The article by Mohammad S. Jalali and Ali Akhavan explores the integration of AI language models, particularly ChatGPT, into qualitative research. They revisit a previous study on obesity prevention interventions, where they developed a causal loop diagram (CLD) through in-depth interview data analysis. By using ChatGPT to replicate this process, they compare its results with their original approach. The study highlights that ChatGPT can improve efficiency and reduce bias in data processing but also reveals limitations in context understanding. The findings suggest that AI language tools are best used as augmentative tools rather than replacements for human analytical tasks. The authors discuss the potential of AI to enhance qualitative research capabilities, emphasizing the need for further investigation into the ethical and technical challenges associated with AI language models. They conclude that while AI can provide a more objective and efficient analysis, researchers should remain critical and cautious about their reliance on these tools, ensuring that human analytical skills are not replaced but complemented.The article by Mohammad S. Jalali and Ali Akhavan explores the integration of AI language models, particularly ChatGPT, into qualitative research. They revisit a previous study on obesity prevention interventions, where they developed a causal loop diagram (CLD) through in-depth interview data analysis. By using ChatGPT to replicate this process, they compare its results with their original approach. The study highlights that ChatGPT can improve efficiency and reduce bias in data processing but also reveals limitations in context understanding. The findings suggest that AI language tools are best used as augmentative tools rather than replacements for human analytical tasks. The authors discuss the potential of AI to enhance qualitative research capabilities, emphasizing the need for further investigation into the ethical and technical challenges associated with AI language models. They conclude that while AI can provide a more objective and efficient analysis, researchers should remain critical and cautious about their reliance on these tools, ensuring that human analytical skills are not replaced but complemented.