Role of Artificial Intelligence in Shaping Employee Happiness and Employee Engagement in the Digital Economy- A Conceptual Approach

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the digital economy, significantly influencing organizational practices, workforce management, and employee experiences. The increasing integration of AI-driven technologies such as machine learning, predictive analytics, intelligent automation, sentiment analysis, and virtual communication platforms has reshaped the modern workplace. This conceptual study examines the role of Artificial Intelligence in shaping employee happiness and employee engagement in the digital economy. The study aims to explore how AI-enabled organizational systems contribute to employee well-being, job satisfaction, motivation, and organizational commitment while also identifying the challenges associated with AI adoption in workplaces. The study is based on an extensive review of existing literature related to AI-driven Human Resource Management (HRM), employee engagement, workplace happiness, organizational behavior, and digital transformation. The findings indicate that AI enhances employee happiness by automating repetitive tasks, improving communication systems, enabling personalized workflows, supporting work-life balance, and facilitating mental health and well-being initiatives. Similarly, AI strengthens employee engagement through continuous feedback mechanisms, predictive analytics, personalized learning systems, and intelligent employee support platforms. However, the literature also reveals concerns regarding job insecurity, algorithmic bias, surveillance, data privacy, and reduced human interaction in AI-driven workplaces. The study proposes a conceptual framework illustrating the interrelationship between Artificial Intelligence, employee happiness, and employee engagement in the context of the digital economy. The framework highlights the mediating role of work experience, psychological well-being, trust, and growth opportunities, along with moderating factors such as ethical AI practices, organizational culture, leadership support, and employee readiness. The study concludes that organizations adopting human-centric and ethical AI strategies can create a more engaged,