Most organisations are asking the wrong question about AI. Here’s what the data says leaders actually need to do.
Your organisation is probably investing in AI right now. New tools, new workflows, new expectations. And somewhere in the middle of all that, your people are watching, waiting, and wondering what it means for them.
Here’s what the data tells us: they’re more ready than you think.
McKinsey’s 2025 workplace research surveyed thousands of employees and C-suite executives across multiple countries. Its conclusion was blunt: the biggest barrier to AI success is not employee resistance. It is leadership that is not moving fast enough.
While 92% of companies plan to increase AI investment over the next three years, only 1% say they’ve actually reached maturity in how AI is being used. The technology exists. The willingness is there. The gap is almost always at the top.
The Numbers That Should Give Leaders Pause
75% of global knowledge workers are already using generative AI at work, many without formal guidance or support from their organisations. 47% of employees believe AI will handle more than 30% of their daily work within a year. When executives were asked the same question, only 20% expected that level of adoption.
That gap between what employees see coming and what leadership is preparing for is where most AI transitions quietly stall.
And when things do go wrong – when adoption slows, morale drops, or teams disengage – leaders are 2.4 times more likely to blame employee readiness than to examine their own clarity, communication, and direction.
The Real Challenge Isn’t Technological
AI is reshaping the way work gets done at three levels simultaneously. At the role level, familiar tasks are disappearing or transforming, often without announcement. At the team level, adoption is uneven and capability gaps are widening. At the leadership level, the old model of command-and-control is simply inadequate for the pace of change.
What teams need from leaders right now isn’t a polished AI roadmap. It’s three things: reassurance that technology is meant to help them, not replace them; clarity about what still matters and why; and honest acknowledgment that leaders are figuring this out too.
The leaders who are navigating this well are not the ones with all the answers. They’re the ones building the conditions for trust, listening before speaking, naming the uncertainty rather than papering over it, and reshaping how their teams contribute rather than just adding new tools to old structures.
The Ernst & Young Work Reimagined Survey 2025 puts a number to what good looks like: employees who actively guide AI outputs see productivity gains of 30 to 35 percent. Full automation without human oversight produces far smaller returns. Human leadership, it turns out, is not the obstacle to AI performance, but the accelerator.
What This Means for You
If you lead a team, a function, or an organisation, the question worth sitting with is not “How do we implement AI?” It’s “Are we leading in a way that makes it possible for people to adapt, contribute, and trust the direction we’re heading?”
That answer looks different depending on whether you’re a senior executive setting strategy, an HR leader redesigning how capability gets built, or a people manager trying to hold your team together through constant change. But the core of it is the same: principle-centred leadership, honest communication, and a genuine investment in your people’s ability to grow.
We’ve been working on a framework that addresses exactly this — grounded in market data, FranklinCovey research and real conversations with leaders navigating AI transition right now.
We’re bringing these to in-person conversations at an exclusive leadership event in June 2026. Click here to join us.
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