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A Success Story – When AI Sharpens Human Judgement

A Success Story – When AI Sharpens Human Judgement

by Claude MacDonald, Rafael Ungvari | Mar 6, 2026 | Customer Story, Digital Transformation, Leadership and AI | 0 comments

A Success Story – When AI Sharpens Human Judgement

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

When AI Amplifies Human Judgment: A Customer Success Story

About This Project

At MDI, we believe that great leadership and sales development isn’t just about knowledge transfer — it’s about behavior change. This customer story reflects a collaboration between Claude MacDonald, MDI trainer and Sales Culture Architect, and Rafael Ungvari, MDI’s AI Product & Solution Lead, who designed and implemented the AI-driven learning environment for this engagement. Together, they bring a rare combination: deep human expertise in consultative selling and the technical capability to turn that expertise into scalable AI-powered practice tools.

The Challenge: Great Training, Not Enough Practice

Our client is a global B2B organization in the industrial chemicals industry, operating across multiple business units with complex sales cycles and technically sophisticated offerings. Sales leaders and managers play a critical role in developing the consultative selling capability of their teams, which makes closing the practice gap not just a training question but a leadership priority.

The goal was clear: strengthen Discovery skills. That means helping sales professionals ask better questions, genuinely uncover client needs, qualify opportunities more accurately, and walk into customer conversations fully prepared.

Here’s the honest challenge: the existing training worked. It created shared language and awareness. But awareness alone doesn’t change behavior. And behavior only changes with practice — lots of it.

Think of elite athletes. They don’t improve by playing more games. They improve because the practice-to-play ratio is deliberately high. In sales, that ratio is almost always inverted. Real customer conversations are high-stakes environments — there’s limited room to experiment, fail, and try again.

That’s exactly the gap we needed to close.

Why AI – and Why Role Play?

The answer wasn’t more classroom time. It was deliberate, repeatable practice at scale.

AI-driven role play made it possible to create realistic Discovery conversations on demand. Participants could practice, reflect, adjust, and replay scenarios multiple times — something impossible to replicate with peer simulations or occasional classroom role plays.

Without AI, the solution would have looked like traditional role play: useful, but hard to scale, difficult to repeat, and dependent on the availability of skilled practice partners. With AI, we could give every participant a realistic, challenging practice environment they could return to again and again.

Crucially: AI didn’t replace human judgment. It amplified it by giving people more chances to sharpen their questioning, their listening, and their situational awareness before the stakes were real.

How the Solution Was Designed

The concept was straightforward: AI avatars simulated customer interactions specifically designed to challenge participants on the exact capabilities that matter most in Discovery — questioning quality, listening and sense-making, problem framing, and opportunity qualification.

A typical session combined a short conceptual input with an AI-driven discovery role play, followed by structured reflection and a facilitator-led debrief. Participants encountered realistic customer responses and had to adapt their approach in real time — not follow a script.

The human-AI balance was intentional. Human facilitators anchored the learning in business reality, coached participants on consultative behaviors, and helped translate practice into field application. AI provided the environment: repeatable, realistic, and safe to experiment in.

The Challenge: Great Training, Not Enough Practice

What Participants Experienced

The most significant shift was in the practice-to-play ratio. Participants could run the same scenario multiple times, testing different questions and conversational strategies. This dramatically increased the practice-to-play ratio, accelerating skill development in Discovery conversations. The experience felt realistic, engaging, and directly connected to daily work — not abstract, not theoretical.

A few voices from participants (anonymized):

“The AI role plays were incredibly helpful. Being able to repeat scenarios helped me improve my discovery conversations.”

“This was a breath of fresh air — challenging, practical, and directly applicable.”

“The AI tools made it easier to structure my thinking before real customer calls.”

Results: What Actually Changed

Observed outcomes included stronger Discovery conversations with better questions and sharper listening, more structured pre-call preparation, improved opportunity qualification, and increased confidence in leading customer discussions.

Compared to traditional formats, the AI-enabled approach proved more scalable (accessible to more participants, more often), more effective (higher practice volume, faster skill development), and more sustainable (embedded as an ongoing practice tool rather than a one-time event).

