EIREducational Innovation Research3029-18443029-1852WHIOCE PUBLISHING PTE. LTD.10.18063/EIR.v4i1.1320ArticleTraining and Adoption of AI Technology for Sustainable Career in Vulnerable Employment Groups: A Mixed-Method Netcoincidental Analysishttps://artdesignp.com/journal/EIR/4/1/10.18063/EIR.v4i1.1320QiuYiting,ChongTet Vui,LiuWen,WuYang,KhanMd Munir Hayet,DewiDeshinta Arrova2026412026-01-26This mixed-methods study investigates the acceptance of artificial intelligence (AI) among vulnerable employment groups (freelancers, gig workers, low‑skilled workers) and the role of training in shaping their attitudes and behaviors. Based on an extended Technology Acceptance Model (TAM), we surveyed 39 individuals from vulnerable employment backgrounds and conducted in‑depth interviews with 6 participants. Quantitative data were analyzed using descriptive statistics, independent t‑tests, and reticular coincidence analysis (RAC) to visualize significant associations among TAM dimensions, training experience, and demographic variables. Qualitative data provided contextual insights into participants' perceptions. Results show generally positive attitudes, with perceived usefulness (M = 5.41) and intention to use (M = 5.49) rated highest, while actual use lagged (M = 4.93). Training experience was associated with higher perceived ease of use (p < 0.05) and behavioral intention. RAC networks revealed that positive attitudes cluster together, forming a profile of younger, experienced, trained individuals; negative attitudes were rare and linked to older age and lack of training. Interview narratives confirmed that training reduces anxiety, builds practical skills, and enhances career prospects. These findings underscore the importance of targeted AI training programs for vulnerable groups to promote digital inclusion and employability, contributing to SDG 8 (Decent Work and Economic Growth) and SDG 10 (Reduced Inequalities).AI adoption,vulnerable employment groups,AI training,reticular coincidence analysis,mixed methods,AI literacy,SDGs

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