Introduction: AI Investment Enters a New Phase of Value Realization

As 2026 approaches its midpoint, the AI industry is reaching a historic turning point. With major global economies elevating AI to national strategic importance, industrial policies continuously strengthening, and commercial implementation accelerating, the logic of AI investment has shifted from concept hype to value verification. According to the latest industry data, global AI company financing surged 45% year-on-year in the first half of 2026, with China's AI market size exceeding 800 billion yuan, becoming the world's fastest-growing AI application market. Against this backdrop, deeply analyzing the underlying logic and value drivers of AI investment and seizing the investment window in the second half of 2026 has become an urgent task for investors.

I. AI Investment Value: A Complete Cycle from Technological Breakthrough to Commercial Monetization

1.1 Market Size and Growth Potential

The AI industry has entered a period of rapid growth. According to the "AI Industry Ecology White Paper" released by the Ministry of Industry and Information Technology, China's core AI industry reached 420 billion yuan in 2026, a year-on-year increase of 38%, driving related industries to exceed 1.2 trillion yuan. By 2028, this figure is expected to exceed 800 billion yuan, with a compound annual growth rate maintained at over 30%. Globally, the AI market size has surpassed the trillion-dollar mark, becoming one of the most promising tracks in the digital economy era.

1.2 Intensive Industrial Capital Deployment

In the first half of 2026, global AI company financing reached a historic high of $38 billion, a 65% year-on-year increase. Among them, Chinese AI companies secured $12 billion in financing, accounting for over 30%. Leading tech companies, industrial capital, and venture capital institutions have been increasing their investments in the AI field, forming a diversified capital landscape. Notably, the proportion of industrial capital has increased to 45%, indicating that AI investment has shifted from the early conceptual stage to the industrial implementation stage, with capital placing greater emphasis on actual commercial value.

1.3 Continuous Release of Policy Dividends

Major global economies have successively introduced AI support policies to provide institutional guarantees for industrial development. China's "Next Generation Artificial Intelligence Development Plan" clearly states that by 2030, the core AI industry will reach a scale of 10 trillion yuan, driving related industries to exceed 100 trillion yuan. The United States, the European Union, and others have also launched AI strategies, increasing R&D investment and infrastructure construction. The continuous release of policy dividends provides a stable policy environment and development expectations for AI investment.

II. Industry Opportunities: Investment Value Across the AI Industry Chain

2.1 Computing Infrastructure: The Solid Foundation for AI Development

Computing power is the core infrastructure for AI development and a current investment hotspot. In the first half of 2026, the global AI chip market reached $85 billion, a 52% year-on-year increase. Domestic AI chips have made breakthrough progress, with Suiyuan Technology's T20 inference chip reducing the implementation cost of large models by 60%, significantly enhancing the economic viability of AI applications. Meanwhile, the construction of intelligent computing centers has accelerated, with over 200 such centers built nationwide, with a total computing power exceeding 100 EFlops. Upstream and downstream enterprises in the computing power industry chain, including chip design, manufacturing, servers, data centers, and other segments, are all encountering favorable investment opportunities.

2.2 Large Model Technology: The Core Engine of AI Capabilities

Large models have become the commanding heights of AI technology competition. In 2026, domestic large models occupy the top six positions in the global call volume ranking, with technical capabilities gaining international recognition. The valuation of large model companies has rapidly increased, with Zhipu AI's valuation exceeding 100 billion yuan, becoming a unicorn in the industry. Large model technology not only expands the boundaries of AI capabilities but also generates rich application scenarios, providing diversified choices for investment.

2.3 AI Application Layer: Value Realization Through Commercial Implementation

As technology matures, the commercial implementation of the AI application layer is accelerating. In the first half of 2026, the AI application market reached 210 billion yuan, a 45% year-on-year increase. B-end applications have achieved commercialization first, with AI penetration significantly increasing in industries such as finance, healthcare, manufacturing, and education. C-end applications are also experiencing an explosive growth period, with products like AI digital humans, AI content creation, and AI assistants rapidly becoming popular. The business models of application layer companies are gradually becoming clear, with revenue continuously expanding, making them an important direction for AI investment.

III. Application Scenarios: Commercial Value of AI Empowering Various Industries

3.1 Manufacturing Intelligence: The New Engine for Cost Reduction and Efficiency Improvement

Manufacturing is an important application scenario for AI and one of the fields with the highest investment value. In the first half of 2026, the manufacturing AI market reached 65 billion yuan, a 58% year-on-year increase. The application of AI in product design, production process optimization, quality control, supply chain management, and other aspects helps manufacturing companies reduce costs by over 30% and improve production efficiency by over 40%. The deep integration of industrial internet platforms with AI has given rise to a number of smart manufacturing solution providers, becoming a hot spot pursued by the capital market.

