Change at work rarely announces itself with a bang.
Most of the time, it doesn’t arrive with a strategy deck or a clear moment where everyone agrees something needs to be different. It sort of just … happens. One day you realize you’re working in a completely new way, and when you stop to think about it, you can’t quite remember when the old way stopped feeling normal.
This is all worth keeping in mind when conversations turn to AI in 2026. Not because AI is identical to everything that came before it, but because the way we tend to react to change usually follows a familiar pattern.
1. Landline Calls > Video Meetings
Not that long ago, having a landline phone on your desk was just part of working life.
In 2019, it wasn’t unusual to be in a small office and pick up the phone to call someone in another room. Boardrooms had dial-in conference phones. Calls were audio-only by default. No one really questioned it — that was just how communication worked.
Video calls existed in some form, of course, but they felt slightly awkward. Slightly unnecessary. A phone call did the job, and we were fine with that.
Then the following year, video meetings became unavoidable and expectations shifted — almost without anyone noticing. People realized that seeing who they were talking to felt better. Screen sharing made conversations easier. Meetings felt more focused, more human.
The key point here is that video didn’t win because it was new. It won because it made day-to-day communication easier. Once that became clear, going back to calls on a corded device started to feel outdated.
2. Spreadsheet Reporting > Live Dashboards
For a long time, reporting meant spreadsheets.
Campaign performance lived exclusively in Excel files. Numbers were copied across manually. Reports were shared on fixed schedules. If someone missed a deadline, everything stalled.
They were trusted. Familiar. Tangible.
As live dashboards became more common, the shift wasn’t really about automation for its own sake. It was about how teams talked about results.
Instead of asking whether the numbers had been updated, people started talking about trends and meaning. Reporting became something you could check at any point, not something you waited for. Conversations moved from “what happened?” to “what does this tell us?”
Over time, the value shifted. Not from control to chaos, but from manual oversight to shared understanding.
3. Printed Decks and Reports > Digital-First Sharing
There was a time when printing things felt professional.
Presentations were printed out for meetings, even though the same slides were on the screen. Reports were bound, packaged and sometimes even mailed. It wasn’t always clear what problem this solved, but it felt like the right thing to do.
Then work habits changed. Meetings moved online more often. Information needed to be shared quickly. PDFs, links and online documents became easier than paper ever was.
What’s interesting is that printing didn’t disappear because people argued against it. There wasn’t a big push to go paperless. It just became less convenient.
It’s one of those changes that barely registers in hindsight, but it’s a useful reminder that many shifts don’t happen because we decide to change — they happen because the old ways stopped earning their place.
4. In-Person-Only Networking > Hybrid Connection
For a long time, networking was tied almost entirely to being somewhere in person.
That model worked for a long time, especially in the events industry. The experience was about showing up and making the most of the time you had in the room.
What’s changed is that connection no longer has to start (or end) on the day of an event.
Hybrid and online sessions have extended the life of events beyond a single moment. Conversations continue after the final session. Attendees stay connected through digital communities, LinkedIn groups, newsletters and follow-up content that keeps the experience alive long after people have gone home.
This hasn’t replaced the value of being there in person. If anything, it’s made it clearer why in-person moments matter. But it has changed expectations. An event is no longer just something you attend — it’s something you stay connected to.
For organizers, this has shifted the focus from “Who turns up on the day?” to “How do we build a community around this?” For attendees, it means relationships don’t rely on chance conversations alone. They can develop over time, across channels and at a pace that suits them.
5. Manual Notetaking > AI-Assisted Meetings
This is where AI starts to show up in our conversation, but in a fairly unglamorous way.
Not long ago, every meeting needed a scribe. Someone had to listen, write, summarize and share notes afterward. That role often fell to the same person, regardless of whether it was the best use of their time or attention.
Now, automatic transcripts and AI-assisted notetaking are becoming the norm. Meetings can be recorded, transcribed and summarized without anyone having to split their focus during the call. Follow-ups can be clearer and more consistent. Nothing important gets lost because someone was busy writing.
The real benefit isn’t novelty. It’s relief.
This is a good example of AI working quietly in the background. Not replacing people. Not making big promises. Just smoothing out a part of work that’s always been a little inefficient.
The Pattern Is the Point
When you look at these changes together, a pattern starts to emerge.
Most of these adaptations didn’t happen because organizations suddenly became bold or visionary. They happened because the old way was no longer the easiest option. Once a better alternative proved itself, habits shifted and expectations reset.
This is why, in many cases, the introduction of AI-powered tools doesn’t need to be framed as a dramatic turning point. It’s already following the same path as the tools that came before it.
Where This Leaves Us
It’s understandable to feel cautious about AI. There’s a lot of noise around it, and not all of it is helpful. But AI doesn’t have to be an exception to the pattern we’ve seen before.
For teams feeling unsure, the question isn’t whether to transform everything overnight. It’s whether there are small, practical areas where AI assistance makes work clearer, easier or simply less frustrating.
If experience tells us anything, it’s that the changes that last aren’t the ones that shout the loudest. They’re the ones that quietly earn their place — and then stop feeling like change at all.
