The Insidious Plague of Our Time: Information Obesity

How many saved posts do you have on your phone? How many articles have you marked as “I’ll read this later”? How many online courses have you enrolled in but never completed? How many books are waiting to be read on your bookshelf? How many podcast episodes have you added to your list thinking that you will definitely listen to them one day?

Now let’s ask a more difficult question: Which piece of information you learned in the last six months has genuinely changed your behaviour?

This question may feel slightly uncomfortable. Because we are facing one of the greatest paradoxes of the information age. Never before in human history have we had such easy, fast and affordable access to information. Yet the distance between knowledge and behaviour has not disappeared.

Every day, we read, listen and watch. We attend webinars, save podcasts, complete courses, earn certificates, download reports and learn new methods. We feel as though we are learning. But are we really learning, or are we simply consuming more and more information?

One of the invisible problems of modern working life emerges precisely here. Our minds are exposed to far more information than we can apply. Just as the body can consume more energy than it can expend, the mind can consume more content than it can process, interpret and transform into behaviour.

In this article, we will examine this situation through the concept of information obesity. Information obesity is not an established clinical diagnosis in academic literature. However, it offers a powerful metaphor for explaining an important problem highlighted by research on information overload, cognitive load, the knowing–doing gap, learning transfer and experiential learning.

The problem is not information itself. The problem is that the amount of information exceeds our capacity to make sense of it and use it. More importantly, the issue is not only how much information we are exposed to; the real issue is how much of that information we can actually turn into behaviour.

What Is Information Obesity?

Information obesity is a concept used to describe the mental burden that occurs when the amount of information a person consumes exceeds their capacity to process, evaluate, remember and translate it into behaviour.

This situation may become particularly visible among professionals who are constantly exposed to new content. As new information accumulates, it may become unclear which information is genuinely important, which should be applied and which is no longer necessary. At some point, a person may begin to struggle not because of a lack of information, but because of an excess of it.

A person experiencing information obesity may:

• Feel a constant need to consume new content.
• Move on to new topics without applying what they have learned.
• Know a great deal but still not know where to begin.
• Notice that their saved content keeps accumulating.
• Feel as though they are falling behind when they are not consuming new information.
• Measure learning through content consumption rather than behaviour change.
• Constantly search for more information before making a decision.
• Learn many methods without applying any of them for long enough.

For this reason, information obesity does not simply mean “knowing too much.” It means information accumulating in the mind without being translated into action.

What Is Information Overload?

Information overload occurs when the amount of information a person encounters exceeds their capacity to evaluate it effectively and use it in decision-making. Eppler and Mengis’s study examining research on information overload across different disciplines shows that an imbalance between the amount of information and an individual’s processing capacity can have significant consequences for performance and decision-making.

Modern working life contains many sources that can increase information overload:

• Emails
• Instant messaging applications
• Meetings
• Reports
• Dashboards
• Industry newsletters
• Social media
• Podcasts
• Webinars
• Digital learning platforms
• Artificial intelligence tools
• Online conferences
• News feeds
• Internal knowledge systems
• Constantly updated work tools

None of these tools is a problem on its own. The real problem arises when information from all of these sources is treated as equally important and the person feels that they must constantly process new information.

Are Information Obesity and Information Overload the Same Thing?

Although information obesity and information overload are closely related concepts, they do not mean exactly the same thing. Information overload mainly describes the imbalance between the amount of information a person encounters and their mental processing capacity.

Information obesity, on the other hand, draws attention to the behavioural dimension of this situation. In other words, it raises not only the question “How much information am I consuming?” but also “How much of this information am I actually using?”

A person may encounter a large amount of information but manage the excess more effectively if they can select what is necessary, apply it and let go of the rest. In contrast, a person who constantly consumes new information but does not put any method into practice may experience the mental clutter created by information obesity more intensely.

What Are the Signs of Information Obesity?

