Title: Exploring the role of generative AI in entrepreneurial opportunity recognition: a TAM-based approach

Authors: Shakil Sajed; Sayma Mehezabin Bably; S.M. Rifat; Sheikh Muhammad Tahmid; Md. Noor Un Nabi; Imtiaz Masroor; Hazera Amin Meghla; Md. Nur Alam

Addresses: Business Administration Discipline, Khulna University, Khulna-9208, Bangladesh ' Business Administration Discipline, Khulna University, Khulna-9208, Bangladesh ' Business Administration Discipline, Khulna University, Khulna-9208, Bangladesh ' Business Administration Discipline, Khulna University, Khulna-9208, Bangladesh ' Business Administration Discipline, Khulna University, Khulna-9208, Bangladesh ' Human Resource Management Discipline, Khulna University, Khulna-9208, Bangladesh ' Business Administration Discipline, Khulna University, Khulna-9208, Bangladesh ' Business Administration Discipline, Khulna University, Khulna-9208, Bangladesh

Abstract: What happens when the next generation of entrepreneurs taps into the power of artificial intelligence to identify opportunities that others would miss? With the further development of generative artificial intelligence (GAI) tools, it will be possible to change the perception of entrepreneurs and how they find a way to exploit opportunities. Although these technologies are gaining popularity, the effects of these technologies on entrepreneurial thinking have not been thoroughly addressed. This study focuses on the effect of the adoption of generative artificial intelligence (GAI) on the capability of university students to detect entrepreneurial opportunities. Adopting the technology acceptance model (TAM) as an analytical tool, the research evaluates the impact of the perceptions of ease of use and usefulness of GAI on its adoption and entrepreneurial opportunity recognition. The study presents fresh insights regarding the emergence of artificial technology and entrepreneurship with relevance to educationists, policymakers, and innovation centres that strive to realise the next generation of entrepreneurs to apprehend their full potential.

Keywords: generative artificial intelligence; GAI; entrepreneurial opportunity recognition; technology acceptance model; TAM; AI adoption; entrepreneurial education.

DOI: 10.1504/IJGAIB.2026.151807

International Journal of Generative Artificial Intelligence in Business, 2026 Vol.1 No.1/2, pp.85 - 102

Received: 31 Jul 2025
Accepted: 06 Aug 2025
Published online: 20 Feb 2026 *