South Korea AI Adoption Statistics 2026: Public and Workplace Use
South Korea AI adoption statistics 2026 at a glance
South Korea AI adoption statistics 2026 show that 44.5% reported experience with generative AI in the Ministry of Science and ICT’s 2025 Internet Usage Survey, up 11.2 percentage points on the previous year. The Bank of Korea found that 51.8% of employed respondents aged 15–64 reported using generative AI for work in a separate 2025 survey. The measures answer different questions: the first tracks reported experience in an internet usage study, while the second isolates work-related use among employed people.
The worker survey also found that 63.5% had used generative AI at least once, including outside work. That makes it possible to compare any use and work use within the same study. Use the ministry’s pair of annual surveys for the public trend, and the central bank survey to see how far generative AI had reached into working life.
The public trend in the Internet Usage Survey
The ministry announced its 2025 results on 31 March 2026. The reported experience rate for generative AI was 44.5%, compared with 33.3% in the prior year, as implied by the published 11.2-point difference. If you chart the two years, put the survey years on the horizontal axis and note the release date below. Calling the latter result a “2026 usage rate” makes its reference period harder to understand.
The same release reports experience with AI services more broadly at 67%. This broader question can encompass activities that a person would never describe as generating an image or drafting a document. The gap between the two responses shows why a report about generative AI should use the generative AI question. It cannot be used to estimate the number of people who use a specific category of traditional AI.
Public experience is useful when thinking about how much explanation a digital service needs. It gives a broad sense of who has encountered the technology, although it cannot tell a designer which interface people know or what instructions they understand. A public service trial should still explain what an AI feature does and how to correct its mistakes, including for people who have previously used a chatbot.
What Korean employees reported
The Bank of Korea surveyed 5,512 employed people aged 15 to 64 from 19 May to 17 June 2025. The research team designed the sample with reference to the national labour-force survey, taking occupation, age and gender into account. Of those workers, 63.5% had used generative AI at least once and 51.8% reported work-related use. The 11.7-point gap comes from two questions in the same study, which makes it more informative than subtracting a worker estimate from the general survey estimate.
A respondent may have used generative AI first for private purposes and only later tested a work task. These figures do not show the timing of that transition. They also do not reveal whether workplace use was encouraged by management or whether the worker used a personal account without a company-wide rollout.
An example illustrates the denominator. If one hospital administrator used AI to simplify a draft notice, the worker survey would capture that work-related behaviour if sampled. A survey of healthcare employers could answer whether the institution had adopted an approved system. Neither can substitute for the other, and the employer question would matter more to someone assessing procurement or workplace data handling.
What the results mean for businesses
It can be tempting for a business to take a high employee use rate as proof that the whole organisation is ready for AI. Readiness is a separate question. A team might have experienced individual users while still needing approved access, accuracy checks and clear instructions on which information can leave the company. A business adopting a tool for all employees also needs a way to learn whether people use it for the task it was bought to support.
A sensible follow-up to the Bank of Korea findings is to measure work tasks locally. Ask which tasks employees use generative AI for, whether the tools belong to the employer, and how often staff check the output before using it. Responses about translation, document drafting and research are more actionable when they include frequency, examples of corrections and the consequences of an error.
For an international supplier review, consider asking a Korean partner what it calls an approved AI workflow. If AI is built into software the partner already uses, the answer may be tied to a department or a vendor contract. Ask who reviews the output and which tools are approved for shared material. The national worker study provides context for the question, while the partner’s actual process determines what happens to your documents.
Comparing South Korea with Japan or France
The study of employed South Koreans covers people aged 15–64 and specifically reports work-related use. The French public figure in our France AI adoption guide covers people aged 12 and over and uses a different instrument. A side-by-side display can teach readers what the questions measure. Ordering the figures as if they show how intensely each country uses AI would lose that distinction.
When an international comparison is the real goal, start with an instrument that asks a common question in the same time window and age group. If one source has respondents aged 16 to 74 and another covers employed people aged 15 to 64, report them in different categories. Use the international country hub to find other national studies and the What Is ChatGPT? homepage for related coverage.
A reusable way to cite the results
For the public figure, say “In the 2025 Internet Usage Survey, South Korea’s Ministry of Science and ICT reported that 44.5% had experience with generative AI.” For the workplace figure, say “In a Bank of Korea survey conducted in May and June 2025, 51.8% of employed respondents aged 15–64 reported work-related generative AI use.” That wording keeps the groups and dates attached even if the sentences are copied into a slide.
To describe change, write “up 11.2 percentage points” for the ministry’s series. If a publication uses only the latest number, retain the label “experience” instead of recasting it as regular use. This matters when a study is reused in a business presentation where readers may assume any percentage marked “adoption” refers to paid subscriptions, active accounts or deployment across the workforce.
The next measurement to look for
For policymakers, the next priority is evidence about how people use the tools over time. An experience rate may rise quickly while regular use settles at a lower level. For employers, useful follow-up measures could include which job groups use generative AI, how employers guide its use and which tasks still need intensive human checking. Look for a repeat of the same questions to separate real change from a change in methodology.
Which tool measures are useful for product research?
The Ministry of Science and ICT’s release lists ChatGPT and other services separately from the all-tool generative AI measure. Treat those responses as evidence about use under the questionnaire’s wording. A respondent may use more than one service, so a survey listing several named tools cannot automatically be read as a division of one market. To estimate competitive position, first decide whether your metric is the number of users, frequency of use, share of paid subscriptions or share of activity in a particular task.
The same release reports that 66.8% gave a positive assessment of AI services’ overall societal impact. A favourable assessment and actual use belong in different columns. Someone can see benefits for research or accessibility without using the tools personally. A regular user can still worry about the accuracy of results or how personal data is handled. An evaluation of trust should ask about that issue directly, ideally with a realistic example and a separate question about whether the person used the feature.
For a product launch, consider building your own small study around tasks rather than brands alone. Ask participants how they currently complete one specific job, then give them the same task in the proposed tool. That helps you see whether an apparently familiar technology removes work or simply changes where the checking happens.
Frequently asked questions
Is 44.5% a ChatGPT market share figure?
It refers to experience with generative AI in the ministry’s survey. The release lists individual services separately. Keep all-tool experience and use of a named service in separate columns.
Does over half of South Korea’s population use AI at work?
The 51.8% figure describes employed respondents aged 15–64 in a separate survey. It cannot be extended to people outside work or to the entire national population.
Have Korean companies deployed AI to most of their workers?
The cited worker study measures self-reported behaviour. To answer a question about deployment, use an enterprise survey or company rollout data that explicitly tracks approved access and use.
Which date goes next to the workplace figure?
Use May–June 2025 for the fieldwork and state that the Bank of Korea analysis was published in 2026.
