Abstract
The study explores the artificial intelligence (AI) divide in Egypt while considering the moderating influence of age/generation. The research compares digital natives born in the digital age vis-à-vis digital immigrants who grew up in less technologically adapted environments. The study uses the UTAUT2 model to measure how determinants of AI acceptance and digital self-efficacy impact the intentions and behaviors of 400 surveyed individuals. The results indicate that all AI acceptance determinants positively affect users’ intentions in both generations. However, social influence is more prevalent among digital immigrants, while hedonic motivation more significantly affects digital natives. Both generations prioritize performance expectancy, as well as habit and facilitating conditions, and highlight the low impact of effort expectancy. Digital self-efficacy dimensions also impact AI acceptance and use differently for each respectivegeneration. Interestingly, the study revealed an AI divide between generations. However, it proposed that governments and tech developers could reduce this divide by making AI more inclusive for all ages, which includes ensuring technology access for adults and individuals with special needs.
Published Version
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