There are questions we do not ask out of curiosity. We ask them because we are worried.
“Will AI replace my job?” is one of those questions.
Somewhere, an accountant may be sitting in front of a computer, wondering whether their work will still look the same ten years from now. An office worker may be asking whether years of experience and knowledge will still matter. A young person may be wondering which career to pursue if machines can already write articles, create images, develop software and perform more and more tasks that once seemed uniquely human.
These questions are understandable. Because something is changing. Not in some distant future. Not in a science fiction movie. But here and now.
Companies are investing billions in artificial intelligence. New systems are already performing tasks that once required human effort. In offices, customer service departments, marketing, administration and even creative professions, work is changing in noticeable ways.
And suddenly millions of people are asking the same question:
What does all of this mean for me?
The honest answer is simple:
We do not know exactly. But we know enough to take this development seriously. International organizations, businesses and researchers largely agree on one thing: artificial intelligence will change the world of work.[1][2][3]
The debate is no longer about whether it will happen. The debate is about how, when and who will ultimately benefit and who may struggle. Perhaps that is why this topic resonates with so many people.
Because behind the question about our jobs lies a much bigger question:
Will I still be needed in this future?
AI Does Not Replace Jobs First. It Replaces Tasks.
One important point is often overlooked in the public debate. Artificial intelligence usually does not replace entire professions first. It replaces or changes individual tasks. That may sound like a small distinction. In reality, it is a profound one. A profession rarely consists of a single activity. An accountant does more than process numbers. A lawyer does more than draft documents. A software developer does more than write code.
Almost every profession contains routine tasks. Summarizing information. Sorting data. Writing standard responses. Preparing documents. Creating reports. Drafting simple concepts.
This is where AI enters first. Not always perfectly. Not always reliably. And not always without human supervision. But often quickly enough, cheaply enough and well enough to become attractive to businesses. The question therefore is not simply:
“Will my profession disappear?”
The more precise question is:
“Which parts of my work can be performed by AI?”
If software takes over ten percent of someone’s work, it may simply make that person more productive.
If it takes over thirty percent, the profession begins to change.
If it takes over fifty or seventy percent, the job itself may eventually become negotiable.
And that is the point at which many people become uneasy. Not because they are against technology. But because something that once seemed secure is suddenly being reassessed.
Experience. Expertise. Routine. Speed. Even creativity.
All of these qualities remain important. But they are no longer automatically beyond the reach of machines. Perhaps that is the real change. Not that AI will replace everyone tomorrow. But that it is beginning to break work into individual pieces. And suddenly everyone starts asking:
Which part of this is still me?
What We Know and What We Do Not
When it comes to artificial intelligence, honesty matters. Because there are things we already know. And there are things we simply do not know yet.
We know that companies around the world are investing billions in AI.
We know that tasks in administration, customer service, marketing, translation, software development and many other fields are already being automated.
We know that organizations such as the International Monetary Fund, the OECD and the International Labour Organization believe that a significant share of the workforce will be affected by AI.[1][2][3]
We also know that many people are worried.
Not at some point in the future. But right now. What we do not know is how quickly this transformation will unfold. We do not know which new professions will emerge. We do not know whether new jobs will appear in the same places where old ones disappear. And we do not know whether everyone will have the same opportunity to adapt.
Perhaps this is where the greatest uncertainty lies. The future cannot be calculated like a mathematical equation. It will depend on political decisions.
On businesses. On education. On economic crises. On energy costs. On technological breakthroughs.
And, perhaps most importantly, on how we as a society respond to these changes.
That is why we should be cautious whenever someone claims to know exactly what the world of work will look like in 2035 or 2040. No one can say that with certainty. But we should be equally cautious about pretending that there is no reason to take these questions seriously. Because the transformation has already begun.
And perhaps the most honest answer to the question of whether AI will replace jobs is this:
We do not know the exact scale of what is coming. But we have seen enough to know that we should take it very seriously.
What Really Drives Companies
When people talk about artificial intelligence, one sentence often comes up:
“Technology will help people.”
That may well be true. But it is only part of the story. Companies are not investing billions in new technologies because they want to appear modern or because they are fascinated by science fiction. They invest because they expect benefits.
Higher productivity. Faster processes. Fewer mistakes. Better analysis. Greater competitiveness. And, quite often, lower costs.
There is nothing inherently wrong with that. Businesses have always tried to become more efficient.
First, smartphones moved our attention into our pockets. Then platforms reorganized how we communicate, shop, work and form opinions. And now artificial intelligence is beginning to reorganize work itself. And now artificial intelligence is doing the same. It would therefore be naive to assume that companies will ignore a technology that offers significant economic advantages simply to preserve every existing job exactly as it is today. This does not mean that businesses are eager to lay people off.
But it does mean that every task that can be done faster, cheaper or more efficiently will eventually come under review. This is why many workers view AI with mixed feelings. They are told that artificial intelligence will make their jobs easier. At the same time, they read about hiring freezes, efficiency programs and automation strategies. That creates uncertainty.
