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Generation Z isn’t the Problem but Our System is

Generation Z isn’t the Problem but Our System is

by Zeca Ruiz | Dec 3, 2025 | Impuls series, International leadership development, Leadership in the digital transformation | 0 comments

Generation Z isn’t the Problem, but Our System is

Do you want to listen to this article? Click here to access our AI generated audio version!

 

Generation Z isn’t the Problem, but Our System is

The discomfort we feel in relation to them reveals that something in us needs to change, because when an entire generation steps away from the same path, perhaps it is not the generation that is lost, but the path itself that is poorly designed.

Zeca is our MDI Trainer based in Latin America and an expert on generational cooperation. This blog article is the first part of a series – read below to find out what he thinks about the youngest generation in the workforce, Generation Z, and let’s start a discussion on LinkedIn!

Today, in leadership conversations, it has almost become a mantra to say that “young people from Generation Z are lost and we cannot expect much from them.”

As a corporate trainer I repeatedly hear complaints or questions that express how difficult it has been for us to relate to this generation.

GenZ – The Useless Generation?

Many leaders describe this generation as immature, fragile, hard to manage, not very committed, rebellious or even disrespectful. And this narrative has become so common that it starts to sound like an absolute truth.

We have reached a point where some companies have simply stopped hiring apprentices from this generation. They have turned their attention to professionals over fifty who, even at the end of their careers, still fit the current ways of working.

As the good contrarian I like to be, I want to bring up a point that only a minority takes the time to investigate.

Reflect, don’t judge!

Reflect, don’t judge!

When we evaluate a behavior only through the lens of the discomfort it causes us, we completely lose the ability to understand its function and existential role.

In the paradigm of complexity, we understand that subjectivity is an inseparable part of the system, including the observer, and that every behavior carries an internal logic that only reveals itself when we examine the context that produces it, not just the effect it generates in us.

It is like judging a book only by its cover. What we feel when we look at the cover, without knowing the real content, says much more about us than about the book.

In the same way, when we look at Gen Z, we do not see only who they are and what they do, we also see the contrast between the Generation Z way of existing and the way we were formed, our beliefs, our world models and the scale we learned to use to measure behavior, ours and others.

And if both the environment has shaped Gen Z and has also shaped the way we judge them, then we need to change the lens of this observation and step away from unilateral judgment.

We need to start asking ourselves, why are they like this, what are these behaviors responding to, which structures taught this generation to act the way it does and what role these responses are playing in today’s society.

Putting Gen Z Into Context

If we look at this Gen Z phenomenon from a systemic perspective, and not a reactive one, it becomes clear that no generation collectively “wakes up” more fragile, more rebellious or more difficult simply by choice.

Every behavior is always a reflection of the environment, always a condition inherent to the context, an adaptive response to specific conditions that are present.

And for me, based on the topics I explore and study, the behavioral expression of Generation Z is not pointing to their weakness, as we like to assume. It is pointing to the deep obsolescence of the system around them.

Every generation is an adaptive response to the environment it inherits from the previous one and Gen Z is no exception. They are a response to a world that has changed faster than organizations have been capable of following.

And let me be clear about something.

I am not here to idealize Gen Z or place them on any pedestal, I also see they carry traits that challenge them deeply, regardless of the system they inhabit.

They can be anxious, impatient, prematurely exhausted, emotionally overwhelmed, and often unprepared to sustain prolonged discomfort. These are real characteristics that demand development, maturity and guidance.

But acknowledging their difficulties does not contradict what I am saying, it actually reinforces it. Because the turning point comes when we stop looking only at what they lack and start recognizing how much of our own worldview, our expectations and our outdated structures shape the very behaviors we criticize.

The moment we take responsibility for the lens through which we see them, we finally create the conditions for growth on both sides.

Putting Gen Z Into Context

Why is Gen Z like this? (before labeling, we must contextualize and understand)

Before making any judgment, it is worth looking at this generation with analytical sobriety and recognizing the quality of their most striking traits, such as their authenticity, their search for meaning, their intolerance for incoherence, their rejection of rigid hierarchies, their heightened emotional sensitivity, their digital fluency and their constant questioning.

Born into the digital age, members of Generation Z arrive in the workplace with very clear expectations for agility, transparency and innovation.

