Society

Artificial intelligence will change every fourth job in the world, according to ILO and NASK research

Every fourth workplace in the world is influenced by generative artificial intelligence (AI), according to a joint study by the International Labor Organization (ILO) and the National Research Institute of Poland (NASK) published by the UN, "Komersant Ukrainian" reports.

The main conclusions of the study

• The main effect of AI is not to replace people but to transform their work.
• The study is based on the analysis of real professions, expert opinions, and modern AI models.
• This approach allows us to assess the level of risk for labor markets and develop effective response strategies.

“We have created a reproducible tool that will help countries analyze risks and adapt,” said Pawel Hmyrek, lead author of the study.

Office workers and women will suffer the most

• 25% of jobs in the world are potentially affected by AI, and in developed countries – up to 34%.
• Women are at a higher risk of job transformation than men.
  • In highly developed countries, 9.6% of women’s professions are at risk of automation.
  • Among men, the number is 3.5%.

Professions with the highest risk

• First of all, AI can automate office tasks.
• The impact also extends to industries:
  • software development
  • media
  • finance
• However, full automation is only possible for a limited number of professions – many tasks still require human intervention.

A call for an inclusive approach

The ILO calls on governments, employers and trade unions to develop inclusive strategies that

• increase productivity
• preserve jobs;
• ensure decent work in the context of digital transformation.

“We must remain clear and act for a fair future,” emphasized Janine Berg, ILO Senior Economist.

How Ukrainian business is responding

In response to the growing role of AI, Ukrainian companies such as Prostor, Nova Poshta, and MHP have already opened vacancies for AI directors. Their task is to introduce AI into strategic and operational processes: from logistics optimization to customer service automation.

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