---
title: "The AI industry chain is experiencing low-level fluctuations; pay attention to the investment opportunities in the E Fund Artificial Intelligence ETF (159819) and the E Fund CSI STAR&CHINEXT Artificial Intelligence ETF (159140)"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/281008533.md"
description: "On March 30th, the AI industry chain experienced low-level fluctuations, with active sectors including communication equipment and IT services, while the chip design sector saw significant declines. The CSI Artificial Intelligence Theme Index fell by 0.4%, the CSI STAR&CHINEXT Artificial Intelligence Index decreased by 0.5%, and the SSE STAR Artificial Intelligence Index dropped by 1.1%. The China Academy of Information and Communications Technology pointed out that the demand for intelligent computing power is transitioning from large-scale expansion to efficiency enhancement, with AI computing nodes becoming core computing power units, significantly optimizing the training efficiency of large AI models through high-speed interconnection technology that integrates multiple computing power chips"
datetime: "2026-03-30T11:13:12.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/281008533.md)
  - [en](https://longbridge.com/en/news/281008533.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/281008533.md)
---

# The AI industry chain is experiencing low-level fluctuations; pay attention to the investment opportunities in the E Fund Artificial Intelligence ETF (159819) and the E Fund CSI STAR&CHINEXT Artificial Intelligence ETF (159140)

On March 30th, the AI industry chain experienced low-level fluctuations, with internal performance showing some divergence. Sectors such as communication equipment and IT services were active, while the chip design sector saw significant declines. On the index level, the CSI Artificial Intelligence Theme Index fell by 0.4%, the CSI STAR & CHINEXT Artificial Intelligence Index dropped by 0.5%, and the SSE STAR Artificial Intelligence Index decreased by 1.1%.

The China Academy of Information and Communications Technology pointed out that against the backdrop of accelerated iteration and evolution of AI technology, the demand for intelligent computing power in China is transitioning from large-scale expansion to efficiency enhancement. AI computing nodes have become the core computing power units supporting the development of intelligent computing power. AI computing nodes are the technical architecture for building large-scale computing power clusters, referring to the integration of multiple GPUs within a single logical unit to form a system similar to "super computing nodes." Compared to traditional architectures, these nodes integrate multiple computing power chips through high-speed interconnection technology to form computing units, effectively solving the issues of computing power collaboration and efficiency in training large AI models, achieving significant optimization of efficiency.

Daily Economic News

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