And because they often bring an entrepreneurial and autonomy driven mindset, they tend to challenge traditional paradigms and seek more horizontal structures, with authentic and coherent leadership.

Seeing the Bigger Picture

These elements are not isolated characteristics, they are expressions of a way of existing that was shaped by an environment radically different from the one that structured the ways of the previous generations.

And although these traits are sometimes interpreted as opposition to earlier generations, or as the result of having had too many comforts which would have weakened their capacity for effort and discipline, they are actually a very interesting starting point for deeper, contextual investigation.

After all, as always happens in the transition between generations, these ways of behaving are adaptive responses to conditions that simply did not exist before.

So the invitation here is to broaden our perspective and look beyond isolated behavior. It is to observe the scenario that shaped this generation, the environment and the conditions that gave rise to each trait and to each way that Gen Z responds to the world.

Conclusion

Gen Z isn’t a sign of decline—they’re a sign that our systems haven’t kept pace. Their behavior points to the gaps in how we lead, organize and define work. When we stop labeling and start listening, we see that their traits aren’t flaws but responses to a world that changed faster than our structures did.

The real question isn’t what’s wrong with Gen Z, but what their reactions reveal about the environment we built. Once we shift the lens, it becomes clear: Generation Z isn’t the problem. They’re the diagnosis. The work ahead lies with us.

Zeca Ruiz

Zeca Ruiz

Leadership Trainer and Consultant

Zeca Ruiz is a Leadership Trainer, Facilitator and Consultant in Human and Organizational Development. He works in leadership development across Latin America and Europe, with experience in cultural transformation processes, team dynamics and the integration of systemic methodologies into corporate practice. He is a specialist in complex thinking, a generative coach and an integrative therapist, working at the intersection between human behavior, learning and the evolution of systems. He leads trainings, talks and development programs that combine depth, clarity and practical application to prepare people and organizations for high complexity environments.

  • LinkedIn

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From Lab to Practice: What We Learned With AI

by Rafael Ungvari | Sep 3, 2025 | Digital Transformation, Leadership and AI, Short Knowledge Bits | 0 comments

From Lab to Practice: What We Learned With AI

Do you prefer to listen to this article? Click here to access our AI-generated audio version!

From Lab to Practice: What We Learned With AI

AI in organizations isn’t a one-size-fits-all solution.

And in people development, this becomes even more obvious: AI only creates value when it’s tailored to how people actually learn and practice skills.

At MDI, we’ve been working on this question for more than 1.5 years. What started as an internal experiment with ChatGPT quickly grew into our AI Leadership Lab – a sandbox where we could prototype, test, and refine how AI could support leadership development.

Our Journey With AI

Along the way, we moved from simple chatbots to immersive roleplays with voice and avatars. We discovered that immersion is not an add-on, but the goal. Our first demos now feel almost nostalgic – clicking a button, waiting for a response – compared to today’s fluid dialogues with emotional, human-like voices.

We also learned that systemic design matters more than model hype. GPT-3.5 to 4 was a leap, but not a breakthrough. The real difference came from how we designed scenarios: choosing the right challenge, calibrating resistance, and iterating with our trainers until the practice felt authentic.

And finally, we realized that feedback cannot be generic. AI’s true learning value comes when feedback is contextual, practical, and directly connected to the learner’s performance. That’s why we co-created feedback models with our trainers, based on real workshop experience.

Those internal learnings became the foundation of our Lab. But what happens when you take this approach outside – into client organizations?

From Internal Lab to Client Projects

In our first client projects implementing the AI Leadership Lab, one thing became crystal clear:

Success doesn’t depend on AI itself – it depends on how well the application is tailored to the organization.

Here’s what we learned in practice:

Our Journey With AI

1. Industry- & Company-Specific Adaptation

Generic simulations don’t work. For AI learning to have impact, scenarios must reflect the company’s reality:

  • the industry’s challenges,
  • the roles participants actually face,
  • and the objectives that matter most.

That’s why we don’t deliver “out of the box” roleplays. We co-develop scenarios with clients, allowing participants to rehearse the exact conversations and situations they encounter in their day-to-day work. AI enables the scaling of this realism across multiple contexts.

2. Co-Creation as a Success Factor

An AI Lab isn’t something you roll out. It has to emerge in co-creation:

  • our 1.5 years of Lab learning,
  • combined with our leadership development expertise,
  • and the client’s own learning and development (L&D) goals, models, and training structures.

