AI is very good at summarising but does it show the real story?

AI can now read thousands of employee comments in seconds. But can it help leaders listen better?

A lot of HR teams are already using it to work through open-text survey responses, exit interviews and pulse feedback. What used to take days of manual reading and mention counting can now be turned into a set of themes in minutes. You start to see consistent patterns around things like manager quality, workload, pressure, and in some cases early signals that people may be thinking about leaving.

That is useful and it gives you a much broader and faster view of what employees are saying, especially in organisations where the volume of feedback makes it difficult to get a clear picture. But it brings us back to a familiar question. Not whether we have the data, but whether we actually believe what it is telling us.

In my last article I wrote about how HR data can sometimes feel a bit too neat. The same risk shows up here, just in a more advanced form. AI is very good at summarising what people have said, but it can give a false sense of certainty about what it means.

Two parts of the business might both show up with “burnout” as a theme. On the surface that looks like a clear, shared issue. In practice, the underlying causes can be completely different. In one area it may be sustained workload pressure. In another it might be poor prioritisation, unclear direction, or inconsistent management. The label is the same but the reality behind it is not.

This is where the distinction between data and insight really matters. AI tools can organise and surface the data, but the insight is still the point at which someone in HR is prepared to say, with confidence, “this is what is going on here, and this is what we should do about it.”

That step should not, in my professional opinion, be automated. If anything, AI raises the standard. When you can generate themes this quickly, there is less tolerance for staying at the level of summary. Leaders will quite reasonably expect a clear view on what sits behind those themes and what action follows.

The organisations getting real value from this are not the ones using the most sophisticated tools. They are the ones that treat AI as a way of getting to the starting point faster, and then do the harder work of testing, challenging and building a view they are prepared to stand behind.

Employee listening has never really been about how quickly you can process feedback – it is about whether the organisation is willing to take what it hears seriously enough to act on it.

If you are trying to get to the point where your employee data is something you are prepared to stand behind in a room with business leaders, I am always happy to have a conversation about how you can achieve this.