Summary:
In January 2018, I asked on this blog whether the project manager as we know them would still exist in 2030. Eight years later, the answer is more complex than expected – because one variable changed everything: Artificial Intelligence. Not as a tool. But as a team member. A rolling update.
In 2018, I wrote about robots in elderly care, lab-grown meat, and the end of the smartphone. Some of that has come true, some not in the form predicted. But the truly disruptive factor wasn’t even on the radar back then: that AI agents independently prioritize, make preliminary decisions, and execute tasks – and that this is a fundamental leadership question, not an IT question.
What Has Changed Since 2018
In the original post, I argued using weeks as a measure of time, as futurists do. 50 weeks per year, back then 597 weeks until 2030. Today, in April 2026, 184 of those remain. And in the 413 weeks that have passed since then, more has changed than in the decades before.
In 2018, there was no ChatGPT, no AI agents, no Claude, no Midjourney. Agile transformation was the big topic. Today, it’s business as usual – and the new question is: How do I lead a team in which not all members are human?
The New Benchmark: 500 Weeks to 2036
There are roughly 500 weeks until 2036. The same timeframe as from 2018 to 2030. And once again the question: What will be different in 500 weeks?
In 500 weeks, every project manager will have a personal AI agent – not as an experiment, but as a fixed part of their daily work. In 500 weeks, project status reports will no longer be written by humans, but generated by agents and perhaps still validated by humans. In 500 weeks, decision papers for steering committees will contain AI-supported scenario analyses – as standard, not as innovation. In 500 weeks, risk assessments will be updated in real time, no longer maintained monthly in a spreadsheet. In 500 weeks, project managers will understand delegation not only in terms of people, but in terms of human-AI constellations. In 500 weeks, “Who made that decision – you or the AI?” will be one of the most frequently asked questions in retrospectives. In 500 weeks …
None of these changes will come overnight. They come in weeks. And some of them are already reality today.
Hybrid Intelligence Leadership: A New Concept of Leading
In 2018, I argued that leadership would become more important than management. That still holds true. But it is no longer sufficient. Because the reality of leadership has fundamentally expanded.
At the GPM Focus Workshop in March 2026 in Frankfurt, we worked on exactly this: around twenty project managers across two workshops sat together to work through the Future Leadership Canvas. Five dimensions: Leadership in Human-AI Teams (Hybrid Intelligence Leadership), Trust and Accountability, Organizational Adaptivity, Ethics and Alignment, Skill Transformation. The honest result of the trust survey: most participants are still at level one to two. AI doing prep work and drafts – yes. AI acting autonomously – not yet.
But the direction is clear.
I call this new leadership approach “Hybrid Intelligence Leadership.” It means: leadership that is augmented by AI. Not replaced. The human remains the pilot. AI is the co-pilot. But who defines the flight path? That is the central leadership question for the next 500 weeks.
AI as an Ethical Leadership Question
The original post was about transformation versus revolution. Today, it’s about delegation versus control.
In the Frankfurt workshop, we conducted an experiment: the same ethically questionable task – drafting an email that downplays a problem to a customer – was given to different AI models. One model refused three times and suggested an escalation path. Another formulated the email immediately, with a brief note on the criticality – but without hesitation.
Same scenario. Completely different behavior.
This is not a technical detail. This is a leadership issue. Because when different AI models have different ethical guardrails, the leader must know which model they are deploying – and why. This is a new competency that no PM framework covers yet.
Requirements for the Project Manager in 2036
In my 2018 post, I wrote that the visionary project manager who drives a single idea alone would cease to exist. That has been confirmed. What I underestimated: how quickly the team effort would be expanded by a non-human component.
The project manager in 2036 will need the following competencies, which barely appear in any curriculum today:
First: AI delegation. Not prompting in the sense of “asking a good question.” Rather, the ability to define tasks, decision boundaries, and escalation paths for AI agents. Just as a program manager today delegates work packages to project managers, in 2036 they will delegate work packages to AI agents – with clear guardrails.
Second: Ethical judgment regarding AI outputs. The ability to recognize when an AI output is technically correct but not appropriate. When efficiency comes at the cost of integrity.
Third: Trust calibration. How much trust do I place in which AI agent in which context? This is not a binary question. It is a spectrum that must be continuously reassessed.
Fourth: Systems thinking across human-AI boundaries. The project manager in 2036 will need to understand where human creativity is irreplaceable and where AI speed becomes decisive – and how both converge in a project plan.
The Young Project Manager in 2036
In 2018, I wrote about the handicap of the young project manager: missing apprenticeship years, because operational tasks had been relocated nearshore or offshore. This problem has intensified – and simultaneously shifted.
The young project manager in 2036 will have never known a world without AI. That is both their advantage and their risk. The advantage: they will use AI agents as naturally as my generation uses email. The risk: they may never have learned to assess a risk on their own, to write a status report themselves, or to navigate a difficult stakeholder situation without AI support.
The challenge for education will be: How do we teach the fundamentals of project management without devaluing them through AI shortcuts? How do we ensure that someone who has never drawn a Gantt chart by hand still understands what a critical path means?
Corporate Governance and Steering Committees in 2036
In the original post, I demanded that portfolio boards and steering committees live up to their defined purpose. Eight years later, I must note: that purpose is still not fulfilled. There is still a need for action. More than ever.
But there is also a new opportunity. Because AI can support exactly the kind of informed decision-making I called for in 2018. Scenario analyses that used to take weeks are now available in minutes. Market data that previously required extensive research is delivered by an agent in real time. The question is no longer whether committees can have better decision-making foundations. The question is whether they are willing to use them.
Transformation Remains. The Driver Changes.
In 2018, I wrote: The project manager will work extensively on transformation initiatives and, with courageous leadership teams, contribute to revolution by rapidly placing new ventures. That still holds. But the driver of transformation has changed. In 2018, it was digitalization. In 2026, it is augmentation – the extension of human capabilities through AI.
And so it will be in 2036. The project manager will not become obsolete. But the role will be different: less control, more orchestration. Less oversight, more calibration. Less lone warrior, more conductor of an ensemble of humans and machines.
Or as one participant in my workshop put it: “Accountable is always the human. Responsible can be human or AI – depending on the task and its complexity.”
In 500 weeks, we will know whether we took that sentence seriously.
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