Purpose Artificial intelligence (AI) is deemed to have a significant impact as a value driver for the firms and help them get an operational and competitive advantage. However, there exists a lack of understanding of how to appropriate value from this nascent technology. This paper aims to discuss the approaches toward knowledge and innovation strategies to fill this gap. Design/methodology/approach The discussion presents a review of the extant strategy and information systems literature to develop a strategy for organizational learning and value appropriation strategy for AI. A roadmap is drawn from ambidexterity and organizational learning theories. Findings This study builds the link between learning and ambidexterity to propose paths for exploration and exploitation of AI. The study presents an ambidextrous approach toward innovation concerning AI and highlights the importance of developing as well as reusing the resources. Research limitations/implications This study integrates over three decades of strategy and information systems literature to answer questions about value creation from AI. The study extends the ambidexterity literature with contemporary. Practical implications This study could help practitioners in making sense of AI and making use of AI. The roadmap could be used as a guide for the strategy development process. Originality/value This study analyzes a time-tested theoretical framework and integrates it with futuristic technology in a way that could reduce the gap between intent and action. It aims to simplify the organizational learning and competency development for an uncertain, confusing and new technology.

This study examines the extant literature on Construal Level Theory through bibliometric analysis that traces the path of research from 1998 to November 2019. It uses the Scopus database to identify emerging trends, seminal and most-cited papers, authors, universities, and countries that contributed to the development of the theory. A total of 680 papers from 1445 authors, were published in as many as 322 journals. The results indicate that ‘Journal of Experimental Social Psychology,’ ‘Journal of Personality and Social Psychology,’ and ‘Personality and Social Psychology Bulletin,’ were the three most productive sources of knowledge for this theory. The results show that over time, the discussion has progressed from theory to application in different areas of decision sciences, psychology, and management with a recent trend towards application in sustainability. This is the first literature review that has been conducted on the Construal Level Theory using bibliometric analysis. This study attempts to describe, explore possibilities, and provide a roadmap for future research in this field.