Padval: Jensen Huang avoids one-on-ones to prevent workplace politics
Umesh Padval · Is AI changing EVEN the Top Roles in startups? · Feb 13, 2026 · at 45:03
VC Umesh Padval shares management insights learned from NVIDIA CEO Jensen Huang regarding meeting structure and organizational transparency.
0:00 / 0:25exact quote · 25.9s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“He says, one-on-one means politics, because I say something in a different context to one person, they go off and use that context to get things done. And sometimes reality of what our conversation was and what happens is different. So he says, when I get a request for one-on-one, I said, what problem are we trying to solve? Who are the parties involved with it? And bring all of them here and let's solve the problem together.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Umesh Padval
Padval: $500M ARR in AI coding requires billions in compute costs
“What I heard is the five hundred million of ARR needs about six hundred million of investment from the LLM company they have to pay, which also requires hosting costs from Amazon and the hyperscalers of seven hundred million, and that needs chips worth eight h…”
Padval predicts Databricks and Stripe will IPO in 9 to 12 months
“And so they will go public in the next nine to 12 months, I think.”
Padval: US-India cross-border startup ecosystem could grow 100x in 15 years
“So I'm very optimistic That India is falling very fast and could be a hundred X of the companies over next 10 to 15 years just like Israel did.”
Padval: Cohere refused hyperscaler capital to stay cloud-neutral
“They didn't take investment from any of the hyperscalers. They had opportunities to do that, but they chose not to. So give the user and the enterprises a choice of any cloud. Rather than be tied to one cloud.”
Padval: Toronto offers lower costs and less churn for AI talent than Bay Area
“In the Bay Area, the cost of that talent, you know, is very expensive. Whereas this talent is in Toronto, which has a great University of Toronto where all the AI researchers coming. The cost in Toronto is low. The churn is less.”