Key Takeaway: AI Works Best When It Amplifies Humans

The most important lesson from this project is deceptively simple: AI is most powerful when used to amplify human judgment, not replace it.

Building consultative selling capability — especially in Discovery — requires far more deliberate practice than traditional training formats can realistically provide. AI-driven role play creates a scalable, repeatable way to embed that practice into sales development programs.

When does this approach make sense? When the capability gap is behavioral rather than knowledge-based, when practice volume matters, and when you need a safe environment for experimentation and failure.

When doesn’t it make sense? When the learning goal is primarily about mindset shifts, relationship dynamics, or complex emotional intelligence work — areas where human nuance and real relationship context are irreplaceable.

The future of effective sales training isn’t AI or humans. It’s knowing exactly where each one adds the most value — and designing for both.

Interested in exploring AI-driven role play for your sales or leadership development programs? Contact us at https://mdi-training.com/ai-enhanced-leadership-training/

Are you interested and you want to hear more from Claude MacDonald? Claude will speak at our next Leadership Horizon conference on May 5th with his keynote Business Case: When AI Amplifies Human Judgment: Lessons from the Field. 

Get your tickets now!

Claude MacDonald

Claude MacDonald

Sales Culture Architect & Leadership Strategist

Claude MacDonald is recognized as an expert in sales culture transformation. Over the past 25 years, Claude has trained and coached more than 25,000 managers, professionals, and employees from prominent organizations in Canada, the United States, and Europe. His work focuses on building the mindsets, skills, and habits that drive lasting commercial performance — from frontline sales professionals to senior leadership teams.

  • LinkedIn
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

Save your tickets and join us on May 5th!

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The Lasting Impact of Leadership Horizon – Meike’s Perspectives

The Lasting Impact of Leadership Horizon – Meike’s Perspectives

by Meike Hinnenberg | Jul 2, 2025 | Leadership Impact, MDI Inside, Short Knowledge Bits | 0 comments

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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by Christoph Wirl | Jul 1, 2025 | Leadership and AI, MDI Inside, Short Knowledge Bits | 0 comments

AI in Leadership in 2025: Impressions from Leadership Horizon

You want to listen to this article? You can find an AI-generated version here:

AI in Leadership in 2025: Impressions from Leadership Horizon

Christoph wrote this article for his print magazine, Magazin Training. You can also find this article in Issue 04 2025, pages 22-23.

On May 15th, 2025, over 150 HR professionals and executives gathered at the SO/Vienna hotel to explore one of today’s most pressing leadership questions: How is artificial intelligence redefining leadership—and what new capabilities will leaders need to thrive? Hosted by MDI, the conference Leadership Horizon focused on the theme “Leading with AI Agents: Navigating the Future of Human-AI Leadership” and delivered a day packed with insight, real-world applications, and powerful dialogue.

From Managing Machines to Leading AI

“We used to lead machines during the industrial era. Now, in the age of AI, we must guide intelligent systems—and be guided by them.” With this statement, the conference captured a key shift: leadership is no longer just about people. Instead, it must evolve into a role that navigates a growing ecosystem of smart, autonomous systems. Tomorrow’s HR will lead not only humans but also AI agents.

When AI Books Flights and Writes Proposals

MDI CEO Gunther Fürstberger kicked off the day with a compelling live demo that showcased what AI agents are already capable of—or will be very soon. Our attendees watched in awe as Gunther guided an AI assistant through tasks like booking flights, generating proposals, and performing administrative work that typically takes hours—all in just minutes.

“What you’re seeing may still be a few months out,” Gunther explained, “but it’s coming. By automating routine admin work, leaders can finally refocus on what matters: guiding people, thinking strategically, and driving innovation.” The takeaway was clear: AI will not just transform work—it will reshape our very understanding of productivity and time.

Voice First: The New Human-AI Interface

Next on stage was Malcolm Werchota, Business Strategist and AI evangelist, whose session “Co-Leading with AI – How Humans, Voice, and AI Agents Shape the Future Together” tackled the nuances of human-AI collaboration. Malcolm didn’t shy away from controversy, arguing that excessive data privacy fears can stifle innovation. “Of course, data protection is important,” he said, “but we need practical frameworks that don’t paralyze progress.”

