Artificial Intelligence (AI) is a disruptive technology that affects all areas of society and economy. The focus of this study is on two aspects: First, the validation of the extended technology acceptance model (TAM) in the context of AI, incorporating the Big Five personality traits and the AI mindset; and second, an exploratory k-prototype analysis to classify AI adopters based on demographics, AI attitudes, and AI usage. The sample comprised a total of N = 1007 individuals (60% female; M = 30.92; SD = 8.63 years). Psychometric results supported the TAM, with perceived usefulness as the strongest predictor of attitudes towards AI use (β = .34, p < .001) and AI mindset scale growth as the second strongest predictor (β = .28, p < .001). Openness showed a positive relationship with perceived ease of use (β = .15, p < .001). Exploratory k-prototype analysis identified four clusters consistent with diffusion of innovations model types: early adopters (n = 218), early majority (n = 331), late majority (n = 293), and laggards (n = 165). The implications and possible explanations of the results are discussed.
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