For decades, technological progress primarily meant higher productivity. Machines replaced people in the hardest or most monotonous tasks, but at the same time they created new professions. The Industrial Revolution eliminated many traditional occupations, yet it also brought millions of new jobs. The same was true of computers and the internet. This time, however, the question is whether artificial intelligence is changing that pattern.
Generative AI affects not only manual and repetitive work, but also middle-class professions: programmers, translators, graphic designers, analysts, accountants, lawyers, marketers and administrative staff. In many cases, one specialist supported by algorithms can now perform work that previously required a team of several people. This does not necessarily mean the end of work, but it may mean the end of the employment model we have known so far.
Automation Is Reaching the Middle Class for the First Time
Until now, the greatest threat from automation was associated with factories, warehouses and basic services. Industrial robots, self-checkout systems and logistics software replaced people where work was repetitive, easy to define and could be structured into a sequence of procedures. Artificial intelligence, however, has gone further.
Today, tasks involving text analysis, report writing, customer service, design, translation, programming, presentation preparation and preliminary legal analysis are being automated. Until recently, these fields were seen as relatively safe because they required education, specialist knowledge and intellectual work.
This does not mean that doctors, lawyers, translators or analysts will disappear. What is more likely is that the balance between people and tools will change. Humans will supervise, interpret, correct and take responsibility, but the production of content, code, analyses and documents may be completed much faster than before.
Not the End of Work, but a Change in Its Meaning
Economic history shows that technology also creates new occupations. The problem is that new jobs do not always emerge where old ones disappear. A farmer did not automatically become a programmer, just as a supermarket cashier will not immediately become a data engineer.
The greatest risk may therefore not be sudden mass unemployment, but a long transition period. Some workers will need to retrain continuously, some will work fewer hours, some will move into care, education, creative and relationship-based professions, while others may remain outside the labour market for longer.
This is why the debate around AI is increasingly moving beyond technology itself. The issue is no longer only whether companies will become more efficient. It is also about how to distribute the benefits of higher productivity and how to protect people whose work becomes less necessary or less well paid.
Universal Basic Income: A Future Idea or a Necessity?
One possible response to this challenge is universal basic income. It assumes that every citizen would receive a regular payment regardless of whether they work, how much they earn or what their employment situation is. In theory, it would provide a minimum level of security in a world where employment is becoming less stable.
Supporters of the idea argue that if artificial intelligence and automation generate enormous wealth, part of those gains should reach society as a whole. A basic income could reduce fear of job loss, give people time to develop new skills, make it easier to care for children or elderly relatives, and reduce the pressure to accept any job purely for financial reasons.
Critics, however, argue that such a system would be extremely costly. Governments would need to find permanent sources of funding, most likely through higher taxes, taxation of capital, data, automation or the profits of the largest technology companies. There is also the question of whether a universal benefit could weaken motivation to work or contribute to rising prices for essential services.
A Shorter Working Week as Another Response to AI
Basic income is not the only possible answer. More and more often, attention is also turning to shorter working hours. If technology allows the same amount of goods and services to be produced more quickly, the natural question is not only who will profit from that productivity, but also whether people should continue working as many hours as before.
A shorter working week could be a way of distributing the gains from automation more fairly. Instead of a situation in which some people work excessively while others are pushed out of the labour market, work could be shared more broadly. A four-day working week or a gradual reduction in standard working hours could reduce stress, burnout and sickness absence, while keeping more people economically active.
This approach also has a social dimension. More free time means more space for family, education, care, rest and local engagement. In a world where AI takes over some tasks, people could regain time rather than simply competing with machines on productivity.
The Four-Day Week Is Not a Simple Experiment
Reducing working time is not a universal solution. It may be easier to introduce in technology companies, professional services or public administration, and more difficult in healthcare, education, manufacturing, retail, transport and care services. In those sectors, a shorter working week would require more employees, better shift organisation or higher costs for employers.
There is also the question of pay. If an employee were to work fewer hours for the same salary, the company would need to offset this through higher productivity. In some industries, this may be possible through automation, better processes and fewer unnecessary meetings. In others, it could mean higher costs and higher prices.
For this reason, a gradual model may be more realistic: pilot programmes, flexible working-time standards, shorter weeks in selected sectors, additional days off or linking reduced hours to higher efficiency. The goal is not one law for everyone, but finding a new balance between work, productivity and quality of life.
Basic Income or Shorter Working Hours?
In practice, these two solutions do not have to exclude each other. Universal basic income mainly addresses the question of how to provide people with financial security when work is unstable or unavailable. A shorter working week addresses the question of how to distribute work and time in a society where technology increases productivity.
A mixed model is therefore possible. Part of society continues to work, but works less. Some people receive support during periods of retraining. Others benefit from public education, healthcare and care services that reduce dependence on wages alone. In this model, the future is not about the state paying people to remain inactive, but about society organising work, income and security in a different way.
The Greatest Challenge May Be Psychological
For most people, work means more than a source of income. It provides a sense of purpose, belonging and social recognition. Losing these functions could lead to mental health problems, loneliness and growing social tensions.
This is why basic income alone does not solve the whole problem. Even if it provides a financial minimum, it cannot replace social relationships, a sense of agency or the feeling of being needed. A shorter working week may be a gentler solution in this respect because it does not remove people from the labour market, but changes the balance between work and life.
Paradoxically, the future may therefore require not only new benefits, but also a new definition of activity. Paid work, caring for loved ones, learning, creative work, volunteering and civic engagement may become equally important forms of participation in social life.
Education Matters More Than Transfers
The greatest challenge for governments may not be financing basic income or legislating shorter working hours, but preparing people to function in an economy that is changing faster than ever before. Lifelong learning, easier retraining and the development of digital skills will be crucial.
The worker of the future will not compete with AI in carrying out repetitive tasks. They will need to know how to use tools, ask the right questions, assess results, understand context and take responsibility for decisions. Skills that machines may not be able to replace effectively for a long time could become increasingly valuable: empathy, creativity, communication, negotiation, responsibility and ethical thinking.
A New Social Contract
The debate about AI is not simply about whether machines will take people’s jobs. The more important question is how to organise society if work stops being the only way to obtain income, status and a sense of purpose.
Universal basic income, a shorter working week, widespread retraining, stronger public services and new ways of taxing the digital economy are all part of the same discussion. Each of these solutions has advantages and limitations. None is a perfect answer to every problem.
The most likely future is not a world without work, but a world of different work. There may be fewer mechanical tasks, more supervision of technology, more relationship-based work and a greater need for flexibility. The question is whether the benefits of this transformation will be concentrated in the hands of a few or become the foundation of a more humane economic model.
Artificial intelligence may turn out not to be the end of work, but the beginning of the biggest debate about time, income and the meaning of life since the Industrial Revolution.
