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Is AI Worth the Hype? : The Divergent Link between AI Types
Santos Gabriel, Victoria; Müller, Lukas; Drechsler, Katharina (2025): Is AI Worth the Hype? : The Divergent Link between AI Types, in: ICIS 2025 Proceedings, Association for Information Systems, S. 1–17.
Faculty/Chair:
Title of the compilation:
Proceedings of the 46th International Conference on Information Systems (ICIS), Nashville, Tennessee, USA
ISSN:
3067-0896
Conference:
46th International Conference on Information Systems (ICIS) ; Nashville, Tennessee, USA
Publisher Information:
Year of publication:
2025
Pages:
Language:
English
Remark:
Abstract:
Even though the transformative potential of Artificial Intelligence (AI) for business operations and strategy is widely acknowledged, our understanding of which types of AI create value for companies remains limited. This study examines the relationship between different types of AI and their value over time. Using natural language processing and multivariate regression analysis on a comprehensive dataset of 461,207 AI patents, we demonstrate that value effects vary across the different types of AI and change over time. AI patents categorized as mechanical showed positive value associations in early years that reversed after 2019, whereas intuitive AI patents exhibited positive value associations throughout the observation period, with increasing effect magnitudes after 2019. This research contributes to existing literature by offering a nuanced view of AIs’ impact and practical implications for strategic AI usage and innovation in organizations.
Even though the transformative potential of Artificial Intelligence (AI) for business operations and strategy is widely acknowledged, our understanding of which types of AI create value for companies remains limited. This study examines the relationship between different types of AI and their value over time. Using natural language processing and multivariate regression analysis on a comprehensive dataset of 461,207 AI patents, we demonstrate that value effects vary across the different types of AI and change over time. AI patents categorized as mechanical showed positive value associations in early years that reversed after 2019, whereas intuitive AI patents exhibited positive value associations throughout the observation period, with increasing effect magnitudes after 2019. This research contributes to existing literature by offering a nuanced view of AIs’ impact and practical implications for strategic AI usage and innovation in organizations.
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
Activation date:
February 13, 2026
Permalink
https://fis.uni-bamberg.de/handle/uniba/113140