Abstract
Technological transformation has consistently reshaped the business environment, evolving from industrial revolutions to today's wave of digital innovations such as social media, mobile technology, cloud computing, analytics, and the Internet of Things (SMACIT). In this context, artificial intelligence (AI) stands as the forefront of this evolution, driven by the development of advanced tools like generative AI and large language models (e.g., ChatGPT). This symposium examines whether AI represents a significant "AI transformation" or is simply an extension of earlier digital shifts. Key questions include: (1) What distinguishes AI from other digital technologies? (2) Is AI a driver of a new transformation or merely a fleeting trend? (3) How could AI change intricate processes, such as strategic decision- making, and alter organizational management? Panelists will address these topics by connecting viewpoints from Information Systems (IS), Strategy (STR), and Entrepreneurship (ENT). AI’s capability to replicate human cognitive abilities poses challenges to existing models in decision-making, workforce dynamics, and organizational frameworks. Despite skeptics deeming AI as overstated, advocates emphasize its capacity to automate and enhance human skills, revolutionizing knowledge-driven fields and offering deeper insights for decision-making. Nevertheless, obstacles persist, especially in implementing AI for complex tasks while navigating its transformative potential alongside inherent risks. This symposium promotes interdisciplinary discussions among top scholars to clarify the complexities surrounding AI’s transformative capacity. By uniting perspectives across disciplines, it aspires to develop a future research agenda that explores AI’s strategic, organizational, and societal effects, deepening our comprehension of this pivotal technological advancement.