Using AI in Project Management: Key Applications and Benefits

Artificial intelligence (AI) is ushering in a new era of efficiency and effectiveness in project management. Project managers whose organizations fully embrace AI are 30% more likely to deliver on time, and 23% more likely to meet or exceed ROI estimates, according to a 2023 PMI survey.

Other recent PMI research found that 82% of senior leaders believe AI will have at least some impact on how projects are run at their organization over the next five years. And yet 49% of project managers have little to no experience with or understanding of AI in the context of project management.

This gap must be closed — and soon. I recently transitioned from managing partner at a small software company to a data leadership position at a company 20 times its size. Improving project delivery and outcomes has been central to both roles — and implementing AI tools has been the primary means of achieving this in both workplaces. AI’s ability to analyze complex data sets, optimize resource allocation, predict potential risks, and automate routine tasks not only contributes to better project execution, but also enables organizations to cultivate an agile mindset that continuously adapts to the ever-changing tech landscape.