Rebecca Bellan

Things Rebecca Says on Podcasts

Senior reporter at TechCrunch covering business, policy and emerging trends in AI. Her work has also appeared in Forbes, Bloomberg, The Atlantic and The Daily Beast. Hosts episodes of TechCrunch's Equity podcast, with recent conversations on AI safety, superintelligence and AI-generated content detection. Has also appeared as a guest on StrictlyVC Download.

Where to Find Them

Rebecca Bellan hosts Equity and hosts and writes TechCrunch .

Recently: “Why Jensen Huang’s departure could end Nvidia’s gold rush” on Equity (November 2026); “How backlash and red tape continue to slow data centers post-Blue Wave” on Equity (November 2026); “Building on open source AI? Hugging Face’s policy chief on the costs, risks, and trade-offs” on Equity (November 2026); “The 'Vulnpocalypse' is coming for the internet’s aging code, says Wiz’s CTO” on Equity (October 2026); “Meta and Instinct are racing to build your AI assistant. Wabi has a different idea.” on Equity (October 2026); “Amazon drops data center NDAs, and AI agents want your credit card” on Equity (October 2026).

What They Said

The Equity hosts were discussing whether neoclouds like CoreWeave and Nebius are good businesses after this week's earnings. Bellan explains why they carry more risk than the big tech companies building the same data centers.

Equity · 2026-11-13 Permalink → Listen →
Equity Around 18:47 into the episode
Tim De Chant

I think that's going to be one of the biggest challenges for AI-related companies in the coming weeks with their earnings is how much of this is tied to the uncertainty around NVIDIA versus actually what it says about their companies.

Anthony Ha

…overall, like, you know, Core Weave is down pretty significantly for the year. And my sense is not that, oh, like suddenly the business for NeoClouds changed very dramatically. It's that Wall Street suddenly did not necessarily feel as optimistic about the long-term prospects of these businesses.

Rebecca Bellan

Yeah, I mean, it's, there's a few moving parts that make NeoClouds very risky. And that has really affected their stock price since they went public, you know, specifically Core Weave and Nebius. And I think one of the big ones, like if you look at hyperscalers, right? You look at Meta, Google, Amazon, they're building data centers, sure. They're spending a lot of money. They're going into negative free cash flow for this, but they still have other businesses that will help them float. Like this is the business. For these companies. So they're taking out stupid amounts of debt to fund a business that is really, there's so many things that can go wrong, right? Like there's so many things that can go wrong when you're trying to do a build out. Just look at Nebius with their New Jersey data center. They're trying, well, they're not building it, but they're relying on a third party to build it. And there's all these issues related to that one in terms of the types of generators they were using that were, you know, not Koch, definitely didn't have permits for them. That's slowing things down. They're having to change the energy source. Like, so little things can…

Speaker 1

and maybe you have some thoughts on this too, Rebecca, is does this undermine the theory that picks and shovels are what make money in a gold rush, right? I think a lot of people thought that there was going to be money in these tools, data centers, power, et cetera, surrounding the AI boom as…

Rebecca Bellan

software itself. And it's sounding like that's maybe not the case. I mean, yeah, I think it's hard to say. Like, how much does it cost to literally make a literal pick and shovel? Probably not that much. How much does it cost to make a data center? A whole lot more. And so much more can go wrong.

Anthony Ha

Yeah, I mean, it's something that I can imagine if everything works out great, then yeah, maybe that, you know, these numbers are going to be incredible in a couple of years. But like you said, there's a lot of uncertainty. Although I would also point out that something you said earlier, Rebecca…

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.

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