Your Employees Have Feelings About AI. Most Leaders Don't Know What They Are.

We asked 105 managers and senior leaders how AI is reshaping workplace culture. The data revealed a gap that should keep every CHRO up at night: most organizations are deploying AI without the governance, training, or communication that makes it work for people — not just productivity.

75% report growing or widespread AI adoption
74% say AI's cultural impact is positive
44% have clear, well-communicated AI guidance

AI is already in your workplace. Three-quarters of the managers and leaders we spoke with report that their workforce has either growing or widespread AI adoption. And in many organizations, that adoption happened fast — faster than the policies, training, and conversations needed to support it.

That speed creates risk. Not the sci-fi kind. The very human kind: employees who feel anxious, under-supported, and unsure of where they stand.

‍
The optimism is real. So is the anxiety beneath it.

Here's the number that surprised us most: 74% of the leaders we surveyed describe AI's impact on culture as positive. No one said it was negative. That's a remarkably consistent signal, and it reflects something genuine — AI is delivering efficiency, freeing up time, and making certain work less tedious.

But the 27% who describe the impact as "mixed" are telling you something important. And the open-text responses fill in the picture that the numbers alone can't:

"Some may think they need to outperform AI in order to keep jobs."

"Things are expected to be completed quicker, so more work is then given. So it has increased expectations."

Job displacement was the single largest concern in our study, surfacing in 37% of open-text comments. Data privacy concerns came second (24%), followed by worries about inaccurate outputs and hallucinations (21%), and overreliance reducing critical thinking (15%).

These aren't irrational fears. They're rational responses to a technology that's moving fast, in organizations that often haven't caught up. When employees believe AI threatens their roles, they're less likely to adopt it openly — creating drag on the very efficiency gains leadership is hoping to achieve.

The key tension: AI is mostly experienced as a benefit when it increases speed, information access, and structured support. It becomes a threat when it shifts into pressure, ambiguity, or the sense of replacement. The difference isn't the technology — it's how leadership handles the transition.

‍
Middle managers are absorbing the tension — and it shows.

One of the most revealing findings in our data is the split by leadership level. Senior managers (40%) and C-suite executives (38%) are most likely to describe AI's cultural impact as "very positive." Front-line managers are largely positive too (23% very positive, 54% somewhat positive).

Middle managers are the outlier. 36% describe the impact as mixed — the highest rate of any group.

This makes sense when you think about where middle managers sit. They're receiving AI directives from above and fielding employee concerns from below. They're caught between executive optimism and frontline reality. And in many cases, they're doing it without clear guidance on what to say or what the policy actually is.

If your change management strategy doesn't specifically address middle managers, it has a gap.

Governance isn't just a compliance issue. It's a culture issue.

Only 44% of the leaders in our study said their organization provides clear, well-communicated AI guidance. The rest are operating on informal norms, partial policies, or nothing at all.

The consequence is stark. Among organizations with clear governance, 93% of leaders describe AI's cultural impact as positive, and 41% say it's very positive. Among those with little or no guidance, 54% report mixed impact — and only 8% say very positive.

That's a 33-point gap in positive sentiment, driven almost entirely by whether the organization has bothered to write down its expectations.

"Clear guidelines on how and when to use AI would help leaders set consistent expectations. Regular training and open discussions can reduce fear."

The absence of governance doesn't create a neutral environment. It creates an anxious one. When employees don't know where the lines are, they draw their own — often in the most conservative direction possible.

Three things people leaders should do now.

We synthesized our findings into three strategic priorities. They're not quick fixes — they're the work of culture-building. But they're grounded in what 105 managers actually said they need.

1. Stop treating AI adoption as a technology project.

It's an organizational change challenge. That means it needs the same rigor you'd bring to any major people initiative: stakeholder communication, training, feedback loops, and leadership modeling. The organizations in our study with clear governance didn't just have better policies — they had better outcomes, better sentiment, and higher adoption rates.

2. Ask your workforce what they're actually experiencing.

Our study provides directional insights, but your organization is not our sample. The anxieties showing up in your HR data, your pulse surveys, or your exit interviews may be very different from what we found — or far more acute. The only way to know is to ask, in a setting where people can answer honestly. That means open-ended questions, not just rating scales, and research methods that surface what people won't say in a town hall.

3. Frame AI as augmentation, loudly and consistently.

The single most-endorsed comment in our entire study — 81% agreement — was about efficiency: "It is eliciting a much higher level of efficiency amongst our employees." But 37% of concern comments were about job loss. That gap is a communication problem. Leaders need to make the argument explicitly and repeatedly: we are not training AI to replace people, we are using it to make their jobs better. That message has to come from the top, and it has to mean something in practice.

The bottom line.

The question of whether AI will reshape work is settled. It already has. The question before HR and people leaders now is whether that reshaping will happen in a way that's healthy, equitable, and sustainable — or in a way that breeds fear, erodes trust, and loses the talented people who feel left behind.

That outcome is not determined by the technology. It's determined by the decisions leaders make in the next 12 months.

‍
For a more in-depth exploration of these findings, you can explore the insights report here.

‍

‍

‍