The Turkish Statistical Institute’s Artificial Intelligence Statistics, released on October 2, 2026, tracks people’s use of generative AI alongside enterprises’ use of the broader set of AI technologies. The share of people aged 16 to 74 who said they had used generative AI in the previous three months was 19.2% in 2025 and 37.6% in 2026. For enterprises with at least 10 employees in the economic activities covered by the survey, TurkStat measured use of any AI technology at 7.5% in 2025 and 14.0% in 2026. Both series roughly doubled, but their percentages are not directly comparable: the individual indicator is specifically generative AI, while the enterprise indicator covers a broader technology definition and a different population.

Differences across age groups are pronounced in the individual results. Reported generative AI use was 64.9% among people aged 16–24, 55.7% for ages 25–34 and 38.1% for ages 35–44. The rate was 38.1% for women and 37.2% for men. By education, TurkStat reported use among 62.7% of tertiary graduates, 45.4% of people with upper-secondary or vocational secondary education, 35.5% of those with primary or lower-secondary education, and 8.5% of primary-school graduates. These are shares within the survey’s defined population, not evidence that age or education alone causes adoption. Internet access, occupation, income, familiarity with digital tools and other characteristics may also vary across groups.

People who reported using AI could select more than one purpose. Among these users, 86.4% selected personal purposes, 37.3% professional purposes and 32.6% formal education. In the gender breakdown, 43.2% of male users reported professional use and 36.1% of female users reported use for formal education; the corresponding personal-use shares were 86.0% and 86.8%. Because respondents could choose multiple purposes, these percentages can add to more than 100%. They do not measure frequency, time spent, productivity gains or which products individuals chose. The bulletin describes reported use and selected purposes; it does not evaluate whether the systems delivered a benefit or changed outcomes.

Enterprise adoption also differs by workforce size. In 2026, the share reporting AI use was 12.8% among enterprises with 10–49 employees, 17.0% among those with 50–249 employees and 37.1% among enterprises with 250 or more employees. By activity, telecommunications, programming and IT businesses recorded the highest rate at 63.7%. Publishing, radio and television, and content activities followed at 57.1%; repair of computers and communication equipment was at 32.4%. Among enterprises already using AI, the most frequently reported purposes were marketing or sales (51.0%), research and development or innovation (46.3%), and production or service processes (43.4%). Purpose answers were also multiple-response figures, so they describe the mix of reported uses rather than mutually exclusive shares of all enterprises.

Other results point to choices about supply, expertise and governance. Among AI-using enterprises, 67.8% reported using open-source software or systems and 49.1% closed-source options; 46.5% said an external provider developed systems for the enterprise, while 32.1% said their own employees did so. Among enterprises that did not use AI but were considering it, the leading reported barriers were lack of relevant expertise (72.3%), uncertainty about legal consequences such as responsibility for harm (66.4%), and concern about data protection or privacy (65.4%). That group is not all businesses. The bulletin combines two TurkStat surveys: the individual results cover people aged 16–74, and the enterprise results cover businesses with at least 10 employees in the stated scope. It measures reported adoption, not AI’s effects on productivity, employment or economic performance.