최근 AI가 미디어의 새로운 생산·소비 주체로 부상하면서, 인간 중심으로 전개되어 온 미디어 생태계가 구조적 전환 국면에 진입하고 있다. 특히 AI는 콘텐츠 제작, 분석, 유통, 의사결정 등 전 과정에서 미디어 기능을 고도화하는 핵심 동력으로 자리 잡으며, 관련 사례를 빠르게 확산시키고 있다. 반면, 미디어가 AI의 학습과 추론을 직접적으로 지원하는 인프라로서 어떻게 설계되고 운영되어야 하는지에 대한 개념적 논의는 충분히 제시되지 못한 상황이다.
본 연구는 이러한 변화의 흐름을 반영하여, AI의 개발과 활용 전 과정을 매개하는 미디어 구조를 ‘Media for AI’로 정의하고, 산업별 실증 사례 분석을 통해 구체화한다. 나아가 이러한 탐색 과정을 통해 AI를 실질적으로 지원하는 미디어 기술 요소를 식별하고, 향후 AI 경쟁력을 좌우할 미디어의 발전 방향과 전략적 함의를 제시한다.
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