Hook
On July 19, 2025, Butian—a prominent Chinese fund manager with a cult following—announced he had used his “last bullet” to buy SK Hynix’s 2x levered ETF after a 25.72% drawdown. The move was classic: buy the dip. But beneath the surface, this was not just a trade. It was a narrative event—a signal that the AI-HBM story, the bedrock of both semiconductor and crypto AI narratives, is being stress-tested in real time.
In the crypto world, we call this “emotional capitulation.” When the most vocal bull goes all-in with leverage, the market’s psychology has reached a local extreme. But what happens when the underlying technology narrative—the promise of infinite AI demand—is built on assumptions that are more fragile than most investors realize?
Context
SK Hynix is the dominant supplier of HBM (High Bandwidth Memory) to NVIDIA, the darling of the AI revolution. HBM is the memory that feeds the GPU beast; without it, no large language model can train or infer at scale. Butian’s thesis is simple: AI demand is secular, HBM supply is constrained, and SK Hynix has a first-mover advantage in advanced packaging (MR-MUF). Therefore, any price dip is a buying opportunity.
This narrative is eerily similar to the crypto bull runs of 2017 and 2021. Back then, investors bought the “ETH flippening” or “DeFi summer” narratives on faith, ignoring the structural weaknesses—scaling bottlenecks, regulatory sand traps, or competing technologies. Butian’s move is a carbon copy: a bet on a linear extrapolation of a trend, using leverage to capture the upside.
Core: The Narrative Mechanics of the All-In Bet
Butian’s trade is a textbook example of what I call narrative velocity—the speed at which a story compels capital to move. When a respected figure says “I’m out of bullets,” it triggers FOMO among retail followers. But the real story is in the mechanics of the vehicle: the 2x levered ETF.
In crypto, we learned the hard way about volatility decay. Leveraged tokens like ETHBULL or BTCUP are notorious for losing value in sideways markets due to daily rebalancing. The same physics applies to traditional levered ETFs. Butian’s ETF—let’s call it $SKYX2—doesn’t just double SK Hynix’s returns; it compounds the daily volatility. If SK Hynix drops 25%, the ETF drops 50%. If it then bounces 10%, the ETF recovers only 20%, not 22% (due to rebalancing). Over weeks of oscillation, the decay eats the principal.
Butian’s write-up implies he’s a long-term holder. But levered ETFs are designed for short-term tactical bets, not long-term conviction. This mismatch—between his stated “long-term AI faith” and his choice of weapon—reveals a deeper tension: the market is still pricing AI as a momentum trade, not a bedrock asset.
The Hidden Variable: Geopolitics
Nowhere in Butian’s post does he mention geopolitics. Yet SK Hynix sits squarely in the crossfire of the US-China tech war. The US is pressuring South Korea to restrict HBM exports to China, even as China is a major consumer of memory chips. If the US expands export controls to cover HBM, SK Hynix loses a significant market, and its pricing power weakens.
In crypto, we call this “regulatory gravity”—the unavoidable pull of state intervention. The AI narrative assumes a free market for chips, but the reality is a managed supply chain. Butian’s blind spot is the same one that burned Terra and Luna investors: ignoring the off-chain forces that can collapse the narrative.
The Contrarian Angle
Here’s the counter-intuitive truth: Butian’s all-in bet is actually a bearish signal for the AI narrative. Why? Because it indicates that the last true believer has already deployed his capital. When the smartest money has no more bullets, who will buy the next dip? The marginal buyer disappears.
Moreover, the SK Hynix story has a fatal flaw: it’s a mono-customer dependency. Almost all HBM revenue comes from NVIDIA. If NVIDIA stumbles—due to competition from AMD, or a shift to custom ASICs, or a new architecture that reduces HBM requirements—SK Hynix’s valuation collapses. This is the same risk as a DeFi protocol relying on a single liquidity provider.
Butian writes, “Alchemy fails when the intent is hollow.” But the alchemy of AI demand may not be hollow—it may just be overpriced. The market is discounting a future where AI compute doubles every quarter, but the physical constraints of semiconductor manufacturing (yield, power, cooling) impose a natural ceiling.
Takeaway
Butian’s trade is not just a stock pick; it’s a narrative artifact. It shows that the AI-HBM story has reached peak emotional attachment. When a veteran investor uses leveraged ETFs to buy after a 25% drop, he is signaling not confidence, but desperation. The narrative has exhausted its capital base.
In crypto, we know that the most dangerous time to buy is when everyone you trust has already bought. Butian’s last bullet might be the final chapter in this cycle’s AI narrative. The next leg will come from a new story—one that hasn’t been written yet.
Alchemy fails when the intent is hollow. But the intent was never hollow; it was just leveraged too thin.