Artificial Intelligence (AI) is among the
revolutionary innovations of the modern day, restructuring industries and
professional practices using automation, predictive analytics, and data-driven
decision-making (Nenni, 2024). In project management, a subject involved with
cost, scope and schedule, the rising importance of sustainability is
restructuring priorities. The subject is progressively needed to consider wider
outcomes, including environmental protection, social responsibility and
long-term economic value (Silvius & Schipper, 2020). AI and sustainability
are mostly examined in isolation. AI is mainly referred to as the catalyst of
efficiency, while sustainability is referred to as an ethical or strategic
imperative. However, the connection between these two domains remains
relatively unexplored. An understanding of how AI can be used to support
sustainable project management is critical for both academics and
practitioners.
This essay reviews the role
of AI in sustainable project management. Its aim is to assess how AI supports
sustainability in projects by analyzing opportunities, risks and gaps in the
current literature. The objectives are threefold: first, to examine AI applications
in project management; second, to evaluate their involvement to sustainability
objectives; and third, to distinguish challenges and areas for more research.
The discussion begins by outlining the theoretical background of sustainable
project management before turning to AI applications, their pivotal position in
advancing sustainability, the risks and challenges associated with the adoption
of AI in sustainable project management (SPM), and opportunities for future
research.
