In short
“SaaSpocalypse” risk from AI spilling into leveraged buyouts and private credit—how AI-driven disruption of SaaS revenue could threaten highly leveraged software deals, especially via refinancing and interest costs.
Guest backgrounds
Paula Seligson, Bloomberg News senior reporter covering private credit and leveraged finance. Also discussed other Bloomberg segments/analysts, including Lippi Sternheim (Realloys CEO) and Rudina Ciceri (Glass Week Ventures founder/GP), plus Wu Jin-ho (Bloomberg Intelligence hardware/networking analyst) in later parts.
Key claims
AI may not fully kill SaaS yet, but could “chip away” at revenue growth, undermining debt service. In LBOs, the target company—not the private equity firm—is responsible for leverage. Debt risk is amplified by floating-rate interest and refinancing needs.
Notable examples
Medallia restructuring (Toma Bravo; $1.8B private credit; recurring-revenue loan; PIK/pick-payment deferred interest grew total debt). Lender confidence and software deal volumes falling into 2026; about $150B of debt maturities through 2029.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe SaaSpocalypse and Its Implications
2:09 to 3:18
Discussion on the risks AI poses to software companies and private equity investors.
“Well, it is the money issue from the Bloomberg Markets Magazine team.”
Understanding Leveraged Buyouts
3:18 to 6:09
Explanation of how leveraged buyouts work and their risks in changing markets.
“point when it comes to a leverage buyout.”
The Impact of Economic Changes
6:09 to 8:12
Analysis of how rising interest rates and changing market conditions affect companies.
“Yeah, but the thing is, the bets have been made.”
Potential Outcomes of the SaaS Apocalypse
8:12 to 13:00
Exploring potential scenarios for investors and companies in a SaaS downturn.
“So if revenue growth slows or even worse, reverses it all, that makes the debt potentially untenable.”
Potential Outcomes of the SaaS Apocalypse
14:11 to 14:31
Exploring potential scenarios for investors and companies in a SaaS downturn.
“Because around the age of 30, your body needs backup to keep your collagen up to help support healthy hair, skin, nails, bones, and joints.”
Critical Minerals and U.S. Military Initiatives
14:40 to 22:51
Explore the U.S. government's push for domestic critical minerals production.
“While the landscape shifts, one thing remains the same, the thrill of closing a deal.”
Critical Minerals and U.S. Military Initiatives
22:59 to 23:19
Explore the U.S. government's push for domestic critical minerals production.
“Because around the age of 30, your body needs more support for movement and recovery.”
AI Disruption and Investment Insights
25:01 to 28:06
Gain insights into AI investment trends and company performance.
“Catch us live weekday afternoons from 2 to 5 Eastern.”
AI Acquisition Targets and Cost Dynamics
28:06 to 30:03
Explore the dynamics of AI companies and the importance of data efficiency in acquisition targets.
“Let's say that goes through with the companies that you've invested in that you think do a better job than this.”
Shifting Narratives in Tech and AI Investments
30:03 to 31:26
Discuss the evolving narrative in tech with a focus on productivity and AI as a service.
“And they're like, well, if you want to pay a little bit more money, we can keep going.”
Show all 16 chapters
Potential of SaaS Companies in the AI Era
31:26 to 35:39
Examine the potential transformations of SaaS companies into AI-driven businesses and the associated challenges.
“beaten up or some of them rewarded depending on their results.”
Stock Movements and Market Reactions
35:39 to 37:12
Analyze stock movements, particularly focusing on Cisco and its market reactions amid AI concerns.
“because public markets are not giving them enough credit.”
Stock Movements and Market Reactions
37:16 to 38:44
Analyze stock movements, particularly focusing on Cisco and its market reactions amid AI concerns.
“This product is not intended to diagnose, treat, cure, or prevent any disease.”
Market Update and Cisco's AI Strategies
38:50 to 42:00
Review the latest market updates and Cisco's strategies for adapting to AI demands.
“You're listening to the Bloomberg Business Week Daily Podcast.”
Cisco's Growth in AI and Optical Business
42:00 to 46:41
Explore how Cisco shifted from minimal revenue to significant growth in AI with hyperscale cloud providers.
