Serenity: AI stocks plunge triggers a 49% monthly drawdown in the investment portfolio—painful in the short term, but the long-term industry chain logic remains unchanged

PANews July 18 reports that “White-haired stock bull god” Serenity has publicly disclosed that after its investment portfolio made major adjustments in the recent market, this month’s largest drawdown reached 49.4%. Despite the near-term pressure, he said he will not change his judgment on the long-term trend of AI infrastructure. Serenity said its portfolio mainly bets on the “key bottleneck” segments in the AI industry chain, including: memory chips (Memory), photonics technology (Photonics), humanoid robots (Robotics), and the upstream semiconductor industry chain. These areas often have higher growth elasticity, which also means they will experience more severe volatility when market risk appetite declines. After this round of adjustment, he has proactively reduced leverage to control portfolio risk.

After a major pullback in AI-related assets recently, the market has seen a large number of questioning voices. Some investors believe: AI is forming a bubble; memory chips and Korea’s stock market AI rally are overheated; photonics technology valuations are too high; the commercialization prospects for humanoid robots are limited; and the new AI cloud service provider (Neocloud) may ultimately be replaced by hyperscale cloud giants such as Meta.

In response, Serenity said these views ignore the long-term structural changes behind the AI industry. The growth in AI compute demand, data center expansion, upgrades to advanced semiconductors, and the development of automation technologies will still drive continued growth in related industries. “These themes are not simply market speculation, but are supported by revenue growth and technology migration.”

Serenity pointed out that he has also experienced similar large drawdowns in the past. For example, when market panic was triggered earlier by global tariff risks, related growth stocks also suffered sharp declines, but the market ultimately recovered and moved higher. His investment cycle is not measured in weeks or months, but is based on judgments about longer-term industry trends. “If my model predicts that AI-related companies will see a revenue inflection point in the second half of 2027, and right now it’s only 2026, then a short-term adjustment of a few months cannot prove that the investment thesis has failed.” Growth-style tech investing is inevitably accompanied by high volatility. Although the current drawdown is painful, he is still willing to observe the development of the AI infrastructure wave over a longer time horizon.