AI Industry Faces Reshaping of Employment Landscape and Realization of Profitability

According to recent reports, artificial intelligence (AI) is expected to reshape, rather than replace, jobs worldwide. However, analysis also suggests that concurrently, the AI boom has faced a 'reality check' regarding sluggish returns compared to massive investment costs. This indicates that the AI industry has moved beyond a simple technology development phase and is now confronting new challenges, including actual business value creation and efficient return on investment.

What Happened

Recent reports analyze that Artificial Intelligence (AI) will revolutionize the global employment market, but rather than completely replacing jobs, it will create new roles and opportunities. This reflects the expectation that AI technology will evolve to assist human tasks and enhance productivity. However, at the same time, voices calling for a 'reality check' on the AI industry are growing louder in the market. It is being pointed out that despite massive R&D and infrastructure investments, the profitability of AI-related companies is falling short of expectations. This indicates a deepening concern regarding the commercialization of AI technology and the establishment of revenue models.

Why It Matters

The AI industry has seen unprecedented investment and growth over the past few years. However, it has now reached a critical inflection point where it must move beyond technological development to create real economic value and establish sustainable revenue models. While 'job restructuring' emphasizes the positive impact of AI across society, 'profitability realization' demands that investors more closely evaluate the financial health and long-term growth potential of AI companies. This necessitates efficient resource allocation and the discovery of innovative business models for AI-related companies, and a cautious approach through careful selection for investors. These changes in the AI industry will affect the entire related ecosystem, including semiconductors, software, and cloud computing.

Impact on the Korean Market

The Korean market is also expected to react sensitively to these changes in the AI industry. Domestic AI-related companies will face the practical challenge of securing profitability while simultaneously pursuing technological development and market expansion. This means that competition will intensify, particularly in core infrastructure areas such as AI semiconductors, AI software, and data services, and companies that demonstrate value through real-world business applications will become more prominent. In the employment market, demand for AI-related specialized personnel will continue to increase, but as simple, repetitive tasks are replaced by AI, the importance of job retraining and lifelong learning will grow significantly. In the bond market, the long-term growth potential of the AI industry will be positively assessed, but changes in corporate credit ratings due to short-term profitability concerns will need to be closely monitored. In the cryptocurrency market, interest may continue in blockchain projects highly related to AI technology or AI-based service coins.

Key Stock Analysis

Samsung Electronics (005930, stock): As a key supplier in the AI semiconductor (HBM) market, the sustained growth of the AI industry will positively impact Samsung Electronics' semiconductor business division. However, pressure to realize profitability relative to AI investments may demand qualitative growth in HBM demand.
SK Hynix (000660, stock): As a leader in the HBM market, the growth of the AI industry will provide SK Hynix with continuous growth momentum. The advancement of AI technology will lead to demand for higher-performance HBM, which will positively impact the company's performance.
Hanmi Semiconductor (042700, stock): As a post-processing equipment company essential for HBM production, the growth of the AI semiconductor market directly benefits Hanmi Semiconductor. The realization of profitability in the AI industry will further highlight the importance of efficient production technology, strengthening the company's competitiveness.
HPSP (403870, stock): HPSP, which contributes to improving AI semiconductor yield with its high-pressure hydrogen annealing equipment, is also a key beneficiary of AI industry growth. As long as AI semiconductor demand remains robust, the company's growth is expected to continue.
Ethereum (ETH, crypto): Ethereum, as a smart contract platform, can be utilized for the development of AI-based applications and decentralized AI projects. The evolution of AI technology can enhance the expansion potential of the Ethereum ecosystem, leading to a positive impact.
COPPER (Copper, commodity): The construction of AI data centers and the expansion of related infrastructure will drive copper demand along with increased electricity demand. As the AI industry continues to grow, demand for industrial metals like copper is expected to steadily increase.
US10Y (US 10-year Treasury, bond): The long-term growth potential of the AI industry could increase global economic growth expectations, putting upward pressure on US 10-year Treasury yields. However, concerns about AI profitability realization could act as short-term uncertainty.

Future Scenarios

The AI industry is now moving past the era of 'blind investment' and entering an era of 'value demonstration'. An optimistic scenario is one where AI technology is successfully applied across various industries, revolutionizing productivity, and companies generate substantial profits through it. In this case, core technology and infrastructure companies related to AI can continue their sustained growth. A pessimistic scenario is one where the commercialization of AI technology is delayed or fails to generate expected profits, leading to growing investor disappointment and the bursting of a bubble. In this case, the stock prices of AI-related companies may undergo a correction. Investors should closely observe real-world applications of AI technology, companies' financial performance, and changes in the employment market, adopting a long-term perspective. Particular attention should be paid to companies that create tangible business value by leveraging AI technology.