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 Engg. will help Project Managers meet desired goals/tasks by fetching accurate information via GenAI which would help them take well informed & viable business decisions.
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Josè Luis VillabrilleProject Manager| ENEL-Engineering and ConstructionPalma De Mallorca, Spain- Baleares, Spain
For sure it will be a great help with our tasks as project managers but by now, and specially with tecnical approaches, I think some supervision must be done.
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SANTOSH BADGUJARCHIEF OPERATING OFFICER| Accumax Lab DevicesAhmedabad, Gujarat, India
Sarah, my view: prompt engineering will differentiate PMs in the near term, but the real long-term differentiator is domain expertise combined with AI fluency — not prompt engineering skill alone.
Here's the logic. Prompt engineering as a standalone skill will commoditize quickly. As AI tools become more intuitive, the gap between a skilled and an unskilled prompter will narrow. The tools themselves are getting better at interpreting imprecise inputs. So purely technical prompt engineering is not a sustainable moat.
What won't commoditize is the ability to: 1. Know what questions to ask — This requires deep PM experience. You can't prompt well for a risk assessment if you don't understand what risks look like in your industry. Domain knowledge defines the quality of the prompt. 2. Evaluate output quality — Knowing when AI output is right, when it's plausible-sounding but wrong, and when it's missing the critical nuance requires the judgment that only comes from experience. 3. Translate business context into AI-usable inputs — This is genuinely hard and undervalued. Turning a messy organizational problem into a well-scoped AI query is a form of problem structuring that is very much a PM skill.
For COOs and senior PMs who have deep operational experience, prompt engineering is a capability multiplier — it lets us do more with what we already know. For junior PMs trying to substitute prompt skills for experience, the differentiation will be short-lived.
The summary: learn prompt engineering, but invest heavily in the domain knowledge and judgment that make your prompting actually valuable. Saving Changes...
SANTOSH BADGUJARCHIEF OPERATING OFFICER| Accumax Lab DevicesAhmedabad, Gujarat, India
Prompt engineering won't commoditize PM skills — it will amplify the gap between strong and weak PMs. In our manufacturing environment, anyone can now generate a risk register template with a prompt. But interpreting whether those risks apply to our specific production line, regulatory context, and supplier dynamics? That still requires a human with domain knowledge. The PMs who will differentiate themselves are those who use prompts to eliminate repetitive thinking and spend more time on the contextual judgment that AI can't replicate. The skill shifts from knowing frameworks to knowing which frameworks matter when, and why. Saving Changes...
My thoughts: With ownership of the project’s end‑to‑end landscape, PMs are uniquely positioned to craft strategic prompts that drive AI toward stakeholder‑aligned, high‑quality responses. This makes prompt‑fluent PMs not just more efficient, but more trusted and impactful leaders.
With ownership of the project’s end‑to‑end landscape, PMs are uniquely positioned to craft strategic prompts that drive AI toward stakeholder‑aligned, high‑quality responses. This makes prompt‑fluent PMs not just more efficient, but more trusted and impactful leaders.
The rise of prompt engineering is reshaping how we deliver value in project management. Professionals who can adapt quickly and integrate these new AI‑driven capabilities will stand out in an increasingly disruptive environment. Our ability to evolve is becoming just as important as our technical expertise. Saving Changes...
Will the widespread adoption of prompt engineering commoditize project management skills, or can it help PMs differentiate themselves and command higher value?
Project Manager that adopt prompt engineering can increase the value of the work performed. The time spent in building long documents with detailed information that should be assembled from many other documents can be improved. The time gained in this process, can be used by the PM to help the team to remove road blockers or to make the team understand how to have the value of their deliverables increased based on the produced reports. PM will act more as facilitator and servant leader, as an agile philosophy then being acting a document maker. Saving Changes...
Thank you for the opportunity! I have been using several GenAI tools—particularly chatbots and data analytics tools—to simplify my day‑to‑day work in my project management role. These tools are highly effective for tasks such as summarization, comparison, and basic data analysis. However, there are still many scenarios where AI cannot be fully relied upon to deliver a complete or final solution. From my perspective, one of the key challenges PMs face today is creating project delivery plans and consistently maintaining turnaround times (TATs). It would be highly beneficial to have a simple and effective prompting framework that can help generate end-to-end project plans, track product-level tasks, and present insights through an executive-level dashboard. Overall, I see strong potential for leveraging AI further to significantly increase productivity. Saving Changes...
Drawing for my own experience, I think it is impossible to create really good prompts and use the AI to their full potential without understanding how the job is actually done, and without being able to break your day to day work into small milestones that could be used as examples and instructions further down the road. Only an experienced worker with critical thinking could achieve that, I think. So, while more broad tasks like creating budget outlines or predicting most common risks coul be done with simple prompts and even inexperienced workers, really deep dives cannot be achieved without monitoring and controlling from someone with experience. Saving Changes...
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