Abstract
The purpose of this study is to review the existing literature on the impact of artificial intelligence (AI) on business growth. With the rapid advancements in Al technology, businesses across various sectors are increasingly adopting Al to enhance their operations, improve efficiency, and drive growth. This literature review aims to provide a comprehensive understanding of how Al influences different aspects of business growth and the challenges and opportunities it presents. It enables organizations to automate repetitive tasks, optimize processes, and gain valuable insights from large volumes of data. Al-driven technologies, including machine learning, natural language processing, and robotics, have the potential to revolutionize various industries by enabling predictive analytics, personalized customer experiences, and efficient resource allocation. However, the adoption of Al is not without challenges. Organizations must address concerns related to data privacy, security, and algorithmic bias. Additionally, the integration of Al into existing business models requires strategic planning, investments in infrastructure, and workforce upskilling. The study highlights the need for businesses to develop comprehensive Al strategies that align with their overall objectives, foster collaboration between human employees and Al systems, and promote ethical Al practices. This paper concludes by emphasizing the importance of embracing Al technologies as a means to achieve sustainable business growth. It provides recommendations for organizations to navigate the complexities of Al implementation successfully. By leveraging Al's capabilities effectively, businesses can gain a competitive edge, unlock new revenue streams, and adapt to the evolving market landscape.
Publisher
Centre for Business and Economic Research
Subject
General Economics, Econometrics and Finance
Cited by
1 articles.
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