Because information obesity is not a medical condition, it would not be accurate to speak of clinical symptoms. However, there may be certain behavioural patterns that indicate that a person’s relationship with information has become inefficient.

Constant Need to Consume New Content

A person may find it difficult to stop searching for a new book, course, podcast or method. When they finish one piece of content, they may immediately move on to the next instead of applying what they have learned. Over time, this may turn learning from a development process into a consumption habit.

Consuming new content can create a short-term sense of progress. However, when what has been learned is not applied, the amount of information in the mind may increase while behaviour remains unchanged.

Constant Accumulation of Saved Content

Phrases such as “I’ll read it later,” “I’ll watch it sometime” or “I definitely need to look at this” can gradually lead to hundreds of saved posts, articles, videos and courses. As the amount of saved content increases, the likelihood of actually consuming and applying it may decrease.

This accumulation can sometimes turn into a feeling of mental debt rather than a physical to-do list. A person may constantly feel behind because they have not managed to finish the content they saved.

Constantly Searching for New Information Before Making a Decision

More information does not always mean a better decision. At some point, further research may stop improving decision quality and instead become a way of postponing the decision.

A person may keep delaying the application stage by saying, “Let me research a little more,” “Let me watch one more course” or “Let me see what another expert thinks.” In this way, the search for information can begin to stand in the way of action.

Confusing Learning With Progress

Acquiring new information may give a person a short-term sense of progress. However, if the information does not turn into behaviour, real development may remain limited.

Finishing a book is valuable. But if nothing read in that book is reflected in behaviour, knowledge may increase while performance remains the same. Acquiring information is the beginning of progress; behaviour change is the evidence of progress.

Getting Stuck Between Too Many Methods

Learning five different systems for time management, eight different models for leadership, ten different applications for productivity and several different methods for feedback may initially look like strong preparation.

However, after a certain point, the number of information options may make it harder rather than easier for a person to act. This is because every method requires another decision. While trying to choose which method to apply, the person may fail to test any of them for long enough.

What Causes Information Obesity?

There is no single cause behind information obesity. Digital working habits, learning culture, personal habits and performance pressure may all contribute.

Information Has Become Much Easier to Access

The cost of accessing information has decreased dramatically. A book can be downloaded within seconds, specialist training can be watched from anywhere in the world, and hundreds of articles on a topic can be accessed within minutes.

Artificial intelligence tools are also making information-gathering processes that previously took hours much faster. This access is a major advantage. However, easier access to information also increases our responsibility to decide which information is genuinely valuable.

Pressure to Keep Learning

Continuous learning is becoming increasingly important in the modern business world. Technological transformation, artificial intelligence, new working models and changing skill requirements can make employees feel that they must constantly stay up to date.

This can sometimes turn into the thought, “If I am not learning something new, I am falling behind.” Learning can then move away from natural curiosity and become a constant source of performance pressure.

Mistaking Content Consumption for Development

Watching a course is a concrete activity. Earning a certificate is measurable, and finishing a book is a visible result. Behaviour change, however, is a slower, more complex and sometimes uncomfortable process.

For this reason, consuming information may feel psychologically easier than genuine behaviour change. A person may feel that they are progressing by consuming learning content while postponing the application stage where real development is required.

Not Making Time for Application

Our calendars may become filled with learning content. While we make time for webinars, courses, podcasts and conferences, we may not create the same space to apply what we have learned.

Yet knowledge needs experimentation, observation, feedback and repetition in order to become behaviour. When no time is allocated for this process, information continues to accumulate while behaviour change may remain limited.

The Paradox of the Information Age: We Know More, but Do We Do More?

For many years, corporate life has largely associated learning with acquiring information. More training, more books, more seminars, more certificates and more content have been accepted as natural indicators of development.

None of these is without value. On the contrary, being able to access new information is a significant advantage in a business world where continuous learning is becoming increasingly important. However, we overlook one critical distinction: Acquiring information and learning are not the same thing.

