We’re redesigning work in real time.
Most of us are still figuring out what that means.

Emma Bridger

Minutes
8th May 2026
Employee Experience
Employee Engagement
AI

Something fundamental is shifting.

Not just because of AI.
But because of what AI is revealing about how we work.

For the first time, many of the things we’ve always spent time on —
writing, analysing, planning, communicating —
can be done in seconds.

And that creates a different kind of question.

Not “How do we do more?”
But:

“What actually matters now?”

A quiet realisation

Over the past few months, in conversations across The EX Space community,
a pattern keeps showing up.

AI is making things easier.

But it’s also making something else more visible:

  • where experiences feel clunky
  • where communication lacks clarity
  • where work feels transactional rather than human

Because when speed is no longer the constraint,
you start to notice the experience itself.

And that’s where things get interesting.

This was never just about tools

For years, we’ve tried to improve work by adding more:

More platforms
More channels
More content
More data

And now — AI.

But if the underlying experience isn’t well designed,
more capability doesn’t solve it.

It just amplifies it.

The shift we’re starting to see

What’s emerging — across both EX and IC —
is a move away from delivery, towards design.

From:

  • producing outputs → shaping experiences
  • sharing information → creating meaning
  • managing channels → designing moments that matter

AI accelerates that shift.

Because it takes on the tasks that used to fill our time.

And creates space to focus on the work that actually makes the difference.

Let the machines make it faster.
Let the humans make it matter.

What this means for Employee Experience

Across the employee lifecycle, AI can now support almost every moment.

It can:

  • surface patterns in feedback
  • personalise journeys
  • streamline onboarding
  • highlight risks early

But what it can’t do is just as important.

It can’t:

  • create a sense of belonging
  • understand nuance or context
  • design experiences that truly land

That’s still human work.

And arguably, it’s becoming more important — not less.

And for Internal Communication

We’re seeing a similar shift.

AI can now:

  • draft content
  • summarise updates
  • personalise messages at scale

Which raises a bigger question:

If AI can do the writing… what is our role?

In many ways, it brings us back to the essence of the discipline:

  • creating clarity
  • supporting leaders
  • designing communication as an experience, not just an output
  • building trust and connection

Because while AI can generate content,
it can’t read a room, sense hesitation, or build belief.

A useful tension

One of the most helpful reframes we’ve heard in the community is this:

AI doesn’t improve the quality of the work.
It reveals it.

If something is unclear, fragmented, or surface-level —
AI will scale that.

But if the thinking is strong,
AI can accelerate it in powerful ways.

Because:

Great AI output begins with great human input.

Where to start

There’s no single playbook for this yet - and that’s part of the opportunity.

But a simple starting point is:

  • Where are you spending time producing rather than designing?
  • What could AI take off your plate?
  • What might that free you up to do instead?

Then try something small.

Test. Learn. Adjust.

That’s how most people in the space are figuring this out right now.

If you want to explore this further

We’ve pulled together two practical guides to support this shift:

They’re designed as starting points — not finished answers.

And an invitation

We’re also hosting a conversation with practitioners who are actively experimenting with this in their organisations:

👉 https://peoplelab.co.uk/what-working-with-ai-reveals-about-the-quality-of-internal-communication-today/

No big claims.
No perfect models.

Just honest reflections on:

  • what they’re trying
  • what’s working
  • what’s harder than expected

Final thought

This isn’t about getting AI “right”.

It’s about rethinking the work around it.

AI won’t make work more human.

But it might give us the space to make it feel more human again.

And that’s something worth exploring — together.

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