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<p>This study investigates the impact of Artificial Intelligence (AI) on society, business, and management, using a qualitative approach centered on the analysis of interviews and a review of literature. Text mining techniques were applied through the KH Coder tool, allowing for a detailed exploration of how AI is transforming these three dimensions. The results reveal significant changes in management practices, deep economic impacts, and relevant social changes brought about by the rapid adoption of AI. The originality of this study lies in the combination of qualitative analysis with the exploration of textual data, providing a comprehensive view of the ethical and practical implications of AI. It also acknowledges limitations, such as the rapid pace of technological development and the potential bias in the perceptions collected. This work contributes to a better understanding of the challenges and opportunities presented by AI, and suggests pathways for ethical and effective integration.</p>

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From risk to reward: AI’s role in shaping tomorrow’s economy and society

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月24日

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  • Tomás Rosa,
  • Leandro Pereira,
  • José Crespo de Carvalho,
  • Rui Vinhas da Silva,
  • Ana Simões

摘要

This study investigates the impact of Artificial Intelligence (AI) on society, business, and management, using a qualitative approach centered on the analysis of interviews and a review of literature. Text mining techniques were applied through the KH Coder tool, allowing for a detailed exploration of how AI is transforming these three dimensions. The results reveal significant changes in management practices, deep economic impacts, and relevant social changes brought about by the rapid adoption of AI. The originality of this study lies in the combination of qualitative analysis with the exploration of textual data, providing a comprehensive view of the ethical and practical implications of AI. It also acknowledges limitations, such as the rapid pace of technological development and the potential bias in the perceptions collected. This work contributes to a better understanding of the challenges and opportunities presented by AI, and suggests pathways for ethical and effective integration.