Reading about the importance of feedback in a leadership book does not mean that we can give effective feedback. Being able to define psychological safety does not mean that our team can genuinely speak openly around us. Taking active listening training does not mean that we listen without interrupting the person in front of us. Knowing every stage of a change-management model does not prove that we can mobilise people during a period of change.

Because the real test of learning is not whether information exists in memory, but whether it becomes visible in behaviour.

What Is the Difference Between Acquiring Information and Learning?

Acquiring information is the beginning of learning. Learning becomes more complete when knowledge is tested through experience and transformed into behaviour.

For this reason, the learning cycle should not simply be:

“Knowledge → Knowledge → More Knowledge.”

A stronger cycle is:

“Knowledge → Experience → Behaviour → Value.”

When knowledge does not become experience, it remains theoretical. When experience does not change behaviour, development remains limited. When behaviour does not create value, it becomes difficult to see the real impact of organisational learning.

Therefore, the strongest indicator of real learning is not being able to say, “I know this.” It is being able to say, “I do this differently now.”

What Is the Knowing–Doing Gap?

The Knowing–Doing Gap, highlighted in management literature by Jeffrey Pfeffer and Robert Sutton, describes the difficulty individuals and organisations experience when they know what should be done but struggle to turn that knowledge into action.

This distinction is particularly important in the context of information obesity. Because today, many professionals may not actually have a lack-of-information problem. The more difficult question is: “Why am I not doing it even though I know it?”

A manager may know that feedback is important for development. But can they listen without becoming defensive when entering a difficult conversation? A leader may be able to explain the importance of psychological safety. But when someone challenges them in a meeting, can they genuinely listen with curiosity?

A professional may know that focus is important. But when they open their computer, is their first instinct to start with the most important task rather than go straight to email?

The real test of learning begins where knowledge meets behaviour.

Why Does Knowing Sometimes Replace Doing?

Learning something new can create the feeling that we have already started changing. We read a leadership book and feel that we are progressing towards becoming better leaders. We take a time-management course and think that we will now become more productive. We learn about active listening in a communication seminar, but the next morning we may still interrupt someone during a meeting.

Knowing is often a safe space; applying involves uncertainty and the possibility of mistakes. Understanding a method theoretically may not expose us to criticism, but when we test it in a real situation, we face consequences, receive feedback and may need to change our approach.

Development begins precisely at this point. Acquiring information is the beginning of progress; behaviour change is the evidence of progress.

What Is an Implementation Intention?

One of the approaches that can be used to reduce the knowing–doing gap is implementation intentions. Developed by Peter Gollwitzer, the Implementation Intentions approach is based on linking a behaviour to a specific situation.

For example, “I will listen better in meetings” is a general intention. In contrast, “If I notice that I disagree with someone’s opinion during a meeting, I will ask one clarifying question before responding” is a more concrete implementation plan.

Similarly, instead of saying “I will focus better,” one might say, “When I open my computer in the morning, I will work on my priority report for 30 minutes before checking email.”

Information tells us what we should do. An implementation plan determines when and how that behaviour will take place.

For this reason, we can ask ourselves two questions whenever we encounter new information:

• What did I learn from this?
• What will I do differently as a result?

The second question shifts learning from consumption to application.

Training Is Not Enough: When Does Learning Become Behaviour?

In the corporate world, learning is often tracked through indicators that are easy to measure. The number of people who attended training, the number of training hours delivered, the number of modules completed or the number of certificates produced can all be measured regularly.

These data points are important, but on their own they do not answer a more fundamental question: What did people start doing differently after the training?

Completing a training programme does not mean that learning has been completed. The real value of learning emerges when acquired knowledge and skills are transferred into the working environment.

What Is Learning Transfer?

Transfer of Training, or the transfer of learning to the workplace, refers to the application of knowledge and skills acquired during training in the real working environment and their continued use over time.

