00:00 Speaker A

I think you guys are on the same page when it comes to Nvidia. You’ve got a buy equivalent rating on it, Stacey. Nancy likes that one. Let’s talk about Broadcom for a minute because Nancy, this is one that you’ve liked for a while. Um, do you still like it? What are you going to be looking for from Broadcom, Nancy, going forward?

00:33 Nancy Tengler

Yeah, we do, Julie. I mean, it’s our largest holding across all of our large cap equity strategies, member of our 12 best, our five for 25. I think, uh, and it’s outperformed Nvidia pretty handily over the last year, almost double the returns for Nvidia on a trailing one year. We’ve always called it the poor man’s Nvidia. I think we’re going to have to come up with a new name. But one of the things that we’re going to be paying attention to is, of course, um, the AI revenues. We we’ve we’ve seen those compound at 60 plus percent. They’ve announced new partnerships. We want to hear more about that. Um, it seems that the rest of the business, the rest of the chip business may have bottomed. We’d like to hear some some information and and confirmation about that. And then I just think, you know, it’s just going to be about the future guidance. And Hock Tan has demonstrated he can acquire companies, make them accretive quickly. We bought the stock when, uh, it sold off on the computer associates that used to be the name of the company they acquired. Wall Street didn’t like it. They turned it around, made it a very positive acquisition. So we we’ll be listening for that, too. Are there any acquisitions they’re they’re planning to make? And I certainly hope one of them is not Intel.

02:34 Speaker A

Yeah, that would be something. Uh, Stacey, um, along with Nvidia, is Broadcom sort of, are those the sort of must-owns in the chip space?

03:05 Stacy Rasgon

Yeah, I frankly, in in chips, it hasn’t been great outside of AI, right? I mean, AI’s been super strong. The analog, more diversified guys, like the people who were playing those on cyclical recovery, some of those prints so far this earning season have not not been so great. There’s worries about pull forward and everything else. Again, you got companies like Intel which which frankly are a basket case. I mean, if it wasn’t for AI, this space would not be doing very well. So I I do like the AI names. We cover Nvidia and Broadcom. I like them both. Um, Broadcom is is just more expensive than it used to be. That’s the only only, you know, it was Right.

04:08 Speaker A

I guess hence Nancy’s comment that they’re going to have to rename it from the poor man’s video.

04:15 Stacy Rasgon

Yeah, and look, you know, you got to remember Broadcom like not all that long ago was like 16 times earnings, like now it’s like the multiple’s like like doubled, right? Um, they are showing a lot of AI upside. A lot of that comes next year, but they they’re clearly, I mean even the last earnings call a couple of months ago, they’re clearly calling for upside in their AI revenues next year on more inference demand. They’re a massive player on AI networking, right? So there’s there there’s a a big play there. And and and Nancy, I think, is right, they have the core semi business which admittedly has been lousy. They’re not the only ones. Everybody in though in those kinds of markets has has been lousy. It it doesn’t look like getting any worse at least. I we can we can argue about when it’s going to start getting better. I don’t know yet, but at least it isn’t getting worse. Um, you know, if you’re looking in in into the near term, I mean you could argue, again, we we like both stocks. Nvidia is cheaper. And you know, you know, they just they just got their China licenses, um, reinstated, so there’s probably more upside to their AI numbers this year for Nvidia versus Broadcom. I think the Broadcom AI upside comes next year and Broadcom’s a little more expensive. Um, and then there’s a whole ASIC versus, you know, GPU debate. But I I think you can own them both. Like I I I like them both. And again, AI is the only thing in semis right now that fundamentally is really working.