The international work organization was looking for a country that can become a model for global analyzes. The choice fell on Poland for three reasons:
First of all, we have the most accurate classification of the competition in the world – it is described by almost 30 thousand. specific tasks. This is ten times more than an international standard.
Secondly, Poland is the perfect “golden mean”. We are exactly between advanced and emerging economies. We are distinguished by widespread internet access and medium levels of digitization.
Thirdly, researchers recognized us as the “upper threshold of possibilities”. If AI can automate something in Poland, it can probably do it everywhere in a developed world.
Test methodology
The MOP team combined the assessments of people and artificial intelligence. First, three advanced AI models (GPT-4, GPT-4O and Gemini Flash) rated all 30,000. Polish professional tasks. Then Polish employees did the same, assessing their susceptibility to automation from their own professional perspective. At the end, international experts verified the results. Effect? Compliance at 92 percent This means that the method can be duplicated in every country of the world.
The competition is the most and the least threatened
The authors of the report distinguished six exposure levels on the influence of AI: from lack of exhibition, through the minimum, up to four growing levels of interference. The highest means the greatest susceptibility to automation and the smallest variety of tasks.
The most prone to the influence of artificial intelligence are Financial analystswhere AI can take over 62 percent tasks. Right behind them HR and PPO employees and Call Center employees – 61 percent They continued to find themselves Web developers, Credit advisorsand, general office workers and HR—Wes – 60 percent automatized tasks.
At the other pole they were placed bricklayers, hunters and farm employees – Only nine percent of their tasks can be taken over by tecnology. Similarly firefighters (18 percent), doctors (29 percent) musicians (28 percent).
Who really has reasons to worry
Globally about 25 percent employees performs work exposed to the influence of AI. But the devil is in the details.
In developed countries, this exhibition already reaches 34 percent. In addition, it breaks down very unevenly. Over nine percent work in the highest risk competitions. women, but only three and a half percent men. This is the effect of the labor market structure: women are more often employed in positions with a predominance of tasks that are easily automated, such as administration, accounting or staff departments.
The situation in poorer countries is completely different. Only 11 percent are exposed there. working people and the differences between sexes are minimal. Reason? The economy is based on physical work – agriculture, production or services requiring human presence. These are areas where AI has limited possibilities.
What does this mean for the labor market?
The authors do not scare with dismissals. Just because something can be automated does not mean that it must necessarily have to. The reality will depend on the costs, regulations and how companies decide to use technology. The most effective model will probably be a cooperation model in which man and machine complement each other.
Equally important, a high exposure to AI does not have to mean something bad. In many professions, artificial intelligence can increase productivity – support people when creating analyzes, reports, code or managing large data sets. This is a chance for a more effective and less tedious work.
The Polish model is to be the basis for research in other countries. MOP plans to share all tools – questionnaires, guidelines, methodology – so that each country can create its own exhibition index. This is the basis for determining a frame of global reflection on the future of work.
This is a special opportunity for the organization. We have the best tools to predict and manage changes that are just coming. Now they need to be used wisely – investing in retraining employees, developing systems monitoring the influence of AI and creating a new labor policy framework.
The report developed by the International Labor Organization was created in cooperation with the Ministry of Family, Labor and Social Policy, the Ministry of Digitization and NASK – the National Research Institute.
