reality is more complex. While access to tools like Gemini and Copilot is becoming universal, true adoption - integrating AI into daily work routines to improve speed and quality - remains a challenge. The gap isn't technical, it’s human. In this episode of AI at Work, we sit down with Selcuk to deconstruct the blueprint for large-scale AI adoption. We move beyond the "experimentation phase" and discuss how to move an entire organization of 10,000+ people toward a future where AI is as natural as checking email. Together, we explore: The Comfort Gap: Why the main hurdle isn't the technology itself, but making people feel familiar and comfortable with it. We discuss why only a minority are currently leveraging AI effectively and how to bridge that divide. The Hybrid Training Model: Why "watching a video" isn't enough. We dive into the necessity of role-specific, interactive training that combines digital platforms with human touchpoints like mentoring, peer groups, and competitions. From Execution to Agent Building: As AI begins to outperform humans in execution-focused tasks, the "superpower" of the future shifts. We talk about the transition to higher-level thinking, effective prompting, and delegating tasks to agentic systems. The Leadership Mandate: Why there is no "typical profile" for an AI adopter—age and role are not predictors of success. We discuss why leaders must invest their own time in learning AI to lead by example and identify "change agents" within their teams.

Would you notice an AI generated voice? Trust in the Age of AI!

Can you still trust the voice you hear?In an age where AI can clone anyone in seconds, trust has become the most fragile - and most valuable - asset in business and everyday life.In this episode, Swiss startup CEO Luzi Sennhauser (Aurigin.ai) explains how deepfake audio is transforming communication, fraud, and personal safety - but also why we must not go back to a world where trust only exists in person.Digital trust is now essential, whether you’re running a company or interacting with others all around the globe. Luzi shows how Aurigin’s real-time detection tech (98% accuracy in under 50 ms) protects people from executive voice scams in the boardroom to “grandparent scams” targeting families at home.His message is clear: if digital trust breaks, everything built on it breaks - so we need tools that make online voice interactions verifiable again. If you care about trust, AI safety, and how humans and AI will work together in the future, this episode matters. And it doesn’t stop there: Explore Capgemini’s AI Resonance Framework [If you care about trust, AI safety, and how humans and AI will work together in the future, this episode matters. And it doesn’t stop there—explore Capgemini’s AI Resonance Framework, where we focus on building Human-AI Chemistry that enables meaningful collaboration and shapes the future of work.], where we focus on building Human-AI Chemistry that enables meaningful collaboration and shapes the future of work.

Life Science´s Brain Child grew up: How AI Accelerates Drug Discovery

In this episode of AI at Work, we dive into the world of drug development and life sciences to uncover how AI is reshaping the industry. Our guest, Agathe Tournante, brings a unique perspective—transitioning from academic research to helping life science organizations harness the power of technology and AI. Together, we explore real-world use cases, from accelerating drug discovery to improving clinical trials, while addressing one of the industry’s biggest hurdles: data quality. We also discuss the ethical and operational challenges facing healthcare innovators today, and what the future holds for AI-driven advancements in medicine. Whether you're in pharma, tech, or just curious about how AI is changing the way we approach health, this episode delivers sharp insights and expert perspectives you won’t want to miss.

Busting AI Myths: What AI Is - And What It Isn’t

Too often, AI is either sold as a magic fix for workplace problems or feared as a job-stealing machine. In reality, it’s neither. But dismissing these myths entirely — or ignoring how they shape real business decisions — can be a mistake. In this episode of AI at Work, two consultants — Pascal Aberer and David Roesler — share what they’ve learned from seeing AI implemented across industries. With a practical and grounded perspective, they unpack where common beliefs like “AI will kill creativity” or “machines make smarter decisions than humans” come from — and what can help teams and leaders approach AI more thoughtfully. What business leaders, managers, and anyone curious will get from this episode: * Why Generative AI can’t replace genuine human creativity — but will still reshape how creative work is done, commissioned or managed * When AI decisions are useful, and where human judgment still matters * How ignoring AI myths — or believing them — can affect adoption and outcomes This conversation is less about using AI in the workplace and more about understanding what it means to introduce such a powerful technology into everyday business and society. Whether you're sceptical or curious, this episode is meant to ground the conversation — and offer practical reflections from those working closely with AI in the field.

Safeguarding Mental Health and Meaning

Who Safeguards Meaning at Work in the Age of GenAI? As GenAI tools like Copilot and Gemini promise more productivity, are we forgetting the deeper reasons we work - like purpose, identity, and mental wellbeing? In this episode, I’m joined by HR expert Johann Zillmann to explore the human side of AI adoption. We talk about the tension between organizational goals and individual needs, the evolving role of HR, and why meaning at work must remain a priority. A conversation for anyone navigating the intersection of technology, people, business, and purpose.