The logic of ongoing AI-driven power shortages continues to unfold, driving a surge in demand for gas turbines. The power ETF “Bosera (561700)” fell nearly 2%. Seize the opportunity to build positions in the sector at low levels.

On the news front, the industry logic that “computing power’s limit is electricity” continues to unfold, and the gas turbine industry is entering a high boom cycle. The delivery schedules for gas turbine products from international giants like Siemens Energy have been scheduled through 2030. The large-scale construction of Artificial Intelligence Data Centers (AIDC) is driving up electricity demand, and gas turbines are expected to become the preferred solution for main power sources in AIDC due to their quick installation advantages.

Additionally, the recently released “Energy Storage Industry Research White Paper 2026” shows that by 2030, China’s cumulative installed capacity of new energy storage will exceed 370 million kilowatts, more than 1.5 times the end of the 14th Five-Year Plan. The white paper indicates that as the proportion of new energy generation continues to increase, the demand for long-duration regulation resources in the power system is becoming more urgent. It is expected that by 2030, China’s average duration of new energy storage will approach 3.5 hours, opening an industrialization window for flow batteries, compressed air, and other long-duration energy storage technologies. Energy storage is accelerating from an auxiliary regulation resource to a fundamental part of the power system.

As of 11:14 on April 3, 2026, the CSI All Share Power Utility Index (H30199) decreased by 1.90%. Among constituent stocks, there were mixed gains and losses, with Jinko Solar leading at +1.91%, China General Nuclear Power Corporation (CGN) up 0.66%, and Yunnan Energy Holding up 0.55%; Leshan Electric Power fell 9.65%, Guangxi Energy down 9.53%, and Xingmei Electric Power down 8.23%. The Power ETF Boshi (561700) fell by 1.84%, with the latest price at 1.12 yuan. Looking at a longer timeframe, as of April 2, 2026, the Power ETF Boshi has increased by a total of 8.86% over nearly three months.

Regarding liquidity, the Power ETF Boshi had an intraday turnover rate of 1.01%, with a transaction volume of 3.4276 million yuan. Over the longer term, as of April 2, the average daily trading volume over the past year was 6.9029 million yuan.

In terms of capital inflow, the latest net capital outflow from the Power ETF Boshi was 1.15 million yuan. Over the past 10 trading days, there were 8 days of net capital inflow, totaling 27.6722 million yuan, with an average daily net inflow of 2.7672 million yuan.

The Power ETF Boshi closely tracks the CSI All Share Power Utility Index, which reflects the overall performance of securities from different industries within the CSI All Share Index. It provides investors with analytical tools by classifying the CSI All Share Index components into 11 primary industries, 35 secondary industries, over 90 tertiary industries, and more than 200 quaternary industries. All securities within each industry are used as samples to compile the index, forming the CSI All Share Industry Index.

Data shows that as of March 31, 2026, the top ten weights in the CSI All Share Power Utility Index (H30199) are China Yangtze Power, China Nuclear Power, Three Gorges Energy, State Power Investment Corporation, Everbright Energy, China General Nuclear Power, State Investment Electric Power, Huaneng International, Sichuan Investment Energy, and Shanghai Electric Power, collectively accounting for 48.75% of the index.

The Power ETF Boshi (561700), with off-market connection (Bosch CSI All Share Power ETF Launch-Style Connection A: 017481; Bosch CSI All Share Power ETF Launch-Style Connection C: 017482).

(Note: The individual stocks mentioned are for illustrative purposes only and do not constitute actual investment advice. Funds carry risks; investments should be made cautiously.)

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Risk warning: Funds differ from bank savings and bonds, which are fixed-income financial instruments. Different types of funds have different risk-return profiles. Investors may share in the gains from fund investments or bear the losses. Past performance does not predict future results. Investors should understand the risk-return characteristics of the fund, consider their own investment objectives, time horizon, experience, and risk tolerance, and make cautious decisions and bear the risks themselves. Do not rely on sales behaviors or promotional materials that do not comply with legal and regulatory requirements.