Vijay Krishnan
5 statements across 1 episodes · 3 bullish · 2 bearish · 1 people on the record · first statement Jul 31, 2026 by Vijay Krishnan · said 2 times in 2 episodes since 2026 · across every show →
On the record as a speaker too: Vijay Krishnan's record, appearances and statements → this page counts the times other people say the name.
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brought up most by Siddhartha Ahluwalia (1), Mahesh Ram (1)
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2026 2 mentions in 2 episodes 1 per episode
Everything said about Vijay Krishnan, oldest first
Jul 31, 2026 positive
Krishnan: Rapid growth and 10x product improvements trump AI defensibility
“The number one thing before you know, you get into defensibilities, make sure that whatever it is you're building is is was impossible to build four years ago. Make sure, you know, it is a 10 X or a hundred X better than the status quo. Make sure that it has a…”
Jul 31, 2026 positive
Krishnan: Coding and math training improves overall AI reasoning capabilities
“Coding in general has nice spillover effects in terms of improving reasoning capabilities of models as a whole. Whereas you know, let us say the model companies prioritized something like the models getting better at medicine. I'm not too sure if that would he…”
Jul 31, 2026 bullish
Krishnan: End-to-End Outcome Startups Benefit from Smarter Frontier Models
“Now, when you're doing this kind of end-to-end thing, you are less likely to get disrupted. In fact, if you know, if anything, if the if the cloud models or codex or even Gemini models or any of these other models get a lot better at coding, these people only …”
Jul 31, 2026 negative
Krishnan: Headcount-based IT services models face severe pressure and must reinvent
“So they will definitely have to have to get substantially reinvented, right? Like today, very much the models in these companies have been entirely about this entirely head count related that is yeah, that model is definitely going to get a lot come under seve…”
Jul 31, 2026 bearish
Krishnan: Prediction of a 10x AI-driven startup surge was wrong
“One prediction on way on which I, I'm just, I turned out to be wrong was I would have expected this kind of productivity gains to come all the way on the stack along the stack. Like I would have expected that, for example, the number of let's say good venture …”