Generative AI and AI chips move to the center of South Korea’s IT agenda
The hottest topic in South Korea’s IT sector is, without question, generative AI, the AI semiconductors that power it, and the race for high-bandwidth memory (HBM). Since the launch of ChatGPT, the global industrial landscape has shifted rapidly, and AI has become far more than a software-service battleground. It is now a core factor shaping competitiveness across data center infrastructure, semiconductor supply chains, cloud services, search, commerce, and enterprise software. South Korea stands at the heart of this transition, backed by its strength as a global memory semiconductor powerhouse. In particular, as AI computing demand has surged, so has demand for HBM used alongside GPUs, further elevating the strategic importance of the country’s chip industry. The market is no longer focused simply on who can build the best AI services, but on who can control both the hardware and the platforms of the AI era.
This trend is also clearly visible in the strategic shifts of South Korea’s major IT and platform companies. Naver has been restructuring its business around integrating hyperscale AI into search, advertising, commerce, and productivity tools, while Kakao has focused on upgrading AI services and expanding user touchpoints. At the same time, Samsung Electronics and SK hynix are aiming to secure global leadership in memory, semiconductor packaging, and advanced manufacturing processes—the essential building blocks of the AI era. In other words, the current issue in South Korea’s IT industry is not a single event, but a broader structural transformation in which semiconductors, cloud, platforms, and content ecosystems are all being reshaped at once by the spread of generative AI.
How HBM is reshaping the semiconductor landscape—and what it means for Korean companies
HBM has become one of the most symbolic keywords in South Korea’s IT and semiconductor industries. It is widely regarded as an essential component in AI accelerators that must process massive volumes of data at high speed. If conventional DRAM served as general-purpose memory, HBM is emerging as the strategic memory of the AI era. SK hynix has significantly expanded its presence in the HBM market through supply partnerships with global AI ecosystem leaders such as Nvidia, while Samsung Electronics is also accelerating efforts to strengthen its HBM competitiveness and secure advanced packaging capabilities. This goes beyond simply selling more memory. HBM competitiveness depends on a complex mix of factors—including yield, stacking technology, heat control, packaging, and customer certification—making it a key indicator of a company’s overall technological strength and supply-chain execution.
Still, the opportunity does not come without risk. The AI semiconductor market has enormous growth potential, but it also carries high barriers to entry and heavy investment burdens. Expanding production facilities, funding research and development, strengthening back-end manufacturing capabilities, and building customer-specific validation systems all require massive spending. On top of that, uncertainty is rising as U.S. export controls on semiconductors to China, global supply-chain restructuring, and competition for advanced process technology all intensify. For Korean companies, this means the tailwind of expanding AI demand is colliding with geopolitical risk and deepening technological competition. Even so, the market generally believes South Korea’s semiconductor industry is among the most likely to benefit directly from the expansion of AI infrastructure, thanks to the global standing it has already secured in memory chips.
Platform companies enter all-out competition as search, advertising, and workplace tools become AI-first
The shockwave from generative AI does not stop at semiconductors. South Korea’s platform companies are also rebuilding their services around AI. Search is one of the first areas where users can feel the change. Traditional search centered on links and documents, but generative AI is reshaping expectations by understanding questions and delivering summarized answers. That shift is disrupting advertising models, user engagement time, content distribution, and even the creator ecosystem. This is why domestic players such as Naver and Kakao are strengthening AI-powered search, personalized recommendations, and workplace assistance features. To survive, they need more than just catching up with overseas big tech—they must differentiate through Korean-language data, local-service integration, and the combination of commerce and content.
The enterprise software market is being reorganized for the same reason. As AI is used for drafting documents, summarizing meetings, assisting with coding, handling customer inquiries, and generating marketing copy, the very definition of productivity tools is changing. Korean companies now have to weigh cost against efficiency as they choose between developing their own hyperscale AI models and using external ones. Large platform firms are seeking ecosystem leadership by combining proprietary models with cloud infrastructure, while mid-sized firms and startups are trying to stand out with vertical AI services tailored to specific industries. Ultimately, the next phase of competition is likely to come down not to who built the biggest model, but to who integrates AI most effectively into real work and consumer experiences.
As cloud and data center investment rises, power and regulation become new variables
The fiercer the AI race becomes, the more important data centers and cloud infrastructure grow. Generative AI requires enormous computing resources not only for training but also for inference, making stable server infrastructure and electricity supply directly tied to industrial competitiveness. This brings telecom companies, cloud providers, internet firms, and semiconductor companies onto the same strategic axis. In South Korea as well, expanding data centers, securing GPUs, and scaling enterprise AI infrastructure have become major priorities. But data center expansion also brings rising power consumption, local community acceptance issues, cooling costs, and environmental regulations. In other words, growth in the AI industry is not just a technology issue—it is also an energy and policy issue.
Another major variable is regulation. As the AI industry grows, questions around personal data protection, copyright, the legality of training data, and algorithmic accountability are coming to the forefront. In content industries such as news, images, video, and music, social consensus on how generative AI should relate to existing creative works will be especially important. Korean IT companies must secure technological competitiveness while also managing regulatory risk. If they lose user trust, the spread of AI services will inevitably slow. That is why the next stage of competition will depend not only on model performance, but also on how well companies design transparency, safety, and data governance.
South Korea’s next battleground is the ability to integrate the entire AI ecosystem
In the end, the core issue facing South Korea’s IT industry can be summed up not simply as generative AI itself, but as a broader competition over who can best integrate the AI ecosystem. In semiconductors, HBM, advanced packaging, foundries, and partnerships around AI accelerators are becoming increasingly important. On platforms, the key question is how naturally AI can be embedded into search, advertising, content, and commerce. Cloud and data centers support that foundation, while regulation and data policy determine long-term sustainability. South Korea clearly has areas where it can compete globally in AI: world-class memory technology, rapid digital transformation, a strong mobile-first service environment, and users who adapt quickly to new technologies.
That said, the challenges are just as clear. In the global race for large language models themselves, U.S. big tech still holds a powerful lead, while China is catching up quickly on the back of its vast domestic market and strong policy support. Rather than trying to fight head-on in every area, South Korea needs to focus its resources on fields where it has practical advantages—such as semiconductors, local services, industry-specific AI, Korean-language optimization, and enterprise productivity solutions. Only when investment, technology, and policy are aligned in the same direction can South Korea’s IT industry turn the AI boom into long-term competitiveness rather than short-term gains. In that sense, generative AI, HBM, and the AI semiconductor race are not just passing trends, but structural issues that will shape the growth path of South Korea’s IT industry for years to come.
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