GKI conducted a representative survey of 1,000 people in July to assess the prevalence of artificial intelligence (AI) use among the population. The results show that 36% use AI at least with moderate frequency in their work, while 42% use it for private purposes.
What tasks is AI used for at work?
- Information search and research: 58% — the most common work-related use. Many respondents ask AI directly instead of using traditional search engines (e.g., Google).
- Ideation and creative tasks: 36%.
- Text creation and summarization: nearly one third.
- Translation: roughly the same share (near one third).
- Producing visual materials (presentations, images, etc.): 20%.
- Programming or other technical tasks: 16%.
Despite spreadsheet programs being part of daily work in many office roles, only about one in ten regular AI users reported that AI helps them with spreadsheet handling and data analysis.
The survey notes that large language models similar to ChatGPT still lag behind desired performance in spreadsheet handling, although they are becoming increasingly capable in data analysis.
Note: respondents could select multiple answers, so the percentages for specific uses can sum to more than 100%.
Gender differences
Men use AI for programming and other technical tasks more than twice as often as women. The researchers attribute part of this gap to the underrepresentation of women in STEM (Science, Technology, Engineering and Mathematics) fields. At the same time, women reported using AI more frequently than men for almost all other purposes, such as information search, text creation, or translation.
Authors of the analysis
- dr. Molnár László — research areas: regional differences, current environmental challenges and labor market trends.
- Mihályi Máté — research areas: economic policy, macroeconomics, labor markets and social mobility, with a focus on Central and Eastern Europe.
GKI’s July survey provides a snapshot of how AI tools are integrated into workplace tasks: primarily as information assistants, with notable roles in creative and text-related work, while technical and spreadsheet-related uses remain less widespread.
