3 Alternatives To Replacing Your Human Project Managers With AI Agents
The Pressure To Replace: Business leaders are being asked to reduce human resources and rethink project management roles.
AI's Strengths: AI agents excel in routine project management tasks, offering potential cost savings and operational efficiency.
Leadership Value: Human project leaders offer strategic oversight, accountability, and innovation that AI struggles to replicate.
AI Partnerships: Teams should embrace AI partnerships rather than replacements, focusing on enhanced collaboration and strategic thinking.
Innovation Risks: Replacing project managers with AI risks stagnation; creative human input can drive process improvement.
Us team leads and department heads are under a lot of pressure right now to explore ways that AI can be used instead of increasing headcount or even back-filling existing vacancies. And that’s putting project management roles in the line of fire.
For better or for worse, the concept of an AI agent doing project management has become about as commonplace as a Roomba doing your vacuuming. In other words, it’s already at the point where the idea of having a human do project management seems luxurious.
And it’s hard to argue against: when people are the highest operating cost for a business, any efficiencies that could lead to a sustainable reduction in force could be the competitive advantage a business needs to survive.
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Not to mention that project managers have been fighting to justify their value since long before ChatGPT hit the market.
But before you take the plunge and try to replace your entire project management team with AI agents, there’s a few things you should consider.
Why AI Project Managers Make Sense On Paper
First let’s be honest with ourselves: agentic AI is well-suited to do a lot of project management tasks. Powered by advanced LLMs that can easily parse human language and actions — and imbued with the authority to take action autonomously — AI agents can easily slot into the day-to-day cadence of project work.
You can even see this in action today by perusing some of the most popular AI-powered project management software, where agent templates already exist for things like checking in with team members on progress and modeling the impact to the timeline and resource plan accordingly.
Even more advanced duties like identifying, surfacing, and suggesting responses to risks based on available data are nearly turnkey straight out of the box. The same goes for personalizing project communications like status reports to suit specific recipients so that time isn’t wasted writing the same message 14 different ways.
And while AI agents don’t have a crystal ball, they are able to look ahead and act as an early warning system for things like resourcing conflicts, timeline slippage, scope creep, and budget overruns based on everything from historical task information to transcripts from impromptu staffing conversations.
In fact, most project leaders in the circles I travel in welcome the offloading of tasks like these so that machines can focus on what machines do best while humans focus on what humans do best.
The Role Of The Project Leader
But rather than extrapolate that into a case for replacing human project professionals, we need to pause and make sure we actually understand the role that the project leader serves.
Contrary to popular belief, project leadership is about more than just following a plan and reporting the weather. It’s about converting strategy into execution, guarding success, and championing value. It’s strategic value delivery in a context that would otherwise just be a messy, chaotic middle school group assignment.
The benefits of project leadership are logical, but underpublicized. Projects with strong leadership are more likely to achieve their goals, create a measurable return on investment to the business, and most importantly will not monopolize and misuse valuable resources by holding your data science lead or marketing team hostage as the project limps towards mediocrity.
It’s the difference between a trained and experienced ship captain and a junior officer with auto-pilot.
Contrary to popular belief, project leadership is about more than just following a plan and reporting the weather.
What You Stand To Lose
As both a project manager by trade and someone who now sits on the leadership team, I’ll be the first to admit that us project managers have done a poor job of explaining our value to the business world — so much so that when Microsoft announced its Project Manager Agent, the world reacted with a “so what?”.
But the more I talk to business owners and operators where projects are their lifeblood, the more I think many of us senior leaders are walking into a trap with a blindfold on. And what you stand to lose is more insidious that what shows up on paper.
Here’s the way I see it.
Leadership & Championship
If projects are a vehicle for change, they need change champions. Not the company-wide memo or the announcement at Town Hall. What I’m talking about is the boots-on-the-ground, day-to-day reinforcement of the mission’s purpose, delivery strategy, and overall impact to the business. That means listening more than talking, cheerleading more than admonishing, and pushing the envelope more than passively floating downstream and pointing out obstacles.
Agentic AI might be excellent at supportive language, but its sycophantic nature has marred its ability to inspire. As such, there’s presently not much that’s compelling, reassuring, or creative about its project management style. And that’s already resulting in flat, procedural projects that might achieve their stated objectives, but nothing more. No boost in morale, no facilitation of cross-training and professional development, no process innovation — none of that.
Agentic AI might be excellent at supportive language, but its sycophantic nature has marred its ability to inspire.
