Summary of Key Points
The current securities market exhibits a “K-shaped” divergence: new economies represented by AI are on the rise, while traditional industries and old models continue to decline. The logic of venture capital investment has shifted from avoiding risks to embracing valuable risks, with a focus on future-oriented sectors. In the short term, there are signs of bubbles due to abundant funds (such as share transfers, doubling valuations, and story-based investments). However, institutions generally have a positive outlook for the long-term trends of future industries like AI, especially in their specialized applications. Institutional tools (such as limited partnerships and the registration-based IPO system) can help mitigate investment uncertainties.
Detailed Analysis
1. Market Trends in a “K” Shape
Wang Zhongmin describes the current market as one where everything is declining except for AI, indicating that there are two distinct paths: new economies like AI are thriving, while traditional industries (such as old manufacturing and outdated business models) are declining, resembling the two diagonal lines of the letter “K.” This is because AI is the hottest new sector, attracting capital and talent. Traditional industries either have reached their growth limits or cannot keep up with technological changes, thus being neglected by the market.
2. A Major Shift in Venture Capital Thinking: From Avoiding Risks to Embracing Valuable Risks
Previously, venture capitalists focused on avoiding mistakes. Now, Wang Zhongmin argues that the core approach has changed—investors should actively identify and embrace valuable risks. What constitutes a valuable risk? It refers to investing in future industries that are not yet established; although these areas are uncertain, they have the potential for significant returns. For example, investing in electric vehicles might have been high-risk ten years ago, but now it is considered a valuable opportunity.
3. Beware of Short-Term Bubbles
This year, there has been an increase in funds, with social security funds and national innovation funds being established across various regions. This has led to two outcomes: it has helped early-stage development of hard-tech companies, and the shares of high-quality projects have started to circulate widely (as mentioned by Zhu Shan). This is a sign of a bubble. Even more strikingly, Fan Yin noted that investment activity accelerated in the first half of the year, with many institutions entering the market before conducting thorough due diligence, and story-based investments became common, with valuations doubling within months (such as in the semiconductor sector). This is similar to past speculative trends where investors rushed to invest for fear of missing out, often resulting in chaotic outcomes.
4. Long-Term Opportunities Lie in AI Specialized Applications
Despite short-term bubbles, institutions are optimistic about the long term. Li Yajun uses the “Huang Renxun five-layer cake” model to explain the AI industry chain:
- Bottom Layer: Power sources (such as silicon carbide and IGBTs, which have seen significant price increases recently);
- Second Layer: Chips;
- Third Layer: Intelligent computing centers (being built across regions);
- Fourth Layer: Large models (with established frameworks, such as GPT and Wenxin Yiyán);
- Fifth Layer: Specialized applications (such as the practical use of AI in healthcare, education, and industry).
He believes that the greatest opportunities lie in the fifth layer—although it is currently a weak link, once these specialized applications take off, AI will truly explode in popularity. For instance, when AI helps doctors analyze CT scans or optimize factory production, it transforms from a concept into a profitable business.
5. Institutional Tools to Mitigate Risks
Facing the uncertainties of future industries, Wang Zhongmin emphasizes that there are various institutional tools available to mitigate risks. These include limited partnerships (where investors pool funds and share risks), private equity funds (managed by professional organizations), structures with different voting rights for founders, and the registration-based IPO system (which makes company listings more flexible). These mechanisms allow capital to absorb potential failures, preventing companies from collapsing due to investment mistakes.
Conclusion
The market is clearly divided, with AI being the current hot topic but with short-term bubbles. In the long run, specialized applications will be the key drivers of growth. Venture capitalists should dare to invest in future industries, and institutional tools can help manage risks. For individuals interested in this field, it’s important to focus on practical, implementable applications rather than short-term price fluctuations, as only sustainable businesses will create lasting value.