Will the widespread adoption of prompt engineering commoditize project management skills, or can it help PMs differentiate themselves and command higher value?
Director, Learning Design & Development| PMIAsheville, NC, United States
Hi PMI Community! I’m Sarah Philbrick, and I work as a Product Manager at PMI with a focus on our learning offerings. As we go on this skill-building journey together, I’m excited to engage in meaningful conversations, explore trending topics, and learn from each other.
Reflecting on one such topic, GenAI and prompt engineering, I am interested to hear your perspective on commoditization vs. differentiation.
Will the widespread adoption of prompt engineering commoditize project management skills, or can it help PMs differentiate themselves and command higher value?
Prompt engineering will commoditize low‑skill PM tasks, but it will not commoditize project management. In fact, PMs who learn to wield GenAI well will differentiate themselves more sharply and command higher value — especially those with your profile: P.E., PMP, PMI‑ACP, systems thinking, and principle‑based judgment.
I strongly believe that the advent of Gen AI will not outrightly replaced the informed Project Managers but rather empower them to function optimally. Just keep up the pace of the technological evolutions and as Project Managers, we will always be relevant and adding value to our respective domains.
Generative AI is not intended to replace project managers who embrace innovation, continuous learning, and professional development. Rather, it is likely to have the greatest impact on roles that remain heavily dependent on repetitive, routine activities and are resistant to change. The real question is, therefore, not whether Gen AI will replace project managers, but whether project managers are prepared to evolve alongside the technology. Saving Changes...
Juan Carlos MunguiaProject and Service Excellence Leader| Freelance consulting servicesMexico City, Cmx, Mexico
Hey Sarah, great question. My lens on this comes from customer experience management: I led a CX team of six, and the work that actually moved outcomes was never the case-handling itself; it was building the judgment calls into a process everyone could follow consistently, especially when a customer's stated problem wasn't their real problem.
That's the piece prompt engineering can't commoditize. AI can draft the response, summarize the case, even flag the pattern. It can't read the tone shift that tells you a customer's about to churn, or coach a struggling rep through a hard call. Service excellence has always been a psychology problem wearing a process costume.
PMs who lean into that - using AI to clear the routine work so there's more room for the human read - are the ones who'll stand out, not blend in. Saving Changes...
Laura WilburPrincipal| Think Management LLCKirkland, Wa, United States
Jul 09, 2024 6:58 AM
Replying to Bledar Beqiri
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Thanks for initiating a discussion on this matter, Sarah! Indeed, prompt engineering could have an effect on both, depending on perspective. Regardless, the widespread adoption of generative AI gives rise to the need to reinvent the role of a project manager. As with adoption of computers in executing tasks, generative AI tools will need to be deployed in a way that redefines how we work, nevertheless, with great oversight. As we see, despite exponential development, generative AI struggles to give us definitive results. I would argue that the project manager has an increasingly important role in making sure that project results are delivered efficiently - and correctly!
While AI can help the project manager in identifying earlier risks and issues as well as manage incoming information from multiple levels of a project, it can not replace the experience a project manager has in navigating and bringing to launch a new product that requires a lot of soft skills and persistence in moving the project forward through the organizational inertia that is common between various departments. A good project manager runs the project as a small temporary business within the business and anticipates what may or is about to occur based on their experience and relationships they've built. AI can not replace those soft skills or judgement requiremennt to get a project successfully completed. Saving Changes...
Olusayo FagorusiDevelopment Manager| Uraga Real Estate LtdNigeria
h1Prompt engineering can not replace the project manager because as a PM, you keep learning and reinventing yourelf, you keep up to date on new technology and advancement in your field thereby commanding higher value/h1 Saving Changes...
Olusayo FagorusiDevelopment Manager| Uraga Real Estate LtdNigeria
h1Prompt engineering can not replace the project manager because as a PM, you keep learning and reinventing yourelf, you keep up to date on new technology and advancement in your field thereby commanding higher value/h1 Saving Changes...
Integrating prompt engineering into project management will empower professionals who embrace adaptability, enabling them to navigate complexity and deliver value in an increasingly disruptive digital landscape.
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1 reply by Dhaker Hassen
Sep 22, 2026 12:16 AM
Dhaker Hassen
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As a project manager I look at GenAI as a tool to help me stand out not to take over the core skills of project management. Take a software implementation project for example. I could use GenAI to go through meeting notes and pull out a list of risks, action items and deadlines. That saves time. I still have to check the information decide which risks are most important and talk with the team to make sure everyone is on the same page. The real value comes when you pair AI, with judgment and clear communication. That’s where project managers can really make a difference.
Integrating prompt engineering into project management will empower professionals who embrace adaptability, enabling them to navigate complexity and deliver value in an increasingly disruptive digital landscape.
As a project manager I look at GenAI as a tool to help me stand out not to take over the core skills of project management. Take a software implementation project for example. I could use GenAI to go through meeting notes and pull out a list of risks, action items and deadlines. That saves time. I still have to check the information decide which risks are most important and talk with the team to make sure everyone is on the same page. The real value comes when you pair AI, with judgment and clear communication. That’s where project managers can really make a difference. Saving Changes...
I'm at a point where I honestly can't imagine working without AI anymore. I've spent years writing emails, meeting minutes, status reports, summaries, action logs, and reviewing every sentence multiple times. Today, much of that effort can be accelerated significantly with AI acting as a capable back-office partner.
What I've noticed is that the quality hasn't gone down. In fact, it's improved. I'm spending less time formatting and refining documents and more time focusing on decisions, stakeholder engagement, problem solving, and project delivery.
For me, AI hasn't replaced project management. It's removed a lot of the administrative overhead that used to consume valuable time. The result is faster progress, better communication, and greater efficiency across the board.
At this stage, I believe the question is no longer whether we should use AI, but how quickly we can learn to use it responsibly and effectively. The opportunity is here, and it's worth embracing while continuing to apply our experience, judgment, and leadership.
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