Leadership and Change in the AI era

Day 1: Leading People in the Age of AI

Emotional Intelligence, Trust, and Psychological Safety

Focus of the Day

Day 1 focuses on the human side of AI adoption. Managers learn how employees may react to AI, including enthusiasm, fear, confusion, resistance, overconfidence, or disengagement. Participants explore how emotionally intelligent leadership can help teams feel safe, supported, and motivated during technological change.

The day emphasizes that AI adoption is not only a technical challenge. It is also a leadership challenge involving trust, communication, self-awareness, empathy, and resilience.

Session 1: The Leadership Challenge of AI

Key Topics

• How AI is changing managerial work, team roles, and employee expectations.
• Why AI adoption often creates uncertainty, anxiety, and resistance.
• The difference between managing technology and leading people through change.
• Common leadership mistakes during AI adoption.
• The role of managers in building confidence and accountability.

Practical Activity

Participants identify how AI is currently affecting, or may soon affect, their team, department, or organization. They map the main opportunities, concerns, and leadership challenges.

Participant Output

AI Leadership Challenge Map
A simple overview of the AI-related people challenges in the participant’s own work environment.

Session 2: Emotional Intelligence for AI-Driven Change

Key Topics

• Self-awareness: understanding your own assumptions, fears, and leadership habits around AI.
• Self-management: staying calm, credible, and constructive during uncertainty.
• Empathy: understanding how different employees experience AI adoption.
• Relationship management: communicating with trust and clarity.
• Organizational awareness: reading informal signals, concerns, and resistance.

Practical Activity

Participants analyze employee reactions to AI adoption using realistic workplace personas, such as the skeptic, the anxious employee, the enthusiastic early adopter, the passive observer, and the overloaded manager.

Participant Output

Employee Reaction and Support Map
A tool for identifying how different employees may respond to AI and what leadership supports each group's needs.

Session 3: Building Psychological Safety for AI Experimentation

Key Topics

• Why psychological safety matters when teams are learning new AI tools.
• How fear of looking incompetent prevents experimentation.
• Encouraging responsible trial and error.
• Creating space for questions, mistakes, and learning.
• Setting boundaries between experimentation and risky AI use.
• Building a team culture of trust, curiosity, and accountability.

Practical Activity

Participants design team norms for safe AI experimentation, including what employees may test, what must be reviewed, and when escalation is required.

Participant Output

Team AI Experimentation Guidelines
A short set of practical rules for safe, responsible, and confident AI use within a team.

End-of-Day Reflection

Participants answer three questions:

• Where does my team need more clarity about AI?
• Where does my team need more psychological safety?
• What leadership behavior do I need to strengthen first?

Day 2: Leading Culture and Change in AI-Driven Organizations

Culture, Resistance, Diversity, and Change Management

Focus of the Day

Day 2 focuses on how managers can lead cultural and organizational change during AI adoption. Participants learn how formal structures, informal networks, cultural assumptions, and team habits influence whether AI adoption succeeds or fails.

The day connects classic change leadership with practical AI implementation challenges.

Session 4: Culture and AI Adoption

Key Topics

• How organizational culture shapes AI adoption.
• Cultures of control versus cultures of experimentation.
• How informal institutions, habits, and unwritten rules influence behavior.
• How national and organizational culture affect trust in AI.
• Hofstede’s cultural dimensions applied to AI adoption.
• Diversity as a source of stronger AI decision-making and risk detection.

Practical Activity

Participants assess their organization’s culture and identify cultural enablers and barriers to AI adoption.

Participant Output

AI Culture Readiness Snapshot
A practical assessment of whether the current culture supports or blocks responsible AI adoption.

Session 5: Managing Resistance to AI-Driven Change

Key Topics

• Why employees resist AI adoption.
• Fear of replacement, loss of expertise, surveillance, reduced autonomy, and change fatigue.
• How to distinguish rational resistance from emotional resistance.
• How to communicate AI change with honesty and credibility.
• The role of informal influencers and social networks.
• Turning resistance into useful feedback.

Practical Activity

Participants work through an AI change scenario where employees resist the introduction of AI-supported workflows. They identify concerns, stakeholders, informal influencers, and communication actions.

Participant Output

AI Change Stakeholder and Resistance Map
A practical tool for identifying who is affected by AI change, what they may worry about, and how to engage them.

Session 6: Leading AI Change in Practice

Key Topics

• Different approaches to leading organizational change.
• Choosing the right change approach based on urgency, risk, and readiness.
• Creating a clear case for AI adoption.
• Communicating what AI will and will not change.
• Supporting managers and employees during transition.
• Building momentum through small wins.
• Measuring adoption and learning progress.

