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October 5, 2025Journal of Economics and Trade2 citationsOpen Access

AI Literacy in Business: Preparing Executives for Augmented Decision-Making

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AOAdeyemi OlatunbosunLOLoveth Itohan ObozokhaiIBIsaac Oluwaseyi Balogun

Key Points

  • AI literacy significantly improves data-driven decision-making and enhances organisational leadership.
  • The review consolidates findings from 38 papers published from 2020 to 2025, emphasizing key benefits of AI literacy.
  • Challenges like the absence of standardised executive training and time limitations hinder the adoption of AI in business.
  • Customised training programs and interdepartmental collaboration are recommended to improve AI literacy among leaders.

Abstract

This review examines the significance of AI literacy for corporate executives, highlighting its impact on enhanced decision-making and organisational leadership. As AI technologies are increasingly incorporated into business operations, leaders must cultivate the requisite abilities to utilise AI for strategic decision-making, competitive advantage, and operational efficiency. The study consolidates 38 papers published from 2020 to August 31st 2025, emphasizing the benefits of AI literacy, including greater data-driven decision-making, optimised resource allocation, and increased innovation. Nonetheless, obstacles such as the absence of standardised executive training, organisational reluctance, and time limitations hinder the extensive use of AI by business leaders. The review advocates for customised training programs, ongoing learning opportunities, and interdepartmental collaboration to enhance AI literacy among CEOs, thereby ensuring their adaptability in a swiftly changing technological environment. This study addresses the inadequately examined domain of executive AI literacy and offers practical recommendations for organisations aiming to incorporate AI into their leadership development initiatives.

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Cite This Study

Olatunbosun et al. (2025) studied this question.

synapsesocial.com/papers/68e24e60d6d66a53c247347fhttps://doi.org/10.56557/jet/2025/v10i29778
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