It feels like massive change to the tech industry (programming, data science etc.) is inevitable with LLMs.
Articles like this remind me of the Luddites burning the mills and smashing the stocking frames - sure, they were able to cause some damage to the local industrialists but in the end resistance was futile.
FWIW, I strongly suspect I'll get laid off in the next five years due to the combination of LLMs and the poor economic outlook. So I'm not really optimistic about the changes, but I don't think we can just pretend we can put the genie back in the bottle and go back to 2021.
Don't necessarily agree with all of the writing in this article. But I just spent the past weeks reading into the whole AI valuation topic again (did dis in March already (1)). So I'll try to add some perspective:
Form my research (1) Four widely cited 2025 enterprise AI revenue figures span 40x ($37B Menlo, $1.478T Gartner). The audit-grade floor you could defend on a 10-Q against $690B of 2026 hyperscaler capex is just $63.2B, or 9.2% coverage. Telecom 1999 peaked at 28%. Even after netting only AI-incremental capex you only get to 12-15%, which is still below the closest analogue we have.
https://leehanchung.github.io/blogs/2026/04/05/the-ai-great-...
https://github.com/0xdeadbeefnetwork/ssh-keysign-pwn
https://lwn.net/Articles/1072007/#Comments
The parallels between present and the Maoist actions are very good and they are not the kind of things that an LLM would find out by itself.
Articles like this remind me of the Luddites burning the mills and smashing the stocking frames - sure, they were able to cause some damage to the local industrialists but in the end resistance was futile.
FWIW, I strongly suspect I'll get laid off in the next five years due to the combination of LLMs and the poor economic outlook. So I'm not really optimistic about the changes, but I don't think we can just pretend we can put the genie back in the bottle and go back to 2021.
Have some self respect people.
Form my research (1) Four widely cited 2025 enterprise AI revenue figures span 40x ($37B Menlo, $1.478T Gartner). The audit-grade floor you could defend on a 10-Q against $690B of 2026 hyperscaler capex is just $63.2B, or 9.2% coverage. Telecom 1999 peaked at 28%. Even after netting only AI-incremental capex you only get to 12-15%, which is still below the closest analogue we have.
(1) https://philippdubach.com/posts/ai-capex-arms-race-who-blink...
(2) https://philippdubach.com/posts/reconciling-enterprise-ai-re...