1. Profit‑centric deal structuring
Deal architects are chasing the highest possible margins and back‑stop upside, even if it means writing off capacity later.
“If Nvidia sells hardware for $100 B with 75 % cross margin, and provides $50 B in backstop for that same hardware, it would be still be nicely profitable deal ($25 B) … Reselling that capacity in some large discount below already low backstop price would increase the profits.” — u1hcw9nx
“Businesses aim to make the most profit possible with their resources. If they can make a 25 % margin that is good, but if they can turn around sell the same thing for a 50 % margin, that is much better.” — NewJazz
2. Skepticism over mega‑financing rounds
Many doubt the long‑term viability of the $500 B‑scale AI funding spree and warn of inevitable write‑offs.
“In other words: the investments that were never going to happen are not going to happen.” — behnamoh
“it seems much more like Relativity by M. C. Escher where no one is quite sure how to exit without bringing everything down with them?” — sidewndr46
3. Open‑source disruption threat
A realistic open‑weight model could undercut current premium AI services, forcing incumbents to rethink their moat.
“What would happen to Nvidia, Anthropic, OpenAI, if tomorrow someone released an open weights model on HuggingFace that matched performance and accuracy of Opus 5 running locally on an RTX 5070?” — gymbeaux