Homavazir, MalcolmHomavazir, ZuleikaGambhir, VinimaDikshit, Sukanya2025-05-222025-05-2220230972-0766https://atlasuniversitylibraryir.in/handle/123456789/813ISMEThis research paper aims to identify the push and pull factors that contribute to the emergence of micro and macro trends in artificial intelligence (AI) across various industries and domains. The study explores the factors that drive the adoption and development of AI technologies, leading to the formation of unique trends within specific sectors. By understanding these factors, organizations can gain insights into the forces shaping AI trends and make informed decisions regarding their AI strategies. Through an extensive review of existing literature, this paper analyzes the push factors, such as advancements in technology, increasing data availability, and rising demand for automation and efficiency. These factors create a favorable environment for the growth and adoption of AI in different industries. On the other hand, the pull factors, including industry-specific needs, market competition, and regulatory requirements, drive the demand and application of AI technologies within specific domains. The research examines case studies and empirical evidence from diverse industries, including healthcare, finance, marketing, human resources, and more. It identifies commonalities and differences in the push and pull factors that influence AI trends across these sectors. The analysis reveals that while there are shared drivers like technological advancements and data-driven decision-making, there are also industry-specific factors that shape AI trends. The findings of this research provide valuable insights for businesses, policymakers, and researchers interested in understanding the dynamics of AI trends. By recognizing the unique factors driving AI adoption in different industries, organizations can develop tailored strategies and investments to harness the potential of AI effectively. Additionally, policymakers can utilize this knowledge to shape regulations and policies that foster responsible and ethical AI implementation. In conclusion, this research highlights the importance of understanding the push and pull factors that contribute to micro and macro trends in AI. By identifying these factors, organizations can stay ahead of the curve and leverage AI technologies to drive innovation, improve efficiency, and gain a competitive edge in their respective industries.enartificial intelligencemicro trendsmacro trendspush factorspull factorsindustriesdomainsArticle