This triangulation is what makes the Lab not only innovative but also credible, relevant, and sustainable within the organization.

3. Integration over Isolation

AI roleplays only create value when they are integrated into existing learning journeys, not used as isolated demonstrations.

That means embedding them into training modules, aligning them with objectives, and positioning them as part of the transfer process.

This way, AI strengthens the overall program instead of standing apart. It becomes a sustainable elementof leadership development – not just an add-on.

From experiment to system

Looking back, there’s a clear arc:

  • In our internal Lab, we learned the principles of immersion, design, feedback, and stakeholder involvement.
  • In client projects, we learned how to apply these principles to various industries, cultures, and learning and development (L&D) structures.

Together, these experiences show how AI can move from experiment → tailored system → scalable practice.

Final reflection

AI will not transform leadership development on its own. But when it is:

  • adapted to the industry and company context,
  • co-created with trainers, participants, and L&D teams,
  • and integrated into existing programs,

…then it can turn training into truly immersive, relevant, and scalable development.

That’s the future we’re building with the AI Leadership Lab – step by step, from lab to practice.

Rafael Ungvari

Rafael Ungvari

Artificial Intelligence Expert

Rafael is an AI specialist at MDI and is working to redefine leadership development through artificial intelligence. To implement this idea, he has worked with our team to establish the MDI AI Leadership Lab, which serves as a hub for experimenting with and applying AI solutions together with clients and trainers.

His work builds on his studies in business informatics at WU Vienna, where he combines business perspectives with technical expertise to develop practical and sustainable digital solutions.

  • LinkedIn

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by Jana Wölfl | Aug 28, 2025 | Impuls series, Leadership in the digital transformation, Training Insights | 0 comments

How to Stay Connected: Leadership in Challenging Times

This blog is an excerpt from our new podcast! You can find the entire podcast episode here.

Staying connected: Leadership in challenging times

In our new video podcast format, “Voices of Leadership – an MDI Spotlight Series,” we regularly bring leadership experts in front of the camera to talk to them about their passions in leadership development.

Our first guest was Peter Grabuschnig – we spoke with him about the challenges in the current work climate, received his tips for new leaders, and discussed a topic close to his heart. Read this blog post to learn more about our first podcast episode!

What really matters to Peter

Right at the beginning, Peter introduces us to the topic close to his heart – connectedness in challenging times.

“I’ve noticed that we are more connected than ever before, but people feel little real connection.”

He explains that, especially with the changes brought about by the COVID-19 pandemic and new home office regulations, it has become more difficult to connect with one another, both among employees and between leaders and employees. At the same time, we are increasingly losing touch with ourselves and our values.

Peter emphasizes that it is an important challenge to restore this sense and be passionate about something again. He also says that he likes to use personality models in his training sessions. These can help participants to meet each other halfway and create a pleasant working environment despite personality differences.

Peter’s best feedback

When it comes to training, we ask Peter what feedback he remembers most. He tells us about participants who were skeptical at first but ended up giving him a high five with total enthusiasm.

He also says that participants often tell him that they’re using the tools they learned and that it’s working.

“I don’t think there’s anything better than that.”

What really matters to Peter

What should leaders change?

Remove judgment and listen consciously. Peter asserts that (negative) judgment, especially in conversations with employees, only causes lasting harm and demotivates employees.

At the same time, he says it is essential for leaders to listen consciously to their employees and thereby build a genuine relationship. The main thing here is to give the other person your full attention and show genuine interest.

“Genuine connection doesn’t take long. A few short sentences are enough.”

He also emphasizes that different people in a team are important assets and that sufficient communication is the most important tool here.

What will challenge us in the coming years?

For Peter, one thing is clear: we need human contact to actively combat increasing loneliness.

“Humans are social beings. We are community creatures; we need other people. Oxytocin is released when we hug someone, not when we have a nice MS Teams meeting with someone.”

Working from home means that many interactions with colleagues are lost. We are often more productive at home, but at what cost? Peter sees this as the biggest challenge – how can we balance productivity and connectedness in a hybrid, rapidly changing world?

