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Harnessing reasoning-based AI for digital entrepreneurship in creative authorship

Lookup NU author(s): Dr David Grundy

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

PurposeThis paper explores the application of Chat-GPT o1, a reasoning-based generative AI (GAI) model, as a co-creation tool in the writing, self-publishing and marketing of a novel, showing how innovations in reasoning GAI have transformative potential in the creative writing industry.Design/methodology/approachIntegrating autoethnographic insights with a case study approach, the research examines how GAI-driven processes can minimise human intervention while preserving narrative coherence, structural integrity and commercial viability. A mixed-methods design was employed to capture the dual dynamics of creative innovation and market performance.FindingsFindings reveal that Chat-GPT o1 accelerates production efficiency by approximately 50-fold compared to traditional methods, seamlessly integrating digital innovation with market responsiveness. However, limitations in deep thematic integration and nuanced character development suggest that strategic human oversight remains critical.Originality/valueThis study contributes to the discourse on digital transformation by demonstrating how innovations in reasoning-based GAI can significantly alter the production and marketing processes of what would historically be considered a uniquely human artefact, the novel, offering actionable insights for authors, publishers and researchers seeking to navigate and shape the future of creative authorship.

Publication metadata

Author(s): Grundy D

Publication type: Article

Publication status: Published

Journal: Artificial Intelligence in Education

Year: 2026

Volume: 2

Issue: 2

Pages: 1-21

Online publication date: 19/11/2025

Acceptance date: 21/07/2025

Date deposited: 01/12/2025

ISSN (electronic): 3049-5474

Publisher: Emerald Publishing Limited

URL: https://doi.org/10.1108/AIIE-03-2025-0038

DOI: 10.1108/AIIE-03-2025-0038

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