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Poles on Artificial Intelligence: Opportunity or Threat?

CAREERSPoles on Artificial Intelligence: Opportunity or Threat?

From the latest study by, it appears that those who are most fearful of artificial intelligence (AI) in the context of work are those who have not previously utilized it at their jobs. Representatives of industries such as marketing and PR or HR, where AI-powered solutions are currently in daily use, see more opportunities for growth than threats in them. On the contrary – despite their concerns – Poles acknowledge that artificial intelligence can be beneficial to them and evaluate it positively, for instance when job seeking. Provided it does not replace human beings but serves as support to them.

Main findings of the study:

  • 22% of Poles worry about the increased impact of AI and automation at their workplace.
  • 36% are afraid that due to AI, the number of available job opportunities may decrease in the future.
  • Only 13% of respondents have previously used AI-based tools in their jobs.
  • 1 in 4 believes that artificial intelligence will free up time for more ambitious tasks.
  • 51% would react positively to AI recommendations presenting the most suitable job offers.
  • 27% declare a negative attitude to preliminary selection of CVs sent by candidates through AI (without human intervention).

With the dynamic evolution of AI, the job market is undergoing changes – new challenges and opportunities emerge for both employees and employers. Automation of repeatable, routine tasks may soon become an integral part of the contemporary work environment.

Training and education in the field of AI is key for adapting to the changing demands of the labor market – and not only for this reason. They also allow those who harbor some fears about the new technology to become familiar with it. As shown by the latest study, this applies to quite a large group. Indeed, it turns out that as many as 22% of Poles are afraid of the increased impact of artificial intelligence and process automation at their workplace. Even more people, as much as 36% of respondents, fear that AI may cause a decrease in the number of job vacancies available in the near future.

The fear of AI, in light of the industries respondents work in, delivers interesting insights. The data indicates, in fact, that the growth of AI and task automation in the workplace is primarily expected by representatives of professions relating to marketing and PR (38% express concern), customer service (31%), logistics, procurement and HSE (29%). These are industries where AI is already quite commonly in use.

Surprisingly, the industry expressing the most concern about job numbers in relation to the spread of AI, is beauty and sport (53% express this concern). This is surprising given that – as shown by research – only 7% of this industry’s representatives have used tools based on AI mechanisms in any way to date. It should be noted that the average for all industries is 13%.

Among the sectors where AI is currently most often practically applied, are marketing and PR – where 29% of respondents have had the opportunity to use AI, project management (24%) and sales and commerce (16%). The fear of job loss in connection with the development of AI in these sectors is much closer to the average for all industries.

Of the experts surveyed, there is no full agreement as to whether artificial intelligence will become an integral part of our reality – both professional and otherwise – or whether its role will be marginal. There are several factors, including regulatory issues, detached from the possibilities of the technology itself, that influence this. Hence, it is even more heartening that candidates and employees – as shown by the survey – while scrutinizing AI critically, remain open-minded about the role it could play in their professional development.


The “New Recruitment Laws” survey was carried out in September 2023 by ARC Rynek i Opinia on behalf of The measurement method CAWI was performed on a sample of 2120 Poles aged 18-65, including 424 people aged 55-65. The sample structure was controlled taking into account gender, age, and size of the place of residence.

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