The Rise of Autonomous Enterprises: How AI is Reshaping Business Models and Market Dynamics

Abstract

This study analyzes the driving change of artificial intelligence (AI) technologies on contemporary business models and industry structures while paying close attention to the trends regarding adoption, competitive edge, and challenges to implementation. A quantitative approach to research was taken for this study which included developing a formal questionnaire and administering it to 589 respondents from various industries. The sample was stratified on age, industry, and organizational demographics. Using SPSS (Version 29), data was analyzed using descriptive and inferential statistics (means, standard deviations, chi-square, p < 0.001). Important results were presented using visual aids (bar charts, graphs, tables). Adoption of AI is almost ubiquitous  (85.2% of organizations) and there is marked improvement in operational efficiency (mean=4.5), strategic decision-making (mean=4.3), and competitiveness in the market (mean=4.7). Full integration is still low (22.2%) due to high costs (mean = 4.1), compliance with regulations (mean = 4.0), and ethical issues (mean = 3.9). There are still gaps between sectors with technology (34.8%) and finance (20.7%) taking the lead and regulated industries trailing behind. The impact of AI technologies in innovation as well as in disruption is covered thoroughly so businesses looking into adoption barriers would have practical guidance. Balanced approaches dealing with the issues of technology and ethics, the workforce, and artificial intelligence are needed.