Share of people in European countries using generative AI tools
What you should know about this indicator
- This data comes from Eurostat's annual survey on the use of information and communication technologies (ICT) in households and by individuals, a sample survey carried out by national statistical institutes.
- Respondents were asked whether they had used any generative AI tools (e.g. ChatGPT, Copilot, Gemini, LLaMA, Midjourney, DALL-E) to create content like text, images, programming code, or videos in the last 3 months. Possible answers were: Yes or No.
- In 2025, around 330,000 individuals aged 16 to 74 in the EU were surveyed through face-to-face interviews, telephone interviews, or online questionnaires.
- 2025 is the first year Eurostat included questions on generative AI use in this survey, so no earlier time series is available for this indicator.
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Sources and processing
This data is based on the following sources
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All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.
At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.
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Citations
How to cite this page
To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:
“Data Page: Share of people in European countries using generative AI tools”, part of the following publication: Charlie Giattino, Edouard Mathieu, Veronika Samborska, and Max Roser (2023) - “Artificial Intelligence”. Data adapted from Eurostat. Retrieved from https://archive.ourworldindata.org/20260420-160145/grapher/share-europe-using-generative-ai.html [online resource] (archived on April 20, 2026).How to cite this data
In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:
Eurostat (2026) – with minor processing by Our World in DataFull citation
Eurostat (2026) – with minor processing by Our World in Data. “Share of people in European countries using generative AI tools” [dataset]. Eurostat, “Use of generative AI tools by individuals” [original data]. Retrieved April 20, 2026 from https://archive.ourworldindata.org/20260420-160145/grapher/share-europe-using-generative-ai.html (archived on April 20, 2026).Download
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Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.
Data API
Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.
Data URL (CSV format)
https://ourworldindata.org/grapher/share-europe-using-generative-ai.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/share-europe-using-generative-ai.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/share-europe-using-generative-ai.csv?v=1&csvType=full&useColumnShortNames=false")Python with Pandas
import pandas as pd
import requests
# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/share-europe-using-generative-ai.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})
# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/share-europe-using-generative-ai.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/share-europe-using-generative-ai.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/share-europe-using-generative-ai.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/share-europe-using-generative-ai.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear