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Egor Bezel's avatar

Great post and everything is nicely put together.

There is one exception though, which is AI has nothing to do with layoffs. Youth unemployment is on the rise in "no degree" category, while it's about stable in "higher degree". It's just the economy being not great.

Guy Berger has discussed it in detail on his substack and on X

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Florian Kronawitter's avatar

thanks v interesting!

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AW's avatar

Say we assume AOC2028 (or some other socialist candidate). What happens then? Also, you need a crypto/Bitcoin section brah, it’s almost 2026…

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Florian Kronawitter's avatar

Redistribution and efforts to reduce inequality via taxation. Maybe we get 10% of every company nationalised and the equity passed on to population. Sth Vinod Kholsa suggested

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MR's avatar

Excellent post as always. My understanding of your introduction to DDT was that in the 1st and 2nd step you basically choose the narrative that best explains the current price action. However in this post it sounds like you actually do take a view based arguments or macro data and not just based on price action. Could you please clarify? Thanks

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Florian Kronawitter's avatar

Thanks for the question. This post is written so it is -hopefully- interesting for everyone incl ppl who dont trade, or trade as frequently, hence more emphasis on content

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kleinerfinger's avatar

Great article, thank you very much for sharing!

You mentioned that the companies are seeing the early benefits of Enterprise AI higher and quicker than expected and this is resulting in better corporate margins. If this is a systematic driver for the markets it would be reasonable to expect companies to post stronger (expected) results. Would it be reasonable to expect higher stock prices (in US) due to the those stronger results despite the low/mid income pressure, considering the major actors in the equities have capital to deploy to those companies harvesting the benefits of Enterprise AI?

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