Managing Resistance to AI-Driven Change

Address fear and skepticism around automation and AI transformation.

Pillar

People – Mindset, Leadership & Change

Overview

This course equips leaders and change managers with strategies to effectively manage resistance to AI adoption. Participants will learn to identify common fears, communicate AI benefits clearly, and foster a supportive environment that encourages acceptance and enthusiasm for AI-driven transformation.

Learning Objectives

Participants will be able to:

• Recognize sources of resistance to AI and automation

• Develop communication plans that address fears and misconceptions

• Use change management techniques tailored to AI initiatives

• Engage employees to build trust and reduce skepticism

• Create actionable strategies for sustaining AI adoption

Target Audience

• Change managers and HR professionals

• Team leaders and department heads

• AI project sponsors and business executives

• Communication and organizational development specialists

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive workshops and role-playing

• Case study analysis of AI adoption challenges

• Group discussions and action planning sessions

Materials Provided

• Resistance Management Toolkit

• Communication templates and scripts

• Case study compendium on AI transformation

• Certificate of completion

Outcomes

• Effectively address and reduce resistance to AI initiatives

• Communicate AI benefits with clarity and empathy

• Build a culture of openness and continuous learning

• Sustain momentum for long-term AI transformation success

Outline / Content

Day 1: Understanding Resistance to AI Change

• Common fears and sources of skepticism

• Psychological and organizational factors in resistance

• Impact of resistance on AI projects

Day 2: Communication Strategies for AI Adoption

• Crafting clear, empathetic messages

• Addressing myths and misconceptions

• Engaging stakeholders through storytelling

Day 3: Change Management Techniques

• Applying proven change management models

• Involving employees in the AI journey

• Building champions and advocates for AI

Day 4: Sustaining AI Adoption and Momentum

• Monitoring and addressing ongoing resistance

• Continuous education and feedback loops

• Final workshop: Developing your AI resistance management plan