The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda

  • Joseph Amankwah-Amoah
  • , Samar Abdalla*
  • , Emmanuel Mogaji
  • , Amany Elbanna
  • , Yogesh K. Dwivedi
  • *Corresponding author for this work

Research output: Contribution to journalEditorial

187 Scopus citations

Abstract

Despite the debate on the potential effects of the adoption of generative artificial intelligence (AI) in modern societies in terms, there needs to be more clarity in the scholarly discourse and directions for the creative industries. In this editorial article, we discuss the potential impact of generative AI adoption on the creative industries and outline future research agendas. We argue that the successful adoption of generative AI in the creative industries lies in finding the delicate balance between maintaining human ingenuity and reaping the benefits of technological innovation. Unlike other industrial sectors, where AI primarily automates repetitive tasks, creative professionals can use generative AI as a collaborative tool to spark new avenues for creativity, streamline workflows, and accelerate creative processes. However, maintaining the human touch and authenticity that define the output of the creative industries remains a challenge for the industry and society. We examine these issues in the paper.

Original languageEnglish
Article number102759
JournalInternational Journal of Information Management
Volume79
DOIs
StatePublished - Dec 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Automation
  • Collaboration
  • Creative industries
  • Generative AI
  • Transformation

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Marketing
  • Library and Information Sciences
  • Artificial Intelligence

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