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This study aims to ascertain and evaluate students' productivity levels in relation to artificial intelligence (AI) literacy. The structural equation modeling (SEM) technique was used to construct and test a model based on multiple ideas regarding the information system success model. An online questionnaire was used as the research instrument in this survey-based investigation. The instruments utilized by earlier researchers served as the basis for the development of the questionnaire. The statistical programs IBM SPSS and SmartPLS 4.1.1 were used to perform descriptive and inferential analyses, including SEM. From a practical perspective, the proposed instrument can be utilized as an assessment instrument for ongoing AI literacy improvements. From a theoretical perspective, the study has created an empirically supported framework that illustrates important aspects of AI literacy that affect students' productivity. For upcoming research, researchers who specialize in evaluating AI productivity may want to use the framework. As an alternative, the framework can be expanded even more by include additional variables like organizational or socioeconomic traits.