제조 기업의 AI 내재화를 위한 인력 수요 및 기술 역량: 국내 가전 대기업 사례를 중심으로

With the rapid advancement of AI, many companies are adopting technology management strategies that incorporate AI into existing products and services. Although the shortage of qualified AI personnel poses a major barrier to effective AI technology management, research on AI-related human capital remains limited. This study conducts an empirical analysis of the required competencies and technical capabilities for AI technology management, based on surveys and interviews conducted at a major domestic home appliance manufacturer transitioning from a traditional manufacturer to an AI-enabled technology enterprise. The findings indicate that current national AI policies are disproportionately focused on LLMs, while underestimating the significance of data-related roles and computer vision technologies. The study proposes an AI internalization framework and a six-stage project process specialized for the manufacturing sector. It also identifies perception gaps among departments responsible for strategy, development, and recruitment during the AI internalization process, providing practical tools for assessing organizational AI maturity and designing talent strategies. This research provides actionable insights into talent acquisition and development strategies essential for successful AI adoption in the manufacturing sector, a cornerstone of the national economy. Furthermore, it offers policy implications for government-led AI talent development initiatives and the design of industry-aligned educational programs.