The Double-Edged Roles of Generative AI in the Creative Process: Experiments on Design Work

Generative AI (GenAI) promises to revolutionize creative work, but its value is not universal. Using controlled lab settings with students and real-world tests with professional designers, our research shows that GenAI is a double-edged tool. In the initial brainstorming (ideation) stage, GenAI reliably boosts creativity for all users. However, in the execution (implementation) stage, whereas novice designers continue to benefit from GenAI’s assistance, expert designers encounter inefficiencies—spending significantly more time without improving creativity, because GenAI’s methods conflict with experts’ well-established routines. For firms, this means adoption strategies must be nuanced. GenAI delivers the greatest value when applied to brainstorming, early concept development, and work by less-experienced employees. In contrast, deploying GenAI in later-stage production tasks, especially with seasoned professionals, may reduce efficiency. Managers and tool designers should avoid blanket promotion of GenAI across all tasks and instead develop targeted adoption strategies that align with employees’ expertise and the stage of the creative process. By tailoring GenAI use, organizations can harness its creative potential while minimizing risks of counterproductive outcomes.

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Publication Details

Journal
Information Systems Research
Published
2025-10-03
DOI
https://doi.org/10.1287/isre.2024.0937
Citations
5
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
10.59
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article

The Double-Edged Roles of Generative AI in the Creative Process: Experiments on Design Work

Lei Wang, Harry Jiannan Wang, Jinghui Hou, Shuai Yang et al.
5 citations
Information Systems Research
Creativity in Education and Neuroscience
10.59
article

The Double-Edged Roles of Generative AI in the Creative Process: Experiments on Design Work

Lei Wang, Harry Jiannan Wang, Jinghui Hou, Shuai Yang, Gang Wang
article en
5 citations

Abstract

Generative AI (GenAI) promises to revolutionize creative work, but its value is not universal. Using controlled lab settings with students and real-world tests with professional designers, our research shows that GenAI is a double-edged tool. In the initial brainstorming (ideation) stage, GenAI reliably boosts creativity for all users. However, in the execution (implementation) stage, whereas novice designers continue to benefit from GenAI’s assistance, expert designers encounter inefficiencies—spending significantly more time without improving creativity, because GenAI’s methods conflict with experts’ well-established routines. For firms, this means adoption strategies must be nuanced. GenAI delivers the greatest value when applied to brainstorming, early concept development, and work by less-experienced employees. In contrast, deploying GenAI in later-stage production tasks, especially with seasoned professionals, may reduce efficiency. Managers and tool designers should avoid blanket promotion of GenAI across all tasks and instead develop targeted adoption strategies that align with employees’ expertise and the stage of the creative process. By tailoring GenAI use, organizations can harness its creative potential while minimizing risks of counterproductive outcomes.

Information Systems Research
Donghua University (CN), Indiana University Bloomington (US), University of Houston (US), University of Delaware (US)
Openalex Percentile: Top 2%
Creativity in Education and Neuroscience
10.59
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The Double-Edged Roles of Generative AI in the Creative Process: Experiments on Design Work — Lei Wang, Harry Jiannan Wang, et al. · Information Systems Research (2025) | TGRS Research Map | TGRS