Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030
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.
Authors
- Ahdieh Sadat Khatavakhotan
- Ahmad A. Khanfar (ORCID: https://orcid.org/0000-0002-2696-4604)
- Richard Hughes (ORCID: https://orcid.org/0000-0001-6268-5648)
- Laizah Sashah Mutasa (ORCID: https://orcid.org/0000-0003-1377-2862)
- Yogesh Kumar Dwivedi (ORCID: https://orcid.org/0000-0002-5547-9990)
- Il Jeon (ORCID: https://orcid.org/0000-0002-4220-8374)
- Keyao Li (ORCID: https://orcid.org/0000-0002-6220-7459)
- Montasser Mahmoud (ORCID: https://orcid.org/0000-0002-9387-2785)
- Reza Kiani Mavi (ORCID: https://orcid.org/0000-0002-9998-1296)
- Masoud Aghajani (ORCID: https://orcid.org/0000-0002-0776-3145)
- Kevin Fitzpatrick (ORCID: https://orcid.org/0000-0001-5141-9934)
- Ross Yates (ORCID: https://orcid.org/0000-0003-2785-9117)
- Laurie Hughes (ORCID: https://orcid.org/0000-0002-0956-0608)
- Rasha Alahmad (ORCID: https://orcid.org/0009-0006-4114-829X)
- Neda Kiani Mavi (ORCID: https://orcid.org/0000-0002-2538-9011)
- Seyed Ashkan Hosseini Shekarabi (ORCID: https://orcid.org/0000-0001-5020-6734)
- Tegwen Malik
- Senali Madugoda Gunaratnege
- Farzaneh Nafar
Institutions
- Edith Cowan University (AU)
- King Fahd University of Petroleum and Minerals (SA)
- University of Southern Queensland (AU)
- Royal North Shore Hospital (AU)
- Fiona Stanley Hospital (AU)
- Stanley Foundation (US)
- Swansea University (GB)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Journal of Innovation & Knowledge
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.jik.2025.100772
- Citations
- 5
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 11.42