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

Hello all, I'm a senior PM and familiar with PM types like Waterfall, Scrum and agile Project Management. Over the last 25 years I was joining in different roles or as a PM all kind of projects. I believe AI and professional prompts with a good data quality can support us and make some documentation, list, table and power points easier.

But to be aware of risks, interaction with a variety of Stakeholders and a complex surrounding with international teams and providers, will need definitely a PM who knows how to coordinate and steer it. For sure some PMO stuff will be done quicker and via AI.

We need to know how to use it in a right way.

Absolutely, this is a very relevant question in today’s rapidly evolving AI landscape. Speaking as a project manager with nearly two decades of experience across content development, web development, and digital marketing, I’ve had a front-row seat to how tools like AI and prompt engineering are changing how we work—but not necessarily what makes us valuable.

Prompt engineering can certainly accelerate routine tasks—drafting briefs, summarizing content, creating timelines, or even generating code snippets. But these are surface-level gains. Where AI often falls short is in understanding nuance, context, team dynamics, and strategic alignment—skills that come only with experience.

There have been many instances in my own work where I tested an AI assistant to help with messaging, content framing, or even scheduling strategies. And while the responses were grammatically correct and sounded plausible, they lacked the insight, audience understanding, and strategic foresight that only comes from leading diverse projects over many years. In short, AI can’t replicate judgment—and that’s where experienced PMs differentiate themselves.

Rather than feeling threatened by prompt engineering, experienced PMs should embrace it as a force multiplier. Here’s how:

Faster Prototyping: I can use AI to test ideas quickly, draft multiple content strategies, or simulate audience responses—then apply my judgment to choose the right direction.

Better Delegation: Instead of getting buried in admin work, I can automate low-value tasks and focus more on coaching team members and solving high-level project challenges.

Elevated Communication: With AI handling some of the legwork, I can refine and tailor messaging for stakeholders more strategically—an area where my years of experience pay off significantly.

The PMs who will thrive in this new environment are not those who reject AI or treat prompt engineering as a gimmick. It's those who know how to integrate it meaningfully into their workflows—without sacrificing the human layer of leadership, emotional intelligence, and strategic decision-making.

In fact, I’ve seen firsthand how my ability to critique, refine, and contextualize AI outputs makes my contributions stand out even more—not less.

AI and prompt engineering are like having a very smart intern: fast, eager, and sometimes insightful, but not ready to lead. PMs who know how to direct that “intern” and blend its outputs with real-world expertise will not only remain relevant—they’ll be more valuable than ever.