Baldwin and Ford’s classic framework shows that this transfer does not depend solely on the quality of the training. Participant characteristics, training design, the working environment, managerial support, opportunities for application, feedback and the sustainability of the new behaviour all matter together.

For this reason, even well-designed training may fail to produce behaviour change in an organisational culture that does not support it.

How Does the Working Environment Affect Learning?

A manager may receive feedback training but choose not to use the method they learned if they believe that speaking openly is risky within the organisation. An employee may learn problem-solving techniques, but if every decision is expected to be made by senior management, they may not find an opportunity to test their new skill.

Similarly, a team may receive creativity training but avoid testing new ideas if mistakes are punished.

Learning is therefore not a process that takes place only in a person’s mind. It becomes behaviour to the extent that the environment allows it. Expecting employees to keep learning without creating an environment where they can apply what they have learned is therefore a significant contradiction.

Can Learning Be Complete Without Experience?

The experiential learning approach argues that learning consists of more than simply acquiring information. David Kolb’s Experiential Learning model considers having an experience, reflecting on that experience, creating meaning from it and trying again in new situations as parts of the learning process.

Reading about a concept may be the beginning of learning. But afterwards, it is necessary to experiment, observe the result, reflect on the experience, receive feedback, adjust the approach and try again.

In other words, knowledge is the raw material of learning; experience is the laboratory that turns it into behaviour.

Is Leadership Learned Through Knowledge or Experience?

Leadership development is one of the strongest examples of the difference between knowledge and experience. Many books about leadership can be read, courses can be attended and models can be learned. But leadership is not made up of theory alone.

It is necessary to have difficult conversations, take responsibility for decisions, genuinely listen to employees and delegate authority. Sometimes it is necessary to make the wrong decision, face its consequences, receive feedback and behave differently the next time.

Because knowing about leadership and demonstrating leadership behaviour are not the same thing.

How Can Organisations Move From Training Programmes to Learning Ecosystems?

One of the most important transformations in organisations’ approach to training and development may be to stop treating training as a one-off event.

At the end of a training programme, asking “What did participants learn?” is valuable. But questions such as “What will they apply?”, “Where and when will they test it?”, “Which behaviour do we expect to change?”, “Who will they receive feedback from?” and “How will their leaders support application?” should also be added.

It should also be planned what will be evaluated two weeks later and how the impact of the learned behaviour on business outcomes will be observed. At this point, training design, leadership and organisational culture stop being separate areas and a genuine learning ecosystem begins to emerge.

What Should Be the Success Measure of Corporate Learning?

The success measure of corporate learning should not simply be:

“Participation → Completion → Certificate.”

A more meaningful journey may be:

“Knowledge → Experience → Repetition → Behaviour → Value.”

Knowledge reaches the individual, experience tests that knowledge, repetition strengthens behaviour and behaviour creates value for the individual, the team or the organisation. Only at this point can we truly talk about the impact of learning.

For this reason, future corporate learning systems should evaluate not only participation in training but also the extent to which learning is reflected in the way work is actually done.

Who Is a Learning Leader?

A learning leader is not the person who reads the most books, attends the most courses or follows every new trend. A learning leader is someone who selects new information, experiments with what they have learned, observes the results, receives feedback and changes their approach when necessary.

At the same time, they do more than turn their own learning into behaviour; they also create an environment where their team can apply what they have learned.

For this reason, when an employee returns from training, the leader’s first question should not simply be, “How was the training?” A stronger question might be, “Which of the things you learned can we try together this week?”

What Is an Information Diet?

The solution to information obesity is not to stop learning. On the contrary, it is to make the way we learn more conscious.

Just as healthy eating does not simply mean eating less, a healthy information diet does not mean reading less or shutting ourselves off from the world. The real issue is selectivity.

What are we consuming? How much of it are we actually digesting? Which parts are we applying? Which parts are we letting go?

An information diet refers to consciously managing one’s relationship with new information.

How Is the One Insight–One Action Method Applied?