Accountability & Decision Facilitation
On top of that, I have yet to see key strategic decisions being made based on a chat with an AI agent. That’s not to say AI can’t do it, but rather that our work culture hasn’t arrived at the point where we trust AI’s recommendations enough to take them at face value.
At the end of the day, this comes down to accountability. Presently, AI is not accountable for the recommendations it make and the decisions it influences. No human can punish, admonish, or otherwise hold an AI’s feet to the fire for its actions. The accountability still rests with the humans. And currently project-based work is still built on the premise of accountability. So removing the humans can at best create an accountability shift (probably onto you) or at worst an accountability vacuum.
No human can punish, admonish, or otherwise hold an AI’s feet to the fire for its actions. The accountability still rests with the humans.
Innovation
Another underrated aspect of strong project leadership is innovating to discover new and better ways of working. AI agents can understand how humans have been collaborating, play by the rules, and even make recommendations for how to tweak workflows. But the creative re-imagination of business productivity is not within AI’s wheelhouse — at least not in the tools the average business is using.
As it stands today, the AI agents we’re building learn what they’ve been taught and do not have the faculties to enact broad changes to process. Why does that matter? Because amidst all this AI-led disruption, the winners won’t be the folks who do the same thing faster, it’ll be the folks who realize the technology allows us to do things we weren’t previously capable of.
The winners won’t be the folks who do the same thing faster, it’ll be the folks who realize the technology allows us to do things we weren’t previously capable of.
Trust, Persuasion, and Adoption
And lastly there’s the squishy middle of human-led collaboration: trust. The thing about trust is it’s earned, not just through consistent performance and repeated success, but through the less quantifiable things like empathy, charisma, and persuasion.
I don’t mean the warm, fuzzy stuff here. I’m talking Paul Atreides-level skill to build loyalty, drive consensus, and convince others to act on your behalf in line with your beliefs (albeit perhaps without the extremist galactic endgame).
Humans want to debate, feel heard, and have the opportunity to provide input. They want to be a part of something — to have influence over their personal future. Ironically, it’s a need for agency, and agents are literally named in a way that threatens to take that agency away.
So, when you take that away from your business, you’re actually doing the opposite of what the technology has the potential to do: you’re turning your people into robots. And that will create drag in your organization through new waves of quiet quitting, toxic survivalist competition, and the general malaise that comes along with disempowerment.
In other words, without the mechanism for trust and agency, the motivation that powers your business will crumble faster than the technology can replace it.
Humans want to debate, feel heard, and have the opportunity to provide input. They want to be a part of something — to have influence over their personal future.
3 Alternatives To Replacing Your PMs With AI
The pressure is real, though. As a people leader, you are being asked to re-invent your team while trying to keep the wheels on the bus. And if you’re a compassionate leader, you probably feel like you’re stuck between a rock and a 1980’s-era Buick.
So here are 3 alternatives that I’ve been exploring with folks in my community as well as for my own team.
Spread The Load By Making Project Leadership A Team-Wide Skill
It’s widely understood that the majority of projects are not led by project managers anyway. The problem is that it’s treated informally. It assumes that those projects don’t need project management. And that’s also why so many of them stall.
So instead, I’d urge us to do the opposite: instead of giving simple projects to folks who have no project management training, give people project management training so that they can lead more complex projects.
Then set up a community of practice led by your experienced project managers, having them act as ambassadors and mentors for the craft of delivering value through projects. Make that their motivation to set up AI systems in their delivery process — using AI-powered efficiencies to make room for mentorship, and creating AI tools that supports informal or deputized project managers.
Measure the ROI using metrics like the percentage of informally-led projects that achieve their objectives. Or track the opposite: track the number of informally-led projects that stall for reasons within our control, and have the team try to make that number as small as possible.
Create Human-AI Partnerships & Elevate Expectations
There’s also an argument to be made for augmenting instead of replacing. As we talked about at the outset, AI agents are quite good at doing some parts of the project management role, and most project managers are happy to offload those parts of the job.
So give them permission to build AI agents that are their project coordinators. Yes, that’s about automating workflows and delegating admin work, but it’s also about creating a partnership with AI to reduce overwhelm and amplify the impact of project delivery.
But that in and of itself is not going to change your business in any meaningful way. You also need to elevate expectations. If your project managers’ job has typically been about delivering projects within the triple constraint of time, cost, and quality, then now’s the time to ask them to level up to be more accountable for delivering the business strategy.
