EIGE
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Individuals - reasons for not using generative AI tools
ta_resdig_dig_intuse__isoc_ai_iaiuxr
Time format:
Years
Unit:
Percentage (comparable)
Keywords:
Internet, Internet use, research, science, science-related, sciences, scientific, STEM, use of Internet
time
geo
×
Time
Select all
Code
Label
2025
2025
×
Geographic region
Select all
Code
Label
EU27_2020
European Union - 27 countries (from 2020)
BE
Belgium
BG
Bulgaria
CZ
Czechia
DK
Denmark
DE
Germany
EE
Estonia
IE
Ireland
EL
Greece
ES
Spain
FR
France
HR
Croatia
IT
Italy
CY
Cyprus
LV
Latvia
LT
Lithuania
LU
Luxembourg
HU
Hungary
MT
Malta
NL
Netherlands
AT
Austria
PL
Poland
PT
Portugal
RO
Romania
SI
Slovenia
SK
Slovakia
FI
Finland
SE
Sweden
NO
Norway
CH
Switzerland
ME
Montenegro
MK
North Macedonia
AL
Albania
RS
Serbia
TR
Türkiye
BA
Bosnia and Herzegovina
XK
Kosovo
indic_is
Reason for not using generative AI tools: No need
Reason for not using generative AI tools: Did not know they existed
Reason for not using generative AI tools: Did not know how to use
Reason for not using generative AI tools: Concerns about privacy, security, or safety
Reason for not using generative AI tools: Other
ind_type
All individuals
Individuals, 15 years old or less
Individuals, 16 to 17 years old
Individuals, 16 to 19 years old
Individuals, 16 to 24 years old
Individuals, 16 to 29 years old
Individuals, 20 to 24 years old
Individuals, 25 to 29 years old
Individuals, 25 to 34 years old
Individuals, 25 to 54 years old
Individuals, 25 to 64 years old
Individuals, 35 to 44 years old
Individuals, 45 to 54 years old
Individuals, 55 to 64 years old
Individuals, 55 to 74 years old
Individuals, 65 to 74 years old
Individuals aged 16-24 with low education
Individuals aged 16-24 with medium formal education
Individuals aged 16-24 with high formal education
Individuals aged 25 to 54 with low formal education
Individuals aged 25 to 54 with medium formal education
Individuals aged 25 to 54 with high formal education
Individuals aged 25 to 64 with low formal education
Individuals aged 25 to 64 with medium formal education
Individuals aged 25 to 64 with high formal education
Individuals aged 55 to 74 with low formal education
Individuals aged 55 to 74 with medium formal education
Individuals aged 55 to 74 with high formal education
Individuals aged 25 to 64 who are employees, self-employed or family workers
Individuals aged 25 to 64 who are unemployed
Individuals aged 25 to 64 who are in the labour force (employed and unemployed)
Individuals aged 25 to 64 who are retired or not in the labour force (excluding students)
Males, 16 to 19 years old
Females, 16 to 19 years old
Males, 16 to 24 years old
Females, 16 to 24 years old
Males, 16 to 29 years old
Females, 16 to 29 years old
Males, 16 to 74 years old
Females, 16 to 74 years old
Males, 20 to 24 years old
Females, 20 to 24 years old
Males, 25 to 29 years old
Females, 25 to 29 years old
Males, 25 to 34 years old
Females, 25 to 34 years old
Males 25 to 54 years old
Females 25 to 54 years old
Males, 25 to 64 years old
Females, 25 to 64 years old
Males 35 to 44 years old
Females 35 to 44 years old
Males 45 to 54 years old
Females 45 to 54 years old
Males 55 to 64 years old
Females 55 to 64 years old
Males 55 to 74 years old
Females 55 to 74 years old
Males 65 to 74 years old
Females 65 to 74 years old
Males with low formal education
Females with low formal education
Males with medium formal education
Females with medium formal education
Males with high formal education
Females with high formal education
Individuals with no or low formal education
Individuals with medium formal education
Individuals with high formal education
Individuals who are born in another EU Member State
Individuals who are born in non-EU country
Individuals who are foreign-born
Individuals who are native-born
Nationals of another EU-Member State
Nationals of non-EU country
Non-nationals
Nationals
Individuals in the labour force (employed and unemployed)
Individuals living in cities
Individuals living in towns and suburbs
Individuals living in rural areas
ICT professionals
Non ICT professionals
Non-manual including the armed forces
Manual
Individuals who are retired or not in the labour force (excluding students)
Employees, self-employed, family workers
Students
Unemployed
Individuals aged 16-29 with low formal education
Individuals aged 16-29 with medium formal education
Individuals aged 16-29 with high formal education
All persons 75-89
Females 75-89
Males 75-89
Persons aged 75-89 with no or low education
Persons aged 75-89 with medium education
Persons aged 75-89 with high education
Females 75-89 with no or low education
Females 75-89 with medium education
Females 75-89 with high education
Males 75-89 with no or low education
Males 75-89 with medium education
Males 75-89 with high education
unit
Percentage of individuals
Percentage of individuals who used internet in the last 3 months
Percentage of individuals who have not used any generative AI tools in the last 3 months
PL
DE
TR
BG
CZ
RS
MK
IT
RO
SK
LV
EE
HR
EU27_2020
LT
LU
SI
CY
FI
SE
DK
FR
XK
PT
AT
BE
CH
EL
HU
NO
NL
IE
AL
MT
ES
ME
BA
time
geo
2025
PL
54.48
DE
48.85
TR
45.96
BG
45.48
CZ
45.25
RS
44.72
MK
42.83
IT
42.8
RO
42.76
SK
42.43
LV
39.98
EE
39.92
HR
39.56
EU27_2020
39.25
LT
38.73
LU
38.44
SI
38.13
CY
37.89
FI
37.44
SE
36.72
DK
36.42
FR
35.84
XK
35.73
PT
34.45
AT
33.99
BE
33.29
CH
32.42
EL
31.79
HU
31.03
NO
30.62
NL
30.31
IE
29.54
AL
26.05
MT
25.57
ES
20.55
ME
11.27
BA
8.09
Available flags:
b
break in time series
c
confidential
d
definition differs, see metadata
e
estimated
f
forecast
i
see metadata
m
imputed
n
not significant
p
provisional
r
revised
s
Eurostat estimate
u
low reliability
x
dropped due to insufficient sample size
y
unreliable due to small sample size
z
not applicable