Will the widespread adoption of prompt engineering commoditize project management skills, or can it help PMs differentiate themselves and command higher value?

The widespread adoption of prompt engineering and AI-driven automation will likely commoditize certain aspects of project management, particularly: Repetitive & Administrative Tasks, Standardized Processes, Data Analysis & Reporting and other similar tasks. As these tasks become automated, PMs who rely solely on execution-oriented skills may find their roles devalued.
Mindful PMs can leverage AI as an enabler while focusing on high-value areas that command premium expertise such as: Strategic Alignment, Critical Thinking & Judgment, Emotional Intelligence, Innovation & Adaptability and other similar tasks.
While AI may commoditize routine PM tasks, the role itself will elevate for those who focus on strategy, leadership, and human-centric skills. The most successful PMs will use AI to amplify their impact, not just automate low-value work.

I utilize AI as part of my software development efforts, and it still has a long way to go before it can replace seasoned developers. It does not retain context well in conversations that are generally long-running, and you constantly have to remind the LLM repeatedly about simple things like where log files are located. I created an ongoing context document that I load at the start of every conversation, but it still does not retain the information from the document. I imagine the same is true for project managers.

Project management isn't just generating a bunch of documents. There are significant leadership and people skills that I don't see AI replacing soon. Managing humans to motivate them to produce specific outcomes requires years of experience. Resolving conflicts and managing different personalities will not likely be replaced by a model.

Additionally, the CREATE prompt engineering approach requires so much work to make a valid LLM output that you could do it yourself. Most PMs have a library of projects they can draw on to tweak. I suppose you could feed these artifacts into the LLM to get the desired output, but data controls may prevent you from doing that.

I utilize AI as part of my software development efforts, and it still has a long way to go before it can replace seasoned developers. It does not retain context well in conversations that are generally long-running, and you constantly have to remind the LLM repeatedly about simple things like where log files are located. I created an ongoing context document that I load at the start of every conversation, but it still does not retain the information from the document. I imagine the same is true for project managers.

Project management isn't just generating a bunch of documents. There are significant leadership and people skills that I don't see AI replacing soon. Managing humans to motivate them to produce specific outcomes requires years of experience. Resolving conflicts and managing different personalities will not likely be replaced by a model.

Additionally, the CREATE prompt engineering approach requires so much work to make a valid LLM output that you could do it yourself. Most PMs have a library of projects they can draw on to tweak. I suppose you could feed these artifacts into the LLM to get the desired output, but data controls may prevent you from doing that.

It can be a competitive advantage: PMs who master prompt engineering will stand out by leading AI-enabled teams, optimizing decision-making and productivity.