Abstract:
Artificial Intelligence has emerged as a major advancement in various industries
including the software development industry. While AI improves efficiency and
automation in the software industry, it also poses challenges among QA professionals and
developers. However, a gap exists in studying the impact of AI on the well-being of
developers and QA professionals within the development industry. This paper aims to
investigate the impact of AI on QA and development processes, as well as the challenges
it presents, by considering the psychological effects of AI adoption on the well-being and
work processes of QA specialists and developers, using burnout theory and
McDonaldization theory as analytical frameworks; in addition, to investigating the role of
organizational support with the emergence of AI. Our research revealed benefits of AI tools in terms of efficiency, speeding development and QA processes. However, several
challenges have been presented by AI, including context misinterpretation, validation
workload, and reducing human collaboration which can result in stress and pressure
leading to burnout. Additionally, insufficient organizational support and training
increases stress and exhaustion. Finally, The adoption of AI is further complicated by
ethical considerations, budgetary limitations, and data privacy difficulties.