Imagine that you have just read a new book. You have underlined dozens of sentences, learned new concepts and photographed some pages. When you close the book, you genuinely feel enriched.

Now ask one simple question: “What will I do differently on Monday morning?”

If there is no answer to this question, the information you acquired may not yet have reached behaviour.

A simple rule can be applied at the end of every learning experience:

• Choose one insight.
• Define one behaviour.
• Apply it once.

Instead of trying to change 15 methods from a leadership book at the same time, try only one. Instead of extracting five ideas from a podcast, choose one behaviour. Instead of returning from a course with 20 pages of notes, identify one thing you will change in your work the next day.

The goal is not to reduce learning. It is to increase the likelihood that learning will reach behaviour.

Why Is Application Time Important?

In working life, we make time for training, add webinars to our calendars, devote days to conferences, read books and listen to podcasts on the way to work. But how much time do we have in our calendars to actually test what we have learned?

This may be one of the invisible causes of information obesity. While constantly creating space for new information, we do not allocate enough time to turn existing information into experience.

Yet application time is a critical part of learning. Planning a 30-minute practice session after training, writing a note after a book chapter asking “What will I try this week?” or testing a new method on a real work problem can help move information closer to behaviour.

Evaluating the results two weeks later, asking a manager for feedback and discussing the impact of learning on work during a team meeting can also strengthen this process.

Making time for learning without making time for application is like planting a seed without giving it any room to grow.

What Is an Information Fast?

An information fast is an approach in which a person temporarily pauses the consumption of new content in order to spend time evaluating and applying existing knowledge.

For example, one day a week can be spent without a new podcast, webinar, training programme, self-development video or search for a new method. The goal is not to move away from information but to create space for existing knowledge to settle in the mind.

During this period:

• You can read your old notes.
• You can try a method you learned earlier.
• You can observe one of your behaviours.
• You can clean up your saved content.
• You can think deeply about one idea.
• You can return to an application you previously left unfinished.

Asking yourself, “Which of all the things I have learned have I genuinely brought into my life?” can sometimes be more educational than reading another book.

Can Information Obesity Be Prevented Without Reducing Information Consumption?

The goal does not necessarily have to be consuming less information. Consuming information more selectively is often more important.

To build a healthier relationship with information, the number of topics being learned at the same time can be limited, a clear purpose can be defined for every new piece of content and saved content can be cleaned up regularly. Reducing the “Maybe I’ll need this one day” approach and consciously letting go of information that will not be applied may reduce mental load.

Returning to existing notes before searching for a new source, leaving time between new learning and application and connecting learning goals with real work problems can also strengthen an information diet.

The purpose of an information diet is not to reduce curiosity. It is to turn curiosity into a more meaningful learning process.

A Learning Organisation or an Information-Consuming Organisation?

Today’s organisations are investing in learning more than ever before. Digital learning platforms, online courses, leadership programmes, webinars, certificates, conferences, podcasts and internal academies are expanding employees’ access to information.

But does having more learning content really mean that we are becoming a more learning-oriented organisation?

The answer may not always be yes. Because providing learning opportunities and creating a learning culture are not the same thing.

What Does an Information-Consuming Organisation Look Like?

In an information-consuming organisation, the number of courses may continue to increase, participation rates may become the main success indicator, and completed modules and certificate numbers may be closely tracked.

Although employees are constantly provided with new content, behaviour change may not be monitored sufficiently. There may be no time allocated for application, and the organisation may move on to new training before evaluating how new skills affect business outcomes.

In this situation, the organisation may have a great deal of learning content while the transfer of learning into behaviour remains limited.

What Does a Learning Organisation Look Like?

A learning organisation does not simply provide information; it creates a system in which information can be applied.

It allows employees to test new skills, supports learning from mistakes and creates space for feedback. It enables employees to use what they have learned in real projects, tracks behaviour change and evaluates the impact of new skills on business outcomes.

It also makes leaders part of the learning process.

