AI capital expenditure supercycle is coming, Citi raises S&P 500 index target to 8,100 points.

Over the past few years, AI has been the most closely watched investment theme in global stock markets. As we enter 2026, the market focus in the second half of the year has gradually shifted from AI itself to whether companies are willing to continue making massive capital expenditures and whether these investments can truly translate into profit growth. Citi's latest U.S. equity outlook points out that the AI capital expenditure supercycle is gradually unfolding and will drive multiple industries including data centers, cloud platforms, power infrastructure, industrial technology, and healthcare innovation to benefit simultaneously. For investors, how to allocate across the AI ecosystem across markets has become a key strategy to capture the next wave of growth opportunities.

Citi Bullish on AI Capital Expenditure Supercycle, Raises S&P 500 Target to 8,100 Points

Even as the high-interest-rate environment has not fully ended, Citi remains optimistic about the U.S. stock market. Its latest "2026 H2 U.S. Equity Outlook" states that the core momentum driving continued market gains is no longer just the economic cycle, but a new wave of capital expenditure brought about by companies continuously increasing investment in AI, data centers, and digital infrastructure.

(Source: Citi)

Citi has therefore further raised its year-end target for the S&P 500 to 8,100 points from its previous estimate. Citi strategist Scott Chronert said that corporate earnings are entering a new growth phase, and AI capital expenditure is a key driver pushing up corporate profits. This trend not only benefits a handful of AI chip companies but is gradually spreading to multiple industries such as cloud services, industrial automation, power equipment, and healthcare technology.

AI Investment Focus Shifts to Data Centers and Infrastructure

Compared to the market's past focus on AI chip leaders, Citi believes that the real long-term growth opportunities have gradually extended to AI infrastructure. The report is particularly bullish on: data center operators, communication towers and network infrastructure, cloud platforms, and high-quality enterprise software. Companies such as Equinix, American Tower, and SBA Communications are considered key beneficiaries of the continuous growth in AI computing demand, indicating that AI investment has evolved from a single chip supply chain into a complete digital infrastructure ecosystem.

Cloud Software Remains a Core of AI Commercialization

Beyond hardware, enterprise software is also one of the areas Citi is most bullish on. The report points out that companies including Microsoft, MongoDB, and Snowflake, due to their cloud services, data management, and AI application capabilities, still have long-term competitive advantages. In contrast, some software companies with slowing growth or slower AI transformation pace are listed as less favored, reflecting that the market is beginning to pay more attention to whether companies truly have AI commercialization capabilities, rather than just staying at the AI concept stage.

AI Development Simultaneously Drives Demand for Industrial, Energy, and Power Equipment

AI development is not just a story for tech companies. As global data centers increase rapidly, massive computing demand also drives power management, cooling equipment, industrial automation, and energy infrastructure. Therefore, industrial equipment companies such as Eaton, Vertiv, and Parker-Hannifin are also highlighted by Citi as key sectors. In addition, grid upgrades, utilities, and energy infrastructure are also expected to benefit from the new investment opportunities brought by AI's rapidly increasing demand for electricity.

Healthcare Technology and Climate Tech Become Key Growth Themes Beyond AI

Beyond the tech industry, Citi also sees AI's long-term impact on other sectors. In healthcare, companies with capabilities in innovative drug development, advanced medical devices, and precision medicine are considered to have steady growth potential. On the other hand, companies in renewable energy, power equipment, and new energy are also benefiting from global infrastructure upgrades. This means AI is not just a single industry revolution but is gradually driving a reshuffle of the entire industrial chain.

The Market Begins to Redefine AI Investment Winners

Citi believes that the biggest feature of the new AI supercycle is that capital no longer flows indiscriminately to all tech stocks, but places greater emphasis on whether companies are truly participating in the AI ecosystem. The market may increasingly prefer AI infrastructure, cloud platforms, data centers, industrial automation, power equipment, and precision medicine, while companies with business models lacking growth momentum and unable to benefit from AI development may gradually be marginalized by market capital. Therefore, in addition to focusing on popular AI concept stocks, investors need to build a complete global industry layout.

Gate Stock Officially Launched, Building a Global AI Investment Platform

With the rapid development of AI, technological innovation, and global capital markets, more and more investors want to allocate to AI concept companies across different markets. Gate has recently officially launched its stock trading service, offering not only an App but also a Web platform, providing a more complete global stock investment experience.

Currently, Gate Stock supports over 12,500 stocks and ETFs, covering more than 10,000 U.S. stocks and ETFs, over 1,500 Hong Kong stocks, and the top 1,000 listed companies on the Korea Exchange (KRX) by market cap. Whether it's AI chips, data centers, cloud platforms, semiconductor supply chains, or Asian tech leaders, all can be allocated through the same platform.

Invest in Global Stocks with USDT, Seize AI Ecosystem Allocation Opportunities

Compared to traditional overseas brokerages, Gate Stock directly supports investing in stocks using USDT. Investors do not need to open an overseas brokerage account, manually exchange for USD, HKD, or KRW, or manage assets across different platforms. They only need to transfer USDT to their stock account to participate in U.S., Hong Kong, and Korean stock trading, significantly lowering the barrier to global investment. The platform also uses a unified account structure, facilitating centralized management of stocks and digital assets, improving overall investment efficiency.

Fractional Share Trading and 24/7 Trading Enhance Global Investment Flexibility

To enhance investment convenience, Gate Stock offers fractional share trading with a minimum of 0.01 shares, allowing investors to participate in high-priced AI concept stocks with lower capital. Additionally, 197 popular stocks currently support 24/7 round-the-clock trading, covering U.S., Hong Kong, and Korean stocks, including Apple, NVIDIA, Microsoft, Meta, Amazon, Tesla, Samsung Electronics, SK Hynix, Tencent Holdings, and Xiaomi Group. Investors can adjust their holdings at any time based on global market dynamics, capturing investment opportunities from corporate earnings, major announcements, and the latest AI industry developments.

Conclusion

Citi's latest report indicates that the AI capital expenditure supercycle has gradually begun. In the future, beneficiaries will not only be chip leaders but the entire AI ecosystem, including multiple industries such as data centers, cloud platforms, industrial technology, energy equipment, and healthcare innovation. For investors, rather than focusing only on a few popular AI concept stocks, it is better to seize long-term growth opportunities across different industries and markets through global, diversified asset allocation.

Gate Stock now supports over 12,500 stocks and ETFs, covering three major markets—U.S., Hong Kong, and Korean stocks—and offers features such as direct USDT trading, 0.01-share fractional investing, unified account management, and 24/7 round-the-clock trading. It helps investors participate in the global capital market under the AI supercycle with lower barriers and higher efficiency, building a more resilient long-term investment portfolio.