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: Airtable Sold for $1.285BN | Leo Achenbrenner's Situational Awareness Blows Up | Moonshot AI Raises $3.5B at $35B | Anthropic Model Breaches Three Companies' Security | Big Tech Earnings: Why Palantir Beat The Rest · 6 Aug 2026 podcast

Some human beings solve it.

I don't know how they solve them.

I don't know what logic they applied, but they solved them.

I need to find, get into the brains of those people who solve them and abstract all that knowledge and codify it so that I can write my own playbooks and rules as to how to solve the problem the next time it shows up.

So I've told my team, every new phone call, every new case is a learning opportunity.

It's not just to solve it.

You have to learn.

So you have to go into this learning mode as enterprises just the way.

You should never let your VP of finance just decide.

You should say every time the VP of finance reaches a conclusion, you have to surface it to the human called Jason and say, dear VP of finance, book it.

Because we book every transaction.

So you have to give the organizational knowledge to some learning system that you have to build.

And I think that still is going to take three to five years for every enterprise, every use case.

And I think that's kind of what we're not paying attention to.

I think the same thing applies to SaaS companies.

They all have to go rebuild their stacks, but not just the stack.

The stack rebuild is the easy part.

Can I string along?

I'm pretty sure fireworks will take my money and fine-tune an open weight model for me if I want and keep training my use cases to a point.

But beyond that, how do I get from 70% accuracy to 99% accuracy?

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