AI has not been consigned to applications of advanced Information Technology anymore. It has started making its path into more traditional grounds to supplant or enhance tasks that have been done traditionally by humans – comprising project managers.

What is the meaning of this? The rise of AI in project management is undeniable. The evolving landscape of project management demands adaptation. To thrive, project managers must embrace AI tools and develop the skills to leverage them effectively

  • Project managers and organizations see an imminent influence of AI.

According to the recent survey report from PMI’s “Pulse of the Profession,” around 80% of the respondents said that their companies are seeing a good impact from AI. In the following three years, the project professionals are expecting to manage the projects using AI to bounce to a proportion of 37% from 23%, according to “AI Innovators: Cracking the Code on Project Performance” from PMI.

  • AI-powered tools take over the administrative tasks for the project managers.

Project managers actively manage a slew of administrative tasks like reminders and meetings. AI-based tools can handle these burdens, allowing teams to focus on strategic planning and high-level activities.

According to the report “AI Transforming the Enterprise” from KPMG, companies that have sponsored AI have seen an average of 15% improvement in their productivity. In the “AI@Work” report from PMI, project leaders who have been at the forefront of AI and a few other technologies are frequently reporting that the assistance of AI has helped them to reduce the time they were spending on activities such as managing documentation, monitoring progress, and planning of resource and activity.

  • AI systems will help in keeping projects on budget and schedule.

We are not good at estimating the cost and duration of the projects. Traditionally, estimating project costs and timelines can be a guessing game. AI-powered data analysis leverages past project information to provide more reliable predictions. details have been explained well by Professor Thomas G Davenport in his book “The AI Advantage: How to Put the Artificial Intelligence Revolution to Work.”

  • AI tools will be able to analyze the data from previous and current projects to give insights.

Mohammad Hassan, in his recent PMI webinar which was on the topic  ‘AI Advances and Ethics’, said that the actual value of AI lies in algorithms that aid decision-making. AI will be the assistant to a project leader.

Wanda Curlee echoed that sentiment in her webinar. She said that AI will be able to bring forward vital lessons that are established to support project managers. also address the risks, and deliver useful results. 

  • The demand for project managers to lead AI-focused projects will continue to rise.

As AI integration revolutionizes project management, project managers will spearhead these initiatives. They won’t necessarily need to be AI gurus, but they must grasp the fundamental distinction between these groundbreaking projects and traditional IT endeavors.

The projects in AI need vast experimentation, and it will be tough to set the KPIs for them. Hence, traditional practices of project management seem to have limited effectiveness when it’s applied to AI or DS (Data Science) projects. 

As organizations move with full speed to adopt AI and the benefits and disruptions it will carry, project managers have to be ready to utilize AI to handle more traditional projects. They should think in a different way to run AI projects. Deepen your project management expertise! Explore career paths and access valuable resources at ShriLearning. To learn more, check out our latest post on “How AI Will Transform Project Management.