AI and people: when technology gives time back to relationships

In recent months, I’ve realized something simple, but not so obvious. AI isn't just changing the way we work. It’s changing the quality of the time we spend working.

For years we have associated technology with a specific goal: doing more, faster. Optimizing, reducing, standardizing. All correct. But always with the same logic: increasing productivity.

Today a different effect seems to be emerging, less obvious but probably more interesting: Artificial Intelligence isn't just for doing more. It can help us get rid of a part of the work that, deep down, wasn't really our work.

I am referring to all those tasks that fill our days without representing the most significant contribution we can offer: searching for scattered information, reconstructing contexts, preparing first drafts, updating files, organizing documents, or consolidating data from different sources. Necessary activities, but rarely decisive.

When these activities start to decrease, something interesting happens. It’s not that we work less, but rather that the work that remains changes nature.

What changes in the discussion

The value of technology has always been measured in terms of efficiency: less time, fewer costs, more output. Now AI introduces a different metric, significantly shifting the paradigm: the most precious resource that technology can generate is not data, but time.

Time to better listen to a customer, to discuss with the team before making a decision, to delve into a problem instead of just managing it. Time to make room for what requires experience, sensitivity, and interpretive skills.

There is much talk about automation, much less about how the role of people changes within these processes. Yet the point is not to remove the human, but to use them better. AI is very good at processing, organizing, and synthesizing. People remain irreplaceable in making sense of things: understanding the context, making choices, taking responsibility, reading the nuances.

At Startup Bakery, we notice this especially during moments of collaboration. Preparing a proposal, discussing a project, reasoning over a decision. Today we get to the point where we really need to think much faster.

Let me explain better: before, much of the time was absorbed by preparation. Now that phase is compressed, leaving more room for discussion - but a concrete, deep discussion that naturally brings more value with it.

Consider, for example, a team that needs to prepare a proposal for a client. In the past, a significant part of the work consisted of gathering information, organizing materials, and building a first version of the document. Today, many of these tasks can be accelerated thanks to AI.

The time recovered can be invested in understanding the client's problem, in comparing different perspectives, and in defining a better solution.

Human in the Loop: not just supervision

However, this change also requires a broader reflection on the role of technology in organizations. The European AI Act introduces a principle destined to become increasingly central in the coming years: the Human in the Loop.

It is often interpreted as a simple control or supervision mechanism. In reality, it can be read as a way to design work: AI proposes, people decide what actually makes sense to do.

It is no longer just a theoretical question, but something that is triggered in everyday work. At Startup Bakery, we use Artificial Intelligence every day and in all departments.

From the development of new projects to communication, from operational activities to information analysis, AI has become a widespread work tool that helps us be faster, more organized, and more effective.

In many cases, we already start from a baseline that would have taken hours some time ago. But the point is not getting to an answer faster. The point is what happens next. Almost always, that first version is discussed, questioned, rewritten. People add context, correct directions, bring different points of view. And often the real value does not lie in the initial answer, but in the conversation that that answer generates.

Over time, we started giving ourselves an implicit rule: no output is ever final. Every result produced by AI is a draft on which to build together. And this, paradoxically, has increased the need for discussion instead of reducing it.

More efficient or more human organizations?

AI and people: when technology gives time back to relationships AI accelerates processes, but the real turning point will be successfully making the most of the time AI gives back to us, elevating human interaction.

For years we have used technology to compress time. Today we have the opportunity to use it to free it up.

We can fill that time with new activities, simply continuing to run faster, or we can use it to improve the quality of work: understanding better, discussing more, and making more solid decisions.

In my opinion, the real turning point of AI will happen when we are able to use well the time that AI gives back to us.