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Change Management for AI (Leading in the AI Age)
Rating: 3.9 out of 5(112 ratings)
875 students

Change Management for AI (Leading in the AI Age)

Manage Resistance, Align Strategy, & Drive AI Adoption Practical Guide: Leading Change with Artificial Intelligence AI.
Created bySteve Ballinger, MBA
Last updated 5/2025
English
English [Auto],Turkish [Auto],

What you'll learn

  • Understand the unique challenges and opportunities that generative AI presents for organizations and the workforce.
  • Apply proven change management strategies to lead AI adoption with clarity, empathy, and purpose.
  • Navigate employee resistance and fear with communication techniques rooted in psychology and trust.
  • Design and execute scalable change plans that include pilots, governance, measurement, and reinforcement.
  • Develop a future-ready leadership mindset focused on ethical AI use, continuous learning, and human-AI collaboration.

Course content

1 section • 15 lectures • 1h 31m total length

  • AI And Change Management5:44

    Lead ai driven change with a structured, people centered approach that aligns generative ai with long term goals, reducing disruption and role ambiguity.

  • Aligning AI with Strategic Business Goals5:46

    Align ai with strategic business goals to drive sustainable value and prevent distractions. Identify priorities like revenue growth and customer experience, map stakeholders, and craft a strategic ai roadmap.

  • Business Opportunities & Risks of Generative AI7:05

    Drive productivity and personalization with generative AI, automating routine tasks and enabling rapid product prototyping. Mitigate risks through governance, ethics, AI literacy, and proactive change management.

  • Ethical Considerations In The Emerging AI World6:45

    Implement generative AI responsibly by aligning with human values, protecting privacy, ensuring fairness, and maintaining transparency to build trust and organizational integrity.

  • Navigating Resistance to AI7:41

    Navigate AI resistance by transforming fears into engagement through empathetic dialogue, co-design pilots, and transparent communication. Position AI as a tool to augment human capabilities and collaboration.

  • Engaging Stakeholders and Influencers7:00

    Engage stakeholders across influence roles to drive ai adoption, empower champions, and align governance, ethics, and training for successful ai integration.

  • Upskilling and Enabling the Workforce4:36

    Empower your workforce with a comprehensive upskilling strategy that bridges capability gaps and fosters inclusive AI adoption. Tailor learning journeys to roles, using diverse formats and ongoing support.

  • Measuring Success and Sustaining Momentum5:38

    Define success across business, user, customer, and ethics outcomes, establish regular evaluation and feedback loops with storytelling to sustain artificial intelligence momentum and continuous improvement.

  • What is Generative AI -Key Concepts and Examples7:17

    Explore generative ai, its core models and applications—from content creation to code generation and personalized customer interactions. Understand large-scale models like ChatGPT and DALL-E and their ethical implications.

  • AI Use Case Examples6:46

    Explore how generative AI transforms industries, from marketing, healthcare, and finance to education and government, boosting productivity, innovation, and competitive advantage, while guiding effective change management and strategy.

  • Fundamentals of Change Management6:41

    Explore people-centered change strategies for AI-driven transformations, using the ADR model, Kotter's eight-step process, and Lewin's three-step model to build readiness, reduce resistance, and sustain adoption.

  • Case Studies and Lessons Learned From Other Organizations5:38

    Explore real-world ai adoption across industries through diverse case studies, highlighting change management practices such as pilots, feedback loops, stakeholder engagement, governance, ethics, and leadership sponsorship for faster, trusted implementation.

  • Future of Work and Leadership in the Age of AI7:01

    Generative AI reshapes work and leadership, demanding adaptability, ethical reasoning, and trust as humans and AI collaborate, with dynamic portfolios of capabilities guiding cross-functional tasks.

  • Final Thoughts and Next Steps6:02

    Lead AI-driven change by aligning with business goals, upskilling teams, and establishing governance, measurement, and storytelling that foster psychologically safe spaces and continuous learning.

  • Let's keep the learning going!1:50

Requirements

  • No prerequisites other than the desire to lead change through this exciting yet very challenging time.

Description

Are You Ready to Lead the Most Transformative Shift of Our Time?

Generative AI is revolutionizing how work gets done—automating content creation, decision support, and collaboration. But without effective change management, even the most powerful AI tools fail to gain traction. That’s where you come in.

This course equips you with the strategies, frameworks, and tools you need to successfully lead organizational change during AI adoption. Whether you're a leader, manager, strategist, consultant, or innovator—this course will help you align AI initiatives with business goals, navigate resistance, and create a culture of trust, learning, and responsible innovation.

What You’ll Learn

  • How to manage resistance, reduce fear, and inspire AI adoption

  • Ways to align AI use cases with strategic priorities

  • How to build stakeholder buy-in and cross-functional momentum

  • Techniques to upskill teams and foster a culture of learning

  • Practical tools for governance, measurement, and ethical leadership

Course Curriculum

Each lesson is designed to give you actionable insights, real-world examples, and a practical approach to change management in the AI era.

Welcome & Course Overview

Set the stage for what you’ll learn, why it matters, and how to get the most from this course.

What is Generative AI? (Key Concepts and Examples)

Understand how generative AI works, what makes it different from traditional AI, and where it's being used today—from marketing and HR to product design and support.

Why Change Management is Critical for Generative AI

Explore why AI adoption fails without strategic change leadership—and how you can be the difference between confusion and clarity.

Aligning AI with Strategic Business Goals

Learn how to tie AI initiatives directly to measurable business outcomes—whether it’s efficiency, innovation, customer experience, or growth.

Navigating Resistance to AI

Discover how to identify, understand, and overcome resistance—using empathy, psychology, and smart engagement strategies.

Engaging Stakeholders and Influencers

Map out and engage the people who can make or break your AI adoption efforts, from executives to frontline influencers.

Designing and Executing the AI Change Plan

Learn how to roll out AI tools with clarity and structure—starting with small pilots and scaling with agility and confidence.

Upskilling and Enabling the Workforce

Explore how to build learning programs that empower people to confidently use AI in their roles, and ensure no one is left behind.

Measuring Success and Sustaining Momentum

Track what matters—like adoption, outcomes, and sentiment—and keep enthusiasm and learning alive long after the rollout.

Case Studies and Lessons Learned from Real Organizations

Learn from real companies across industries who’ve adopted AI successfully, and apply their lessons to your own journey.

The Future of Work and Leadership in the Age of AI

Understand how leadership is evolving—and what it takes to lead with empathy, ethics, and strategic clarity in a machine-augmented world.

Final Thoughts and Next Steps

Walk away with a personal action plan, practical reminders, and the confidence to begin transforming your team or organization.

Who This Course Is For

  • Leaders and managers driving AI initiatives

  • HR, L&D, IT, and operations professionals

  • Change agents and consultants guiding digital transformation

  • Anyone curious about leading human-centered AI adoption

Lead the Future of Work—Enroll Now

Change is coming—be the leader who makes it work.

Who this course is for:

  • Business Leaders and Executives – Seeking to align AI initiatives with organizational goals and drive transformation at scale.
  • Middle Managers and Team Leads – Responsible for supporting adoption, managing frontline resistance, and translating strategy into action.
  • HR and L&D Professionals – Focused on workforce readiness, upskilling, and fostering a culture of continuous learning.
  • IT, Data, and AI Project Owners – Needing cross-functional collaboration to roll out AI tools effectively and ethically.
  • Change Management and Organizational Development Consultants – Guiding clients through digital and AI-driven transformation projects.
  • Innovation, Strategy, and Digital Transformation Teams – Driving AI experimentation and looking for structured change management practices.

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