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Combating Brain Rot: Reimagining HR for the Distracted Generation with AI and Adaptive Learning Systems

 

 

SARAH.V B.COM ACCOUNTING & FINANCE STELLA MARIS COLLEGE 23/UAFA/137
sarahvincent0306@gmail.com
VERONICA.J B.COM ACCOUNTING & FINANCE STELLA MARIS COLLEGE 23/UAFA/141
veronicajayaraj2006@gmai.com

 

 

Abstract
The main purpose of this research is to achieve employee’s efficiency in organization where efficient employees directly contribute to organizational goals, growth and profits. As people are the driving force behind every organization, it becomes essential to understand their challenges. Especially, in this distracted generation where brain rot, short attention spans, and digital fatigue are common. this study aims to explore how Artificial intelligence (AI) solutions can help human resource (HR) practices adapt to these challenges and support both employee and students, who are future employees. This study uses primary data approach, collecting responses through google forms and in person surveys. Over 124 participants shared their perspectives, and the data was analyzed using chi-square, spearson correlation, descriptive statistics. findings show how strong interest in AI- driven solutions such as gamified daily tasks with rewards, AI- based monitoring tools for detecting early sign of stress (with privacy assured), and adaptive micro-learning platforms that delivers short 2- minute lessons in the forms of videos, quizzes, and reels. Respondents were also open to AI assistants that track work patterns and suggests breaks or reminders. These results highlights that people are not only aware of “brain rot” but are willing to embrace AI solutions to overcome it. Overall, the study spotlight that the employee efficiency is the backbone of any organization. if the employees are distracted and lack focus, organizational reputation and performance will be affected drastically. By combining AI into HR systems, organizations can help foster focus, engagement, and wellbeing of the employees. This research insist that AI-based adaptive systems are not only appealing
but also necessary for both current employees and future generations of students.

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