Challenges of Artificial Intelligence and Quantum Potential in the Digital Economy: A Literature Review

Laura Sanz Martín, Javier Parra Domínguez, Guillermo Rivas, Alexander Lipton and Juan Manuel Corchado

Chapter 5 in Transactions of ADIA Lab:Interdisciplinary Advances in Data and Computational Science, 2025, pp 141-152 from World Scientific Publishing Co. Pte. Ltd.

Abstract: The latest technologies, driven by advances such as quantum computing or generative artificial intelligence (AI), are transforming organizations of all kinds, including businesses. Navigating through emerging technologies is key for the digital economy. Thus, the motivation behind this study is to provide a better insight into the role of AI and quantum technology in the digital economy. With this aim, a systematic review has been conducted of 44 articles, following the PRISMA methodology. The latest technologies have been extensively analyzed, from their fundamentals and theory to diverse applications. The technical requirements of the reviewed technologies have been explored as well as their impact on economic and business practices, particularly in revolutionizing business and finance data analytics. Special attention has been paid to the ethical and legal challenges, especially concerning human–AI relationships. Significant applications in sectors such as mobile networks, education, medicine, cybersecurity, and astronomy have been identified. Moreover, the article addresses the unique challenges associated with generative adversarial networks based on game theory. The importance of generative AI in improving educational methods, especially in higher education and professional training, is evidenced. It has been observed that innovative content generation applications are expected to emerge, and that scientific advancements may bring about metaverse integration. Lastly, the growing trend of delegating research processes to large language models, such as generative AI, has raised concerns about the perception of the scientific and academic community and the value of researchers’ work.

Keywords: Computational Science; Data Science; AI Applications; Climate Science; Medical Imaging; Sustainability; Interdisciplinary Research; Data Science; Mathematical and Quantitative Finance (search for similar items in EconPapers)
JEL-codes: C45 C63 G11 Q54 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789819813049_0005 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789819813049_0005 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789819813049_0005

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().