This study aims to analyze the students's interest in translation career in the artificial intelligence (AI) era and the growing need for translation curriculum reform. It is observed that the students' interest in translation carrer fluctuate due to the AI's advancement, especially in its application to machine translation. Being aware of this trend will give valuable insight to the translation education reform. A quantitative-qualitative mixed method approach was employed. This study involves 45 students from the English Literature Department at the University of Technology Yogyakarta (UTY) during the 2023-2024 academic year. Participants were selected using a stratified random sampling technique and included fourth-year students (who have taken 4 translation subjects in the curriculum), third-year (two subjects), and second-year (not yet taken any). Data collection was conducted through questionnaires and semi-structured interviews. The questionnaire assessed students' interest in translation careers and their view on translation instruction, while the interview provided deeper insight on those matters from six respondents representing the positive and negative view. The findings showed that 26,6% of respondents are interested in a translation career, 55,6% are neutral, and 15,53% are not interested. It indicated that only less than one-third of the respondents were interested in a translation career. Most of them were students from higher level. It is also found that more than a half of the respondents were undecisive; most of them were from the second and third-year. It is typical because students from fourth-year tend to focus more on career planning. The study also highlights the need to reform translation curricula by integrating machine translation into classroom instruction, as a computer assisted as well as automatic. The findings of this study suggest the need for further research on developing an AI-based model for teaching translation.