Practical Activity

Participants develop a communication plan for a real or realistic AI change initiative.

Participant Output

AI Change Communication Plan
A clear message structure explaining why AI is being introduced, what will change, what will not change, what support is available, and what employees are expected to do.

End-of-Day Reflection

Participants answer three questions:

• What resistance should I expect in my team?
• Which informal influencers can help with adoption?
• What message about AI change must I communicate more clearly?

Day 3: Leading Performance, Motivation, and Future-Ready Teams

Situational Leadership, Motivation, Role Redesign, and Action Planning

Focus of the Day

Day 3 focuses on how managers can adapt their leadership style, motivate employees, and redesign work as AI changes tasks and responsibilities. Participants learn how to lead employees with different levels of AI readiness and how to maintain morale, autonomy, performance, and purpose.

The course ends with a practical 90-day AI leadership action plan.

Session 7: Situational Leadership for AI Readiness

Key Topics

• Different leadership styles for different employee needs.
• How to lead AI beginners, skeptics, confident users, and advanced users.
• When to direct, coach, support, or delegate.
• Avoid over-supervision when employees need space to learn.
• Avoiding under-supervision when AI use creates risk.
• Setting clear goals for AI-supported work.
• Evaluating performance when AI contributes to output.

Practical Activity

Participants assess fictional employee profiles and decide which leadership approach fits each person’s AI readiness level.

Participant Output

AI Readiness Leadership Matrix
A tool for matching leadership style to employee AI confidence, competence, motivation, and risk level.

Session 8: Motivating Employees in AI-Enabled Workplaces

Key Topics

• Key motivators of human behavior beyond money.
• How AI affects autonomy, mastery, purpose, recognition, and job identity.
• How to motivate employees to learn and experiment with AI.
• How to avoid employees feeling replaced, deskilled, or monitored.
• Designing more meaningful work by using AI to reduce low-value tasks.
• Recognizing responsible AI use and learning behavior.
• Improving job satisfaction and team morale during AI transition.

Practical Activity

Participants redesign a role or task affected by AI, identifying what AI can support, what humans should own, and how the work can become more meaningful.

Participant Output

AI Role and Motivation Redesign Canvas
A practical tool for redesigning work so that AI improves productivity without weakening motivation, ownership, or purpose.

Session 9: Building a 90-Day AI Leadership Action Plan

Key Topics

• Translating course insights into action.
• Setting leadership priorities.
• Defining team AI goals.
• Building psychological safety and learning routines.
• Communicating expectations.
• Supporting different employee readiness levels.
• Measuring progress.
• Sustaining responsible AI adoption.

Practical Activity

Participants create a 90-day action plan to lead AI adoption within their team, department, or organization.

Participant Output

90-Day AI Leadership Action Plan
A practical roadmap covering people, culture, communication, motivation, skills, governance, and performance.

Final Course Deliverables

By the end of the three days, each participant will have created a practical AI Leadership Toolkit, including:

1. AI Leadership Challenge Map
2. Employee Reaction and Support Map
3. Team AI Experimentation Guidelines
4. AI Culture Readiness Snapshot
5. AI Change Stakeholder and Resistance Map
6. AI Change Communication Plan
7. AI Readiness Leadership Matrix
8. AI Role and Motivation Redesign Canvas
9. 90-Day AI Leadership Action Plan

Joël Vuadens-Chan

Why Joël Vuadens-Chan Is the Ideal Trainer for the Leadership and Change in the AI era Course

He is a globally recognised leadership trainer, executive coach, and international keynote speaker. He helps leaders and teams elevate performance through clarity, collaboration, and human-centred leadership. Over more than 36 years, he has built corporate experience across banking, aviation, IT, insurance, and education. Therefore, he brings a rare blend of strategic insight, behavioural skill, and cross-cultural intelligence to every engagement.

Joël is the founder and CEO of Swiss Leaders Group. He delivers high-impact leadership development programmes and executive coaching. He also manages organisational transformation initiatives across Europe, Asia, and the Middle East. His approach combines practical tools, evidence-based frameworks, and immersive facilitation. This empowers leaders to navigate complexity. It also helps them strengthen culture and drive meaningful results.

Learn more about Joël Vuadens-Chan

Registration Fee: CHF 150 (part of the overall course fee). This fee is non-refundable if the participant cannot attend.

Refund Policy:

• The course fee is invoiced 3 months prior to the course start.
• 100% refund if canceled 4 weeks or more before the course start.
• 30% refund if canceled 2 weeks before the course start.
• No refund if canceled less than 2 weeks before the course start.