For decades, technological progress has primarily meant higher productivity. Machines replaced people in the heaviest and most repetitive tasks, while also creating entirely new professions. The Industrial Revolution eliminated many traditional occupations, but it also generated millions of new jobs. The same was true of computers and the internet. This time, however, the question is whether artificial intelligence may be changing that pattern.
Generative AI is affecting not only manual and repetitive work, but also middle-class professions: software developers, translators, graphic designers, analysts, accountants, lawyers, marketers and administrative staff. In many cases, a single 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 until now.
Automation Reaches the Middle Class for the First Time
Until recently, the greatest automation risk was associated with factories, warehouses and basic services. Industrial robots, self-checkout systems and logistics platforms replaced people where tasks were repetitive, easy to define and possible to organise into a sequence of procedures. Artificial intelligence, however, has gone further.
Today, automation is increasingly applied to tasks involving text analysis, report writing, customer service, design, translation, programming, presentation preparation and preliminary legal analysis. These are areas that were considered relatively safe only a few years ago because they required education, specialised 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, while the production of content, code, analyses and documents may be carried out much faster than before.
Not the End of Work, but a Change in Its Meaning
Economic history shows that technology also creates new professions. The problem, however, is that new jobs do not always emerge in the same places where old ones disappear. A farmer did not automatically become a software developer, just as a supermarket cashier cannot immediately become a data engineer.
The greatest risk, therefore, may not be sudden mass unemployment, but a prolonged transition period. Some workers will need to retrain continuously. Others may work fewer hours. Some may move into care, education, creative or relationship-based professions, while others may remain outside the labour market for longer periods.
This is why the debate on AI is increasingly extending beyond technology itself. The issue is no longer simply whether companies will become more efficient. It is about how to distribute the gains from 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 response to this challenge is universal basic income. The idea is 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 argue that if artificial intelligence and automation generate enormous wealth, part of those gains should benefit society as a whole. A basic income could reduce fear of job loss, give people time to acquire new skills, make it easier to care for children or elderly relatives, and reduce the pressure to accept any job solely for financial reasons.
Critics, however, point out that such a system would be extremely costly. Governments would need to find durable sources of funding, probably through higher taxes, taxes on capital, data, automation or the profits of the largest technology companies. There is also the question of whether a universal benefit would weaken incentives to work or contribute to rising prices for essential services.
A Shorter Working Week as Another Response to AI
Universal basic income is not the only possible answer. There is also growing discussion about reducing working time. If technology allows the same amount of goods and services to be produced more quickly, the natural question is not only who benefits financially from that productivity, but also whether people should continue to work the same number of hours as before.
A shorter working week could be a way of sharing the benefits of 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 distributed more broadly. A four-day working week or a gradual reduction in standard working hours could reduce stress, burnout and sickness-related absences while keeping more people economically active.
This approach also has a social dimension. More free time means more space for family, education, caregiving, rest and involvement in local communities. In a world where AI takes over part of the workload, people could regain time rather than merely competing with machines for greater efficiency.
The Four-Day Week Is Not a Simple Experiment
Reducing working time is not a universal solution. It is 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 could require more staff, better shift organisation or higher costs for employers.
There is also the issue of pay. If employees work fewer hours while keeping the same salary, businesses must compensate through higher productivity. In some industries, that may be possible through automation, improved processes and fewer unnecessary meetings. In others, it could mean higher costs and higher prices.
A more realistic model may therefore be gradual implementation: pilot programmes, flexible working-time rules, shorter weeks in selected sectors, additional days off or linking reduced hours to productivity gains. The goal is not a single law applied to everyone, but the search for a new balance between work, productivity and quality of life.
Basic Income or Shorter Working Hours?
In practice, these two approaches do not have to be mutually exclusive. Universal basic income mainly addresses the question of how to provide financial security when work is unstable or unavailable. A shorter working week addresses how to distribute work and time in a society where technology is increasing productivity.
A mixed model is therefore possible. Some people may continue to work, but for fewer hours. Others may receive support during periods of retraining. Many could benefit from public education, healthcare and care services that reduce dependence on wages alone. In this view, the future is not about the state paying people to remain inactive, but about society organising work, income and security differently.
The Biggest 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 those functions could lead to mental health problems, isolation and growing social tensions.
That is why universal basic income alone would not solve the entire problem. Even if it guarantees a minimum level of financial security, 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 require not only new benefits, but also a new definition of activity. Paid employment, caring for loved ones, education, creativity, volunteering and civic engagement may become equally important forms of participation in social life.
Education May Matter More Than Transfers
The biggest challenge for governments may not be financing a basic income or legislating shorter working hours. It may be preparing people to function in an economy that is changing faster than ever before. Lifelong learning, easier retraining and stronger digital skills will be crucial.
The worker of the future will not compete with AI in performing repetitive tasks. They will need to know how to use tools, ask the right questions, evaluate results, understand context and take responsibility for decisions. Skills that machines may struggle to replace for a long time could become increasingly valuable: empathy, creativity, communication, negotiation, accountability and ethical judgement.
A New Social Contract
The debate on AI is not simply about whether machines will take jobs from people. The more important question is how society should be organised if work is no longer the only route to income, status and a sense of purpose.
Universal basic income, a shorter working week, widespread retraining, stronger public services and new forms of taxation for the digital economy are all part of the same discussion. Each of these solutions has advantages and limitations. None offers a miracle cure for every challenge.
The most likely future is not a world without work, but a world of different work. There will be fewer mechanical tasks, more oversight of technology, more relationship-based work and a greater need for flexibility. The key question is whether the benefits of this transformation will be concentrated in the hands of a few, or whether they will become the foundation of a more humane economic model.
Artificial intelligence may prove to be not the end of work, but the beginning of the most important debate about time, income and the meaning of life since the Industrial Revolution.
