AI in the workplace: what happens to community when the machine is most efficient?

The most interesting question about AI in the workplace is not technical. It is human: What happens to us when we work side by side with something that never gets tired, never takes offence and always has an answer ready?

A system that never takes a coffee break

AI is built for efficiency. It writes the draft in seconds, summarises the meeting before the coffee is cold and answers at 11 pm without a sigh. It has no bad days, no limits to its patience and no need for praise.

This is no longer the future. Most larger Danish companies have already put the tools to use.

Source: Danish Agency for Digital Government, fact sheet on companies' use of AI 2023–2025, based on Statistics Denmark (September 2025).

Implementation plans are about licences, security and training. But there is one chapter that rarely makes it into the plan: what it does to the people who have to work with it.

But we do not go to work to be efficient

Ask an employee what makes a good working day, and the answer is rarely about how quickly the tasks were done. It is about the colleague who helped. About being seen for a job well done. About the laughter at lunch and the feeling of belonging somewhere.

That is not soft decoration on the "real" work. The need for togetherness and belonging is among the most fundamental things in us, and it is often what makes people stay, go the extra mile and look out for each other.

This is where the two meet. When it is faster to ask a chatbot than the colleague next to you, we save time. But the question to the colleague was never just a question. It was also a small way of saying "I need you" and "you know something I don't". Those small conversations are what a community is built from.

This is what we call cohesion: the invisible glue that makes a group of people feel like one team rather than colleagues who happen to share a network. Cohesion is not created in strategy papers. It grows from thousands of small encounters in everyday work, and the sum of them is your workplace culture: the way you actually talk to each other, help each other and handle mistakes – also when nobody is watching.

That is why AI is not just an IT project. It is a culture project. Every tool that changes who we ask, how we share knowledge and who gets the credit also changes a little of the culture. It can strengthen cohesion, because there is more time for what matters. Or it can weaken it, if everyone sits alone with their screen.

The emotions that are not in the implementation plan

Behind the calm faces at the staff meeting, there is often more going on than you think. Some feel excitement and curiosity. Others feel a quiet unease: What is my expertise worth when a machine can write the draft? Some feel pride in a craft they spent years learning. Others feel a little ashamed of not keeping up and do not say it out loud.

None of these reactions are wrong. But they are different, and they are often connected to who we are. The action-oriented dives in and experiments. The reflective wants to understand why and how first. The people-driven asks what it does to the team. The task-driven asks whether the quality holds.

When the differences are not talked about, they turn into friction: an A-team and a B-team, unwritten rules and an uncertainty nobody dares to show. When they are talked about, they become a strength. The team needs both those who lead the way and those who ask the critical questions.

Emotional intelligence: the skill the machine cannot take over

Emotional intelligence – often called EQ – is the ability to understand and manage both your own emotions and those of others. The concept became widely known in the 1990s and is typically described through five building blocks: self-awareness, self-regulation, motivation, empathy and social skills.

AI can imitate empathy in a text. It can write a kind email and suggest the right words for a difficult conversation. But it does not sense the mood in a meeting room. It does not notice the colleague who has gone quiet over the past few weeks. It cannot build the trust that makes a team dare to tell each other the truth.

Perhaps this is the most important point: The more cognitive work the machine takes over – analyses, drafts and summaries – the greater the value of what it cannot do. Listening, reading the room, giving feedback that lands and handling a conflict before it grows. In other words: When IQ can be borrowed from a machine, EQ becomes what makes the difference – in leadership, in collaboration and in the culture.

Emotional intelligence can be trained, and a good place to start is the first two building blocks: self-awareness (how do I react when something new arrives?) and empathy (why does my colleague react completely differently?). That is exactly what personality types make concrete.

To talk about efficiency, you have to meet inefficiently

There is a well-known saying that culture eats strategy for breakfast. That applies to AI too. The best AI strategy stands or falls with the workplace culture: whether people dare to share what they have learned, ask when they are in doubt and admit when something went wrong.

That is why the conversation about AI should not happen in an email, an e-learning course or a quick Teams call. It requires what the machine cannot give: being in the same room, seeing each other, laughing together and having time for the difficult questions.

That is why a kick-off or strategy day and a Company Day or employee day are the obvious place. The whole organisation is together, management is present, and there is room to go deep – and to turn the conversation into shared agreements everyone can stand by afterwards.