Peter as a time traveler

Finally, we asked Peter what advice he would give his younger self if he could travel back in time. His answer: He doesn’t have to know everything. As a young trainer, he often felt that he had to be able to do everything and design the perfect training program. Now he knows:

“Being present is much more important than perfection.”

Authenticity also plays a major role: “If I am authentic, then hopefully my participants can be too!”

Conclusion

Our conversation with Peter showed us how important genuine connection is in today’s work environment. Leadership does not mean always knowing everything, but rather being present, listening, and consciously shaping relationships. Especially in times of remote work and hybrid structures, creating closeness and trust remains a central task.

Peter reminds us that leadership does not primarily work through processes or tools, but through people. Authenticity and genuine interest are often the key to strengthening teams in the long term.

Want to listen to the whole podcast? Here you can access the YouTube video! Follow us to make sure you don’t miss any more conversations with leadership experts.

Jana Wölfl

Jana Wölfl

Marketing Assistant

Jana Wölfl is a marketing assistant at MDI and works on our blog. She has already been responsible for several areas of marketing, such as designing our new website and administering our personalist.at portal.

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Generation Z isn’t the Problem but Our System is

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Unlocking Creativity – How to Create AI Images

Unlocking Creativity – How to Create AI Images

by Florian Biedermann | Aug 28, 2025 | Leadership and AI, learning effectiveness, Short Knowledge Bits | 0 comments

Unlocking Creativity – How to Create AI Images

Would you like to listen to this article? 

Click here to access our AI-generated audio version! Have fun listening 😉

Unlocking Creativity – How to Create AI Images

Have you ever wondered how AI can be utilized to not only transform leadership development, but also other spheres such as art? Our L&D Consultant Florian Bidermann recently had the pleasure of attending an AI Lab session by artist Bella Volen on “Creating images with AI.”

Until then, my attempts to generate images with AI had not been particularly successful—they were uninspired and unsuccessful. Thanks to Bella’s course, however, I have now gained some eye-opening insights into designing images with AI, which I naturally want to share with you.

Prompting the Visual

First of all, it is quite easy to create unique visuals with just a few prompts. But if you prompt very simply, such as „Create a picture with a tree and a house,” it is more than possible that the result will differ greatly from the picture you desire.

As AI models are trained on vast datasets of images and captions, they generate pictures that match the description. It’s a creative process, but it also requires experimenting—users must invest time to understand the model’s logic and fine-tune requests for optimal results.

Understanding image creation with AI requires a grasp of visual language. The more you are familiar with composition, color harmony, and symbolism, the more the results correspond to the expectations. Learning to express concepts visually is essential for effective AI image generation.

5 Tips When Prompting an Image

Visual language is a language without limits that is dynamic, but follows some clear rules. Here are some of the most important aspects to consider when prompting an image:

  • Clearer Communication with AI: Visual language provides the vocabulary needed to create precise, descriptive prompts. The more effectively you can express ideas visually, the more likely you are to achieve the intended result from the AI.
  • Improved Results: Knowledge of elements such as balance, contrast, and focal points enables you to guide the AI toward visually harmonious and compelling images. Detailed familiarity with artistic terms helps you specify exactly what you want—like “dramatic lighting,” “minimalist design,” or “complementary colors.”
  • Efficiency in Experimentation: If you have a strong visual vocabulary, you can iterate faster. It helps you to adjust styles, moods, or compositions in your prompts, shortening the trial-and-error cycle.
  • Contextual Awareness: Understanding visual conventions lets you match image style and content to the intended message or audience.
  • Quality Control: You can critically assess and refine AI outputs based on artistic principles, rather than relying purely on technical capability.
Roleplays and simulated scenarios: practicing leadership in a safe space

Here are some key aspects of visual language that enhance AI image quality that might help you when you are prompting:

Composition

  • Arranging elements in the image for balance, focus, and clarity.
  • Specifying concepts like “centered portrait”, “rule of thirds”, or “dynamic perspective” helps the AI craft more visually appealing outputs.

Color Theory

  • Directing mood and harmony through careful use of color palettes.
  • Prompts mentioning “complementary colors”, “warm tones”, or “monochrome” significantly influence the emotion and coherence of the result.

Lighting

  • Describing lighting types (“soft lighting”, “dramatic shadows”, “golden hour”) is crucial for depth, atmosphere, and realism.

