3-day Virtual Seminar

AI's Impact on Today's Multigenerational Workforce

Overview

This workshop explores how Artificial Intelligence is reshaping today's multigenerational workforce and offers actionable strategies for successful organizational adoption. Key elements of the session include: 

• Generational Insights: Examines how different age groups-from Baby Boomers to Gen Z-approach AI adoption, tech skill gaps, job insecurity, and overall workplace well-being
  
• Disruption vs. Augmentation: Highlights how AI impacts entry-level roles for younger workers while augmenting experienced staff who leverage soft skills and domain expertise
  
• Cross-Generational Collaboration: Discusses methods for building tailored training programs that foster cross-generational knowledge transfer and team cohesion

Why you should Attend

Attending this workshop on AI's impact across a multigenerational workforce is essential for students of any age because AI is fundamentally reshaping the modern workplace. For younger students/workers (Gen Z), it provides crucial insight into navigating entry-level job displacement risks as initial tasks become automated, while learning to combine digital proficiency with complex, strategic skills.

For mid-career and older students/workers (Gen X and Baby Boomers), a seminar helps address tech skill gaps, provides tailored training support, and demonstrates how to leverage hard-to-replicate domain expertise and soft skills alongside AI tools. Ultimately, learning how different generations adopt AI fosters better collaboration, improves well-being, and prepares all students to stay competitive in an evolving workforce.

Areas Covered in the Session

Here is a summary of the key areas covered in the workshop:

• Generational Landscape: Breakdown of the five generations currently in the workplace-Baby Boomers, Gen X, Millennials (Gen Y), and Gen Z-including their approximate birth years and distinct workplace characteristics
  
• AI Adoption & Familiarity: Comparison of how different age groups adopt AI, ranging from lowest adoption rates among Baby Boomers to frequent, natural usage as digital natives among Gen Z
  
• Job Disruption vs. Augmentation: Analysis of how AI presents displacement risks for younger workers in entry-level roles versus augmenting older workers who rely on tacit knowledge and soft skills
  
• Skill Gaps & Tailored Training: Strategies to bridge tech skill gaps for older employees while helping younger workers build strategic skills beyond basic automated tasks. 
  
• Well-Being & Job Satisfaction: Evaluation of AI's balance between reducing work strain and causing job security stress across different age cohorts
  
• Ageism & Algorithmic Bias: Examination of risks where AI systems in recruitment or performance management may inadvertently favor younger candidates
  
• Cross-Generational Collaboration: Frameworks and guiding questions to improve team function, leverage diverse strengths, and facilitate knowledge transfer

Who Will Benefit

• Human Resources & Talent Management
  
  • Chief Human Resources Officer (CHRO)
    
  • Vice President / Director of Human Resources
    
  • VP / Director of Talent Management & Acquisition
    
  • Chief People Officer (CPO)
    
  • Learning & Development (L&D) Director / Manager
    
  • Workforce Planning Director
    
• Executive Leadership & Strategy
  
  • Chief Executive Officer (CEO) / Chief Operating Officer (COO)
    
  • Vice President / Director of Organizational Development
    
  • Business Transformation Director / Strategy Director
    
  • Managing Director / General Manager
    
• Technology & Digital Transformation
  
  • Chief Technology Officer (CTO) / Chief Information Officer (CIO)
    
  • Vice President / Director of Artificial Intelligence Strategy
    
  • Digital Transformation Leader / Innovation Director
    
• Team & People Management
  
  • Department Heads & Senior Managers leading multigenerational teams
    
  • People Operations Manager
    
  • Change Management Director / Specialist