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?
Samar EllisonProject Manager| Cone HealthNc, United States
Great debate so far. I am of the mindset that AI is only as good as it's trainer. It hasn't been around long enough to grasp the complexity of project management in all settings. While AI is an amazing tool, it's important to remember that it is a tool to be utilized by people. People are incapable of perfect reasoning, so how can we expect that AI can? However, we all know that the technology is constantly evolving and will become more sophisticated with time. Until then, it is a helpful tool for project managers to expand their knowledge base.
AI, in its current stage, struggles to fully comprehend and contextualise the vast complexity of project management with all its nuances (organisational experience, PM experience, situation analysis, stakeholder analysis, etc.).
Surely, there are arenas where AI would excel. Or perhaps the key lies in how we excel at deploying AI to relieve PMs of cumbersome tasks, liberating their mental space for creative and strategic thinking? Saving Changes...
Jessie WhitlockProject Manager| Oregon Community Credit UnionEugene, Or, United States
May 24, 2024 5:41 AM
Replying to Sergio Luis Conte
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With the new generation of generative AI portfolio/program/project manager and business analyst role "are dead" at least in the way they were originally defined. I think a good source to understand that are the two courses on generative AI delivered for free by the PMI, mainly if you see the 3 layer model.
All AI information must be validated. All I see it doing is making the analyst and the PM look more knowledgeable. Those are all good things. Along with being faster. Saving Changes...
In a fast moving world where speed in decision making is a key to achieving success, prompt engineering and LLMs can be the true partner to make the life of a project manager easier while avoiding costly mistakes. Saving Changes...
Prompt Engineering will certainly disrupt the project management process, but I think it cannot commoditize the work of a professional Project Manager it would rather enhance his tasks and make him effective and efficient. Saving Changes...
Anonymous
Ultimately i will say that the effect will deeply rely on how PMs adjust to the developments, emphasizing the development of complementing abilities that AI is unable to duplicate, like as leadership, strategic thinking, and interpersonal communication. Saving Changes...
Hazem Abu HalawehIT Project Manager| Mawaqaa National Web SolutionsHawally, Salmiya) / Block 3 / Al-Khansaa, Kuwait
Well, Prompt Engineering outlines definitions of AI and how we can easily interact with AI and Machine languages to understand the ket factors of getting invaluable business outcomes by providing well structured and holistic reports explaining the accurate and current status of very single project in details mentioned the full image about the project and what's the best course of action to be taken next in order to make better inputs to the project. Eventually, Prompt Engineering will play a crucial role in communicating and understanding the AI modules step by step and how they work by following very helpful instructions. Saving Changes...
Anonymous
The more Gen AI will help project managers offload their daily drudgery tasks, the more they will gain expertise in the core labor that demands the human brain to address. It's similar to the 80/20% rule, which means that 80% of the labor is repetitive, and 20% could be new and innovative. Saving Changes...