AI writes the analysis in 20 minutes instead of 90. It structures presentations in seconds and summarizes two-hour meetings before the first post-meeting coffee has even been ordered. Great. We save time. Automate routine tasks. Produce faster. But amid all the excitement around AI and productivity, companies may be overlooking one crucial question:
What happens when every individual becomes faster — but the team does not get any better at working together?
Because five more productive employees do not automatically make a more productive team. And this may be one of the most underestimated challenges of the new world of work.
AI accelerates work. But it does not automatically improve collaboration.
AI is no longer a topic for the future. It is already changing the way people research, analyze, write, plan, and prepare decisions. As a result, the key management question is increasingly shifting.
It is no longer just:
“Are our employees using AI?”
But rather:
“What is AI doing to the way our employees work together?”
Because many of the most costly inefficiencies do not occur in individual work. They occur between people. Information is not shared. Decisions are postponed. Responsibilities remain unclear.
Departments optimize their own goals instead of the overall outcome. No one speaks up, even though someone has already spotted the mistake. An AI copilot can help.
But it cannot create trust. An unproductive meeting can be transcribed perfectly. That still does not make it a good meeting. And automation can turn a bad process into one thing above all:
a faster bad process.
Perhaps we are solving the wrong productivity problem
Companies like to measure how much individual people accomplish. Tickets. Revenue. Calls. Projects. Output.
But in the age of AI, another form of productivity may become even more important:
How quickly can a team reach a good decision together?
How effectively does knowledge flow? How openly are mistakes addressed? How constructively do people challenge one another?
How quickly can a team reach agreement when five intelligent people have five different solutions? This is where it becomes clear whether individual AI-driven efficiency actually translates into business performance.
After all, the fastest person in the room is not automatically the most valuable one. Sometimes, it is the person who enables everyone else to work better.
The more powerful AI becomes, the more valuable human skills become
At first, that may sound paradoxical. The more capable technology becomes, the more important distinctly human abilities may become.
Analytical thinking. Judgment. Creativity. Leadership. Communication. The ability to connect different perspectives. It makes sense. AI can generate ten strategies.
People still have to decide which one to pursue.
AI can analyze data.
People still have to decide which data they trust.
AI can write the perfect message.
It cannot guarantee that two colleagues will actually understand each other.
The future of work is therefore probably not:
Humans or AI.
Nor is it simply:
Humans plus AI.
It is:
Humans + AI + other humans.
And that final part is surprisingly easy to forget.
Collaboration has to be experienced
That is exactly why the role of teambuilding may also be changing. For a long time, team events were primarily seen as a reward. A pleasant afternoon.
Something to eat. A few drinks. A good atmosphere. Then back to the office. There is nothing wrong with that.
But a good team experience can do more. It can create a setting in which people genuinely have to act together. Not talk about collaboration.
Collaborate.
An escape game creates exactly this kind of situation. Information has to be shared. Clues have to be connected. People have to set priorities and make decisions.
Sometimes, someone has to let go of their own idea because another one is better. And no one needs to announce beforehand:
“Now we are going to practise teamwork.” The situation simply demands it.
What happens when the challenge is tailored to the company?
This idea becomes even more interesting when game-based experiences are designed specifically for a particular organization. Because not every company faces the same challenges.
Perhaps the goal is to break down information silos between departments. Perhaps new employees should not only learn about the company culture, but actually experience it.
Perhaps the focus is on ownership. Leadership. Decision-making.
Or perhaps different departments need to learn how to combine their information into one shared picture. This is where tailor-made business games can play an additional role. At URBANescape, we develop customized games — digital, physical, or hybrid — tailored to a company, its content, and the experience it wants to create.
For example, a game could be designed so that different participants receive different pieces of information. No one can solve the task alone. Then, suddenly, a new piece of information changes the situation. The team has to reprioritize. Decide. Communicate.
And perhaps abandon its original approach altogether. Suddenly, the abstract goal of “better collaboration” becomes a concrete experience. Not as a replacement for organizational development, mentoring, or real projects. But as a safe environment in which collaboration can be experienced, tested, and practised.
What teams can discover about themselves
At URBANescape, we repeatedly observe how differently people respond to shared challenges. Suddenly, the manager does not automatically have the best idea.
A junior colleague identifies the crucial connection. A quiet employee keeps track of the bigger picture under pressure. And someone who barely stands out in meetings suddenly succeeds in bringing different perspectives together.
That does not mean an escape game can fully analyze a team. But situations like these can offer a new perspective on how people work together. And sometimes, those moments change the way colleagues see one another.
The best teams of tomorrow will need more than better tools
Perhaps this is the real paradox of the AI-powered workplace. We invest enormous amounts of energy in making machines more intelligent. At the same time, companies must make sure that people do not become worse at working with one another.
That is why it is not enough to train employees in prompting, automation, and new AI tools. Companies also need to create space for:
Judgment. Trust. Communication. The ability to handle conflict. Leadership. Shared decision-making. In day-to-day work. In projects. In mentoring. And sometimes deliberately outside the office.
This is where Serious Games can provide a safe experiential environment in which people practise making decisions, sharing information and collaborating in realistic situations.
Because once almost every company has access to similarly powerful AI systems, differentiation may emerge in a surprisingly human place:
not from the tool a company has — but from the quality of collaboration it is able to create.
AI can make people faster.
A good team still has to learn how to become better together.