The New Favorite in Computing Power: The Launch of the GEM Computing Power ETF – How Can Ordinary People Understand This AI Boom?
Hello everyone, I’m your financial analyst. Today, we’re talking about a new player that has just made its debut in the capital market: the GEM Computing Power ETF (E Fund Code: 158050).
For many non-professional investors, terms like “ETF,” “index,” and “weight limit” can be confusing. Don’t worry; let’s break down these complex financial terms into plain language and explain what makes this new product special, what the logic behind it is, and how it relates to you and your wallet.
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Summary of the Key Points: Understanding the News in One Sentence
Simply put, E Fund launched a stock fund (ETF) on September 18th that specifically invests in “AI computing power infrastructure.” This fund primarily buys shares of companies on the GEM (Growth Enterprise Market) that produce servers, chips, networks, storage, and other essential components for AI.
Its main highlights are twofold:
1. High Flexibility: Since it’s part of the GEM, the daily price fluctuation limit is 20% (commonly referred to as “20CM”), which means it can rise or fall sharply, making it suitable for investors with a higher risk tolerance.
2. Comprehensive and Balanced Coverage: It doesn’t focus on just one giant company but invests in all segments of the computing power industry chain—from chips to servers to data centers—while also limiting the weight of any single company to avoid putting all your eggs in one basket.
Data shows that this index has grown by nearly 50% in the past year and has nearly quadrupled since the end of 2022, with optimistic performance expectations for the coming years.
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In-Depth Analysis: Understanding the GEM Computing Power ETF from Five Perspectives
To help you fully grasp this, let’s delve into the details from the following five aspects:
1. What Does It Invest In? – Companies That Build the Infrastructure for AI
Many people think computing power means buying graphics cards, but that’s not quite right. Computing power is a vast ecosystem:
- Computing: This refers to the engines (CPU and GPU chips).
- Networks: The highways (optical modules, switches) that enable fast data transfer.
- Storage: The warehouses (hard drives, memory) that store and retrieve data quickly.
- Operation and Maintenance/IDCs: The parking lots and gas stations (data centers) that power, cool, and maintain these devices.
The GEM Computing Power Infrastructure Index tracked by this ETF selects companies on the GEM that are involved in these infrastructure tasks. It doesn’t invest in companies that develop AI software or applications (such as chatbots) but rather in those that provide the necessary components. In the AI boom, the companies that supply the basic building blocks often have the most stable profits.
2. Why the GEM? – The Double-Edged Sword of High Flexibility
The news mentions a key feature: the high flexibility of 20% price fluctuations.
- What is 20CM?
In the A-share market, the daily price limit for main board stocks is 10%, while the GEM and STAR Market (Science and Technology Innovation Board) have a limit of 20%. This means these stocks can rise or fall by up to 20% in a single day, either due to market optimism or panic.
- Implications for Ordinary Investors:
- Advantages: They can experience rapid gains during the early or accelerating phases of the AI market.
- Risks: The volatility can be significant; sharp daily price changes might cause anxiety.
- Conclusion: This ETF is suitable for investors with a high risk tolerance who are confident in the long-term success of AI and are willing to accept short-term fluctuations. If you prefer stability, this might not be the right choice for you.
3. The Index’s Smart Composition: Preventing One Company from Dominating
This is a crucial technical aspect of the ETF:
- Weight Limits: The weight of processors and computing equipment is limited to 10%, while other sectors are limited to 3%.
- Why These Limits?
In the computing power industry, chips (like GPUs) are crucial. Without weight limits, the index could heavily favor a few chip companies. If these companies underperform or face technical challenges, the entire index could suffer.
- Benefits of Balanced Allocation:
By restricting weights, fund managers force investments to spread across various sectors, such as communication equipment, PCBs, computing power leasing, storage, servers, IDC operations, and AI power supplies.
- Metaphor: It’s like a buffet where you’re not allowed to focus only on steak (chip weights); you must also eat vegetables, fruits, and desserts (other sectors). This ensures a more stable performance even if the steak isn’t good on a particular day.
- Result: This balance helps the index reflect the overall health of the computing power industry chain, reducing the risk from fluctuations in any one sector.
4. How Robust Are the Performance Expectations? – Growth Logic Behind the Numbers
The news provides impressive figures:
- Historical Performance: A 49.8% increase in the past year, and a 390.2% increase since the base date.
- Future Expectations: Expected main business revenue growth of 71.72% and net profit growth of 177.62% by 2026.
- Explanation:
- High Growth is Normal: A net profit growth rate of nearly 180% is uncommon in mature industries but is typical for growth stocks in the AI infrastructure sector, indicating strong market demand.
- Reasons for the Optimism:
1. Training Demand: AI models are becoming larger, requiring massive computing power.
2. Inference Demand: As AI agents and applications become more widespread, more computational resources are needed for each interaction.
3. Increasing Complexity: Future AI tasks will be more demanding in terms of computing power.
- Caution: High expectations also mean high valuations; if actual performance falls short, stock prices may come under pressure.
5. E Fund’s Comprehensive AI Hardware Portfolio
The news also mentions that E Fund already has a series of AI hardware ETFs, covering chips, semiconductor equipment, and other related areas.
- What Does This Mean?
E Fund has established a comprehensive product portfolio in the AI hardware sector.
- Benefits for Investors:
- Diverse Options: You can invest solely in computing power infrastructure, chips, or semiconductor equipment.
- Expertise: The fund’s ability to launch multiple ETFs in this area shows its in-depth understanding and ongoing research.
- Portfolio Diversification: Smart investors can create a mix of ETFs, such as a combination of computing power and chip ETFs, to diversify their investments and cover different aspects of the AI hardware industry.
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Recommendations for Ordinary Investors
1. Recognize the Risks: The GEM Computing Power ETF is highly volatile and not suitable for conservative investors. If you can’t handle 20% daily fluctuations, proceed with caution.
2. Focus on the Long-Term Trend: AI computing power is a promising sector for the next 3–5 years, but short-term stock prices are influenced by market sentiment. Consider using dollar-cost averaging or gradual purchases to avoid buying at high prices.
3. Don’t Rely Solely on Past Performance: While past gains are impressive, future returns depend on actual performance. Keep an eye on the pace of AI application development; if there are no significant new products, demand for computing power may slow down.
4. Diversify Your Investments: If you’re bullish on AI, consider spreading your funds across different ETFs (e.g., computing power, chips, and applications) or pairing them with defensive assets to balance your portfolio.
In Summary:
The GEM Computing Power ETF (E Fund 158050) is a high-elasticity, comprehensive, and growth-oriented investment tool for AI infrastructure. It’s suitable for investors who are confident in the long-term success of AI and willing to tolerate significant short-term fluctuations. While it offers the potential for high returns, it also comes with higher risks. Be sure to manage your risk carefully.