Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030

Authors/Creators

Laurie Hughes, Edith Cowan UniversityFollow
Reza Kiani Mavi, Edith Cowan UniversityFollow
Masoud Aghajani, Edith Cowan UniversityFollow
Keith Fitzpatrick, Edith Cowan UniversityFollow
Senali Madugoda Gunaratnege, Edith Cowan UniversityFollow
Seyed Ashkan Hosseini Shekarabi, Edith Cowan UniversityFollow
Richard Hughes, Edith Cowan UniversityFollow
Ahmad Khanfar, Edith Cowan UniversityFollow
Ahdieh Khatavakhotan, Edith Cowan UniversityFollow
Neda Kiani Mavi, Edith Cowan UniversityFollow
Keyao Li, Edith Cowan UniversityFollow
Moataz Mahmoud
Tegwen Malik
Sashah Mutasa, Edith Cowan UniversityFollow
Farzaneh Nafar, Edith Cowan UniversityFollow
Ross Yates, Edith Cowan UniversityFollow
Rasha Alahmad
Il Jeon
Yogesh K. Dwivedi

Author Identifier (ORCID)

Laurie Hughes: https://orcid.org/0000-0002-0956-0608

Masoud Aghajani: https://orcid.org/0000-0002-0776-3145

Senali Madugoda Gunaratnege: https://orcid.org/0000-0002-6772-4826

Seyed Ashkan Hosseini Shekarabi: https://orcid.org/0000-0001-5020-6734

Richard Hughes: https://orcid.org/0000-0001-6268-5648

Ahmad Khanfar: https://orcid.org/0000-0002-2696-4604

Ahdieh Khatavakhotan: https://orcid.org/0009-0006-6428-0787

Neda Kiani Mavi: https://orcid.org/0000-0002-2538-9011

Keyao Li: https://orcid.org/0000-0002-6220-7459

Farzaneh Nafar: https://orcid.org/0009-0000-8641-2556

Ross Yates: https://orcid.org/0000-0003-2785-9117

Abstract

The project management profession is undergoing transformative change with the integration of Artificial Intelligence (AI), redefining core methodologies and decision-making processes. As societal expectations rise and technological complexity intensifies, project managers face unprecedented challenges. By 2030, AI-driven predictive insights and modelling capabilities are expected to significantly enhance efficiency, raising critical questions about the evolving role of human project managers. Will AI take the lead in key decisions, or will human attributes such as creativity, ethical judgment, and emotional intelligence remain essential? Framed as PM2030, this study explores future scenarios through expert insights from academia and industry. Using an opinion-based approach, we introduce two conceptual models: the AI-Augmented Ethics-Centric Model and the Predictive Model for AI Adoption and Human Trust. These models offer a forward-looking vision of project management shaped by automation, ethics, and human-AI collaboration. This study contributes to the growing discourse on the human-centric evolution of AI-enabled project management.

Document Type

Journal Article

Date of Publication

9-1-2025

Volume

10

Issue

5

Publication Title

Journal of Innovation and Knowledge

Publisher

Elsevier

School

School of Business and Law

RAS ID

83720

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Comments

Hughes, L., Mavi, R. K., Aghajani, M., Fitzpatrick, K., Gunaratnege, S. M., Shekarabi, S. A., Hughes, R., Khanfar, A., Khatavakhotan, A., Mavi, N. K., Li, K., Mahmoud, M., Malik, T., Mutasa, S., Nafar, F., Yates, R., Alahmad, R., Jeon, I., & Dwivedi, Y. K. (2025). Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030. Journal of Innovation & Knowledge, 10(5), 100772. https://doi.org/10.1016/j.jik.2025.100772