Influence Analysis of Generative AI Usage Factors on Software Developers

The growth of the Artificial Intelligence (AI) ecosystem has recently become increasingly crowded with the birth of generative AI technology, which has rapidly triggered changes in the way people communicate, create and do their daily work. Generative AI can help software development complete lines of code, write suggestions according to the correct writing structure, and even provide questions and answers according to the discussed context. However, according to McKinsey & Company in a survey in 2023, although the use of generative AI in the technology industry is relatively high compared to other industries, regular use for work needs is recorded at only 14% [1]. Despite many benefits and potential, generative AI has risks that are no less great, namely regarding security factors such as data bias, dependency and violations related to privacy data and leaks of company confidential information. So, how do software developers in Indonesia accept the presence of generative AI technology? This study involved respondents from various companies involved in the software development cycle and used the PLS-SEM model to investigate the Technology Acceptance Model (TAM). The results of SEM revealed that only a few variables had significant relationship direction, such as Intention to Use towards Actual System Usage, Perceived Ease of Use towards Perceived Usefulness, Perceived Security towards Intention to Use and Perceived Usefulness towards Intention to Use.