AMTP Proceedings 2026
Document Type
Conference Proceeding
Publication Date
Spring 2026
Abstract
This research examines how individuals’ mindsets shape their use of generative AI (gen AI). In a study with 348 undergraduate students, participants imagined writing a graduate school Statement of Purpose and indicated whether and how they would use AI tools. Among participants who indicated they would use AI, fixed-mindset students were more likely to rely on AI for brainstorming tasks, such as idea generation, whereas growth-mindset students were more likely to use AI for writing aids, such as grammar or spell checking. A significant interaction emerged between mindset and AI use type on anticipated guilt: growth-mindset students anticipated greater guilt when using AI for brainstorming compared to fixed-mindset students, but no differences were observed for writing aids. These findings extend implicit theories to technology adoption, showing that mindsets shape usage choices. Practically, the findings suggest that AI tools can be tailored to appeal to users with different mindsets.
Recommended Citation
Smale, MyungJin; Martirosyan, Yuri; and Zhang, Hui, "Mindset Matters: How Growth and Fixed Mindsets Shape Consumer Adoption of AI" (2026). AMTP Proceedings 2026. 65.
https://digitalcommons.georgiasouthern.edu/amtp-proceedings_2026/65