Nikesh Arora

speaker

2,918 appearances 12 recordings 8 series first heard Nov 2025 last heard 6 Aug

Nikesh Arora’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 12 in all, peaking in Jun 2026 with 5.

Appearances

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 20VC: Nikesh Arora on the Frontier Model Problem: Breadth vs Depth | The Future of Token Costs | Memory Becoming the Moat | Where Value Accrues: Infra, Models, or Apps? | Why Enterprise AI is Not Ready & Systems of Record vs Systems of Intelligence · 22 Jun 2026 podcast

Give me three years, I'll have hopefully enough AI savvy people working at Palo Alto.

So there are two different ways to get there.

I think part of what he's seeing in the token-maxing world is people are learning, people are experimenting.

The risk is your smartest employee who knows how to use AI really well could be using 20 times the tokens that an average employee uses.

And if you get into this whack-a-mole moment saying, oh my God, I'm going to stop people spending too many tokens, you actually will hurt the best AI-savvy people more than you will hurt this average employee.

Yes, possibly.

But I think part of the challenge is, right now, everybody's experimenting on everything.

And you have to figure out, what is it that I need to build as an enterprise?

And what can I get off the shelf?

If I can get an AI-based thinking application that does marketing for me, I don't need to build it.

It's a generic problem everybody needs to solve.

I can tweak it.

I can customize it just the way I did with SaaS applications, but I don't need to build mine from scratch.

So I've made sure that everything my team is building is proprietary to us.

This is where do we have unique, distinguished knowledge that we bring to bear, which nobody else can do on the outside.

Let's put that, let's package it, let's use it.

Where it's going to be a generic AI application 12 months, 24 months from now, let's just wait.

We have a use judiciously model for tokens.

It's not a free-for-all.

Free-for-all sounds like you can go token max the hell out of it.

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