APSIRI Research: When Generative AI Makes Us Think Alike — Homogenization in Entrepreneurship Education
Generative artificial intelligence has entered classrooms with remarkable speed, and nowhere is its arrival more striking than in entrepreneurship education — a field built on creativity, originality, and the ability to see what others have missed. A new research outcome from the Asia-Pacific Social Innovation Research Institute (APSIRI), led by Hongyi Huo with Faiq Aziz and Mageswari Kunasegaran, investigates a subtle but important risk: the association between widespread generative AI use and the homogenization of ideas.
The concern at the heart of the study is easy to state and hard to dismiss. Generative AI systems are trained on vast bodies of existing material and tend, by design, to produce outputs that reflect common patterns. When many students draw on the same tools, prompted in similar ways, the danger is that their ideas begin to converge — that the very technology meant to augment creativity quietly narrows it. In a field where differentiation and originality are the whole point, this would be a serious problem.
The research examines this phenomenon along three lines: its manifestations, its potential mechanisms, and its implications. In terms of manifestations, it considers the ways homogenization might appear — in the similarity of business ideas, the convergence of language and framing, the recurrence of the same templates and assumptions. In terms of mechanisms, it explores why this might happen: the statistical tendencies of the tools themselves, the ways students use them, and the educational environments that shape that use. And in terms of implications, it asks what homogenization would mean for the development of entrepreneurial capability and for the diversity of ventures that emerges from it.
A particularly valuable feature of the study is its refusal to settle for a simple verdict. Generative AI is not cast as either saviour or villain. The tools can genuinely support learning — helping students explore, draft, and refine. The risk lies not in the technology as such but in how it is used and how education responds. The study therefore directs attention to the pedagogical question: what must educators do to harness the benefits of generative AI while actively preserving the diversity and originality on which entrepreneurship depends?
The answers it points toward involve intentional design. Rather than banning these tools or adopting them uncritically, educators can teach students to use AI as a starting point rather than a destination, to interrogate and depart from its suggestions, and to bring their own perspective, context, and judgement to bear. The goal is a partnership in which the technology expands rather than replaces human creativity.
The relevance of the work extends well beyond entrepreneurship education. The same dynamic — powerful, widely shared AI tools quietly pulling outputs toward a common centre — is at play across writing, design, research, and many other domains. Understanding and counteracting it is among the central challenges of education and creative work in the age of generative AI.
This research contributes to APSIRI’s work on inclusive and responsible technology. By examining not only what AI can do but what it may inadvertently undo, the Institute seeks to support an approach to technology in education that protects human diversity, agency, and creativity.