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A-Share Market Pulls Back as AI Sector Faces Pressure: Opportunities and Risks Coexist Among Limit-Up Stocks

📅 · 📁 Industry · 👁 12 views · ⏱️ 5 min read
💡 On April 28, all three major A-share indices pulled back collectively, with the ChiNext Index suffering its fourth consecutive decline. Combined turnover across the Shanghai, Shenzhen, and Beijing exchanges shrank to 2.55 trillion yuan. Divergence within AI concept stocks intensified, with investment opportunities and risks behind limit-up stocks warranting close attention.

All Three Major Indices Pull Back as AI Sector Divergence Intensifies

On April 28, the A-share market underwent a notable correction. By the close, the Shanghai Composite Index fell 0.19% to 4,078.64 points; the Shenzhen Component Index dropped 1.10% to 14,830.46 points; and the ChiNext Index declined 1.43% to 3,596.71 points, marking its fourth consecutive daily loss. Combined turnover across the Shanghai, Shenzhen, and Beijing exchanges totaled 2.55 trillion yuan, shrinking by 54.3 billion yuan from the previous trading day, signaling a rise in wait-and-see sentiment.

Against this backdrop, the AI technology sector — which had been consistently active in recent sessions — was not immune to the downturn. Divergence within the sector became increasingly pronounced. While some sub-segments still produced limit-up stocks, overall enthusiasm cooled compared to earlier sessions.

AI Investment Clues Among Limit-Up Stocks

Despite the broader market pressure, AI-related concept stocks were still visible among the day's limit-up names. Based on sector distribution, the key investment threads included:

AI Application Implementation: As large language model technology continues to evolve, AI applications in vertical sectors such as education, healthcare, and finance are accelerating their real-world deployment, attracting capital inflows. Market expectations for "AI + Industry" themes continue to build, with companies poised to deliver tangible earnings performing relatively well.

Computing Infrastructure: Driven by sustained overseas demand for computing power and the domestic substitution narrative, stocks in the computing power supply chain — including optical modules, servers, and liquid cooling — continue to attract attention. However, disagreement over high-priced names is growing.

Robotics and Embodied Intelligence: Humanoid robot concepts have been repeatedly active in recent sessions, with upstream and downstream companies frequently appearing on limit-up lists, reflecting the market's long-term optimism toward this segment.

Risk Warning: Shrinking Volume Signals Should Not Be Ignored

However, chasing limit-up stocks in the current market environment carries significant risks. Several signals urge investors to remain cautious:

First, trading volume continues to shrink. The 2.55 trillion yuan turnover represents a contraction of over 50 billion yuan from the previous day, indicating weakening willingness among incremental capital to enter the market. In a low-volume environment, limit-up stocks often lack follow-through, and next-day premiums may decline significantly.

Second, the ChiNext's four-day losing streak is a warning sign. As a bellwether for growth and technology stocks, four consecutive declines on the ChiNext Index suggest that short-term risk appetite is shifting downward. As a quintessential growth sector, AI faces valuation correction pressure during this phase.

Third, sector rotation is accelerating. Recent hot spots within AI concepts have been shifting rapidly — from computing power to applications, from large models to robotics — with capital exhibiting a clear "hit-and-run" pattern. Chasing rallies makes investors vulnerable to gap-down openings the next day.

Fourth, some stocks show signs of speculative overheating. Certain AI concept stocks have already seen substantial short-term gains detached from fundamental support, driven purely by sentiment and speculative capital flows. Once the tide turns, pullbacks may exceed expectations.

From a longer time horizon, the AI industry's development trajectory has not been altered by short-term market fluctuations. Globally, the large language model race continues to intensify, while domestic players are making continuous breakthroughs in open-source ecosystems and industry applications, providing solid fundamental support for related listed companies.

Analysts point out that the current market correction is more of a technical pullback following rapid earlier gains, rather than a trend reversal. For investors, it is advisable to manage position sizes in the short term and avoid blindly chasing limit-up stocks. Over the medium to long term, attention should be directed toward core AI assets with genuine earnings delivery capabilities, seeking entry opportunities during pullbacks.

It should be emphasized that limit-up stock investing is inherently high-risk. Investors should make rational decisions based on their own risk tolerance and avoid being swept up by short-term emotions. Markets carry risks, and investment requires caution.