The Quiet Quitters of Digital Transformation

We’ve all heard the phrase by now. “Quiet quitting.” It’s normally placed on employees, blamed for dips in productivity and debated endlessly across leadership teams, the whys, when’s, how’s and the next steps. The narrative is familiar: disengaged individuals doing the bare minimum, resisting change, and quietly stepping back.

But when it comes to digital transformation, especially in the age of AI and tools like Copilot, this narrative doesn’t quite hold up.

Because, more often than not, the real quiet quitters aren’t the employees.

They’re the leaders.

 

The Hidden Pattern in Transformation

Senior stakeholders play a role in any digital transformation project. They approve budgets, attend kick-off sessions, and speak confidently about innovation and the future of work. Yet even when everything looks aligned, research consistently shows a different reality. According to McKinsey, 70% of digital transformation initiatives fail, and one of the leading causes is a lack of leadership alignment and behaviour change; it’s not just technology limitations, they could just be the 30%.

That’s where the disconnect begins.

The enthusiasm shows up in meetings, and the agreement is there in workshops, but the overarching issue comes back to everyday behaviour; very little actually shifts. Emails are still written manually. Reports are still built the old way. AI tools sit unused.

This is what quiet quitting looks like at the leadership level.

 

Why Leadership Behaviour Matters More Than Strategy

Culture doesn’t come from just a strategy document (although it’s needed); it comes from behaviour that’s followed.

Harvard Business Review frequently highlights that employees take behavioural cues from leadership far more than from formal communications. In simple terms, what leaders do matters more than what they say.

If a leader talks about using Copilot but never demonstrates it, the message becomes clear: this isn’t essential. Do we actually need to use it if they’re not?

And when something feels optional, adoption slows.

This is particularly critical in AI transformation. Tools like Microsoft Copilot rely on experimentation, curiosity, and new ways of working. Without visible leadership engagement, employees hesitate.

They’ll start asking themselves: Is this really expected? What if I get it wrong?

Is anyone else actually using this?  And just like that, momentum disappears.

 

The AI Adoption Gap

Microsoft’s Work Trend Index has repeatedly pointed to a growing gap between AI ambition and AI adoption. Leaders are investing in AI, but employees aren’t always embedding it into their daily workflows.

You may be thinking, “What is the missing link?”, behavioural modelling.

When leaders actively use AI and then share outputs, refine prompts, and discuss what works and what doesn’t, they create psychological safety. They show that learning is part of the process, which is consistently done at Changing Social. Our senior leaders encourage the use of AI and get excited when we share new prompts or use cases.

Without that visibility, AI remains a concept rather than a capability.

 

Why Leaders Quietly Step Back

It’s important to say this clearly. This isn’t about poor leadership in most cases, it’s the opposite.

Leaders are busy (much like everyone), and rightly so; they’re normally under an innate amount of pressure. They’ve built successful careers on proven ways of working. And suddenly, AI introduces a new dynamic element, one where they’re no longer the expert.

That shift can be uncomfortable. Learning how to use tools like Copilot requires time, experimentation, and a willingness to get things wrong. For many leaders, that feels like a step backwards.

So instead, they step slightly to the side.

They sponsor the initiative rather than participate in it. They encourage their teams to explore while sticking to familiar habits themselves, as this can feel efficient.

But it creates a gap that employees quickly pick up on.

 

From Sponsorship to Participation

At Changing Social, we see this pattern time and time again.

Organisations invest in the right tools, deliver strong training, and build well-thought-out communication plans. Everything is in place.

And yet, adoption plateaus.

Not because people don’t understand the tools or, in fact, that they don’t want to use these tools, but more often than not because leadership behaviours haven’t shifted.

This is where the distinction between sponsorship and participation becomes critical.

Sponsorship says: “This matters.”
Participation shows: “This is how we do it.”

And transformation only happens when both are present.

 

What Good Looks Like

The good news is that leaders don’t need to be AI experts.

In fact, trying to be one often slows things down; what really matters is visibility and intent.

Leaders who openly experiment with AI create far more impact than those who wait until they’ve mastered it. A rough draft created in Copilot and shared in a meeting is far more powerful than a perfectly polished document created the old way.

It signals progress, it gives permission, it makes change feel real.

Deloitte’s research into digital transformation highlights that organisations with strong “human-centred leadership” are significantly more likely to succeed in transformation initiatives. The common thread? Leaders who model the behaviours they want to see.

 

The Role of Adoption and Change Management

This is where Adoption and Change Management (ACM) plays a crucial role.

Transformation is all about embedding behaviours. It’s about helping leaders as much as employees to adapt, experiment, and evolve. Structured support, tailored use cases, and safe spaces to learn can make all the difference, because leadership isn’t exempt from the learning curve.

And in an AI-driven workplace, no one can afford to sit on the sidelines.