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

AI is using in project environments from more than 30 years ago. Unfortunately most of the people and organizations are using generative AI as a synonym of AI. So, nothing new below the sun except you are talking about generative AI. If this is the situation then my recommendation is understand all related to Responsible AI component do not fail and mainly do not have serious consequences for dont consider that.

Thank you for the perspective. You’re absolutely right that AI has been present in project environments for decades, and that generative AI is only one subset of the broader AI landscape. I appreciate the callout on Responsible AI, as governance, ethics, and risk management are critical capabilities moving forward.
Building on your point, I’d be interested in your view on which specific Responsible AI competencies PM and PMO professionals should prioritize (e.g., governance frameworks, data privacy, model risk management, human-in-the-loop controls). Your experience would add valuable depth to this discussion.

Good question.
I would frame it slightly differently, because the real risk today is treating AI as just another toolset, rather than recognizing it as a shift in how delivery systems are designed.

From what I see in practice, three skill clusters are becoming critical for project and PMO professionals.

First, decision design and judgment under uncertainty.
As AI increasingly automates analysis, forecasting and reporting, the human contribution moves upstream.
Framing the right questions, setting decision boundaries, and deciding what should be automated versus what must remain a human judgment becomes a core competence.
This also includes ethical reasoning, accountability and the ability to explain decisions to stakeholders.

Second, systems thinking and operating model design.
AI does not simply plug into existing roles and processes. It reshapes workflows, authority, escalation paths and learning loops.
PMO professionals, in particular, need to think less in terms of control and more in terms of orchestration.
How humans, agents and automation collaborate to create value over time is now a design problem, not an IT problem.

Third, learning and sensemaking at speed.
AI-enabled environments evolve continuously.
Static standards and fixed best practices age quickly.
The relevant skill is not knowing the latest tool, but being able to test, learn, adapt and recalibrate governance without losing coherence.
This includes working with imperfect data, weak signals and stakeholder perception, not just delivery metrics.

Technical literacy in AI matters, but mostly as a hygiene factor.
What will truly differentiate project and PMO professionals is their ability to design delivery systems where AI amplifies human judgment rather than replaces it, and where accountability, value and trust remain explicit. In that sense, relevance in an AI-enabled environment is less about mastering tools and more about mastering responsibility.

You are welcome. Responsible AI is not a matter of competences. Is a component inside each AI initiative, mainly when using generative AI (in this case is mandatory). Respnsible Ai has associated process, methods and tools where multi skills people must intervene: legal, linguistic, inclusion and diversity, etc, etc roles.