For this reason, evaluating future learning organisations only through training hours per employee may become increasingly insufficient. Questions such as “What changed?”, “What has started to be applied?”, “Which problem is now being solved differently?”, “Which leadership behaviour has improved?” and “Which new skill has turned into a business outcome?” become more meaningful.

Does Continuous Learning Mean Constant Content Consumption?

No. Continuous learning and constant content consumption are not the same thing.

The World Economic Forum’s Future of Jobs Report 2025 also highlights the increasing importance of skills in a changing business world and the need for employees to reskill and develop their existing capabilities.

This may make investment in learning increasingly necessary for organisations. However, constantly exposing employees to new content alone does not create a learning culture.

A skill does not emerge through information alone. It develops through application, becomes stronger through repetition, is shaped by feedback and becomes lasting through experience.

What Is the Role of Leaders in Learning Transfer?

Learning transfer is not only the responsibility of human resources or learning teams. The employee’s daily working environment is largely shaped by their leader.

When an employee learns a new method and returns to their desk, is there space to test it? When they suggest a new idea, are they listened to? When they make a mistake, does it create an opportunity for learning, or do they learn that they should never take that kind of risk again? Are they given enough authority to use their new skill?

It is also important for the leader to discuss what the employee learned after training. Each of these factors can affect learning transfer.

Future leaders may therefore be expected to manage not only performance but also the transfer of learning into behaviour.

How Can Leaders Reduce Information Obesity?

Information obesity is not only an individual problem. The way organisations work and learn can also increase information load.

Leaders can:

• Conduct a needs analysis instead of launching new training for every trend.
• Clarify the application objective of training.
• Give employees time to test the skills they have learned.
• Avoid assigning too many development goals at the same time.
• Give as much importance to experience and feedback as to new information.
• Hold follow-up discussions after training.
• Ask “What did you change?” as well as “What did you learn?”
• Make genuine behaviour change visible instead of focusing only on information consumption.

A learning leader is not simply someone who sends employees to training. They are someone who creates the conditions in which learning can become behaviour.

Will Information Obesity Increase in the Age of Artificial Intelligence?

Artificial intelligence is significantly increasing both access to information and the speed at which information can be processed. While this presents a major opportunity in many respects, faster information production also increases the need for selection and evaluation.

In the past, it might have been difficult to find enough information on a subject. Today, the real challenge is often answering questions such as “Which information really matters?”, “Which information should I trust?”, “Which information should I apply?” and “Which information should I ignore?”

In the age of artificial intelligence, competitive advantage may no longer come simply from being able to access information. The ability to select, question, experiment with and translate information into behaviour may become increasingly important.

As information becomes more accessible, the human ability to choose becomes more valuable.

What Can Be Done to Protect Against Information Obesity?

The following methods can be used to manage information obesity in a healthier way:

• Reduce the number of topics you are learning at the same time.
• Define your learning objective in advance.
• Extract one practical application from each piece of content.
• Regularly clean up saved content.
• Return to your old notes before searching for new sources.
• Make time for application as well as learning.
• Test a method for long enough before changing it.
• Ask yourself, “Do I really need more information?”
• Take periodic breaks from information consumption.
• Evaluate learning through behaviour.
• Allow yourself to let go of information that does not create value in your work or life.

The goal is not to learn less. It is to learn more meaningfully.

Let’s Reflect Together

Perhaps while reading this article, you thought of a few books, unfinished courses, saved podcasts or pieces of content that you have been saying you will “definitely look at someday.” None of these is a problem on its own. The problem begins when learning unconsciously becomes a consumption habit.

Before moving on to another piece of content, take a few minutes and ask yourself:

• Which piece of information I learned in the last month genuinely changed my behaviour?
• Am I constantly learning new things, or am I also giving myself time to apply what I learn?
• What is the most important thing I know but still do not do?
• Instead of taking a new course, which single idea I have already learned could I apply this week?
• How much time do I leave between finishing a book and applying what I learned from it?
• Do I really need new information, or am I postponing action?
• As a leader, am I focusing on my team’s training hours or on behaviour change?
• Do our employees have enough psychological safety to test what they have learned?
• Which piece of information accumulating in my mind can I let go of?
• Instead of learning something new today, which thing I already know can I finally put into practice?

