The aim explored artificial intelligence skill needs for sustainable development of mechanical technology students in universities in Rivers State. Only three of the artificial intelligence skills need were considered and they are; Automation technology skill needs, Robotics technology skill needs and Additive manufacturing technology skills need. These three formed the objectives, research questions and hypotheses for this study. This study adopted a descriptive survey research design. The population of the study was 40 respondents, comprising 30 Lecturers and 10 Instructors in the two Universities in Rivers State. The study was a census study as the entire population was studied. The instrument for data collection was a structured questionnaire titled “Artificial Intelligence Skill Needs for Sustainable Development of Mechanical Technology Students”. The instrument was structured on five point likert type rating scale of Strongly Agree (SA), Agree (A), Undecided (U), Disagree (D) and Strongly Disagree (SD). The instrument was subjected to face-validation by three experts and its reliability index was .76 calculated using the Cronbach alpha reliability test. The statistical package for social science (SPSS) was used to analyze the data gathered and the findings of the study revealed that respondents agreed that automation technology skills, robotics technology skills and additive manufacturing technology skills are artificial intelligent skills needed for sustainable development of mechanical technology students in universities in Rivers State. It was recommended that Universities offering mechanical technology programme should integrate AI-related coursework, for easy learning of machining, data analytics, also to enable the enhancement of practical, hands-on training using AI-driven tools and simulation software. By so doing, mechanical technology students in the universities in rivers state will be sustainably developed for tasks ahead for survival and for real world of work.