What Happened

Recent earnings reports from big tech companies have highlighted both the growth trajectory and the practical challenge of profitability within the global AI industry. Despite IBM's Q1 earnings showing a 51% growth in its core mainframe hardware revenue, exceeding expectations, its stock price declined due to investor concerns about the potential threat of AI and weak software revenue. IBM's CEO stated that uncertainties, such as the Iran war, are weighing on the company's outlook and expressed concerns about intensifying competition, noting that other companies would quickly catch up to Anthropic's Mythos AI model performance. ServiceNow also saw its stock price plunge by 14% due to investor concerns over subscription revenue hit by the Iran war and margin outlook, despite its continued expansion of AI services. In contrast, Broadcom's stock price hit an all-time high, directly benefiting from AI infrastructure build-out, buoyed by Google's announcement of new TPUs.

Why It Matters

The AI industry has attracted massive investments over the past few years, driven by innovation and growth expectations. However, it appears the market has now begun a rigorous evaluation of the 'commercialization' phase, moving beyond mere technological development to actual profitability. The cases of IBM and ServiceNow demonstrate that AI technology does not immediately lead to increased revenue across all business segments, and particularly in the software and services sectors, macroeconomic uncertainties, geopolitical risks, and intense competition can directly impact profitability. Conversely, Broadcom's strong performance proves robust growth in the semiconductor and related hardware sectors, which serve as core infrastructure in the AI era. This suggests that fortunes may vary across different technology stacks within the AI industry, signaling to investors that it is time to more carefully evaluate not only the potential of AI technology itself but also companies' capabilities and business models to convert it into profit.

Impact on the Korean Market

These trends in the global AI industry have significant implications for the Korean market. Korea has strengths in AI semiconductors and related hardware, allowing it to expect indirect benefits from expanded AI infrastructure investment, similar to Broadcom's case. However, domestic companies in the AI software and services sectors may face intensifying global competition and pressure for profitability validation. In particular, as geopolitical risks affect global companies' IT spending, it is crucial for domestic companies to reduce their sensitivity to such external variables and secure stable growth drivers. Domestic semiconductor companies will be positively impacted by the increasing demand for AI accelerators and High Bandwidth Memory (HBM), but AI service companies will require greater efforts to diversify their revenue models and enhance competitiveness.

Key Stock Analysis

  • 005930 (Samsung Electronics): Can directly benefit from increased demand for AI semiconductors (HBM). However, it also has high sensitivity to the overall competitive environment in the foundry and memory businesses and fluctuations in global IT demand. (sentiment: positive)
  • 000660 (SK Hynix): As a leader in the HBM market, it is expected to see improved performance due to increased demand for AI infrastructure build-out. The growth of the AI industry is a very positive factor for SK Hynix. (sentiment: positive)
  • 042700 (Hanmi Semiconductor): As a manufacturer of essential post-processing equipment for HBM production, it is expected to directly benefit from the growth of the AI semiconductor market. (sentiment: positive)
  • 035420 (NAVER): Actively developing AI services, but intensifying competition with global big tech companies and securing profitability for AI services are key challenges. (sentiment: neutral)
  • 035720 (Kakao): Similar to NAVER, it is exploring the expansion of services utilizing AI technology, but concerns about building revenue models and the competitive environment persist. (sentiment: neutral)
  • COPPER (Copper): An essential raw material for AI data center construction and power infrastructure expansion, the growth of the AI industry can increase copper demand, positively impacting its price. (sentiment: positive)
  • BTC (Bitcoin): There is a possibility that AI technology advancements could converge with blockchain and cryptocurrency technologies, and expectations for technological innovation could indirectly have a positive impact on the cryptocurrency market. (sentiment: neutral)

Future Scenarios

The AI industry will continue to grow rapidly, but the fruits of that growth will not be distributed equally among all companies. An optimistic scenario is that AI technology will be successfully commercialized across various industries, creating new markets and leading to a full-scale improvement in the profitability of related companies. In particular, demand for semiconductors and hardware for AI infrastructure build-out is expected to remain robust. However, a pessimistic scenario is that AI service revenue models do not stabilize as quickly as expected, and intensifying global competition, stricter regulations, and geopolitical risks hinder companies' AI investments and profitability. As IBM's CEO mentioned, the possibility of AI technology gaps narrowing rapidly, leading to even fiercer competition, cannot be ruled out.

Investors must carefully analyze which areas within the AI industry are attracting investment and which companies are generating actual profits. While companies related to AI semiconductors and core infrastructure are expected to maintain relatively stable growth, it is crucial for AI software and service companies to possess differentiated technological capabilities and clear revenue models. Future announcements regarding AI investment plans and earnings comments from big tech companies, along with data on actual AI technology application cases and their economic effects, will serve as important indicators for judgment.