Leading Change in an AI-Driven Workforce is a one-day workshop designed to help leaders guide their teams through the cultural and human transitions that come with AI adoption. As organizations face increasing pressure to deliver high-impact results through new technologies, the real differentiator lies in how effectively leaders manage change. This session explores the psychological dynamics of workforce transformation, frameworks for leading change, and the communication strategies needed to foster trust, reduce resistance, and reinforce a resilient culture. Leaders will leave equipped to drive adoption, sustain engagement, and lead their workforce through complex, high-stakes transitions with empathy, clarity, and purpose.
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Course Overview
Course Outcomes
- How to understand and anticipate employee responses to AI-related change
- How to apply change management frameworks
- How to communicate with clarity and empathy during transformation
- How to manage resistance and foster buy-in
- How to avoid common pitfalls in leading AI-related change
Business Need
As agencies adopt AI and automation to increase efficiency and meet rising demands, the success of these efforts hinges not just on technology but on people. AI disrupts established roles, workflows, and workplace dynamics, often triggering uncertainty, resistance, and cultural strain. Employees may question their value, struggle to adapt, or disengage in the absence of clear communication and leadership. Even the most sophisticated systems can stall if the human element is overlooked. Without strong change management and a culture that supports adaptability, innovation efforts risk failing to deliver the productivity and mission outcomes they promise. To fully realize the benefits of AI-driven transformation, organizations must prioritize the human experience of change. Leaders need the tools to manage transitions effectively, foster trust, and guide their teams through ambiguity with clarity and empathy. Change management frameworks provide a structured way to address resistance, engage stakeholders, and reinforce a culture of continuous learning. When leaders invest in culture, communication, and psychological safety alongside technology, they create the conditions for sustained change -- unlocking not just operational efficiency, but workforce resilience and mission success.
Course Schedule
Typical Course Duration
Virtual: 4 hours
In-person: 8 hours
Delivery Methods
Number of participants
- in-person: 20
- virtual: 20
Course Details
Field of Study:
Artificial Intelligence
Course Level:
- Team Leader
- Mid Level Leader
- Senior Level
Learning Methods:
- Discussion
- Exercises/Activities