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?
With the speed of life and the elevated expectations at work, I think the PM will be left in the dust if they don't adapt to the use of AI and the adoption of prompt engineering. I feel strongly that it will be a required skill of a PM but it'll never replace some of the human skills required. Saving Changes...
Abhijeet BhosaleSenior Engineer| Emerson Export Engineering Centre
As prompt engineering becomes widely used, many routine project management tasks—such as scheduling, reporting, risk tracking, and resource allocation—may become automated. As AI tools get better at understanding project data and providing useful insights, the technical side of project management could become more standardized. This may reduce the value placed on basic PM skills. Similar trends have already appeared in other fields where AI has simplified tasks that once required specialized expertise, lowering the advantage for professionals who rely only on traditional methods.
Great discussion! I'd like to add a perspective that is often overlooked when we talk about prompt engineering in project management: the critical responsibility of protecting personally identifiable information (PII) and sensitive data before interacting with any AI tool.
Consider this hypothetical scenario: A project manager is leading a government infrastructure project with dozens of stakeholders. To accelerate risk reporting, they decide to use a GenAI assistant and craft a detailed prompt — including team members' names, contract values, vendor identities, and even performance assessments of specific individuals.
The problem? That data just left the organization's security perimeter.
This is where advanced prompt engineering is NOT just a technical skill — it is a governance competency. A truly skilled PM using AI must know:
1. What NOT to input: Names, IDs, contract numbers, health records, financial details, and any information covered by data protection regulations (GDPR, LGPD in Brazil, etc.) must never be fed directly into a public AI model.
2. How to anonymize before prompting: Instead of "Vendor ABC failed to deliver milestone 3 per contract #XYZ-2024," the PM should write: "A vendor failed to deliver a key milestone — what escalation steps should I consider?" Same insight, zero exposure.
3. Organizational AI policies: PMs who understand data classification and know which AI tools are enterprise-approved (with proper data processing agreements) differentiate themselves not just technically, but ethically and legally.
This is a dimension where prompt engineering elevates — not commoditizes — the PM role. Anyone can type a question into ChatGPT. But a PM who masters the art of extracting AI value while maintaining data governance, regulatory compliance, and stakeholder trust? That professional commands significantly higher value.
The future PM is not just an AI user — they are an AI steward.P Saving Changes...
Proper context and your thought process is important feedback to align the output with your thinking while producing great value
Saving Changes...
Anonymous
May 24, 2024 7:55 AM
Replying to Md. Golam Rob Talukdar
...
While prompt engineering may streamline certain aspects of project management, skilled project managers who combine technical knowledge, soft skills, and strategic thinking could be continue to command higher value.
I agree. The skilled Project Manager is always necessary. Saving Changes...
The widespread adoption of prompt engineering will not commoditize project management skills, but rather, it will help Project Managers differentiate themselves and command higher value in the effective use of AI. This is so because PM skills still need human interphase to a very large extent. The integration of AI in project management may further confirm the delineation of project management into on-site and digital PM, where the digital may be predominately dependent on AI while the on-site will be predominately dependent on human interphase: site inspection, health and safety, etc.
So, in summary, the import of AI in project management will help the PM to gain more value addition in planning, implementation, monitoring, reporting and review.
PMI Team Member
