KT Brings ‘AI for All’ Into Everyday Platforms as Competition Shifts From Models to Use
KT is seeking to make artificial intelligence a built-in feature of everyday platforms rather than a standalone service requiring specialist knowledge. By connecting widely used consumer services with domestic AI models, chips, cloud infrastructure and networks, the company aims to let people experi
South Korea's KT is aiming to integrate artificial intelligence into everyday digital platforms rather than offering it as a separate, specialist service. By collaborating with various companies and institutions, including Musinsa, Zigbang, Daum, Educational Broadcasting System (EBS), Mathpresso, Saltlux, and BC Card, KT plans to develop AI services tailored specifically to daily life needs.
This initiative is part of the government-led "AI for All" programme which intends to provide free access to Korean AI services without any usage limits. The program extends beyond general-purpose chatbots to include AI agents capable of handling administrative tasks and document processing.
The scope of this project goes beyond just adding another AI window to each platform. It involves placing AI within search, comparison, and decision-making processes that users already engage in, thus reducing the need for users to navigate to separate AI services, create new accounts, or learn new interfaces. The collaboration includes using Korean foundation models for over half of the workloads and incorporating models developed by more than one domestic provider in each service.
KT will work with EBS and Mathpresso to improve AI-based learning services in education. Mathpresso's QANDA platform, which has approximately 97 million registered users worldwide and about 8 million monthly active users, provides a substantial channel for personalized AI learning to reach a broad audience. In the shopping sector, KT will collaborate with Musinsa, which has about 17 million users and around 8 million monthly active users, to enable personalized recommendations and conversational search.
This will allow customers to find products based on occasion, style, budget, or preference, even if they are unaware of the exact product name or category.
Other sectors such as housing and finance will also benefit from this initiative, with Daum and Saltlux focusing on search and information retrieval, Zigbang on applications to aid property research and housing decisions, and BC Card and DeepSearch on AI-assisted financial information and related services. The approach aims to place AI within the processes users naturally perform, making it more convenient and reducing the necessity to find and account for separate AI services.
This strategy hinges on mass adoption driven by repeat usage, not the sheer size of models. The key advantage of this consortium is not any single AI model but the distribution network it creates. Global AI competition often revolves around model parameters, computing scale, and benchmark results. Instead, "AI for All" seeks to demonstrate whether AI can provide enough practical value to become an integral part of consumers' daily activities.
Written by urgent.news from Korea IT Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
