Last September we wrote about why professional skills deserve the same investment as technical ones. Communication, facilitation, coaching, team working: the things that turn technical capability into actual delivery. It was a simple argument; technical skills get a team started and professional skills keep it going.
A year on, that argument hasn't just held up. It's got stronger, and AI is the reason why.
What's changed?
AI has taken over a real slice of the routine technical and analytical work that used to fill people's days: first drafts, research, data pulls, the early-stage grunt-work that junior team members traditionally cut their teeth on. Across professional services, firms are already grappling with what that means for the future. PwC's UK chair has spoken about needing to get junior staff into rooms with clients and colleagues sooner, precisely because the tasks that used to teach "the ropes" are disappearing. If AI can do the analysis, what's actually left for people to do, and get good at?
The answer, consistently, comes back to the intrinsically human part: reading a room, managing a difficult conversation, coaching someone through a stuck project, holding a team together through change. None of that shows up in a chat prompt.
Communication still comes first
Our original piece talked about a team whose technical strength was undermined by poor communication, misunderstandings and mismatched expectations doing more damage than any bug. That hasn't changed. If anything, as more of the technical work gets automated, the moments where humans actually talk to each other carry more weight, not less. A sprint planning session, a stakeholder update, a difficult piece of feedback...AI can help you prepare for these but it can't have them for you.
Tools like DISC and Root Cause Analysis still do the job they always did: giving people a shared language for why colleagues communicate differently, and reducing the friction that can cause when nobody's named it. 
Facilitation and coaching become the differentiator
A year ago we made the case that facilitation and coaching shouldn't sit only with Agile or leadership coaches, that they're skills for anyone who wants to lift team performance. That case is easier to make now. As AI absorbs the analytical groundwork, the value of a well-run retrospective, a genuinely inclusive planning session, or a manager who asks "what do you need to succeed?" instead of "why isn't that done?" goes up. These are skills, not personality traits. They can be taught, and they can improve with practice.
Remote working needs the same rethink
Distributed teams were already dealing with meetings that felt transactional and communication that got lost in translation between Teams messages and video calls. Add AI-assisted work into the mix, more asynchronous output, less naturally occurring interaction, and the intentional habits that build trust across distance matter even more. Structured check-ins, clearer written communication, and knowing how to adapt your style for a screen rather than a room aren't nice-to-haves. They're the difference between a team that stays connected and one that quietly drifts apart.
Leadership is the multiplier
The clearest shift we're seeing is at the leadership level. Leaders who have invested in their own professional skills, coaching conversations, adaptable communication, comfort with ambiguity, are better placed to help their teams navigate a genuinely unfamiliar moment: working alongside AI tools that are still finding their shape. Leaders who haven't will find that gap harder to close under pressure than it would have been a year ago.
The bottom line
None of this is about resisting AI or treating it as a threat to be managed. As AI takes on more of the work that used to keep people busy, it doesn't manage the work that keeps teams and organisations functioning. Somebody still has to run the retro, coach the struggling team member, deliver the hard message, hold the room.
Organisations that treat professional development as a strategic priority rather than an occasional add-on will be the ones whose teams can actually make use of everything AI gives them. The ones that don't will find their technical capability outpacing their ability to actually deliver with it.
Where to start?
A few practical steps, whether you're picking this up for the first time or building on where you left off last year:
Make it team-wide:
Facilitation, coaching and communication skills aren't leadership perks. Everyone benefits from them, and everyone should have access to them.
Revisit the basics regularly:
Communication styles, psychological safety, feedback skills: these aren't one-and-done. They need refreshing as teams change and pressures shift.Build it into how AI gets adopted:
If your organisation is rolling out AI tools, pair that rollout with the human skills that determine whether people use them well, not just whether they're technically capable of doing so.Make growth visible:
Recognise it when someone facilitates a session well, coaches a colleague through a blocker, or leads a difficult conversation with skill. What gets noticed gets repeated.
We believe humans learn best from humans. Our domain experts are active practitioners of the skills they teach. Get in touch today to find out how our Professional Skills training courses covering Agile and Scrum, facilitation, team coaching, and leadership can promote healthy, deliberate continuous improvement.