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

Prompt engineering is more likely to differentiate project managers than commoditize them—at least for those who embrace it effectively. As AI becomes a standard workplace tool, simply knowing how to write prompts will no longer be a unique advantage. However, the ability to combine prompt engineering with project management expertise, business context, stakeholder management, and critical thinking will create greater value.

AI can automate routine tasks such as drafting project documents, summarizing meetings, creating schedules, identifying risks, and generating reports. This allows project managers to spend more time on leadership, strategic decision-making, negotiation, and managing stakeholder relationships—areas where human judgment remains essential.

In the long term, prompt engineering itself may become a basic professional skill, similar to using spreadsheets or presentation software today. The real differentiator will be how effectively PMs integrate AI into project delivery while ensuring accuracy, ethics, governance, and business outcomes.

Conclusion: AI will likely commoditize repetitive administrative work, but it will increase the value of project managers who use AI strategically to improve productivity, decision-making, and project success.

I agree that generative AI is fundamentally changing project management, business analysis, and portfolio management. It is already automating many activities that used to consume a significant amount of time, such as documentation, reporting, requirements drafting, risk identification, scheduling support, and data analysis.

However, I would be cautious about saying these roles are "dead." I think they are evolving rather than disappearing.

Projects are ultimately about delivering value through people, organizations, and strategic decisions. AI can generate options, identify patterns, and accelerate execution, but it cannot fully replace leadership, stakeholder alignment, negotiation, governance, ethical judgment, organizational change management, or accountability. Someone still needs to define the right problem, make trade-off decisions, resolve conflicts, and ensure that AI-generated outputs actually fit the business context.

The PMI's three-layer model is a useful way to understand this transformation. Rather than replacing project professionals, it highlights that the profession is moving toward higher-value work where AI becomes a powerful collaborator. The project manager of the future will likely spend less time producing artifacts and more time orchestrating AI capabilities, facilitating decisions, managing uncertainty, and leading change.

In my view, the competitive advantage will not be "AI versus project managers." It will be project managers who know how to leverage AI versus those who don't. As with previous technological shifts, the tools change faster than the need for human judgment, leadership, and accountability.

Prompt engineering will amplify the gap between average PMs and exceptional ones and not commoditize project management. PMs who are able to master AI-driven framing, problem, decomposition, and strategic prompting will deliver fast insights, clearer communication, and stronger decision support. Instead of reducing PM value, it becomes a leverage skill that helps, top PMs differentiate themselves and command higher impact - and higher compensation.

Prompt engineering is an incredible addition to a very present and intentional field like Project Management. Mastering the skill on prompt engineering will add value to the profession of PMs and deliver higher value to all products.