“Have they made some significant changes in that regard?”
Cisco's Growth in AI and Optical Business
47:56 to 48:21
Explore how Cisco shifted from minimal revenue to significant growth in AI with hyperscale cloud providers.
“Aging is real, and so are the benefits of new Vital Proteins Collagen Sparkling Water, because around the age of 30, your body needs backup to keep your collagen up.”
Transcript
Automatic transcript. May contain errors.0:00What if data didn't sit still? What if intelligence moved with us? Not buried in reports, but activated in real time, where lives are being shaped, where decisions are being made. It all starts with a question. Where is the potential? Cotality turns data into clarity, intelligence into insight, insight into action. Because when intelligence moves, we all move forward. Cotality. Intelligence beyond bounds. This is Jacob Goldstein from What's Your Problem. Running a business is hard enough. Don't make it harder with a dozen apps that don't talk to each other. One for sales, another for inventory, a separate one for accounting.
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1:29Visit VitalProteins.com to learn more and where to buy. These statements have not been evaluated by the Food and Drug Administration. This product is not intended to diagnose, treat, cure, or prevent any disease. Bloomberg Audio Studios. Podcasts. Radio. News. This is Bloomberg Business Week Daily. Reporting from the magazine that helps global leaders stay ahead. With insight on the people, companies, and trends shaping today's complex economy. plus global business, finance, and tech news as it happens. The Bloomberg Business Week Daily Podcast with Carol Masser and Tim Stenevek on Bloomberg Radio.
2:09Well, it is the money issue from the Bloomberg Markets Magazine team. And one story we wanted to bring to all of you, it really kind of seems fitting with some of the bigger narratives that are going on. It's about how artificial intelligence looms over software companies and the investors, Tim, who piled into them. More specifically, the buyout funds and the lenders who were drawn to reliable revenue and low costs are now facing an entire business model that is at risk. Here to explain is Paula Seligson, Bloomberg News senior reporter. She covers private credit and leveraged finance. She joins us here in the Bloomberg Businessweek studio.
2:39Congratulations on this story. We talk a lot about the SaaSpocalypse, but this is really a deep dive into leveraged buyouts and what initially was so attractive to some of these private equity firms about software. That's where I want to start because there was this joke like, oh, that's software margins. The margins on these companies for so long was so high. And that was part of the attraction. Absolutely. Because the better the margins, the more debt you can load it up with, right? The whole basically private equity business model is to use debt to lever up a company when they buy it. The debt is not borrowed by the private equity firm.
3:14The debt is borrowed by the target company being acquired. Please repeat that last part, because that is a really crucial point when it comes to a leverage buyout. Wait, isn't that a classic private equity also move? Yeah, exactly. This is how private equity makes so much money. It's through leverage, but the key thing is that the private equity firm is not on the hook for that leverage. The target company is, and that's kind of what's at stake right now. Well, so let's talk about this because I think one of the things that we keep thinking, is it one shoe to drop? Is it two shoes to drop? Is it a lot of shoes to drop?
3:43Because so far it seems to be manageable. So tell us about kind of what we are, what we've seen, but why maybe the situation or environment is changing for some of these names. Yeah. And so that's an important distinction to make. The SaaS apocalypse has not happened yet, right? This is all about the fears that it could be coming. So at the heart of it, AI technology has a potential to disrupt existing software businesses that were considered pretty much fine. And the fear is that, you know, you'll have certain types of software companies, especially affected. You know, if you are providing software, that's like the infrastructure layer of a company, probably okay.
4:20If you're doing data visualization and that's your main product, you can just plug that into Gemini or chat GPT. And those business models could be especially at risk. Can you do that that easily? That's a fair point. And that's one of the defenses people have, which is that, you know, if you're a big corporation, you have all your, you know, employees using certain products you're not going to have them just go off on their own and use ai but you know cloud code has developed very rapidly and that's maybe taking the place of some products that would help softer developers is the concern specifically that with some of these site types of services you describe and you write about you would have internally uh people create some sort of program maybe vibe coding or use cloud code to do this that would replace paying for seats of certain paying, like on a per seat basis for certain companies.