Style and Genre

  • Referring to well-known art movements (impressionism, cubism, manga) or commercial styles (minimalist, photorealistic, vintage).
  • Precise style cues lead to outputs closer to the intended vision.

Texture and Detail

  • Dictating the level of detail or surface finish (smooth, grainy, painterly, highly detailed) enables tailored results.

Subject Placement and Hierarchy

  • Communicating which objects or figures are focal points and how supporting elements are arranged (“foreground emphasis”, “background scenery”, “isolated subject”).

Symbolism and Visual Metaphors

  • Using Imagery that carries meaning or evokes specific concepts, such as peace (doves), innovation (lightbulb), or adventure (open road).

Key Takeaways

Anyone can generate visuals with AI, but mastering visual language yields better results. The process is iterative—experimentation and clear prompts are crucial. Be mindful of copyright issues in your creations. Since AI models are often trained on existing artworks, it remains important to consider authorship and intellectual property when publishing or selling AI-generated images.

And Now You

What are your experiences in creating pictures with AI? What helps you to create an image with artificial intelligence – and where do you reach your limits?

Share your thoughts with Florian on LinkedIn!

Florian Biedermann

Florian Biedermann

Learning & Development Consultant at MDI

Florian Biedermann is a Learning & Development Consultant at MDI (Management Development Institute) – a global consulting company that offers solutions for leadership development. His focus is on making complex issues understandable and inspiring people to think – and act. Florian previously worked for many years as an author and manager in the e-learning sector, after spending over a decade as a freelance journalist.

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The Lasting Impact of Leadership Horizon – Meike’s Perspectives

Do you prefer to listen to this article? Click below to access our AI-generated audio version!

The Lasting Impact of Leadership Horizon – Meike’s Perspectives

MDI’s Meike Hinnenberg shares her reflections on this year’s Leadership Horizon and what it means to be a leader in today’s climate. Read this blog article to gain insight into her perspectives!

The #Leadership Horizon took place over a month ago.
And yet – it still lingers in my mind.

In an age where the average attention span has dropped to just 47 seconds (down from 2.5 minutes in 2004, as #GloriaMark describes), that’s not nothing.

So why does this event stay with me?

Certainly because of the valuable insights into current developments in #AI. But more than that:

It was the multi-perspectivity and the rare, dialogical space between those perspectives that left a lasting impression.

This wasn’t a sales pitch. Nor an ideologically charged debate. It was a shared space to explore the tension between

  • inspiration
  • rapid development
  • uncertainty
  • and the sheer unpredictability of a technology that both fascinates and challenges us.

Leadership and Multiperspectivity

In today’s public discourse, I often miss this kind of space. Instead, I encounter ideological simplifications that seem to fuel polarization, reducing complex issues to binary narratives. This tendency not only falls short of doing justice to the complexity of our interconnected world but also obstructs meaningful responses and undermines the solidarity we so urgently need.

In contrast, spaces like the Leadership Horizon – where different perspectives are not just tolerated but invited – feel like rare and necessary counterexamples. This event inspired me on a deeper level, much like the writings of #KlausEidenschink on conflict, polarity, and the question of the good within the evil.

It reminded me that true dialogue does not seek harmony at any cost or resolution too quickly, but stays with the tension, holds the paradox, and allows transformation to unfold from within it.

Leadership and Multiperspectivity

A Core Leadership Competence

This ability to hold tension and to stay with complexity is not just useful – it’s essential for us as leaders, because in leadership, we constantly navigate ambiguity and contradiction.

And especially now – as we face various disruptions and questions around systemic transformation, diversity etc. – we don’t need more polarization. We need the ability to manage polarities. To lead across differences. To hold both clarity and contradiction.

I know from experience how easy it is to ask for this complexity tolerance – and how hard it is to practice it. Especially under pressure, our systems revert to simplification, control, and reactivity.

That’s why this is not just about mindset – but about #conscious leadership and about creating spaces of real dialogue, where perspectives can challenge and transform us and where we remain generous in our shared human finitude.

What helps you create those spaces in your organization – where not just alignment, but true dialogue can emerge?

Meike Hinnenberg

Meike Hinnenberg

Learning & Development Consultant

Meike Hinnenberg is a trainer, Learning and Development Consultant, and Team Lead at MDI Management Development GmbH and specializes in communication, conflict management, diversity & inclusion, and lateral leadership.

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