One tip that resonated strongly with the audience: start using voice interfaces to interact with AI. “Speaking to systems can be up to three times faster than typing,” Werchota noted. “Voice-first isn’t just an option—it’s becoming the norm.”

We also made sure that networking was more than an afterthought. Carefully curated meetups during breaks allowed our attendees to forge meaningful connections in a structured yet relaxed setting, sparking deeper conversations beyond casual small talk.

AI in Leadership in 2025: Impressions from Leadership Horizon

Christoph wrote this article for his print magazine, Magazin Training. You can also find this article in issue 04 2025, pages 22-23.

On May 15th, 2025, over 150 HR professionals and executives gathered at the SO/Vienna hotel to explore one of today’s most pressing leadership questions: How is artificial intelligence redefining leadership—and what new capabilities will leaders need to thrive? Hosted by MDI, the conference Leadership Horizon focused on the theme “Leading with AI Agents: Navigating the Future of Human-AI Leadership” and delivered a day packed with insight, real-world applications, and powerful dialogue.

From Managing Machines to Leading AI

“We used to lead machines during the industrial era. Now, in the age of AI, we must guide intelligent systems—and be guided by them.” With this statement, the conference captured a key shift: leadership is no longer just about people. Instead, it must evolve into a role that navigates a growing ecosystem of smart, autonomous systems. Tomorrow’s HR will lead not only humans but also AI agents.

When AI Books Flights and Writes Proposals

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“What you’re seeing may still be a few months out,” Gunther explained, “but it’s coming. By automating routine admin work, leaders can finally refocus on what matters: guiding people, thinking strategically, and driving innovation.” The takeaway was clear: AI will not just transform work—it will reshape our very understanding of productivity and time.

Voice First: The New Human-AI Interface

Next on stage was Malcolm Werchota, Business Strategist and AI evangelist, whose session “Co-Leading with AI – How Humans, Voice, and AI Agents Shape the Future Together” tackled the nuances of human-AI collaboration. Malcolm didn’t shy away from controversy, arguing that excessive data privacy fears can stifle innovation. “Of course, data protection is important,” he said, “but we need practical frameworks that don’t paralyze progress.”

One tip that resonated strongly with the audience: start using voice interfaces to interact with AI. “Speaking to systems can be up to three times faster than typing,” Werchota noted. “Voice-first isn’t just an option—it’s becoming the norm.”

We also made sure that networking was more than an afterthought. Carefully curated meetups during breaks allowed our attendees to forge meaningful connections in a structured yet relaxed setting, sparking deeper conversations beyond casual small talk.

Malcom Werchota

Conducting the AI Orchestra: What Leadership Looks Like Now

A key moment of the day was the virtual keynote by AI advisor Ayesha Khanna, livestreamed from Singapore. Her talk “Future of Work: Amplifying Human Potential in the Fourth Industrial Revolution” offered a hopeful vision of collaboration rather than replacement.

“This revolution isn’t about machines replacing humans,” she emphasized. “It’s about using technology to amplify human strengths.”

AI in Practice: The Voestalpine Case

The afternoon sessions dug deeper into implementation. Ernst Balla, HR Director at Voestalpine Metal Forming, gave a candid account of the company’s ongoing AI transformation. His talk “Insight into Voestalpine’s AI-Driven HR Transformation” laid out a modular, trial-based strategy that helped the Austrian industrial giant test, learn, and adapt fast.

Crucially, Ernst explained how early employee involvement and transparent communication helped overcome initial skepticism. His case study offered valuable lessons for HR leaders seeking to launch their own AI initiatives: successful AI integration is incremental, iterative, and above all—human-centered.

“Stop Hiring Humans?” A Thought-Provoking Provocation

One of the day’s more polarizing sessions came from Gernot Winter, co-founder of Superintelligenz GmbH. His talk, titled “Stop Hiring Humans! How, Why, and When AI Agents Will Replace Us in the Workforce”, was designed to provoke. Drawing a historical parallel, Winter referenced Pope Leo XIII, known for his stance on labor during the first industrial revolution—and jokingly suggested that the current Pope might call himself Leo XIV in response to today’s AI upheaval.

