The A-share market is witnessing a visceral transformation, defined by a K-shaped divergence that has left nearly a third of all listed companies languishing at one-year lows. While the sirens of artificial intelligence and semiconductor prowess beckon capital toward a narrow tech corridor, the broader market is enduring a liquidity vacuum that threatens to hollow out once-unshakable industrial pillars.
Recent data reveals that 1,927 stocks, approximately 35% of the entire A-share universe, have plunged to their lowest valuations in over 250 trading days. More alarming is the subset of 133 companies that have crashed to all-time lows, signaling that for a significant portion of the investor base, the current tech-driven narrative is providing little more than a mirage of stability.
The carnage is particularly concentrated in the traditional engines of China’s old economy: healthcare, machinery, and automotive parts. These sectors, which once represented the bedrock of institutional portfolios, have become perceived value traps as capital migrates toward the speculative and strategic heights of what analysts are calling silicon-based inflation.
Even the crown jewels of the Chinese market are not immune to this structural shift. Kweichow Moutai, the perennial benchmark for domestic consumer strength, recently breached the psychological 1,200-yuan barrier, hitting its lowest point since the major market pivot of late 2024. This decline in core assets underscores a fundamental shift in how Chinese capital perceives safety and growth.
The volatility of June has been particularly punishing, with many of these laggards losing over 15% of their value in less than a month. This acceleration suggests a liquidity siphon effect, where investors are liquidating traditional holdings at any cost to chase the momentum in high-end manufacturing and AI hardware.
As the mid-year earnings season approaches, the market faces a moment of reckoning where valuation hype must be met with hard financial data. Investors are now watching to see if the AI-driven rally can maintain its momentum or if the extreme overcrowding in tech will trigger a violent correction that further destabilizes the fragile broader market.