Because people ask themselves a simple question:
If a machine can perform more and more of my work, how secure is my job really?
Perhaps this is the heart of the entire debate.
Researchers calculate probabilities. Companies calculate costs. And people suddenly find themselves calculating whether they will still be needed tomorrow.
Which Jobs Are Most at Risk?
If we look more closely, a pattern begins to emerge. The jobs most exposed to artificial intelligence tend to involve processing, organizing, reviewing or summarizing information and turning it into standardized outputs. That may sound rather technical. But it describes a large part of modern work.
In offices, people answer emails, write reports, review spreadsheets, coordinate schedules, prepare documents and process requests.
In customer service, they sort inquiries, handle complaints, provide standard responses and forward cases.
In marketing, they create texts, concepts, advertisements, images and campaign ideas.
In accounting, they review invoices, reconcile figures, process transactions and prepare reports.
In software development, they write, test and explain code.
In legal and administrative work, they search documents, compare cases and adapt templates.
These are precisely the kinds of tasks where AI can already provide assistance. Sometimes it acts merely as a tool. Sometimes it speeds up existing work. And sometimes it replaces part of what humans used to do.
This is why office and administrative jobs, customer service, routine analysis, translation, content creation, standard design, legal research, human resources and parts of software development are considered particularly exposed to AI.[2][3][6]
This does not mean that all of these professions will disappear. But it does mean that they are beginning to change. And not someday in the future.
Right now.
Ironically, this transformation is affecting many people who long believed their jobs were secure simply because they worked at desks rather than on factory floors. In the past, automation made people think of robots in factories.
Today, we also need to think about text generators, chatbots, analytical tools, image generators and coding assistants. The new automation does not always wear a hard hat and stand behind a safety barrier.
Sometimes it is simply another window on a computer screen. And it is changing work in places where many people never expected it to:
right in the middle of the office.
People’s Concerns Are Real
Perhaps this is the most important sentence in this entire article:
People’s concerns are not irrational.
They are not the result of a fear of technology.
They arise because people can see what is happening around them.
They read about companies investing billions in artificial intelligence.
They see systems writing texts, generating images and performing tasks that were once considered uniquely human.
They notice colleagues using AI tools and discover that certain tasks suddenly require far less time than before.
And then they ask themselves a perfectly natural question:
What does this mean for me?
For some people, it is about their job. For others, it is about their children. And for many, it is about whether a lifetime of experience and expertise will still have the same value in the future. These concerns should not be dismissed. Because work is about much more than earning a living.
Work gives structure to our days. It creates social connections. It gives people the feeling that they are needed. For many, it provides recognition, self confidence and a sense of belonging. When people fear losing their jobs, they often fear much more than a loss of income.
They fear losing security. Losing direction. Losing meaning.
Perhaps that is why the debate about artificial intelligence is often so emotional. At its core, it is not really about software. It is about the place human beings will have in a world where machines can do more and more.
And that is not a technical question.
It is a profoundly human one.
The Future Will Not Look the Same for Everyone
Perhaps one of the biggest misconceptions in this entire debate is the idea that there will be one single future of work.
There will not. The reality is likely to be far more complicated. For some people, artificial intelligence will become a powerful tool. They will become more productive, create more value and perhaps even work in professions that do not yet exist. Others will see their jobs change gradually.
Some tasks will disappear. New ones will emerge. Their work will look different ten years from now than it does today.
And others may find themselves under considerable pressure. Not because they did something wrong. Not because they were not willing to work hard. But because the economic and technological landscape around them has changed. History teaches us that every major technological transformation creates winners and losers.
The steam engine did. Industrialization did. The computer did. And artificial intelligence will probably be no different. The difference this time may be that it is not only physical labor that is being transformed. This time, parts of intellectual and knowledge based work are being reshaped as well.
People who spent years studying, training and building expertise are suddenly asking questions they never expected to ask.
Am I still on the right path? Will my profession still exist twenty years from now? Should my children follow the same career?
Perhaps we need to let go of the idea that the future will look the same for everyone. The truth may be more uncomfortable. For some, the AI revolution will open new opportunities. For others, it will bring uncertainty. And for many, it will probably be both at the same time. The key question is therefore not simply:
Which jobs will disappear?
Perhaps the more important question is:
How do we make sure that as many people as possible still have a place in this new world?
What Can We Do as a Society?
Perhaps this is the most important question of all. Because if we only talk about which professions may disappear, we leave people with a sense of fear and helplessness. The future is not something that simply happens to us. We will shape it. Through political decisions. Through education. Through business. And through the way we treat one another.
One of the great challenges will be education and retraining. Many people will need to acquire new skills in the years ahead. Some will adapt their professions. Others may have to start over entirely. That sounds easier on paper than it often is in real life. There is a difference between a twenty year old learning something new and a fifty five year old suddenly wondering how the rest of their working life will unfold.
That is why retraining alone will not solve every problem. Our education systems will also need to evolve. If nobody knows exactly which professions will still exist in twenty years, then simply teaching facts will no longer be enough.