5:07Exactly. And the fear is that even if this doesn't fully disrupt revenue, it could chip away at it. It can maybe even just chip away at revenue growth. And that's where the debt comes in. I don't know. I'm still, okay, we'll get, I'm just still, I'm still skeptical of the whole, the whole thing. That you believe that it's going to actually work and that companies are going to entrust doing data analysis. Part of it has to do with, part of it has to do with like the pipeline of innovation at some of these companies. Like they're constantly iterating on their products and making their products better and better for their customers.
5:35I mean, that's the way that it's worked. You can't just get, you know, one person within a company to create a, you know, to replicate something that they've been paying for for years. But then have the updates and make it better and better. I don't know. I'm not trying to be a defender of all these SaaS companies. No, I think this is the big question. And this exact discussion we're having right now is what investors are trying to figure out. Is this a real risk? Is this not a real risk? And then you get to this point where, okay, I'm an investor. How do I pick winners and losers? How do I anticipate winners and losers?
6:07And that's where a lot of the questions are right now. Yeah, but the thing is, the bets have been made. The deals have been made. The debt's been issued, right? So then who's at risk? Like, let's, Paul, carry it out. Let's say there is a SaaS-pocalypse. It's so hard to say. But let's say this does happen. What does that look like? Who gets hurt? What investors get hurt? What companies get hurt? Who's on the line for the debt that ultimately doesn't get paid back or pennies on the dollar? So there are a lot of people who could be affected by this in the investment community. So first, let's talk about how a leveraged buyout works.
6:45So when a private equity firm decides to do this kind of transaction, they typically have two types of debt markets. And I think we have a chart on this. I'm not sure. So, and we'll bring it up and forgive for everybody on radio, but Paul is going to walk you through it. Yeah. So basically, you You know, the way this works is that the private equity firm is buying a company and it can essentially finance some of that with its own equity commitment, which is just cash. And then it can finance part of that with debt. And when it decides to finance part of that with debt, it can tap one of two markets, the public syndicated debt markets that consist of high-eld bonds and leveraged loans, or the private credit market, which grew very rapidly starting in roughly 2020 to compete with the high-eld bond and leveraged loan markets.
7:24That private credit component is very interesting. We should never discount the leverage on high-hold bond markets. Those are still very big parts of this financing process. But private credit grew a lot, and they were also willing to do more aggressive deals than the syndicated counterparts. And so, you know, having debt on your balance sheet really creates two problems for a company. The first is you have to pay the interest expense. And the second is you have to refinance it. And both of those will have issues if revenue starts to come down at some of these companies. Right. And we just had a chart up, but it really shows what the buyer, the title on that graphic was, how a PE fund can buy a$6 billion software company for$3 billion because they just put up$3 billion and then they've got the lenders on the debt side putting up the rest.
8:07Exactly. And so what we're seeing now is basically questions over how this will unfold. Because when a private equity firm levers up a company in this way, they're doing it because they believe that they can rapidly increase revenue and rapidly slash costs so that the company can basically grow over time to adapt to its large debt load. That means revenue has to grow, right? So if revenue growth slows or even worse, reverses it all, that makes the debt potentially untenable. Who's at the top of the debt stack here? So that would be the senior secured lenders. It varies depending on the exact structure.
8:39But notably, the private equity firm is at the bottom of repayment, right? Because the way debt works is basically the debt investors get paid back first. And if there is restructuring or bankruptcy, typically the equity is wiped out. Medallia is a very interesting example of this. It's important to note Medallia is a software company. Its problems predate the current AI concerns. It had its own set of issues. But in that situation, Toma Bravo and his co-investors lost$5 billion, one of the largest wipeouts in private equity in years. Well, let's talk about Toma Bravo. I mean, people who listen to our program, we've spoken to Orlando Bravo in the past.
9:12We spoke to him at Milken years ago in a completely different environment than it is today. We weren't talking about a SaaSpocalypse. No, everybody was just chasing private credit and wanted exposure and put it anywhere. And this is a firm that for years has been all about software. So talk a little bit about the Medallia example, but also Toma Bravo's role in this. Yeah, so Toma Bravo took Medallia private. It seemed like a very smart investment at the time. they used a 1.8 billion private credit loan to finance it, and specifically a recurring revenue loan. So what is common in earlier stage companies is they're not generating a lot of like earnings or what's called EBITDA yet.
