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How should Project Managers adapt to the trend of layoffs happening during the AI boom?


It is incredibly frustrating to see the industry booming in innovation while my colleagues are being shown the door. Why are tech layoffs still happening even after AI growth? For those of us in project management, it feels like our coordination skills are being undervalued in favor of automated workflows. Is there a way to stay relevant when the company’s focus is purely on tech?


   2025-06-10 in General by Gregory Peterson | 8952 Views


All answers to this question.


The layoffs are a result of companies chasing "lean" operations. PMs who don't understand the technical side of the new AI stack are the first ones to be considered redundant.

   Answered 2025-06-12 by Brandon Scott

  • Spot on, Brandon. I’ve found that doubling down on project management certifications that include Agile and AI-integration modules is the only way to prove you’re not "old school."

       Commented 2025-06-13 by Gregory Peterson


The reality is that the bar for efficiency has been raised significantly. In the past, a PM might spend 40% of their time on status updates and manual scheduling, but those are exactly the tasks being automated now. To survive this wave of layoffs, you have to transition from being a "task tracker" to a "strategic value deliverer." Companies are cutting the overhead, and unfortunately, traditional management roles are often viewed as overhead. You need to demonstrate how you can lead a team to integrate these new tools to hit deadlines faster, rather than just documenting the delays.

   Answered 2025-06-15 by Cynthia Clark


Are you seeing your specific tools being replaced by AI agents, or is it more about the total number of projects being reduced due to budget constraints? I'm curious if the workload is actually disappearing or just shifting.

   Answered 2025-06-18 by Melissa White

  • Melissa, in my experience, the workload is actually increasing because of the speed of AI development, but the headcount is staying flat or shrinking. This leads to a massive burnout risk. Management expects the same number of people to handle more complex, AI-driven projects because they believe the tools make the work "easy," which is a dangerous misunderstanding of the actual project lifecycle.

       Commented 2025-06-20 by Kevin Harris



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