This thesis, conducted at the School of Engineering in Jönköping within the field of informatics, explores the impact of artificial intelligence (AI) on the work processes of IT managers in small and medium-sized enterprises (SMEs). AI has significantly transformed the growth and success potential of SMEs in the IT sector by enabling customized business plans, models, and marketing strategies, thus providing competitive advantages through enhanced efficiency and productivity. The study emphasizes the opportunities AI brings for innovation and development of new business models, allowing entrepreneurs to introduce groundbreaking ideas and challenge established industries.

Despite the benefits, implementing AI poses considerable challenges, including substantial investments and associated risks such as leaks of confidential data. For IT managers in SMEs, AI plays a crucial role in enhancing growth and success by improving operational efficiency, productivity, and developing new products and services. However, the adoption of AI necessitates relevant expertise and continuous learning within organizations.

This qualitative study, through semi-structured interviews, investigates how AI affects the daily work processes of IT managers in SMEs. It integrates three theoretical models: Diffusion of Innovations (DOI), Technology-Organization-Environment (TOE), and Technology Acceptance Model (TAM), to provide a comprehensive understanding of the internal and external factors influencing AI adoption. The findings indicate that AI positively impacts work efficiency, decision-making, and skill development, but also highlights the importance of ethical considerations and data security. The research contributes valuable insights for SMEs looking to integrate AI into their operations effectively.

Keywords: Artificial Intelligence, SMEs, IT, Tech, Innovation, Efficiency, Productivity, Data Security, Ethical Considerations