This paper investigates the familiarity and perceptions of business faculty members regarding the applications of machine learning (ML) in higher education in Jordan, with a focus on its perceived benefits. Data were collected from 63 faculty members among public and private universities in Jordan using an online questionnaire distributed by Google Forms. The results of the current research demonstrate limited understanding of technical terminology and tools among most faculty members. Further, a moderate level of familiarity with ML concepts is revealed. This might be because of the low adoption of ML technologies in teaching practices, with 37% of respondents never using ML tools in their instruction. The current article recommends increasing the access to ML tools, conducting tailored training courses, and incentivized adoption strategies to narrow the gap between familiarity and practical usage. These efforts are significant for providing faculty members with the skills and resources needed to enhance teaching and learning through ML.