Artificial Intelligence and Entrepreneurship: Challenges and Opportunities

Dear Colleagues,

Much like the industrial revolution and the creation of the Internet, generative artificial intelligence (GenAI) represents a major disruptive force to ‘business as usual’. We invite submissions for a Special Issue examining the transformative impact of generative artificial intelligence (GenAI) on entrepreneurship. As GenAI increasingly functions as a "digital co-founder" that automates operational tasks and guides venture creation (Brown, 2024), and as widespread adoption promises substantial productivity gains across industries (Arnon, 2025), understanding its strategic deployment has become critical for scholars and practitioners alike.

Despite its potential, GenAI integration presents significant challenges as well as opportunities. Research demonstrates that while these systems generate high volumes of ideas, they replicate human cognitive biases, underscoring the continued necessity of human–AI collaboration for critical evaluation and to attain optimal innovation outcomes (Desdevises, 2025). Organizations must also navigate escalating governance complexities, including cybersecurity vulnerabilities, data privacy concerns, and evolving regulatory landscapes (Tonello, 2025). Furthermore, AI's intersection with sustainable business performance reveals how regulatory frameworks moderate the effectiveness of AI-driven business model innovations (Shen & Badulescu, 2025).

This Special Issue seeks to advance scholarly understanding of how organizations can strategically leverage GenAI to accelerate entrepreneurial processes while effectively managing associated risks. We welcome empirical studies, theoretical contributions, and systematic reviews that address the multifaceted relationship of GenAI with entrepreneurial ecosystems and processes.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• GenAI's role in democratizing venture creation and reducing early-stage capital barriers.
• AI's impact on enterprise productivity, sustainable performance, and organizational design.
• Human–AI collaboration in creativity, ideation, and mitigating cognitive biases.
• The emergence of AI-native business models and strategies for sustainable competitive advantage.
• Governance frameworks, risk management, and regulatory challenges in AI deployment.

Submission Guidelines

We welcome original research articles and comprehensive reviews. All submissions will undergo rigorous peer review following the journal's standard procedures.

References

1. Arnon, A. (2025). The projected impact of generative AI on future productivity growth. Penn Wharton Budget Model.
2. Brown, S. (2024). How generative AI is changing entrepreneurship. MIT Sloan.
3. Chalmers, D., MacKenzie, N.G., & Carter, S. (2021) Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution Entrepreneurship Theory & Practice, 45(5).
4. Desdevises, J. (2025). The paradox of creativity in generative AI: High performance, human-like bias, and limited differential evaluation. Frontiers in Psychology, 16.
5. Giuggioli, G. & Pellegrini, M.M. (2022) Artificial intelligence as an enabler for entreprenrus; a systematic literature review and an agenda for future research, International Journal of Entrepreneurial Behavior & Research, 29(4).
6. MIT Management Executive Education (2025) How artificial intelligence is used for entrepreneurship. https://executive.mit.edu/how-artificial-intelligence-is-used-for-entrepreneurship.html
7. Shay, J.P., Kelley, D., Majbouri, M. & Davenport, T.H. (2025) How ambitious entrepreneurs can use AI to scale their startups. Harvard Business Review.
8. Shen, T., & Badulescu, A. (2025). Generative AI and sustainable performance in manufacturing firms: Roles of innovations and AI regulation. Sustainability, 17(19), 8661.
9. Tonello, M. (2025). AI risk disclosures in the S&P 500: Reputation, cybersecurity, and regulation. Harvard Law School Forum on Corporate Governance.
10. Urjiarte, S., Baier-Fuentes, H., Espinoza-Benavides, J., Inzunza-Mendoza, W. (2026) Artificial intelligence technologies and entrepreneurship: a hybrid literature review, Review of Managerial Science, 29. https://doi.org/10.1007/s11846-025-00839-4 .
11. Usman, F.O., Eyo-Udo, N.L., Etukudoh, E.A., Odonkor, B., Ibeh, C.V. & Adegbola, A. (2024) A critical review of AI-drivn strategies for entrepreneurial success. International Journal of Management & Entrepreneurship Research. 6(1).

We look forward to your contributions to this important and timely discourse.

Dr. Frances M. Amatucci
Dr. Liang Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Administrative Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• entrepreneurship
• generative artificial intelligence
• design thinking
• Industry 4.0
• new venture creation
• entrepreneurial processes