Despite the bold title, Gernot closed with a smile: “Please don’t actually stop hiring humans!” His real message: companies must prepare for a future where routine tasks are handled by AI—and human talent is upskilled for more meaningful, creative, and ethical work. “It’s not a question of if,” Gernot concluded, “but when. And new, more demanding roles will continue to emerge.”

Coaching in the Age of AI: The SAIGE Project

Later in the afternoon, our participants were introduced to SAIGE, an AI-powered coaching tool for leadership development, presented by Hamza Khan and Bailey Parnell. “We’re at a turning point in how we develop leaders,” Khan remarked. “Imagine every leader having 24/7 access to personalized feedback and support.” With SAIGE, that vision is already becoming reality.

A Real-World Use Case from PwC

Kirstin Zellmer, Leadership Ambassador at PwC Germany, shared how one of the world’s leading consultancies is embedding AI in daily leadership tasks. Her presentation, “People Manager Guide – A PwC AI-Driven Knowledge Tool”, showed how knowledge-sharing and guidance can be scaled effectively using internal AI tools.

Human vs. Machine: The Final Debate

The day closed with a high-level panel discussion on a central question: How much leadership can we delegate to AI—and how much still requires a human touch? Panelists included AI Austria board member Ruben Hetfleisch and UNIQA’s Innovation & AI Lead Barbora Dörflinger. The consensus? The future belongs to those who can strike the right balance between human intuition and machine intelligence.

Christoph Wirl

Christoph Wirl

Editor of Magazine Training

Christoph is an experienced editor with a demonstrated history of working in the education management industry. He is skilled in Small Talk, Writing, Entrepreneurship, Scuba Diving Instruction, and Public Speaking. Christoph graduated from Wirtschaftsuniversität Wien and is now editor and publisher of Magazin Training. He also wrote the book “Bullshit Busters” and is very knowledgeable on all things AI.

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AI Hears; Humans Listen: Become a Master of Attunement

AI Hears; Humans Listen: Become a Master of Attunement

by Hamza Khan | Apr 18, 2025 | Digital Transformation, Leadership and AI, Leadership in the digital transformation | 0 comments

AI Hears; Humans Listen: Become a Master of Attunement

Prefer to listen to the article? Click below to access our AI speech-generated audio. However, if you want to read it as usual, keep scrolling.

AI Hears; Humans Listen: Become a Master of Attunement

Not Black Mirror. Not Severance. The reality we’re in is starting to feel a lot more like Her.

According to eye-opening research published in Harvard Business Review, the most common use of generative AI isn’t writing code, synthesizing data, or even creating content.

It’s companionship.

Let that sink in. At the frontier of one of the most advanced technological revolutions in history, people aren’t just looking for answers or performance enhancements—they’re looking to feel heard.

The Burnout I Didn’t Catch

At this year’s Leadership Horizon, my partner Bailey Parnell and I are set to announce the groundbreaking AI product we’re building at SkillsCamp. It’s the fastest-moving venture I’ve ever been a part of. 

In my previous companies, we’d maybe pivot once or twice a year. Now we’re pivoting multiple times a day. Strategies shift at breakfast. Features change by lunch. Priorities rearrange by dinner.

It’s exhilarating. It’s also exhausting.

In the middle of this whirlwind, we missed something important—one of our teammates was struggling to keep up. The constant change had become disorienting. They were slipping into the early stages of burnout. And here’s the part that really hit me:

I wrote the book on beating burnout.

The Burnout Gamble is explicitly about how leaders can prevent precisely this kind of thing. On top of that, during my keynote speech at Leadership Horizon a few years back, I preached the gospel of human-centered leadership—of slowing down to tune in. Of attunement.

Even though I had been hearing my colleague, the truth is, I hadn’t been listening.

I had only been reacting. Optimizing. Building the future of leadership. But not asking, in the way that only a human can:

“Kaif al hal?” (كيف الحال؟)

It’s Arabic for “How are you?”—but it literally translates to: How is your heart doing? AI can’t ask that. At least not yet. And even when it can, it won’t mean it.