Expect them to understand the flywheel for how your business creates value. Expect them to speak the language of executives. Expect them to make uncomfortable decisions that prioritize the business, not just their projects.
But give them support. Give them a view into the strategic planning process. Give them insights into other concurrent initiatives. Give them resources to shift their mindset into creative delivery strategy, not just herding cats and keeping things on rails. They need to do more. They can do more.
Then incentivize that mindset and measure ROI through metrics like the number of projects that were re-scoped to add more value or instances where an escalation was avoided.
Have Your PMs Innovate New Ways Of Working
Project managers are process people. Use that. Instead of viewing your project managers within the silo of individual projects, zoom them out to so they can use their expertise in processes and methodologies to develop better ways of working using AI and humans.
Tie them in with your operations team to align on goals for process improvements. Build from the ground up — invite them to do “zero-based” process design. Does a project brief need to be a document? Does a project plan need to be linear? Ask them to challenge the way things are done to find a better way.
And don’t just make it side-of-desk busywork: measure in terms of average efficiency gains or increased project profitability after a specified number of experiments using new ways of working.
3 Things To Consider Avoiding
But even if you decide not to do any of those things and decide to go a different path, there’s a few things that I’d recommend NOT doing — or at least thinking about with due consideration before implementing.
“Biathlon” Hybrid Roles
I see a lot of businesses collapsing and combining roles, which seems pretty logical when cost-cutting is the goal and you want to keep your best talent. For example, that project manager who used to be a business analyst can become a PM/BA. That team member who was interested in UX can become a PM/UX. PMs that work in the red can contribute to revenue by becoming AM/PMs.
But be careful of combining roles that are either too unrelated or are at odds with one another. Account managers and project managers have very different objectives. And not every project manager can become a digital strategist overnight.
Jerry Seinfeld probably put it best when talking about biathlon: “It's like combining swimming and strangling a guy.”
And that’s not a strong foundation to build a business on.
Simply Increasing Capacity In A Linear Fashion
Then there’s the temptation to just do more of the same with any increase in capacity through AI. Project managers with a team of AI project coordinators should be able to manage more projects, right?
But this is often a path to diminishing returns. Project leaders still need focus, and no amount of AI is going to make having 15 concurrent projects a walk in the park. And I’m not even talking about context switching and emotional labour, I’m talking about more personalities to manage, more client questions to respond to, and less of an ability to zoom out and see things strategically.
Not to mention that every project has overhead in terms of onboarding clients, resourcing team members, and reporting and administration — the stuff that erodes margins when working with a multiplicity of smaller projects.
The value you should be seeking should be exponential. For example, shift your clientele upstream or make your offering more comprehensive and valuable to your clients at a larger deal size. Then skill up your PMs to be more white glove, more conversant in the client’s industry and business, and appreciated by your clients as trusted partners.
Replicating Inefficiencies
And of course be sure that you’re not implementing AI to replicate and amplify things that actually don’t work very well. Building agents to do zombie work using anachronistic methods that don’t leverage the power of AI might tick a box, but it will almost certainly come back to bite you.
So instead of building the proverbial “agentic grandfather clock”, use your project managers to audit current ways of working, document bottlenecks and areas of inefficiencies, identify process redundancies, and propose alternatives based on their knowledge of artificial intelligence.
Your First Steps
But like all good things, you’ll have to crunch the numbers and see if your business case makes sense.
You could start by evaluating the true cost of hiring a new person, including getting the job posted, screening, interviewing, contract negotiations, onboarding, equipment, benefits, management overhead, professional development costs, etc. This is what you’re up against when it comes to a build-or-hire decision.
You might also want to do a light audit of PM responsibilities in the form of an XDS or using a “jobs to be done” framework. You can then categorize those tasks based on value and whether they are better done by a human or by AI to get a sense of where the gaps will be without hiring or upskilling human team members.
And you might want to use an AI maturity matrix to assess the fluency and attitudes of your team towards AI. This might reveal knowledge and culture gaps that may limit your team’s ability to even find and implement AI efficiencies and come even close to meeting expectations around AI. And if that’s the case, it might be as simple as a bit of education, sharing, and cross-training to get everyone up to the same level.
The main thing is to not stick your head in the sand or make a rash decision under the immense pressure you feel. Ultimately you’re going to be the one measured on your team’s impact to the business, whether they’re AI agents, humans, or a mix of both.
What Do You Think?
But what do you think? Are we just staving off the inevitable? Or is it incumbent upon us to lead our people to the next stage of value creation in the same way past generations have done when technology disrupts industry?
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