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May 24, 2023
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Martin Schwoerer's avatar

the data is weak. How much of Nvidia is AI? By what metric?

What to do when one has weak data? Well, all data is incomplete, some more than others. This can lead to inaction -- "I won't invest until I have a water-tight, complete analysis of the asset". That's what Germans like to do... while they understand that anything ongoing is fluid, they have a full-bore neophobia of something they haven't been working on for years.

My approach in contrast might be more fluid. The rising tide swept up all Dotcoms, even the proverbial toothpick.com. ARKK and FAANG of course were more precise insrtruments. Biotech on the other hand was an open church.

I might buy in addition to BOTZ some IRBO and AMOM. They were established in 2019 and 2020 respectively, so what they might gain in "precision", they lose in empirical solidity. Again, I'd appreciate any opinion about a more preferable asset. It may however be that this is an investing fad that does not have a perfect asset to invest in. (Although we can be sure that if this turns into a new proper bubble, new ETFs will spring up like mushrooms on a wet October morning).

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May 24, 2023
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Martin Schwoerer's avatar

some folks say Google will be the main loser of the AI era.

https://www.binance.com/en/feed/post/153970

"Can't afford to miss the boat" is something that Kodak and Nokia should have taken to heart. The problem is, to fully support a new, cannibalistic technology while your cash cow is (for the moment) doing fine is not in the DNA is large organisations.

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