The impact of AI on the practice manager role in thought leadership practice
The practice manager role looks different in 2026
So what is the focus of the practice manager role now that AI can do a significant chunk of the heavy lifting?
Many PMs I speak to have a quiet internal freak out when they sit with this question. If AI handles the administration, the execution, the operational layer, what's left for me? But in my experience that reaction comes from internal stories, not practical application.
If your practice manager is no longer spending their time in the weeds of administration, and instead overseeing the AI system that handles it, the capacity that creates can be significant. More time for client relationships, sales conversations, pipeline movement, and forward thinking. It’s not smaller or less than, it’s just different.
Note: CAN be. It’s not for everyone, and in some cases the ethical / moral tension or general dis-ease with AI, isn’t worth the energy cost of implementing AI processes. And that’s the beauty of running a found-led business or practice, you get to design your business in a way that suits your brain, energy, lifestyle and values. (Don’t compromise on that, with openness, not stubbornness.)
What often happens though is a practice manager role defaults to primarily EA-based activity when the pace is relentless and there's no reprieve to zoom out. The true purpose of the role gets buried. (For more on this, see the Support Spectrum blog)
And for business owners who don't have a PM and have been doing this admin themselves, if AI starts absorbing that work, please be intentional about what replaces it. That time won't fill itself with the right things without a plan. More time with family, on your health, or in sales conversations, but make the call consciously.
The skills and traits that matter most now
1. Deep understanding of the IP, the business, and the thought leader
This is the foundation everything else sits on, and it hasn't changed.
A practice manager who genuinely understands how you think, what you're building, and the difference your work makes can make solid decisions without you. They anticipate your thinking, catch problems before they land, and know when to act, when to protect your energy, and when to bring something to you first.
Which is why I have every new manager and thought leader engage in a Playbook Design process together from the start.
With AI, you can expedite the depth of that relationship. Working within shared project knowledge creates a living document of how you think and operate, updated in real time as your business evolves. A good practice manager works from that context, contributes to it, and keeps it current through consistent tagging, categorisation, and archiving. So your AI tools stay relevant, and your mental load stays low.
And a reminder worth repeating: you're running a thought leadership practice. People are buying your thinking, your expertise, your perspective. AI can support the expression of your IP. It shouldn’t replace it.
2. Systems thinking
Think of AI as a highly capable executor, good at following a system with guidance, useless at noticing when the system needs redesigning. That's the human edge, and increasingly it's where a practice manager holds their value.
One of the most consistent operational traps I see is misreading a systems failure as a people problem. The client gets blamed, or the tool, or the person who dropped the ball, when the actual cause is a structural gap nobody did the thinking around. A practice manager who thinks in systems looks past the symptom to what's contributing to the pattern.
In practice that looks like: mapping how the parts of the practice connect so a change in one area doesn't break another; identifying friction before it drains you; discerning noise from genuine value (just because an AI tool can trigger an automated Slack notification doesn't mean it should); and holding the holistic view of how all the tools, automations, and workflows connect.
3. Anticipatory thinking and prioritisation
This is the key distinction between a VA or EA and a practice/ business manager and it's commonly mis-understood.
It's not about micromanaging the calendar. It's about holding all the moving parts simultaneously, with awareness of the thought leader's energy, capacity, working preferences and uniqueness at any given time, and making considered calls about what needs attention now, what can wait, and what's quietly heading toward a collision point.
The Eisenhower Matrix is a useful starting framework, distinguishing between what's urgent, what's important, and what's pretending to be both because the nervous system is overloaded. But the skill goes well beyond it. What we want is a practice manager who holds the operational load in one hand and the human capacity question in the other, rather than defaulting to whoever is loudest or most recent in the inbox.
In practice: forecasting a capacity crunch six weeks out. Noticing a client relationship that hasn't had the right touch points. Spotting a week that looks fine on paper but carries enough cognitive load, logistics, and travel to put the week that follows at risk. These are the moments that separate a practice manager who manages the reactive load from one who holistically supports the practice.
4. Client relationship management and nurturing
Inboxes are already overwhelming. As AI automation accelerates, that's only going to get worse and most people cannot keep up with what's in there. And yet that's where your clients are. That's where your sales are.
To stand out, intentional human communication is going to matter even more. I'd encourage you to start preparing for more direct human contact, a phone call where an email used to be, for example. And increasingly, I'd encourage your practice manager to be actively involved in the client relationship, bringing humanness and real connection to your delivery processes.
Even though AI can draft all your follow-ups, in a thought leadership practice your humanness is what protects retention, referrals, and long-term sustainability.
5. Communication; boundaries, healthy challenge, and harder conversations
A practice manager who can only communicate when things are going smoothly isn't much use when they're not. (And things will not always be smooth.)
This part of the role requires courage, flagging a problem early rather than hoping it resolves, pushing back on a timeline that isn't realistic, holding a boundary with a client on your behalf, or telling you something you need to hear but haven't asked for. The best practice managers understand their role is to support you in making clear, values-aligned decisions. Not just the comfortable ones.
6. Energy management and neuro-affirming practice
A sustainable practice runs on your energy. A practice manager who understands that, and actively works to protect it, is worth more than one who measures success by tasks ticked. (For more on the difference, see [insert blog link].)
This means understanding your peak hours, your recovery needs, your capacity on any given week, and the conditions under which you do your best thinking. It means building a calendar that reflects reality, not aspiration (AI loves aspiration and appeasing). And knowing when to shield you from a demand on your time and when to push back on your tendency to overcommit. (We all have one.)
For practice managers who are neurodivergent themselves, or who support a thought leader who is, this also means building working rhythms that account for how individual brains function, not how productivity culture assumes they do.
7. Financial literacy (or a strong who-not-how instinct)
A practice manager doesn't need to be a CFO or bookkeeper, and you shouldn't expect them to be. But they do need enough financial literacy to make good decisions: noticing whether a new tool cost is worth absorbing, whether a quarter needs tighter reins, or whether a pattern in the expenses doesn't reflect your current goals.
A practice manager who can collaborate with AI to translate your numbers into meaningful briefs, for you or your accountant, is where I would focus their energy. And where that depth isn't their strength? Knowing who and when to delegate to, is just as strong of a skill.
8. AI engine building and management
This is a new responsibility and a growing skillset.
The build and design of complex AI systems can absolutely be outsourced to a specialist. But the practice manager needs to hold the holistic view: how the tools connect, what each one is there to do, and whether the whole system is delivering the intended outcomes. That responsibility sits with them, not the specialist who built it.
And this is absolutely not set and forget. The landscape is moving fast enough that staying current, iterating based on actual outputs, and knowing when something needs updating or replacing that's now part of the role.
What this means for hiring and existing roles
If you already have a practice manager
Your current position description is most likely overdue for a review. This doesn't have to be a performance management exercise, it can be a standalone conversation about what the role looks like in 2026 and beyond. But do the foundations work first. Get clear on your AI values and current operational priorities, and get their input too. Know what you're asking the role to become before you sit down to discuss it.
I've built a position description template specifically for the future of the practice manager role in a thought leadership practice, integrating AI capability throughout, and including role review prompts to support that conversation.
Get PD Template, Prompts & Pay Rate Guide Here
If you're looking to hire
What used to be primarily EA and administrative in nature is shifting toward client relationships, pipeline support, marketing content and planning, and strategic operational oversight. The task-execution layer can be absorbed by AI, which means the human role now has more room for the work that actually requires a person.
Hire for the old version and you'll attract the wrong person. And set them up to be outpaced by tools within six to twelve months.
Wanna chat this through? Grab a time to pick my brain below.