Adaptability. Creativity. Critical thinking. Social skills. The ability to deal with change.
These qualities may become increasingly important. And eventually we arrive at an even bigger question: If artificial intelligence and automation dramatically increase productivity, who benefits?
Only companies? Only the owners of the technology? Or society as a whole? This may become one of the defining debates of the coming decades. Because every major technological revolution eventually raises the same question:
How do we share the benefits of progress?
But perhaps there is an even more important task. We must make sure that people continue to feel needed. Because work means much more than income.
It means responsibility. It means community. It means recognition. And for many people, it provides a sense of purpose and belonging. The future of work will therefore not be decided by algorithms alone.
It will also depend on the decisions we make as societies and on the value we continue to place on human beings in an increasingly automated world.
What Remains of Us?
Perhaps this is the biggest question of all. Because the debate about artificial intelligence is not only about jobs, professions or the economy. It is about us. About the role of human beings in a world where machines are capable of performing more and more tasks. For centuries, we have defined a large part of our lives through work.
One of the first questions we often ask someone is:
“What do you do for a living?”
Behind this seemingly simple question lies much more. It asks about our place in society. About our experience. About our abilities. About a part of our identity.
What happens when more and more of the tasks we once took pride in can suddenly be performed by machines? Perhaps this transformation will force us to think about ourselves in new ways. What gives a human being value? Productivity alone? Efficiency alone? The ability to perform certain tasks faster or more cheaply than someone else? Or is there something within us that cannot be measured in spreadsheets, algorithms and cost calculations?
Empathy. Compassion. Responsibility. Creativity. Life experience. The ability to comfort another person. The ability to build trust. The ability to make someone feel that they are not alone.
Perhaps this is the real challenge of the years ahead. Not simply to build ever more powerful machines. But to remember what makes us human.
Artificial intelligence will change the world. Very few people still doubt that. But perhaps the most important question is not:
“What will machines be able to do?”
The more important question may be:
“What kind of society do we want to become once they can do it?”
The future of work is therefore not only an economic or technological debate. It is also a deeply human one. Perhaps this is the point at which the conversation needs to become completely honest.
AI will not merely change work. It will also change the way we think about human value when more and more tasks become automated. That is why it is not enough to ask what machines can do. We must also ask what people need.
Security. Recognition. Education. Fairness. A place.
And the feeling that, in a rapidly changing future, they are not simply being left behind. Artificial intelligence may be able to do many things. But the responsibility for what we do with it will remain ours. And perhaps the answer to the question of what remains of us will ultimately depend on whether we have the courage to remember that the value of a human being is greater than the sum of their tasks.
A Final Thought
A final thought remains.
Perhaps the question “Will AI replace our jobs?” is not ultimately only about technology. Perhaps it is about whether we can ensure that, in a world of increasingly capable machines, every person still has a place, a purpose and the feeling that they matter.
Because in the end, the value of a human being is greater than the sum of their tasks.
Sources and Further Reading
[1] International Monetary Fund: AI Will Transform the Global Economy. Let’s Make Sure It Benefits Humanity. 14. Januar 2024. https://www.imf.org/en/blogs/articles/2024/01/14/ai-will-transform-the-global-economy-lets-make-sure-it-benefits-humanity
[2] International Labour Organization: Generative AI and Jobs. A Refined Global Index of Occupational Exposure. 20. Mai 2025. https://www.ilo.org/publications/generative-ai-and-jobs-refined-global-index-occupational-exposure
[3] OECD: Who will be the workers most affected by AI? A closer look at the impact of AI on women, low skilled workers and other groups. 2024. https://www.oecd.org/en/publications/who-will-be-the-workers-most-affected-by-ai_14dc6f89-en.html
[4] World Economic Forum: The Future of Jobs Report 2025. 7. Januar 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/
[5] Pew Research Center: U.S. Workers Are More Worried Than Hopeful About Future AI Use in the Workplace. 25. Februar 2025. https://www.pewresearch.org/social-trends/2025/02/25/u-s-workers-are-more-worried-than-hopeful-about-future-ai-use-in-the-workplace/
[6] McKinsey Global Institute: Generative AI and the future of work in America. 2023. https://www.mckinsey.com/mgi/our-research/generative-ai-and-the-future-of-work-in-america
[7] Goldman Sachs Research: How Will AI Affect the US Labor Market? 18. März 2026. https://www.goldmansachs.com/insights/articles/how-will-ai-affect-the-us-labor-market
[8] Reuters: IBM to pause hiring in plan to replace 7,800 jobs with AI. 1. Mai 2023. https://www.reuters.com/technology/ibm-pause-hiring-plans-replace-7800-jobs-with-ai-bloomberg-news-2023-05-01/
[9] Klarna: Klarna AI assistant handles two-thirds of customer service chats in its first month. 27. Februar 2024. https://www.klarna.com/international/press/klarna-ai-assistant-handles-two-thirds-of-customer-service-chats-in-its-first-month/
Featured image created with ChatGPT, based on an original prompt by the author.
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