Trend Beyond general-purpose limits toward specialisation: the spread of vertical AI
Summary
The report sees vertical AI gaining attention as demand grows to overcome the limits of general-purpose AI and solve problems specific to industrial settings. General models such as ChatGPT cover broad knowledge but struggle with decisions that must reflect the particular rules, regulations and work context of finance, law or medicine. Vertical AI learns industry-specific regulations and standards and performs well in domains where rules are complex and change often. It is increasingly integrated directly with enterprise systems such as ERP, CRM and SCM, and agents built on it are expected to take over core functions like fraud detection, predictive maintenance and personalised treatment planning. Combined with on-device AI, vertical AI is expected to make real-time support for field workers and tailored advice commonplace.
Classification
Evidence 1
- 한국지능정보사회진흥원(NIA) NIA가 전망한 2026년 12대 AI·디지털 트렌드 한국지능정보사회진흥원(NIA) no link — bibliographic entry p. 21 2025-12-31 accessed 2026-09-30
Futures articles 1
Observed signals 1
Part of issues 1
- IssueIndustry-specific data and trust frameworks for vertical AI in Korea1 trends · 0 signals
Relation types: constitutes · supports
Public id: fm-ebdf1b6a356a
