Sunday, November 8, 2026

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@aleabitoreddit

Serenity on X

It think it's stupid that "AI Bubble" gets used over and over. In infra names you have: - 1-3x fwd P/E memory companies from Samsung to $ESMT. With HBM players now having hyperscaler multi-year price floor LTAs. - Optical companies like $POET traded -$97M under net cash. Valuing the operating business very negatively, not even at $0. - While AI companies with larger premiums continue to record demand over the next 3-5 years. Such as the new $20B LTAs signed w/ $COHR to $5B LTAs signed w/ $LITE. Can someone in the media honestly see negative EV high-beta optical companies, where 2 years of burnrate would still value the company below $0. or single digit memory companies with contracted demand + price floors years out and say that's a bubble? Many of these names are extremely profitable today... But obviously there's other elements inside the theme, such as: - Certain startups like Instinct that look like a private valuation bubble. - Leveraged Neoclouds that didn't finance properly - and AI lab valuations and commitments, which should be viewed cautiously. But everything gets grouped into one with the boogyman of "leverage" or "debt". Yes, valuations can compress or correct from macro, potential regulatory uncertainty, or potential capex reductions. But for the companies physically powering the AI buildout, it looks more like the Great AI Deleveraging of 2026... Than anything like fundamental demand destruction. As more earnings come out and free cash flow accumulates over time. I'm confident in a recovery, especially in bottlenecks, and for markets to eventually discern durability + growth over frothy valuations tied to AI.

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