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

Do you think we're in an infrastructure bubble like people think or suggest?

I have a question which I don't know the answer to, and you can tell me, so you spend more time with people here.

I have to go do my day job.

is, at what point in time does physics kick in, and we just can't produce the compute as fast as we want to?

Infrastructure people are gearing up for large amounts of capacity, large amounts of demand on the infrastructure side, and you come to a point where it says, you know what?

It's only so many data centers we can build.

There's only so much energy we have.

I mean, this is

I think there may be a digestion period at some point in time when we think the demand for compute is there, but the capacity to execute is now limited by physics and the infrastructure players have built up too much capacity for this demand.

I don't know when that rationalizes.

Maybe it rationalizes and causes us to go think about a different timeframe for putting all this compute out.

That doesn't take away from the need of compute.

We'll still want as much compute as we can deliver, as fast as we can deliver.

I think some of the model companies have outstripped anybody else's ability to build frontier AI models of that capacity at that speed in the trainings.

I think you are seeing perhaps a settling down of who's going to be the frontier model player in the future.

The question becomes, in the economics, what value accrues to the model?

What value accrues to the application layer, as you said it?

And I think the application layer is probably a simplistic term, because for the first time, you have memory in applications.

Applications understand context.

They understand context as specifically as to what you want, what I want.

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