Sometimes the next step in development is not new information. It is finally starting to do something we already know.

Conclusion: Not Accumulating Information, but Turning It Into Transformation

Never before in human history have we had access to information as quickly as we do today. The answer to a question can be in front of us within seconds, a book can be downloaded in moments, we can attend training delivered by an expert on the other side of the world from our desks, and with artificial intelligence, information searches that might once have taken hours can be completed in much less time.

Information is becoming increasingly accessible. Yet precisely because of this, a new leadership and learning responsibility is emerging: managing the difference between accessing information and being able to use it.

More information does not automatically mean more learning. More learning does not automatically create behaviour change. The true value of information emerges when it changes the way a person thinks, makes decisions and behaves.

For this reason, the answer to information obesity is not to distance ourselves from information. It is to build a more conscious relationship with information; to choose what we genuinely need to learn instead of trying to learn everything, to experience and apply what we learn rather than consuming it and moving immediately to the next piece of content, to observe the results, receive feedback and relearn when necessary by changing our approach.

At this point, learning stops being an act of consumption and becomes a process of transformation.

This perspective also changes leadership. The role of the leader of the future will not be to constantly feed employees with new information. Their real responsibility will be to create working environments where people can access the right information, question it, test it and transform it into behaviour.

Because a learning organisation is not the organisation that provides the most training. It is the organisation that produces the greatest amount of new behaviour from what it learns.

We can describe the three fundamental movements of learning leadership as follows:

• Believe that you can change.
• Create space in your mind so that you can learn.
• Turn what you learn into behaviour.

Perhaps what will distinguish the leaders of the future will not be how much they know. It will be what they do with what they know.

As information becomes increasingly accessible in the age of artificial intelligence, curiosity, choosing, questioning, experimenting, making mistakes, receiving feedback, relearning and changing behaviour will remain highly valuable human abilities.

Perhaps we also need to change the way we measure learning success. Instead of asking “How many books have I read?”, “How many courses have I completed?” or “How many certificates do I have?”, we can ask a more meaningful question:

“How has what I learned changed me?”

Because when information remains in our minds, it is accumulation. When it becomes part of our behaviour, it is development. When it begins creating value for others, it becomes transformation.

And if only one sentence remains from this article, let it be this:

Accumulating information fills the mind; applying information transforms the person.

Listen to the Improve Your Working Life Podcast

To explore this topic in greater depth, you can listen to our podcast episode, “The Silent Epidemic of the Modern World: Information Obesity.” The episode examines the impact of information overload on mental performance, the knowing–doing gap, the transfer of learned information into behaviour, the information diet and ways to turn consumed information into genuine development from a broader perspective.

Organisations that want to strengthen employee experience not only through training processes but also through holistic practices that support physical and psychological well-being can explore Happ Health’s Corporate Health Solutions.

References

• Baldwin, T. T., & Ford, J. K. (1988). Transfer of Training: A Review and Directions for Future Research. Personnel Psychology, 41(1), 63–105.
• Eppler, M. J., & Mengis, J. (2004). The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines. The Information Society, 20(5), 325–344.
• Gollwitzer, P. M. (1999). Implementation Intentions: Strong Effects of Simple Plans. American Psychologist, 54(7), 493–503.
• Kolb, D. A. (1984). Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall.
• Pfeffer, J., & Sutton, R. I. (2000). The Knowing-Doing Gap: How Smart Companies Turn Knowledge Into Action. Harvard Business School Press.
• Sweller, J. (1988). Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science, 12(2), 257–285.
• World Economic Forum. (2025). The Future of Jobs Report 2025.