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generAtIon – Exploring Generational Differences in Perception and Use of Artificial Intelligence

In: Proceedings of the Kautz Conference on Business and Economics 2025 (KCBE 2025)

Author

Listed:
  • Gabor Keresztes

    (University of Sopron)

  • Nikoletta Nemeth

    (University of Sopron)

  • Katalin Meszaros

    (University of Sopron)

Abstract

The rapid advancement of artificial intelligence (AI) is reshaping everyday life, the economy, and society. Generational differences strongly influence how people relate to AI, shaped by their technological experiences, trust levels and ethical considerations. While younger generations—especially Generation Z—tend to be more open and adaptable, older groups are generally more cautious. Understanding these differences is essential for fostering social acceptance of AI. This study examines how the Hungarian population perceives and uses AI, with particular attention to generational variations. It focuses on AI use in work and private life, frequency of use, responsibility issues, and expected impacts on the labor market and human development. The primary research (n = 374) involved quantitative data collection through online and in-person questionnaires across all primary age groups. The sample reflects the population’s generational distribution, and the use of a standardized questionnaire ensured comparability. Findings show that Generations Z and Y are more knowledgeable about AI’s benefits and risks and use these technologies more frequently. Younger respondents associate AI with opportunities and rapid progress, whereas older individuals adopt a more skeptical and risk-focused view. Most participants believe human oversight should remain essential and express concerns about job loss and potential risks to humanity. Overall, although it includes demographic, educational, and occupational factors, it should include qualitative insights to emphasize opportunities, while older generations highlight risks. Future research should expand its focus to include demographic, educational, and occupational factors, and should incorporate qualitative insights to deepen understanding of generational patterns.

Suggested Citation

  • Gabor Keresztes & Nikoletta Nemeth & Katalin Meszaros, 2026. "generAtIon – Exploring Generational Differences in Perception and Use of Artificial Intelligence," Advances in Economics, Business and Management Research, in: Gábor Szabó-Szentgróti & Amanda Cecil & Jessica Lichy & Marco Cucculelli & Sándor Remsei & Eszter Lu (ed.), Proceedings of the Kautz Conference on Business and Economics 2025 (KCBE 2025), pages 219-238, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6239-658-6_12
    DOI: 10.2991/978-94-6239-658-6_12
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