Impact of Generative AI Adoption on Employee Productivity and Job Satisfaction

Abstract

Generative artificial intelligence (GenAI) tools can produce text, summaries, code, ideas and other work outputs, creating new opportunities to change how employees complete tasks. However, the effect of adoption may depend on task type, employee experience, training, trust in AI outputs, and organisational support. This study proposes to examine the relationship between generative AI adoption, employee productivity and job satisfaction among employees in selected organisations in Andhra Pradesh, India. A quantitative, cross-sectional survey design is proposed, using a structured questionnaire and five-point Likert scales. GenAI adoption is treated as the main independent variable, employee productivity and job satisfaction as outcome variables, and AI literacy, perceived usefulness, and organisational support as potential explanatory factors. Descriptive statistics, reliability analysis, correlation and regression are proposed for analysis; mediation or moderation tests may be used if justified by the final model and sample size. This document provides a research framework and data-collection plan. No empirical findings are claimed because respondent data have not yet been supplied.