Episode summary
Four CEOs on the Future of AI: CoreWeave, Perplexity, Mistral, and IREN
All-In Podcast
· · 1 hr 38 min · Guests: Michael Intrator, Aravind Srinivas, Arthur Mensch, Daniel Roberts
Summary
CoreWeave’s Michael Intrator framed the company as a capital-efficient AI infrastructure business that evolved from crypto mining into a purpose-built cloud for training and inference. He argued that the real edge is not just access to GPUs, but the ability to operate large clusters, sign long-duration contracts, and finance data centers through what he called a “box” structure that isolates cash flows and de-risks lending. He also rejected the idea that GPUs become obsolete quickly, saying customers buy compute for five to six years and that older chips still find new demand in inference, rendering, and other workloads.
Perplexity’s Aravind Srinivas described his company as an “accuracy-first” AI layer that has expanded from search into browser automation and, now, computer control. He argued that the future is a hybrid of local and server-side orchestration, with users running private workloads on devices like Mac Mini or Mac Studio while still tapping frontier models when needed. He emphasized multimodel routing as Perplexity’s key advantage: the company can use the best model for each task without needing to champion one vendor.
Across both conversations, the argument was that AI’s value is moving from model creation to orchestration, deployment, and workflow automation, with falling token costs and rising agentic capabilities reshaping how businesses are built and operated.
Key takeaways
- Michael Intrator said CoreWeave’s average customer contract is 5 years, which supports its financing model and its claim that GPUs remain valuable well beyond 16 months.
- Intrator said CoreWeave has cut its cost of capital by 600 basis points over the last two years by using contract-backed financing structures.
- Aravind Srinivas said Perplexity’s advantage is multimodel orchestration, letting it route prompts across GPT, Claude, Gemini, Llama, and open-source models.
- Srinivas said Perplexity’s enterprise business is its fastest-growing segment and that it has saved more than $100 million for top-tier enterprise customers.
- Srinivas argued the next wave is hybrid AI computing, with private tasks running on local hardware and heavier workloads delegated to server-side orchestration.
Notable quotes
“we really began to focus on the GPUs mostly because the GPUs were you can mine Ethereum with them. uh but you could also do all these other things”
“the concept that a GPU is no longer relevant or commercially viable after 16 more 18 months or two years. Yeah, that's it just it just doesn't make sense”
“what we do is we go out and we find a client. Let's use Microsoft. You brought them up before, right”
How the episode opens
I'm here at Nvidia's annual GTC conference and I'm going to interview four amazing AI CEOs. Stick with us. — Our episode is sponsored by the New York Stock Exchange. Are you looking to change the world and raise capital? Do it at the NYSE. The NYSE is a modern marketplace and a massive platform built for scale and long-term impact. So if you're building for the future, the NYSE is where it happens.
One of the great companies of the AI era is of course Cororeweave. They're building massive infrastructure for these hyperscalers. And in some ways, Michael Intrader, welcome to the program.
You're the original hyperscaler. you guys got in very early and secured your I don't know which GPUs you wound up getting but you were very early to this trend. How did you get to it so early and how did you build out this you know first I guess at the time neocloud?
Yeah. So we we didn't really start it as a Neocloud and I I uh I was uh running an algorithmic hedge fund uh focused on natural gas and uh when when you build an algorithmic hedge fund um once the algorithms are built you're really just monitoring it and testing different uh thesises and doing all that. But there's also a lot of downtime and we got super interested in crypto.
Um, and you know, we're pretty nerdy. We kind of dig under the hood and we started to get interested in the security layer. Uh, we looked at Bitcoin and the mining for Bitcoin and we didn't like it.
We just thought that like there's some brilliant engineer that built the ASIC and they're probably going to be better at running it than we are. So, we really began to focus on the GPUs mostly because the GPUs were you can mine Ethereum with them.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai future
- ceo outlook
- ai infrastructure
- ai models
- inference compute
Companies and tickers mentioned
- NVDA
- Nvidia
- CoreWeave
- Perplexity
- Mistral
- IREN
Watch the episode
Watch “Four CEOs on the Future of AI: CoreWeave, Perplexity, Mistral, and IREN” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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