The Impact of Artificial Intelligence Adoption on The Productivity of Young Workers Aged 21 to 30.

The dataset was developed to examine the impact of artificial intelligence adoption on the productivity of young workers aged 21 to 30. The analysis includes models with six variables: intended use of artificial intelligence, frequency of artificial intelligence usage, level of artificial intelligence understanding, quality of work results, time efficiency, and young workers’ productivity. Data were collected using a structured questionnaire administered to 464 respondents with work experience or current employment in DKI Jakarta between October 8 and 11, 2025. Structural Equation Modeling (SEM) was employed to analyze the relationships among the variables and to test the hypotheses. The analytical approach in this study includes model specification, assessment of construct validity and reliability, Heterotrait-Monotrait ratio (HTMT), R Square, Standardized Root Mean Square Residual (SRMR), F Square, and path analysis.