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This research aims to examine the effects of developments in Artificial Intelligence (AI) and open-access software on the visions of academicians. The research was conducted using the phenomenology pattern, one of the qualitative research methods, and semi-structured in-depth interviews were preferred during the data collection process. Descriptive and coding-based qualitative content analysis methods were used in the research process. Emerging themes include the use of artificial intelligence in higher education; situation analysis of the use of AI in academics (SWOT); and strategic dimension of using AI in higher education. These themes explain in detail the potential effects of AI and open-access software on the strategy and competitiveness dimensions of academics' visions. It is expected that the study will make significant contributions to understanding the changes that AI and open-access software will create in the academic world and how these technologies can be integrated into the way academics work. [ABSTRACT FROM AUTHOR]