International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
IC-AIRCM-T3-2026
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 2
March-April 2026
Indexing Partners
Redefining Mentorship In Artficial Intelligence Age:The Rise of Reverse Reskilling
| Author(s) | Samiksha Koner, B. Infancy Reena |
|---|---|
| Country | India |
| Abstract | In today’s tech-driven workplaces, a quiet shift is taking place—one that challenges the usual idea that older employees need to constantly catch up with younger, tech-savvy colleagues. While younger professionals often come in fluent in the latest digital tools, many seasoned employees bring something just as valuable: wisdom in handling people, navigating crises, making ethical decisions, and leading with empathy. This study explores the rising trend of “Reskilling in Reverse,” where mentorship flows in the opposite direction—older workers guiding the younger generation not in coding or software, but in soft skills that are becoming even more important as AI takes over routine tasks. Through real-world stories, interviews, and workplace observations, the research shows how this kind of mentorship fosters respect, mutual learning, and stronger team dynamics. In many cases, younger employees help their mentors with digital skills in return, creating a meaningful two-way exchange. The results highlight a growing understanding that leadership and emotional intelligence are not outdated—they’re essential. Rather than a one-sided relationship, mentorship in the age of AI is becoming a partnership across generations. This paper invites leaders, educators, and organizations to rethink how learning happens at work—not just as a top-down or bottom-up process, but as a shared journey that helps everyone grow. |
| Keywords | : Reverse Reskilling, Artificial Intelligence (AI), Mentorship Model, Intergenerational Collaboration, Digital Skill Gap, Organizational Learning |
| Field | Business Administration |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-05 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
Powered by Sky Research Publication and Journals