AI, Skills and the Future of Work: What Practitioners Need to Pay Attention to Now

Emma Bridger

Minutes
29th January 2026
Employee Experience
Employee Engagement
AI

If the conversations coming out of Davos felt loud, or overwhelming, you’re not alone.


But beneath the headlines from the 
World Economic Forum Annual Meeting was a quieter and more useful message for people working in employee experience, internal communication and people roles:


Work is changing faster than most organisations’ people practices are designed to cope with.


This isn’t about predicting the future. It’s about understanding what’s already shifting, and where curiosity, not expertise, is now the most valuable professional skill.


Here’s what matters most, and why it’s relevant to your day-to-day practice.

1. AI Is Already Changing How Work Feels — Not Just How It’s Done

One of the strongest signals from Davos was that AI is no longer sitting “off to the side” of work.


People are already:

  • Using AI to think, draft, analyse and decide
  • Working alongside tools that influence pace, quality and expectations
  • Feeling subtle pressure to adapt — often without clear guidance


This means AI isn’t just changing outputs.

It’s changing how work feels, how confident people feel, and how visible (or invisible) effort becomes.


Why this matters for EX and IC practitioners

If experience design doesn’t keep up, AI adoption can quietly increase:

  • Cognitive load
  • Anxiety
  • Role ambiguity
  • Disconnection


Your role increasingly sits at the intersection of 
sense-making, confidence-building and experience design — whether or not AI sits in your job title.

2. Skills Are No Longer a “Learning Team” Problem

At Davos, skills were talked about less as courses and more as capability systems.


The shift is away from:

  • “What training do people need?”
    towards
  • “What capabilities does this work now require — and how do people build them safely?”


And crucially, this includes:

  • AI literacy
  • Critical thinking and judgement
  • Adaptability and learning confidence
  • Knowing when not to use AI


Why this matters in practice

People don’t fall behind because they’re resistant.
They fall behind because learning isn’t designed into work.


EX, IC and people professionals are increasingly being pulled into:

  • Designing learning in the flow of work
  • Making skill expectations explicit
  • Creating psychological safety to experiment and ask “basic” questions

3. Why People Strategy Is Quietly Becoming the Differentiator

Here’s an uncomfortable truth that came through clearly at Davos:


Most organisations now have access to the 
same AI tools.


What’s different is how those tools are introduced, explained, supported and integrated into real jobs.


Two teams can use the same technology and have completely different experiences:

  • One feels empowered, curious and supported
  • The other feels overloaded, behind and quietly anxious


That difference isn’t technical.

It’s experiential.


This is where people strategy shows up — whether it’s intentional or not.


It shows up in:

  • How clearly change is explained
  • Whether people are given time to learn
  • Whether experimentation is rewarded or punished
  • Whether leaders model curiosity or certainty

4. Human Skills Are Becoming the Work — Not the “Soft Stuff” Around It

Despite the AI hype, one message came through consistently:


The more AI takes on execution, the more human work shifts towards:

  • Judgement
  • Sense-making
  • Relationship-building
  • Ethical decision-making
  • Navigating ambiguity


These aren’t “nice to have” skills anymore.

They are the work.


Why this matters for EX Space members

This elevates the importance of:

  • Facilitation over broadcasting
  • Listening over assumptions
  • Designing confidence, not just comms
  • Creating space for reflection and dialogue


In other words, the work many practitioners already do is becoming 
more central, not less — even if it hasn’t always been recognised that way.


5. Why So Many AI Initiatives Are Stalling

Another insight from Davos:
many organisations are struggling to turn AI investment into real value.


Common reasons include:

  • People don’t understand how AI fits their role
  • Learning feels risky or unsupported
  • Workloads increase instead of reducing
  • Trust hasn’t been built


From an EX and IC perspective, this isn’t surprising.


When people experience change as “something being done to them”, adoption drops — quietly but decisively.

6. Trust Is Becoming a Design Requirement

Trust came up again and again in Davos discussions — not as an abstract value, but as a practical concern.


People want to know:

  • How AI is being used
  • What decisions it influences
  • Where human judgement still sits
  • Whether fairness and dignity are protected


This isn’t solved through policy documents alone.


It’s solved through:

  • Clear, honest communication
  • Involvement and dialogue
  • Consistent experience over time


Which puts EX and IC right at the heart of responsible AI adoption.

7. Early Careers Are a Canary in the Coal Mine

A final signal worth paying attention to:
entry-level and early career roles are changing fastest — and often with the least support.


Traditional “learning by doing” work is shifting or disappearing, raising real questions about:

  • How confidence is built
  • How skills are developed
  • How inclusion is maintained


If organisations don’t redesign these pathways intentionally, gaps will widen.


So What Does This Mean for You?

You don’t need to become an AI expert.
You don’t need all the answers.


But you 
do need curiosity.


The practitioners who will thrive in this next phase are those who:

  • Ask better questions about work and experience
  • Help others make sense of change
  • Design learning and confidence into everyday moments
  • Stay open, reflective and people-centred


At EX Space, we see this moment not as a threat, but as a shift that finally brings 
experience, communication and people-centred design to the centre of organisational life.


Not because technology demands it — but because people do.