Project Management

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Will AI Make Project Managers More Valuable or Less Necessary?

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Tsz Kiu Wong Founder| T.K. Felix Wong Studio Edinburgh, SCT, United Kingdom

Over the past year, we've seen AI tools rapidly improve in areas such as scheduling, reporting, risk analysis, meeting summaries, documentation, and stakeholder communications.

Many tasks that traditionally consumed a project manager's time can now be automated or significantly accelerated.

This raises an interesting question:

As AI becomes more capable, will project managers become more valuable because they can focus on leadership, decision-making, and stakeholder engagement? Or will organizations need fewer project managers as administrative and coordination tasks become increasingly automated?

Which project management responsibilities do you believe are most likely to be automated in the next five years?

And which skills will become even more important for future project managers?

I'm interested in hearing perspectives from PMs across different industries, including construction, engineering, IT, healthcare, finance, and manufacturing.

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Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
Not AI, generative AI. Less Necessary, unfortunately. Right now 95% of project, program, portfolio manager work is replaced by generative AI. We are moving from human in the loop to human in the lead. I am saying this because I am leading this type of initiatives.
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Luis Branco CEO| Business Insight, Consultores de Gestão, Ldª Carcavelos, Lisboa, Portugal
An excellent question.

I believe many coordination and administrative activities will be increasingly automated over the next five years, including reporting, scheduling, status tracking, documentation and parts of risk analysis.

However, the more interesting shift is not whether project managers become more or less valuable. It is how their role evolves.

As AI takes over more execution support activities, project managers will spend less time managing information and more time governing decisions, aligning stakeholders, navigating uncertainty and ensuring accountability.

The future may not be about managing projects or AI separately, but about leading increasingly complex human-AI delivery systems.

In that environment, judgment, communication, trust and decision-making will become even more important than they are today.

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