What new skills do you believe project and PMO professionals need to develop to remain relevant in an AI-enabled delivery environment?

I think it is important for project professionals to strengthen their business acumen in their respective field so that they can make sound project decisions.
Also they can develop their leadership skills, be an empathetic leader and enforce ethical standards.
They can mentor and coach younger project professionals which will help to build stronger and resilient professional communities.

Bilal Antar in my opinion, the PMBOK® Guide — Eighth Edition summarizes the necessary mindset perfectly through its principles. To remain relevant in an AI-enabled environment, we need to focus on three key areas:

Being Proactive: Moving from just tracking tasks to anticipating changes that AI identifies.

Accountability (Ownership): AI can provide data, but the professional must take responsibility for the final decisions and the ethical use of that information.

Value-Driven focus: Ensuring that every AI-driven automation actually translates into strategic value for the organization.

While AI handles the technical processing, our role shifts toward high-level leadership and ensuring that the project outcomes truly align with the business goals.
Francisco.

It is a great topic uBilal Antar/u
I think project and PMO professionals need AI literacy, data-driven decision-making skills, and strong judgment to interpret AI outputs.
Equally critical are change leadership, stakeholder communication, and ethical awareness to ensure AI-driven delivery creates real value.

In an AI-enabled delivery environment, project and PMO professionals need data literacy, proficiency with AI tools, and strong analytical skills to interpret insights and make informed decisions. By using PMI Infinity™, I streamline reporting, leverage AI-driven insights, and focus on strategic project outcomes, ensuring the PMO adds real value without getting bogged down in administrative tasks.

No doubt, AI is shaping our PMO/PM roles and the value we deliver. something to integrate or take into consideration is

1.- Critical Thinking: The AI outcome with the Ingested data, sometimes we have hallucination in those models, and the quality data sets are not necessarily as its requiered to train and operate the LLM. We have metrics to inform the evolution of the models and architectural design. As a result, we should use critical thinking to evaluate or make decisions.

2.- Leverage PM knowledge areas using AI. Generative AI can help us deliver better value, identify risks, prevent issues, and enhance communication. I have been using the AI to help me improve the meeting minutes, and now agents can identify risks in conversations through sentiment analysis, helping you prevent them and propose solutions. But again, this must be evaluated.

3.- Fast Projects Onboarding: AI is helping the PMs to focus on the projects and not waste time trying to understand the PMO ecosystems and project behavior. This will help ensure the right understanding of what is most important for the organization in Project delivery. and identify any gaps in the PM.

4.- Leadership Style: The Leadership has evolved and been transformed to unleash the team's potential. The IA can help us develop all our knowledge and prevent any deviation in our leadership. generating new ideas, creativity, and developing others' skills required in our projects or programs.


Best regards.