Artificial Intelligence as a Double-Edged Sword in Higher Education: A SWOT Analysis

Abstract

The issue of how higher education is to deal with the rapid adoption of artificial intelligence presents a strategic paradox. On one hand, AI demonstrates transformative potential for personalized learning and efficiency, but also very serious issues, which include questions of academic integrity, ethical issues, and faculty de-professionalization. This tension puts forth a major challenge for institutional leaders who, at present, do not have a clear picture of how to approach these issues. This paper addresses the problem through a systematic SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, which looks at the two faces of AI in the academic setting. This study is based on recent research that maps internal strengths (for instance, adaptive learning) and weaknesses (for instance, overdependence) against external opportunities (for instance, education for all) and threats (for instance, algorithmic bias). The paper finds that AI’s main strengths also present its greatest threats, thus it is a “double-edged sword” issue. For example, while automation - a strength - enhanced efficiency, it also led to faculty deskilling and de-professionalization, which are very real weaknesses. The paper concludes with a call for a proactive and broad-scale strategy from higher education institutions. It recommends a dialectical approach that one that recognizes and operates within these contradictions, and urges universities to establish robust governance policies, invest in faculty training, and prioritize pedagogical values over technological solutions in the pursuit of a responsible and sustainable future for AI in academia.