The author reports a 49.4% drawdown this month from a crash, holding AI chokepoints and bo
The author reports a 49.4% drawdown this month from a crash, holding AI chokepoints and bottlenecks (photonics, robotics, upstream semis, memory). Despite mockery and retail panic, they have conviction in structural revenue growth and a long-term horizon to H2 2027.
“Feels bad, -49.4% drawdown this month after the recent crash. My portfolio is mainly AI chokepoints and bottlenecks. In the memory, photonics, robotics, and upstream semis, (on margin) which all tend to be higher beta than others. But reduced leverage recently from the crash. I see a lot of people making fun of the drop or AI names, saying it’s obvious that: - “AI is a bubble” - “memory/kospi is a bubble” - “photonics is a bubble” - “humanoids won’t get anywhere” - “neoclouds will get replaced by hyperscalers like Meta” And a bunch of retail + bots saying “sell everything, it’s never going to recover”. But I have conviction that all these themes are backed by structural revenue growth or technological shifts. And I’ve had similar drawdowns back when there admin threatened global tariffs, before markets pulled off a recovery. I personally have a longer horizon + higher tolerance for volatility than others, to see how this plays out. Especially considering a lot of retail view things on a week to week basis: no, my thesis isn’t wrong yet if I project revenue inflection in H2 2027 and it’s 2026 now. Anyway, feels bad short term just wanted to share anyway for transparency.”Original post:X / @aleabitoreddit ↗
Related stocks
MEMORYBullish
Author holds memory (Kospi) as an AI bottleneck, dismisses bubble claims, and expects revenue inflection by H2 2027.
Trade ↗PHOTONICSBullish
Photonics is held as a chokepoint; author rejects bubble narrative and sees technological shift driving growth.
Trade ↗ROBOTICSBullish
Robotics (including humanoids) is considered an AI bottleneck with long-term potential, contrary to skepticism.
Trade ↗SEMISUPSTREAMBullish
Upstream semiconductors are held as a key bottleneck; author expects recovery with AI-driven demand.
Trade ↗