Redefining Mentorship in the Artificial Intelligence Age: The Rise of Reverse Reskilling

§ Jain (Deemed-to-be University)

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Redefining Mentorship in the Artificial Intelligence Age: The Rise of Reverse Reskilling

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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 The results highlight a growing understanding that leadership and emotional intelligence are not outdated—they’re essential.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.

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Redefining Mentorship in the Artificial Intelligence Age: The Rise of Reverse Reskilling

B. Infancy Reena
B. Infancy Reena <p>JAIN (Deemed-to-be University)</p>