Nyongesa, Mahlon Juma2026-02-122026-02-122025https://doi.org/10.56893/pajes2025v06i02.10https://journals.aua.ke/pajes/article/view/794https://irepository.aua.ac.ke/handle/123456789/931Full Text ArticleThis study investigated AI readiness using a quantitative descriptive design with a sample of 130 faculty members. Data from a self-constructed questionnaire were analyzed using SPSS 27 and SmartPLS 4.0 for statistical treatment. Anchored on grit theory, the results show that the faculty members have a high level of AI readiness in terms of wellbeing and mental health, changing skill requirements, job automation and displacement, and low level of privacy issues. The independent samples t-test conducted to compare the AI readiness of faculty members aged 18 – 44 years and 45 – 64 years showed that younger faculty members were more ready for AI technologies than older faculty members. The Mann-Whitney U-test results and Cohen’s effect size revealed a significant difference in AI readiness for Protestants and non-Protestants, with Protestants having a higher level of readiness than their counterparts. On gender, the females had a higher level of AI readiness than the males. In terms of educational levels, postgraduate degree faculty members had a higher level of AI readiness than those with up to bachelor’s degrees.en-USArtificial intelligenceAI-readinessfacultyAdventist institutionshigher educationArticle