I see a lot of hype about AI in project management, from automated scheduling to predictive analytics. Is this actually being used in the field yet, or is it still mostly theoretical? I’m interested in knowing which AI tools are helping with resource leveling or risk identification. Will AI eventually replace the need for junior PMs who mostly handle documentation and tracking?
3 answers
AI is already here, but it's more of a co-pilot than a replacement. We are using LLMs to draft initial project charters, meeting minutes, and even to generate complex WBS structures based on historical data. Predictive AI is also being used in some advanced PPM tools to flag projects that are likely to go "Red" based on past performance patterns that humans might miss. As for junior PMs, their roles are evolving. They need to stop being "note-takers" and start being "prompt engineers" and data validators. The manual tracking is being automated, so the focus is shifting toward stakeholder management and emotional intelligence.
That’s a fascinating shift for junior roles. Do you think we should be updating our internal PMO training to include prompt engineering specifically for project documentation?
AI is great for data, but it can't manage people. Conflict resolution and team motivation will always require a human touch, regardless of how smart the software gets.
You hit the nail on the head, Brian. AI can tell you a project is late, but it can't sit down with a developer to understand why they are burnt out or how to help them get back on track.
Absolutely, Joshua. Training teams on how to interact with AI models to get accurate summaries and risk logs is a high-value skill right now. However, you must also train them on data privacy—never put sensitive company data into public AI models. We’ve started a "Responsible AI for PMs" workshop that covers both the efficiency gains and the security risks involved in using these tools daily.