Everything’s Amazing. Nobody’s Happy.

Over the past year, we’ve seen an explosion in AI capabilities. From Claude and DeepSeek to custom GPTs, agents, copilots, and beyond—we’ve unlocked tools that can write like us, talk like us, and think faster than us. And yet amid all this brilliance, morale is shaky. Anxiety is rising. Relationships at work feel more fragile. Loneliness is still trending. 

Somehow, despite everything being amazing…nobody seems to be fully happy. And that’s because the problem isn’t just about what’s being built. It’s about what’s being missed.

Become a Master of Attunement

Stephen Covey once said:

“The biggest communication problem is that we do not listen to understand. We listen to reply.”

These days, we don’t even reply—we prompt. We’ve become so good at asking AI the right questions, we’ve forgotten how to ask each other the real ones.

So here’s an idea: Let AI be your productivity engine. Your logic brain. Your pattern-detecting genius. But let you be the soul. The resonator. The attuner. The etymology of attunement is “to bring into harmony.” It’s not about fixing people—it’s about feeling with them.

Become a Master of Attunement

In leadership, this means mastering what I call the Listening Ladder:

Emotion

Response Style

Example

Pity

Recognize

“That’s awful. At least it’s almost Friday.”

Sympathy

Care

“I’m sorry to hear that. That sounds tough.”

Empathy

Feel

“I hear you—it sounds like this workload is really taking a toll.”

Compassion

Act

“Let’s find a way to ease your load together.”

Attunement isn’t passive. It’s an active presence. It’s emotionally intelligent alignment. It’s not just knowing what someone is going through—it’s standing with them in it, and saying: I’m here.

But Isn’t AI Getting Good at This?

Sure, AI can detect emotional cues through text or tone. It can simulate concern. It can even give decent advice. But there’s a line it can’t cross: It doesn’t feel.

AI won’t sit in silence with a teammate who just got a life-changing diagnosis. It doesn’t notice how someone’s voice slightly trembles when they mumble “I’m fine.” Machines can’t experience shame, grief, awe, or love.

And it can’t ask, from the heart: How is your heart doing?

So yes, AI may one day outpace us in logic, language, and even innovation. But the sacred skill of soul-to-soul listening—that remains deeply, beautifully human.

The Future of Leadership

Ray Kurzweil prophesied that the 21st century won’t bring 100 years of progress—it will bring the equivalent of 20,000.

But no matter how far we go, one truth stays constant: People don’t quit companies. They quit leaders who don’t listen.

As the future of work accelerates, the leaders who thrive won’t be the ones who outpace AI. They’ll be the ones who partner with AI—and lead like humans.

Consider this your invitation to become irreplaceable. Learn to attune. Ask real questions. Listen with your whole body. Respond with presence. And the next time someone on your team seems off, don’t just check their output.

Check their heart.

Hamza Khan

Hamza Khan

Keynote Speaker

Hamza Khan is a best-selling author, award-winning entrepreneur, and globally-renowned keynote speaker whose TEDx talk “Stop Managing, Start Leading” has been viewed over two million times.

The world’s leading organizations trust him to enhance modern leadership, inspire purposeful productivity, nurture lasting resilience, and navigate constant change.

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Leadership in Transition: Insights from Leadership Horizon 2024

Leadership in Transition: Insights from Leadership Horizon 2024

by Christoph Wirl | Jul 4, 2024 | Leadership and AI, Leadership Tips, MDI Inside | 0 comments

Photo credits: Jenny Theolin

 

Leadership in Transition: Insights from Leadership Horizon 2024

This was our Leadership Horizon Conference of 2024! Click here and immerse yourself in the Highlights.

Leadership in transition: Insights from Leadership Horizon 2024

Here you can find the original report by magazine training editor Christoph Wirl: 

A guide to the most effective strategies for integrating artificial intelligence – We report on the Leadership Horizon conference.

MDI’s Leadership Horizon Conference retook place this year on June 4 at SO/Vienna and was dedicated to the increasing fusion of leadership practices and Artificial Intelligence (AI). It served as a platform for the exchange of practical findings and strategies for integrating AI into management processes.

