AI Chip Arms Race Intensifies: In-depth Analysis of US Tech Stock Investment Strategies for the Second Half of 2026

AI Chip Arms Race Reshaping US Tech Stock Landscape

In 2026, the global technology industry is undergoing profound changes driven by artificial intelligence, with the US tech stock market serving as a global benchmark, presenting unprecedented investment opportunities and challenges. As AI giants like OpenAI and Anthropic continue to push technological boundaries, the "arms race" among chip manufacturers such as NVIDIA, AMD, and Intel has intensified, not only reshaping the value logic of tech stocks but also bringing new investment perspectives to investors.

Explosive Growth in AI Chip Market, Tech Stock Valuation Logic Reconstructed

According to market data, the global AI chip market size grew by over 85% year-on-year in the first half of 2026, with expectations to exceed the $200 billion mark for the full year. This explosive growth is primarily driven by dual demand from large language model training and inference. Wall Street analysts generally agree that AI chips have evolved from simple hardware products to core infrastructure of technology ecosystems, with strategic value far exceeding traditional semiconductors.

In the US stock market, NVIDIA continues to lead the AI chip market with its CUDA ecosystem and Hopper architecture GPUs, with market capitalization exceeding $2 trillion. However, AMD's strong rise with its MI450 series chips is eroding NVIDIA's market share, with its stock price accumulating a gain of over 60% in 2026. Meanwhile, Intel is attempting to return to the top tier of the chip market through acquiring Tower Semiconductor and accelerating its self-developed AI chip strategy.

Southeast Asian Capital Accelerating US Tech Stock Allocation

Notably, Southeast Asian sovereign wealth funds and family offices are rapidly increasing their allocation to US tech stocks, particularly companies in the AI industry chain. Singapore's Government Investment Corporation (GIC) and Malaysia's Khazanah significantly increased their holdings in tech giants like NVIDIA, AMD, and Microsoft in the first half of 2026, with allocation ratios increasing by approximately 15 percentage points compared to the beginning of the year.

The flow of Southeast Asian capital into US tech stocks reflects the urgent demand for AI technology in the region's digital economy transformation. Countries like Thailand, Vietnam, and Indonesia are accelerating smart city construction and industrial digitization, providing broad application scenarios for AI technology. Southeast Asian investors are optimistic about the long-term growth potential of US tech stocks while reducing single-market risks through diversified allocation.

Earnings Season Performance Divergence, Tech Stocks Entering "Realization Phase"

The second quarter 2026 US earnings season shows clear divergence within tech stocks. On one hand, AI chip manufacturers and cloud service providers exceeded earnings expectations, driving stock prices higher; on the other hand, traditional tech companies face growth bottlenecks with increasing valuation correction pressure. This divergence reflects the market's reassessment of AI technology commercialization.

NVIDIA's second-quarter revenue grew by 89% year-on-year, with net profit increasing by 102%, far exceeding market expectations. AMD also performed impressively, with data center business revenue growing by 75%, of which AI chips contributed over 60% of the growth. However, some software and internet companies, while benefiting from AI technology, struggle to convert technological advantages into substantial performance growth in the short term, leading to increased stock price volatility.

US Tech Stock Investment Strategy: Balancing "Pickaxe Sellers" and "Gold Diggers"

Facing AI-driven tech stock trends, investors need to reassess their investment strategies. Wall Street analysts recommend a "dual-track" approach: on one hand, allocate to "pickaxe seller" companies like AI chip manufacturers to share infrastructure construction benefits; on the other hand, select "gold digger" companies at the application layer to capture growth opportunities from AI technology commercialization.

In terms of specific stock selection, investors should focus on the following types of companies: first, AI chip manufacturers with technical barriers and ecosystem advantages; second, cloud service providers with extensive AI application scenarios and data; third, software companies that can effectively integrate AI technology into products and achieve commercialization; fourth, semiconductor equipment manufacturers benefiting from AI technology adoption.

Risk Warnings: Valuation Bubbles and Policy Regulatory Concerns

Despite the promising prospects of AI tech stocks, investors must also be vigilant about potential risks. First, valuations of some AI chip manufacturers have reached historical highs, posing bubble risks. Second, the US government is strengthening export controls and investment reviews on AI technology, which may hinder the global expansion of related companies. Additionally, AI technology commercialization may face technical bottlenecks and ethical challenges, affecting long-term development.

Technically, the NASDAQ index has risen for six consecutive months, with the RSI indicator approaching overbought territory, increasing short-term correction pressure. Investors should closely monitor changes in Federal Reserve monetary policy, China-US tech competition developments, and AI technology commercialization progress, adjusting portfolio structures in a timely manner.

2026 Second Half US Tech Stock Investment Outlook

Looking ahead to the second half of 2026, AI technology will continue to lead US tech stock trends. As large model parameter scales expand and inference costs continue to decline, AI application scenarios will further expand, providing growth momentum for tech stocks. Continuous inflow of Southeast Asian capital into the US tech market will provide valuation support.

In terms of investment timing, the third quarter earnings season will be a critical window to test the effectiveness of AI technology commercialization. Investors should focus on quarterly guidance from chip manufacturers like NVIDIA and AMD, as well as the AI business revenue share of cloud service providers like Microsoft and Google. In the fourth quarter, with the restart of corporate IT budgets, demand for AI-related hardware may experience a new round of growth.

For Southeast Asian investors, they can indirectly allocate to tech stocks through US ETFs and ADRs to reduce individual stock selection risks. Meanwhile, focus on companies benefiting from regional digital economy transformation, such as Thailand's True Digital and Vietnam's Vingroup technology subsidiaries, to grasp "AI+localization" investment opportunities.

Conclusion: Seizing New AI Era Tech Stock Investment Opportunities

AI technology is reshaping the global economic landscape at an unprecedented pace, with US tech stocks as the core carrier of this transformation continuing to attract global capital attention. Investors need to deeply understand the value distribution of the AI industry chain, balance short-term fluctuations with long-term trends, and seize new investment opportunities brought by the AI era within risk-controllable parameters.

With the acceleration of Southeast Asian digital economy development and growing regional wealth management needs, the trend of Southeast Asian capital allocation to US tech stocks will continue. For professional investors, in-depth research on AI technology commercialization paths and precise grasp of industry chain value transfer patterns will be key to achieving excess returns.