For partners 
Talk about artificial intelligence soon leaving people without jobs is becoming more and more frequent. This is especially concerning for schoolchildren, students, and young professionals who are only just choosing their future careers. But what is actually happening?
Researchers at Anthropic, the company that developed the AI model Claude, decided to look not at forecasts, but at real workflows: they analyzed millions of user requests to artificial intelligence and found out which professional tasks people are already actively delegating to neural networks. The results revealed an interesting picture: AI is indeed changing the labor market, but for now it is not about the complete replacement of specialists, but primarily about the automation of individual tasks.
Where artificial intelligence is used most often
Who is at risk first?
Neural networks are most actively helping professionals whose work involves processing information, texts, data, and digital processes. Programming has turned out to be the most vulnerable field: artificial intelligence can already write code, find errors, improve program structure, and create technical documentation. Many developers use neural networks as full-fledged assistants in their daily work.
A high level of automation is also observed in customer service. Neural networks are quite good at answering typical customer questions, helping process returns, and handling first-line user support.
Among the professions already being significantly affected by technology, researchers identified:
- Data entry operators,
- Medical registrars,
- Marketers and market analysts,
- Sales managers,
- Financial analysts,
- Software testers,
- Information security specialists,
- Technical support staff.
The common feature of these professions is that a significant portion of their tasks follows clear algorithms and can be described as precise instructions that a neural network will gladly «digest».
Why AI has not yet fully replaced people?
Despite its impressive capabilities, artificial intelligence is rarely able to independently perform all of a specialist's work. For example, AI can prepare a report for a marketer, but cannot make a strategic decision. It helps testers find errors in programs, but falls short of humans in non-standard situations. In sales, neural networks ease the preparation of commercial proposals, yet real negotiations and building client relationships still remain in human hands. This is precisely why experts speak not so much of replacing professions, but of changing their content.
What is happening in the labor market: from layoffs to resilient professions
The research found no direct link between the spread of artificial intelligence and large-scale layoffs at companies of various sizes, but some signals are already visible. For example, according to the researchers, the hiring rate of entry-level employees aged 22 to 25 declined by 14% compared to 2022. Additional questions are raised by the policies of large companies. For instance, Amazon and Block have carried out large-scale staff reductions in recent years, with executives directly linking the need to restructure their businesses to the adoption of artificial intelligence technologies.
Against the backdrop of AI development, many employees feel anxious about their future. According to a survey by the American Psychological Association, more than 1/3 of workers in the US fear that neural networks could partially or fully devalue their professional skills.
Interestingly, nearly 33% of the professions studied by the researchers showed no signs of vulnerability to modern AI systems at all! These are primarily specializations where physical work, practical skills, and interaction with the real world are important. Among the most resilient professions are:
- Cooks,
- Mechanics,
- Gardeners,
- Rescue workers,
- Bartenders,
- Equipment maintenance specialists,
- Representatives of many manual trades.
Such fields are harder to automate, since they require not only information analysis but also action in a constantly changing physical environment, as well as manual labor.
What this means for prospective students
The main conclusion of the research is that artificial intelligence is changing not individual professions, but the approach to work as a whole. Today, employers need specialists who can effectively use new technologies rather than compete with them, so when choosing a profession it is important to pay attention not only to current demand, but also to the ability to continually learn and master new tools.
It is telling that Generation Z is already factoring this in: according to Jobber research data, 77% of young people prefer professions that are difficult to automate, and many are considering careers in construction, manufacturing, electrical engineering, and engineering systems maintenance.
Artificial intelligence will most likely continue to reshape the labor market, but for now experts are talking not about some professions disappearing, but about new skill and competency requirements emerging in virtually every field. For future students, this means one thing: the ability to adapt and learn new things is becoming no less important than the choice of a specific specialty.
