A SWOT analysis of AI-generated video in education: implications for future scenarios

Purpose This study aims to examine current evidence on the educational use of artificial intelligence (AI)-generated video (AIGV) through a SWOT analysis and to outline plausible future scenarios for its adoption. Design/methodology/approach Relevant studies were identified through a structured literature search, and their findings were organized into strengths, weaknesses, opportunities and threats. Findings The analysis reveals that AIGV offers strengths, including rapid and efficient video production, accessibility and scalability, vivid visual storytelling and short-term learning outcomes comparable to human-made videos. However, key weaknesses include misinformation and content inaccuracies, limited teaching and social presence and blurred boundaries between authentic and synthetic content. Opportunities include multilingual delivery, personalized and adaptive learning, reflective learning through AI-generated scenarios and growing interest in AIGV across educational fields. Threats include ethical concerns related to autonomy, privacy and copyright; risks of biased representations; and trust and governance challenges limiting adoption. Research limitations/implications This study highlights the need for further research on how educators and institutions perceive and respond to the proposed future scenarios for AIGV adoption. Practical implications The findings can inform educators and institutions in making responsible decisions about the adoption of AIGV in education. Originality/value This paper contributes to the emerging literature on AIGV in education by applying a SWOT lens to synthesize current evidence and outline plausible future scenarios for its adoption.