South Korea Bans DeepSeek AI Chatbot Over Privacy Concerns

South Korea has banned new downloads of the Chinese AI chatbot DeepSeek due to concerns about personal data privacy. The decision was announced by the country’s Personal Information Protection Commission (PIPC), which stated the app could return to stores once it complies with national data protection laws.

DeepSeek recently gained significant popularity in South Korea, quickly reaching over a million weekly users. However, its rapid success also brought heightened scrutiny from both domestic and international regulators.

Government Actions and Industry Concerns

On Saturday evening, DeepSeek became unavailable for download on both Apple’s App Store and Google Play. The ban followed decisions by multiple government agencies to prohibit their employees from using the chatbot on work devices.

Choi Sang-mok, South Korea’s acting president, called DeepSeek’s rise a “shock” and warned about its potential impact on industries beyond AI. Despite the ban on new downloads, users who already have the app installed can continue using it or access it via DeepSeek’s website.

Global Scrutiny and Restrictions

South Korea is not the only country concerned about DeepSeek. Taiwan and Australia have also banned the app on government devices. The Australian government emphasized that its decision was not due to the app’s Chinese origin but rather the “unacceptable risk” it poses to national security.

In Europe, Italy’s data protection authority has followed suit, demanding improvements to DeepSeek’s privacy practices. Regulators in France and Ireland have also raised questions about how the company stores and processes user data. Concerns center on whether personal information is stored on servers in China, as DeepSeek’s privacy policy suggests.

Meanwhile, in the United States, lawmakers have introduced a bill to ban DeepSeek from federal devices, citing surveillance risks. Several states, including Texas, Virginia, and New York, have already implemented similar restrictions for state employees.

AI Innovation and Cost-Efficiency

DeepSeek’s rapid rise has drawn comparisons to leading US models like OpenAI’s GPT-4. Its large language model (LLM) reportedly offers comparable reasoning capabilities while requiring significantly less computing power and training costs.

The chatbot’s success has sparked questions about the massive investments being made in AI infrastructure in the US and other countries. Experts are now watching how DeepSeek addresses privacy concerns and whether it can maintain its momentum amid increasing global scrutiny.

For now, South Korean users will have to wait for updates to the app’s privacy practices before it returns to local app stores.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.