A project manager’s job has never been merely about managing schedules. More often than not, it involves thinking through challenges amidst uncertainty. As artificial intelligence becomes part of day-to-day project work, the nature of this thinking may change.
Text by Johanna Riippi
Few projects proceed exactly as planned. That is why the project manager’s job essentially involves weighing up options, structuring discussions and preparing decisions on the basis of incomplete information.
The role of the project manager is not disappearing, but it is evolving. Artificial intelligence is often talked about as a tool, but in day-to-day project work it is starting to resemble more of a thinking aid – one that speeds up preparation and makes structuring easier, but does not make decisions.
Artificial intelligence as a support for thinking, not as a decision-maker
As some aspects of the work become quicker and easier, what the project manager has always been responsible for becomes even more apparent: understanding the big picture, exercising judgement and making decisions based on the right information at the right time. This responsibility will continue to define the project manager’s role in the coming years.
There are plenty of tasks in project work where artificial intelligence can support the work without blurring the lines between roles. During the project’s start-up phase, preparing for kick-off meetings and workshops requires a great deal of background work: clarifying objectives, outlining timetables and formulating discussion questions. Artificial intelligence can help to compile options and suggestions, but the project manager, together with their team, is responsible for determining what the discussions actually focus on.
The same applies to outlining the framework of project plans, identifying risks and preparing status reports. When artificial intelligence helps to organise large bodies of information or summarise project data, it frees up time for the project manager to assess what is essential for this particular project and at this precise moment. The thinking doesn’t disappear; it’s just that the focus shifts.
When artificial intelligence handles some of the routine preparatory work, the project manager’s role can become more strategic. More time can then be devoted to the factors that ultimately determine whether projects succeed or fail: building a shared understanding among people, resolving conflicts and anticipating the consequences of decisions.
This change does not happen automatically. Artificial intelligence will not make a project manager more strategic unless the project manager takes on this role themselves. However, the focus of thinking does shift: rather than spending time gathering data, time is freed up to ask the essential questions – why this option, why now, and to whom does this matter?
Artificial intelligence can also be a useful tool in project communication. Different messages regarding the status of the same project can be drafted for management, the project team and stakeholders. AI can help with drafting and clarifying the text, but responsibility for the content, tone and impact of the message remains with the project manager. Particularly in challenging situations, such as when the schedule is running behind, human judgement is invaluable
Effective project management is a core skill for a project manager
In the coming years – over a period of 1–3 years – this change will be most evident in the nature of a project manager’s work. Routine preparatory work will become less demanding, but overall responsibility will become more prominent. Project managers will increasingly act as facilitators of thought: they will define the questions, evaluate the options and make the final decisions. Artificial intelligence will support this work, but will not bear responsibility for the decisions.
Accountability is a key part of this change. Content generated by artificial intelligence must always be assessed critically, and data protection and ethical boundaries must be recognised. Responsibility for what data is fed into the AI and how its outputs are used remains with humans. This is not a technical detail, but an essential part of a project manager’s professional expertise.
A project’s carbon footprint is not generated solely by travel and procurement. Digital work also consumes energy, which is why the use of artificial intelligence should be considered as part of sustainable project management. It is not a question of avoiding AI, but of using it appropriately: where it should be utilised and where a simpler solution is sufficient. Sustainable project management involves making choices and not doing everything that is technically possible simply because it is technically possible.
The project manager’s work becomes more efficient
Ultimately, the question is not what AI can do on behalf of a project manager. What matters is what it brings to light in the project manager’s work. As preparation becomes faster and it becomes easier to review options, the things that cannot be outsourced become even more apparent: judgement, taking responsibility and the ability to make decisions amidst uncertainty.
Artificial intelligence won’t take away a project manager’s job. It reveals what the job has always been about: judgement, responsibility and decision-making in the face of uncertainty.
Artificial intelligence as a project manager’s assistant – where it works, where it doesn’t
Can be used, for example, to:
- in the preparation of kick-off meetings and workshops
- in organising agendas and memos
- in developing alternative scenarios
- tailoring messages to different target groups
- in the summarisation and visualisation of project data
Does not act as a decision-maker when it comes to:
- final decisions
- priorities and choices
- on the assessment of the reliability of information
- ethical and data protection-related restrictions
- on when and where artificial intelligence is used
Thinking may become faster, but the responsibility for thinking remains with the individual.