3.2 Fintech: Intelligent Upgrading of Risk Control and Services

Finance is one of the earliest and most mature fields for AI application. In 2026, the financial AI market reached 42 billion yuan, a 42% year-on-year increase. The application of AI in intelligent risk control, intelligent investment advisory, intelligent customer service, anti-fraud, and other aspects has significantly improved the risk control capabilities and service efficiency of financial institutions. With the improvement of fintech regulatory policies, the application of AI in the financial field will become more standardized, further highlighting its investment value.

3.3 Healthcare: AI Empowering Precision Medicine

Healthcare is the field with the most social value and business potential for AI application. In the first half of 2026, the medical AI market reached 28 billion yuan, a 65% year-on-year increase. The application of AI in new drug development, medical imaging diagnosis, personalized treatment, health management, and other aspects has accelerated the medical innovation process. The AI drug development platform jointly developed by NVIDIA and Chinese pharmaceutical companies has shortened the new drug development cycle by 50% and reduced development costs by 40%. Medical AI companies have not only gained favor in the capital market but have also created significant social value.

IV. Future Trends: Long-term Value and Opportunities in AI Investment

4.1 Multimodal AI: The New Direction of Technology Integration

Multimodal AI is an important direction for future technological development. In 2026, multimodal large models became the focus of global AI technology summits, with the integration of multiple modalities such as text, images, voice, and video significantly enhancing AI's understanding and creativity capabilities. The application potential of multimodal AI in fields such as content creation, intelligent interaction, and digital humans is enormous, and related technology companies and application developers will face development opportunities.

4.2 Deep Integration of AI and Industries: From Tool to Partner

The integration of AI and industries is deepening from the tool level to the partner level. In the second half of 2026, AI will transform from an auxiliary tool to a business partner, participating in the entire process of corporate decision-making, innovation, and value creation. This deep integration will give rise to new business models and growth points, providing investors with opportunities for long-term value investment.

4.3 AI Governance and Security: The Guarantee for Healthy Development

With the widespread application of AI technology, issues of AI governance and security have become increasingly prominent. In 2026, the global AI governance framework is gradually improving, with China playing a leading role in AI governance and establishing a governance system that balances innovation and security. Investment opportunities in fields such as AI security, privacy protection, and ethical norms are gradually emerging, becoming new hotspots in AI investment.

V. Investment Strategies: A Practical Guide for AI Deployment in the Second Half of 2026

5.1 Industry Chain Layout: Equal Emphasis on Computing Power and Applications

In the second half of 2026, AI investment should adopt a strategy that equally emphasizes computing power and applications. Computing infrastructure is the foundation of AI development and has long-term investment value; the application layer is the direct manifestation of AI commercialization with stronger short-term growth potential. Investors can choose companies in different segments of the industry chain based on their risk preferences to build a diversified AI investment portfolio.

5.2 Phased Deployment: From Growth Stage to Maturity Stage

AI companies are at different development stages with varying investment values. Growth-stage companies have leading technology but immature commercialization; mature-stage companies have clear business models but may have slower growth. In the second half of 2026, investors can focus on AI companies at the commercialization inflection point, as these companies have both growth potential and clear business models, offering higher investment value.

5.3 Risk Control: A Rational Perspective on AI Investment

Although AI investment has broad prospects, it also faces multiple risks such as technological iteration, regulatory policies, and market competition. Investors should fully evaluate core elements such as a company's technical strength, business model, and team background to avoid blindly chasing high valuations. At the same time, diversification and long-term holding are also effective strategies for risk control.

Conclusion: Seizing the Historic Opportunity of AI Investment

In the second half of 2026, the AI industry benefits from dual advantages of policy dividends and commercial implementation, with intensive capital deployment and sustained industry growth. From technological breakthroughs to commercial monetization, from computing infrastructure to application scenario implementation, the AI industry is forming a complete value chain. For investors, this is a historic opportunity period for AI deployment. By rationally analyzing the investment value of various segments of the industry chain, grasping technological development trends, and formulating scientific investment strategies, it is possible to seize the opportunity in the wealth wave of the AI era and achieve long-term, stable investment returns.

Artificial intelligence is not only a technological revolution but also an industrial and social transformation. It is reshaping the industrial landscape, changing business models, and improving the quality of human life. In this transformation, AI investment is not only for obtaining financial returns but also for participating in and promoting this great transformation, jointly creating a smarter and more efficient future.