Continuing with the idea of it’s probably better to try to educate newbies during drawdowns rather than dunk on them, let’s talk about how expectations change as stocks rally significantly.
Basically, in the beginning of a rally you have the highest likelihood of the most positive catalyst being good earnings. People doubt the company or the environment in the present, so the best chance they have to surprise is simply to prove they are doing well right now. (Think memory in 2024, with AI overshadowed by cyclical glut fears)
Now take where we are today, when trailing multiples are twice or three times as high as forward.
Imagine you’re holding a fishing rod. You are grasping it 6 inches from the far end of the pole and sharply raise your hand a foot in the air. The end of the pole will raise pretty much the same as your hand.
Now imagine you’re holding it from the handle and you do the same thing. The tip of the pole will move more than your hand, as there’s more room for the rod to bend and transfer/exaggerate the movement.
That’s what happens in names after everyone has turned positive on them and analyst expectations are universally positive. They aren’t able to rally simply because last quarters expectations were good, because the market is no longer pricing them on an expectation of what’s currently happening but rather on an expectation of what happens 1, 2, 3 years from now.
What that means is higher volatility, earnings take a backseat to narratives. When the narratives are positive, the stock can rally significantly because compounding 50%+ annual growth out 3 or 4 years makes it easy to say the stock is extremely cheap on 2029 numbers.
But it also makes it susceptible to narratives that can’t be falsified today by good earnings or bullish management (just an aside, so everyone knows, semiconductor company management is generally bullish no matter what…with rare exceptions that typically mark the bottom of a cycle).
What that means is news about memory efficiency improvements or anticipated expansion of supply or threats from players like CXMT become really impactful when everyone is already bulled up. This is why it’s extremely difficult to buy or sell semis based on valuation - someone can always come up with a valuation to support a bull or bear case. Especially when the valuation is based on numbers 3 years from now.
These narratives can impact growth estimates by maybe 3-5% a year over the next 4 years, but that can add up to a lot. The market is holding these stocks from the far end of the fishing pole.
This is why stocks get increasingly volatile when they have significant rallies, and also why it always seems like when they put in tops (either near term or long term), they do so over very little real developments in the way of news or fundamentals.
【高盛认为未来边缘AI的发展速度,可能取决于NAND和存储】--非常有前瞻性的观点,存储投资者值得一看
高盛认为市场可能误读了苹果。多数人看到WWDC后觉得Siri没突破,大模型不够强,Apple Intelligence进展慢,不看好苹果的本地AI(On-device AI)路线。于是AAPL最近下跌了约3.5%。
但高盛认为真正值得关注的是苹果的技术路线。苹果并没有选择像OpenAI、Anthropic那样不断增加计算资源,而是在尝试一种类似“LLM in a Flash”的架构:把核心模型常驻内存,把大量参数存储在NAND闪存中,需要时再动态调入DRAM。这种模式本质上是用存储替代部分计算,因此高盛提出一个非共识观点,未来边缘AI的发展速度,可能更多取决于NAND和存储,而不是HBM和数据中心GPU。
我的看法:推特的老观众都知道我很看好苹果未来在AI时代终端设备中扮演的角色。苹果正在弱化底层模型的重要性,让开发者通过统一接口在本地模型和云端模型之间自由切换。未来真正有价值的可能不是模型本身,而是分发渠道,生态系统,用户入口,这也是苹果最擅长的领域。
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