The paper aims to discuss the potential and constraints of using artificial intelligence (AI) in academic libraries of developing countries, especially in technical institutions. It will focus on the application of AI in libraries, examine the main issues of its implementation, and suggest a strategic framework to overcome the divide between potential and the reality of the institution.
The paper is qualitative and conceptual in terms of the available literature, observations of the cases, and newly introduced practices regarding the AI implementation in the library systems. It investigates trends, applications, and obstacles to its usage, particularly in the developing section of the world.
This paper shows that AI is not uniformly adopted in developing nations because of massive obstacles, such as financial factors, absence of technological foundations, incompetent administration, skills shortages, and ineffective market solutions. Such problems are more acute in non-governmental and private institutions of higher education.
The current paper provides a context-specific and grounded scope of application of AI to academic libraries with a special focus on the state of affairs in the developing countries and on educating the population on the possibilities to close the gap between practice and innovation.