Around 160 HR experts and managers from various industries came together to share their experiences and visions. The event was English-language and hybrid, allowing international participants to attend both online and in person.

The impressive line-up of speakers was consistently compelling. The event offered a successful mix of inspiring keynotes, practice-oriented workshops, and insightful business cases.

The two sides of the AI coin

CEO Gunther Fürstberger opened the conference with a virtual avatar, created with the HeyGen program’s help, and looked very similar to the real speaker. He spoke about the importance of artificial intelligence for both companies and managers.

He showed both sides of the coin: For example, many people have already been killed through the use of AI-controlled drones in war zones. At the same time, however, the use of artificial intelligence in medicine has already saved the lives of millions of people or significantly improved their health.

AI therefore has a clear impact on our society, which is why we need to develop and use this technology responsibly. We need to harness the potential of AI for the benefit of humanity while carefully weighing up the potential risks and ethical challenges.

Photocredits: Jenny Theolin

AI is not magic

When the conference moderators asked the audience who was not yet sufficiently familiar with the topic of artificial intelligence, more than half of the attendees responded. This just goes to show that we need to engage more with this forward-looking topic.

Afterward, magician Tobias Grünfelder from the Abracademy fascinated the participants and drew parallels between the art of magic and artificial intelligence:

“AI is not magic – we just need to look behind the scenes. Just as professional magicians do not rely on a single trick, we should also take a holistic approach to the application of artificial intelligence. It is not enough to see AI as some kind of magic bullet that solves all problems by itself. Instead, it is important to understand the underlying mechanisms and functioning of AI systems to be able to use them effectively and responsibly.”

AI-powered leadership

Johannes von Mikulicz-Radecki also emphasized the complexity of using AI in leadership in his presentation “AI-Powered Leadership”:

“The time when you could experiment with AI and try out different use cases is over. Now it’s about putting what you’ve learned into practice.”

This requires managers to clearly understand the possibilities and limitations of artificial intelligence and the ability to strategically integrate this technology into their business processes. In addition, von Mikulicz-Radecki emphasized the general relevance of AI tools in companies:

“Artificial intelligence is too important to be left only to management.”

Photocredits: Jenny Theolin

An insight into UNIQA’s AI strategies

Later, keynote speaker Cristina Anculescu showed how UNIQA has optimized the employee experience with the help of AI tools. She reported that 47% of Gen Z employees surveyed said they received better career advice from AI than from their managers. For example, some upload their LinkedIn profile to ChatGPT and ask for suggestions for improvement.

In response, UNIQA has used AI to develop and promote individual career paths for its employees. Intelligent algorithms are used to create individual development plans. These are based on the strengths, interests, and goals of individual employees.

The downside of flexible home office arrangements

After the lunch break, renowned expert and speaker Ryan Jenkins was connected live from the USA. The technical implementation went smoothly so that both the participants on-site and the online participants were able to follow his presentation without any problems. He addressed the importance of interpersonal connections within a company:

“When employees feel isolated, they are up to seven times more likely to work inefficiently.”

He noted that due to excessive use of our smartphones and online media, we are often unable to build and maintain relationships with our colleagues. In this day and age, people are more independent of each other than ever before, making it harder to make and maintain connections. Jenkins therefore warned that the often overly flexible home office regulations should be critically scrutinized.

Photo credits: Jenny Theolin

Dangers and fears around AI

Rebecca Johnson presented the possibility of learning using AI avatars and introduced a specific tool that enables particularly effective practice of negotiation skills.

In her final presentation, Bailey Parnell tried to allay the audience’s fears of artificial intelligence. She explained basic concepts such as machine learning and deep learning and introduced various AI tools, including Canva, Suno, Copilot, and image generation software.

She also addressed the potential dangers of AI and discussed possible job losses due to automation, the loss of privacy and the problem of bias in AI systems.

Conclusion on Leadership in Transition: Insights from Leadership Horizon 2024

The Leadership Horizon Conference 2024 once again proved to be a great event for executives who want to integrate AI into their corporate strategies. It provided valuable insights into current trends and inspired thinking about the future role of technology in leadership.

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