Human-Artificial Intelligence Synergy (AI): Leveraging Generative AI(GAI) to Empower the IT Workforce
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Abstract
The study investigates the human-AI synergy on performance within the IT sector workforce, focusing on generative AI (GAI) tools. Adopting the Task-Technology Fit Theory, the research evaluates how AI characteristics (adaptivity, iteration capabilities, learning ability, quality of content) and human traits (self-efficacy, personal innovativeness) influence AI reliance and performance outcomes. A sample survey of 148 middle-level IT employees reveals that AI reliance significantly enhances performance through improved task knowledge validation and higher self-efficacy. While AI’s adaptive and iterative features do not substantially impact reliance, task knowledge validation, and personal innovativeness emerge as crucial factors. The findings highlight the importance of integrating AI effectively into task processes and supporting employee confidence to optimize performance. This research contributes in understanding AI’s role in workplace efficiency and suggests areas for future exploration, including industry-wide studies and qualitative assessments of AI reliance.