- Video
- Audio Only
Sure, AI is reshaping how work gets done, but it’s also transforming how employees experience change. From workflow shifts to role transformations, traditional change management models are struggling to keep up.
Drushti Gandhi, HR director of change management at LinkedIn, unpacks what leaders need to know to guide teams through AI-driven change. Explore why AI requires continuous adaptation, how to design resilient change strategies, and what it takes to align people, processes, and technology to maximize business and workforce success. while protecting employee wellbeing.
This episode is sponsored by:
Related AI+HI Resources:
The AI+HI Project 2026
At The AI + HI Project 2026, you won't just hear about AI, you'll use it. From hands-on demonstrations to peer-driven innovation labs, every part of your experience is infused with AI to elevate your learning, your network, and your impact.
AI+HI Specialty Credential
Master the intersection of artificial intelligence and human intelligence to lead innovation and equip yourself with practical, ethical, and strategic tools to implement AI solutions with confidence.
The podcast is just the beginning. The weekly AI+HI Project newsletter features articles on AI trends that are redefining the future of work. Explore these must-read insights from the latest issue. Subscribe now to start turning AI+HI into maximum ROI.
News + Insights
Episode Transcript
This transcript is coming soon.
Feature Story
SHRM's AI+HI executive in residence summarizes how AI is entering a more operational phase, shifting from individual productivity tools to enterprise systems.
Enjoy on Your Favorite App
More AI Headlines from SHRM
Learn how AI can help turn HR notes into clear, consistent communications while preserving your organization’s voice and avoiding invented details.
Learn how AI can help sharpen performance goals by adding clear measures, targets and timelines while flagging vague goals, job duties and missing information.
Learn how AI can help identify duplicate candidate records, assess matching patterns and create a review queue for human-led ATS cleanup.