Four Observations as a Teacher of AI in Project Management
From the AI IQ Blog
by Paul Boudreau
Technology offers an incredible opportunity to improve project performance. This blog shares the latest research and how organizations are implementing AI into their project methodology. Come with an open mind, increase your knowledge, share your concerns, and become a project manager with new skills to offer an organization.
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After teaching AI in project management both in the classroom and at conferences, I noticed a few consistent patterns.
1) The first is a lack of awareness about how AI works, what it can do, and how it influences decisions. Overall awareness of AI in general is growing rapidly, including in project management, but awareness doesn’t necessarily equate to understanding. The knowledge deficiency can be addressed by education or formal training and requires a willingness to read, explore, and engage with AI concepts before being directed to use them.
2) The second pattern is the belief that AI is a turnkey solution. In reality, applying AI is a long-term and ongoing process. Implementation requires people to understand the data, choose an appropriate method, and, most importantly, interpret results before making a decision. What I increasingly see is project software algorithms presenting optimized outputs, and project managers accepting them without question. When optimization is treated as an answer rather than an input to decision-making, human judgment quietly disappears.
3) Another clear divide is generational. Many experienced project managers are slowly and cautiously adapting to AI and large language models (LLMs) like ChatGPT. Meanwhile, nearly all my students already use them daily. This isn’t a criticism of either group, but an observation of a real gap in comfort, fluency, and expectations. The gap matters because AI is quickly becoming part of the project professional baseline.
4) The final pattern is the most encouraging. Once people are exposed to AI through a course or a conference session, excitement replaces anxiety. Participants are no longer discouraged. Instead, they feel empowered and leave the sessions with a sense that they’re better prepared for the future of project management.
Teaching AI hasn’t convinced me that technology will solve our problems. It has, however, convinced me that education is a powerful force that can help people navigate the significant change that AI is bringing.
Posted on: January 15, 2026 09:10 AM |
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Comments (3)
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Rohit Garg
Project Manager| UDC India
Chandigarh, India
This really reflects what I've been seeing in real project environments. AI is quickly becoming part of the profession's baseline, but simply knowing it exists isn't the same as knowing how to work with it well. The real shift happens when project managers start paying close attention to data quality, model assumptions, and where human accountability still needs to sit.
The point about optimization being treated as an input rather than a final answer also stood out to me. IT's good reminder that our role isn't to accept automated outputs at face value, but to interpret them, challenge them when needed, and turn them into decisions that actually make sense in a real-world context.
Paul Boudreau
President| Stonemeadow Consulting
Kanata, Ontario, Canada
@Vitor. Great observations. Thank you for sharing.
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