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

I think the SaaS versions exist.

We all use them.

I think at some point in time, we'll see AI applications that do a lot of the task and workflow gets reimagined.

I do think a lot of SaaS has built a lot of analytical capabilities that sit on top of the systems of work and system record.

I think it's a lot easier to abstract that data into some large data lake and have LLMs analyze that data for you and give you the answers.

I think the analytic world is getting reshaped already.

where you can see people like Snowflake or Glean or Databricks.

All these people boast enterprise data lakes where you can bring the data and run LLMs against it and get you much more synthesized analytics and outcomes than you ever had before.

I think the third question which we started off with is people are not sure how many people are going to work in these enterprises in the future.

So if you take the confusion of how many seats are going to survive in the SaaS world, take the confusion around analytics are going to get done differently, and system work gets reimagined.

Well, if you look at most SaaS software, right, in the past many years, once you're fully deployed at a company, somebody says, listen, I've got all this cool data about all your employees in my HR system, and I can help you get more insight in the HR system.

If you take a Salesforce, they have a Salesforce marketplace with 300 apps you can use, which are analytical apps that feed off your own system of record, go-to-market data, and it helps you analyze that data.

You know Neil Mater?

Yes, of course.

That's a very good question, yes.

The bear case is we don't get this transition right of the world going to a AI first future.

Because look, these false positives will keep reducing over time.

Agents will become a real thing.

Agents will do a lot of work for humans, which humans have been doing manually in the past.

All that needs to get embodied in your product.

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