Investment in education and training programs that give people the skills and knowledge required to work with AI and other emerging technologies is crucial if we are to realize the full promise of AI. Over the last decade, artificial intelligence (AI) has made great strides. Machine learning has come a long way recently, especially in the areas of deep learning and reinforcement learning. In this study, we construct a basic model that connects recent developments in artificial intelligence (AI) to a microeconomic theory of task generation. The review's findings shed light on the questions and areas that need further investigation so that artificial intelligence (AI) capabilities may be developed and integrated into business/IT plans to improve different corporate value streams. Only by carefully embracing and applying these innovative technologies will businesses be able to win in the digital transformation alignment of the modern day. Purpose: To identify the factors influencing the Artificial Intelligence in business decision making Research design/Methodology: The study is an empirical one conducted with the 250 employees. The study was conducted in the month of January 2023. The sample respondents are selected using the convenient sampling method. The opinion of the respondents towards the role of AI in the industry has been observed using the questionnaire (google form). Findings: The use of AI in business decisions, however, has the potential to cause ethical, legal, and societal problems due to issues like algorithmic prejudice, data privacy, and the loss of jobs. Companies should think carefully about these concerns and make ethical decisions while using AI.

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