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.

Trend

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

How much are we going to pay for intelligence?

And once we pay for intelligence, we talked about compute.

I'm pretty sure Harry will want us to talk about all the capex that's going to happen out there.

At some point in time, somebody's got to pay for all this compute.

And that money has to come from some version of some people paying for AI.

And that's the only thing that's going to allow the Valors and the chicken manure companies in the world to actually be worth something.

I don't think so.

Whether OpenAI or Anthropic hit their 2027 numbers or not is orthogonal to the fact that there is infinite demand for AI at this moment.

And that infinite demand needs to be satisfied by compute.

Now, whether it's OpenAI that builds the data centers or buys the data centers or pays for them or somebody else pays for them, there is demand in the market.

Look, if you think about what's going on, I still posit 70% of the compute demand for AI is being consumed by consumers who are getting a free ride.

So maybe they'll give me reallocation.

Maybe we're going to have to give more compute to enterprises over time as they become better monetization capabilities.

you'll find that eventually the promise of consumer monetization is going to start showing up.

We all talk about why can an agent book my airline ticket and make me a restaurant reservation.

And these are simple use cases.

I don't need to go solve cancer to get that stuff to work.

That stuff's going to work.

When that stuff works, there's going to be monetization opportunities on the consumer side.

So I believe that, you know, at first principles, there will be tremendous amounts of compute that will be needed to satisfy the AI use cases, both in consumer and enterprise.

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