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Propel your use of AI by making your workforce ready for it

Building an AI-Ready workforce through Emotional Intelligence (EI)

Key points

  • AI adoption isn’t just technical—it’s emotional.
  • Emotional Intelligence (EI) is the missing link in AI success.
  • Confident, curious teams are what make AI work.

Getting the buy-in, now you have AI

The generative AI boom has hit the workplace with enormous potential and equally enormous uncertainty. While leaders are investing in tools that promise to boost speed and quality, only 8% of employees using GenAI regularly say they’re realising those gains. For managers, HR and CIOs, the gap between AI capability and AI adoption has become a serious threat to productivity—and culture.

Why? Because adopting AI isn’t just a technological shift. It’s an emotional one.

The real AI challenge: anxiety, trust and usefulness

Gartner outlines three major leaks in the AI adoption pipeline:

  • Awareness: Employees don’t know what AI can do.
  • Adoption: They’re unsure whether it helps or threatens their job.
  • Use: Even when they try it, they don’t get the promised benefit.

This is less about software and more about psychology.

If people fear AI will replace them, or if they think it’s just a gimmick, they’ll disengage. If they feel left behind or patronised by digital learning, they’ll resist. The result:

  • low trust,
  • poor usage,
  • wasted investment.

💡 

According to Foundry’s 2024 State of the CIO survey, 85% of IT leaders say that CIOs are increasingly becoming changemakers in their organizations, but only 28% call leading transformation their top priority.

In another recent survey, 91% of large-company data leaders said “cultural challenges/change management” are impeding organizational efforts to become data-driven.

Only 9% pointed to technology challenges.

Faisal Hoque, Thomas H. Davenport, and Erik Nelson (9/4/2025), 'Why AI Demands a New Breed of Leaders', MIT Sloan Management Review',

EI bridges the AI gap

EI allows leaders to respond to fear with empathy, to uncertainty with clarity, and to change with connection. When applied effectively, EI transforms AI adoption from a compliance initiative to a confidence initiative.

Practices like applied improvisation (AIm) and narrative framing are especially useful:

  • AIm helps teams adapt quickly to new tools and shifts.
  • Storytelling helps connect AI capabilities to real, human outcomes.
  • Growth mindset coaching reframes failure and trial as part of progress.

The result? A workforce that explores rather than resists—and learns rather than retreats.

How managers can lead with EI in their AI strategy

1.

Co-create an outcome-based AI roadmap

Take a page from Red Hat: focus less on training modules and more on human outcomes. Ask, “What does a confident, AI-capable employee look like here?” Then design the roadmap backwards from there.

2.

Grow (more) psychological safety around tech

If people are afraid of sounding stupid, they won’t ask questions. Without asking, they won’t learn. Applied EI practices help normalise not-knowing, encourage questions, and create space for experimentation.

3.

Elevate trust through transparency

Articulate your organisation’s AI principles clearly. Be honest about what’s changing, what’s not, and where AI fits into future roles. EI allows leaders to frame these messages with care, not spin.

4.

Invest in ongoing, human-led learning

GenAI is evolving fast. Ongoing curiosity is essential. EI-based facilitation, such as using peer-led coaching or AIm-led innovation sprints keeps learning active and relevant.

The bigger risk of the divide between tech and trust

Without emotionally intelligent leadership, AI becomes another domain where people feel left out, judged, or overwhelmed. This puts huge obstacles in the way of the organisation growing ahead of its competition. That breeds silence which kills innovation. But with EI, organisations can build capability but confidence.

Closing thought

Adopting AI well isn’t about replacing people. It’s about expanding them.

And to do that, you need Emotional Intelligence.

"
 And motivation, commitment, building trust, EI, effective leadership, communication, all these things are really important. Because we have to deal with people and people deliver projects.
.
We're shifting into an emerging 3.0 model with a focus on ambiguity. But know or certainly expect that projects are going to change as you move forward, that stuff is going to emerge that we weren't expecting, and external environments are going to change. And the project that you deliver, probably won't be the project that you started off thinking about.
And as you shift away from structure, we have to understand emerging requirements, how to deal with complexity. So that's the way that I see project management having evolved over the last probably three decades.
.
And one of the things about the emerging model is that we need to understand that we need to be creative and innovative, and do things differently to deliver projects that are ambiguous and uncertain.
And one of the good things about creativity and innovation is they can't be automated.
And looking recently at AI and the automation of processes and repetitive work, which is relevant to all management, we need to focus on the stuff that systems can't do, which requires a high level of soft skills. Can you persuade, influence, empathise, inspire, build rapport, manage emotions and behaviours, and maintain a sense of humour under pressure. Well, systems can't do that.
And people who have improvisation, rational and creative mindsets can do that better than people who don't.
.
So organisations are starting to accept the fact that we need to build skills in our people that maybe we didn't really look for when we interviewed them.
And if you want to keep your job, where more and more jobs are being automated, then you need to be good at the soft stuff. And improvisational work depends on that, you know, empathy, inspiration and influence 
"
Interview with Stephen A. (Steve) Leybourne

Ph.D (Cardiff, UK) Professor (Assistant), Boston University

For further insights on cultivating high-performing teams and embedding psychological safety into your organisational culture, connect with Rebooter Group's Human Psychological Safety and Performance specialists.

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