How did China's rookie portfolio managers, such as Caitong Fund Management's Yuan Zeqiang, grapple with billion-yuan mandates and steep portfolio losses after the 50-day market turmoil sparked by the June 2026 global AI stock correction, which exposed their heavy tech exposure, i

Here is a detailed look at how China's rookie portfolio managers — particularly Caitong Fund Management's Yuan Zeqiang — handled the brutal 50-day market turmoil triggered by the global AI stock correction that began in June 2026.

Key facts on Yuan Zeqiang

Yuan Zeqiang, who had only 3.5 years of sell-side research experience, was appointed a portfolio manager at Caitong Fund Management on June 11, 2026, inheriting two products with combined assets of 7.28 billion yuan (~$1 billion) . Between his appointment and July 30, his two debut portfolios tumbled 36% and 33% respectively . As of August 1 (51 days on the job), his annualized return was roughly -90% .

His funds — Caitong Technology Innovation Hybrid A and Caitong Sci-Tech Theme Flexible Allocation Mixed (LOF) A — were highly concentrated in AI hardware stocks, particularly optical transceiver manufacturers and chipmakers . This made them acutely vulnerable when the global AI stock rout hit China's tech-heavy STAR Board in late June through July.

How Yuan and similar rookies grappled with the crisis

1. Inherited concentrated AI bets they couldn't quickly unwind

Yuan did not build the portfolios he inherited; they were already heavily weighted toward AI hardware names that had soared earlier in 2026 . With a rookie's limited experience, limited authority, and a fast-moving sell-off, he had little room to reposition before losses accelerated. The funds' holdings in optical transceiver stocks — which had been market darlings — collapsed as the AI "super bubble" warnings from veteran hedge fund managers proved prescient .

2. Suffered extreme rank and reputational damage

• The two funds ranked near the very bottom of all Chinese mutual funds: 5,432 out of 5,457 and 2,252 out of 2,329 in their respective categories over the prior month .
• Online investors publicly mocked Yuan's performance, with the hashtag "new fund manager loses over 30% in 51 days" going viral on Chinese social media . The intense client scrutiny came as investors who had piled into AI-themed funds during the rally demanded answers.

3. Faced an impossible conviction test — hold or fold?

For a rookie with no track record and a mandate inherited from a predecessor, the options were limited:

• Hold and hope: Many of Yuan's peers who had rotated into AI in Q2 2026 — including star managers like Zhang Kun of E Fund — also suffered, as the Santa Clara AI sell-off spilled into China's semiconductor and optical transceiver names . Some managers publicly defended their conviction in the AI trade, but rookies lacked the credibility to reassure investors.
• Hesitate to sell: Selling into a panic would lock in losses and potentially trigger further redemptions. The Chinese government itself stepped in on July 21 with state-backed buying (the ChinaAMC STAR 50 ETF saw record inflows of 13.8 billion yuan) to stabilize tech stocks , creating a messy signal for managers deciding whether to capitulate.
• Quant quants also cratered: The sell-off was so severe that even quantitative hedge funds — including DeepSeek founder Liang Wenfeng's High-Flyer — lost 15-17% in a single week . This meant there was no safe hiding place in systematic strategies either.

4. Broader industry context amplified the pressure

The rookies were swept up in a much larger storm:

• Hedge funds had already warned: In late June, leading Chinese hedge fund managers like Yang Dong (Wealspring/ Ningquan) called the AI trade a "super bubble" and predicted 80-90% drawdowns in some A-share AI stocks .
• Veterans also bled: Value-investing legends like Zhang Kun saw their flagship fund fall 1.2% in July after pivoting to AI late . Lan Xiaokang's AUM dropped from 27.2 billion yuan . Even Caitong's own star manager Jin Zicai — whose AUM had surged from 8.9 billion to 56.5 billion yuan on the AI rally — was forced to impose extreme purchase limits of just 100 yuan/day in late June .
• Regulatory stabilization: On July 21, China deployed state-backed buying (insurers, asset managers, regulators) to halt the tech stock rout, with the ChinaAMC STAR 50 ETF seeing record inflows . This created a backstop but did not reverse the damage for rookie-led funds.

The bottom line

China's rookie fund managers — epitomized by Yuan Zeqiang — were swept up in a perfect storm: they inherited billion-yuan portfolios hyper-concentrated in AI hardware just as the global AI stock correction began; they lacked the experience, credibility, or track record to reassure panicked investors or execute a strategic pivot; they watched their funds collapse to the bottom of performance rankings; and they weathered intense online ridicule. The 50-day turmoil from late June to early August 2026 exposed a harsh reality: the AI trade that had minted billion-yuan fund managers also destroyed those who entered too late, with too much concentration, and too little time to react.