Research from Gartner revealed that 80% of today’s project management tasks will be replaced by AI as early as 2030.
Technological innovations are advancing more and more every decade, and the PM functions will undergo a sea of changes in the coming years.
Issues that were once complicated and unimaginable are now easily automated.
However, other technological areas have become increasingly complex. In the coming years, we’ll be presented with intriguing discoveries and brand-new challenges to overcome.
So, will AI-powered technology replace project managers?
Luckily, no. While excellent at mundane, data-driven tasks, AI is flawed regarding creativity, social skills, and natural perceptiveness.
AI won’t be coming for project managers’ jobs anytime soon. It will be a while before technology evolves to the extent where that could be a possibility.
According to a recent study by KPMG, 46% of project managers believe that people management is the most critical factor in delivering a successful project.
In addition, 28% thought technology was vital, while 26% of project managers felt that either processes or governance were critical for success.
This implies that by using AI-assisted tools in management, companies could reduce or eliminate repetitive tasks in the PM cycle, such as data collection, tracking, and reporting.
Companies can refocus their efforts on stakeholder engagement, people management, and innovation. This would also leave managers with time for personal or professional development.
AI would thus complement project management processes by acting as a catalyst for advancements rather than replacing employee time.
But do we have AI or ML use cases for traditional project management? We don’t want a situation where we’re forcing a solution.
Do you need it? For example, there might be cases where efficiently built statistical tools using regression methods work effectively. In that case, investing in AI might be unnecessary.
These are some of the questions you should consider before implementation.
AI continues to cause disruption, so managers must become AI-ready and engage heavily in AI-powered tools.
In short, AI is here to stay. Therefore, it’s in our best interest to leverage its capabilities in all phases of project management.
More Helpful Resources
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Illuminating Insights Hidden in Dark Data [Blog]
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