Try for free
More In Common
More In Common

The Future of Work: Adapting Leadership for Generational Diversity

06 March 2026 30:51 More In Common Podcast

Listen to episode

About this episode

Summary

Join us as Kelly Brinkman, a generational dynamics expert, explores the nuances of workplace stereotypes, generational differences, and how leadership can adapt to a rapidly evolving workforce. This episode offers research-backed insights and practical strategies for fostering collaboration across generations.


keywords

generational differences, workplace stereotypes, leadership, collaboration, work culture, remote work, generational traits


key topics

Generational stereotypes and their impact on workplace dynamics
How leadership can adapt to generational differences
The role of technology and remote work in shaping new work norms

sound bites

"Every individual is a unique snowflake."
"Leadership must be flexible and adaptable."
"Generational cycles repeat every 80 years."


Chapters

00:00 Generational Dynamics and Cultural References
05:21 Understanding Stereotypes and Their Impact
10:02 Navigating Workplace Communication Across Generations
15:27 The Evolution of Work Expectations
19:59 Leadership in a Multigenerational Workplace
25:09 Future Generations and Societal Cycles

resources

BridgeWorks - Generational Insights - https://bridgeworks.com/
The Fourth Turning by William Strauss and Neil Howe - https://www.amazon.com/Fourth-Turning-Annealing-Crisis-Change/dp/0761514001
ChatGPT by OpenAI - https://openai.com/blog/chatgpt/


 guest links

LinkedIn - https://www.linkedin.com/in/kellybrinkman/
BridgeWorks - https://bridgeworks.com/

 

More In Common Website | https://www.moreincommonent.com/ Instagram | https://www.instagram.com/moreincommonent Twitter | https://twitter.com/MoreInCommonent Facebook | https://www.facebook.com/moreincommonpod

 

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 More In Common. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support