Naver's large-scale AI infrastructure initiative is being evaluated as representing a fundamental transformation of its business structure, going beyond simple data center expansion. It marks a turning point in which the company expands its domain from a platform business centered on search and advertising to an infrastructure provider that sells AI computing services to external clients.

Until now, Naver has grown primarily around platform businesses such as search, commerce, fintech, and content. Its revenue has also been mostly driven by advertising, e-commerce, and financial services, while its proprietary data centers served largely as internal infrastructure supporting the operation of search and generative AI services.

However, in the global AI market recently, the analysis that relying solely on operating internal services makes it difficult to secure the efficiency of large-scale GPU investments is gaining traction. Accordingly, global big tech companies are expanding their cloud-based computing businesses that provide AI infrastructure to external enterprises, and the model of supplying GPUs as a service is becoming established as a new revenue model.

Domestic AI demand is also growing rapidly. Not only companies pushing to adopt generative AI but also research institutions, universities, and public organizations are entering the race to secure high-performance computing resources. However, shortages in advanced GPU supply and high construction costs remain persistent hurdles, and the industry expects this structural demand to serve as a backdrop for the expansion of the domestic AI computing market.

Naver is also shifting its center of gravity beyond its image as a conventional internet platform company toward commercializing its AI infrastructure operational experience. The analysis suggests that if the company builds a business model that provides computing resources by leveraging the data center operational know-how and AI model service experience accumulated through operating its own services, it can secure a new growth engine in addition to its platform revenue.

The market believes that the success of the AI infrastructure business depends not merely on the scale of investment but on actual customer acquisition. With growing demand for enterprise AI services and digital transformation in the public sector, stable GPU supply, operational efficiency, and customer acquisition are expected to become the key factors that determine long-term competitiveness.

[※ This article is not intended to solicit investment, and investment decisions and responsibilities lie with the investor. AI provided partial assistance.]