9:48And so an alternative is to base the loan off of recurring revenue. In old debt times, that would have been considered pretty extreme and lenders want to see a history of earnings. But for the newer software companies, that was considered more common. And so it also had a special feature, this is getting technical, called pick or payment in kind, where you could basically defer some of the interest by adding it to the principal payment of the debt later. And so basically this company tried to increase earnings. It couldn't, but because it was picking the debt, the actual total debt size kept increasing and it ended in a very unfortunate restructuring earlier this year.
10:24Right. So the target for success had to be even higher because the debt load kept hiring because they kept adding on the interest. Exactly. And again, And that's what is hard about debt is it amplifies risk. You know, it's so funny. It's not funny. We talk a lot about the software space. I mean, what do investors look for? Is it a case of a bunch of deals starting to have problems? Is it a case of a big deal? Or we just don't know. How do we know if this is going to become a bigger problem? Is it a higher rate environment that all of a sudden makes it trickier? What's the thing that maybe tips everything over?
11:00or all of a sudden AI is just doing everything that these companies do? Yeah, so it's kind of twofold. So first, can a company pay its interest expense? And that's where the rates question comes in, right? A lot of these leveraged buyouts were done in the 2020 to 2022 era, and they all use floating rate debt for the most part. So as the Fed increased interest rates, their borrowing costs also increased, which caused problems and squeezed their liquidity a bit. And to be fair, I think they thought, right, three to five years, they would be exiting. Exactly. And then that became problematic. And that's the other component.
11:29As interest rates increased, valuations fell, making it much harder to sell a company. Private equity firm doesn't want to sell it for less than it bought it for. That's a nightmare, right? And so a lot of companies are basically just stuck and they can't be sold or IPO'd right now. Then the other part of this and the real test is the refinancing, because a lot of the debt is roughly seven years of maturity. And so a lot of that debt's actually coming due. Between now and 2029, there's about$150 billion of it across syndicated public and also private markets. And so each of those is going to be a test case, basically.
12:01You said earlier in our conversation that it's unclear at this point if the SaaS apocalypse has actually happened. I think some public market investors would look at some shares of SaaS companies and the way they performed over the last 12 to 18 months and said, wait a second. It looks like public market investors have made a decision, at least as of now. When do you think we'll be able to definitively say whether or not there is or is not a SaaS apocalypse? I think it's just going to be something that unfolds slowly in the coming years. At least in the debt markets, it's going to be kind of on a case-by-case basis.
12:31Okay. Well, and the other thing, if we can bring up our last chart, we just have about 30 seconds here. You have seen basically investors or lenders growing wary, right? So we do have a chart that shows buyout funds binged on software deals. But if you look at 2026, you can see that has come down dramatically. Exactly. And lender confidence is key because if you lose access to debt capital markets, at the very least, your borrowing costs will go up even more. And in a worst case scenario, you might not be able to refinance at all. And either of those can cause a restructuring. Right. Can create the problems.
13:03So, all right. TBD, we're watching. This is a great explainer of why we're watching and kind of some of the maybe metrics to keep an eye on. A masterclass, too, in understanding the structure of these things. Thank you. Thank you. So appreciate it. Paula Seligson, she's Bloomberg News senior reporter. She covers private credit, also leveraged finance. This is in Bloomberg Markets Magazine. It is the money issue. There's a bunch of stories in there. They're just so smart. They're very deep dives. It's good stuff. Stay with us. More from Bloomberg Businessweek Daily coming up after this.
13:39What if data didn't sit still? What if intelligence moved with us? not buried in reports, but activated in real time, where lives are being shaped, where decisions are being made. It all starts with a question. Where is the potential? Cotality turns data into clarity, intelligence into insight, insight into action. Because when intelligence moves, we all move forward. Cotality, intelligence beyond bounds. Aging is real. And so are the benefits of adding Vital Proteins Collagen Peptides to your daily routine. Because around the age of 30, your body needs backup to keep your collagen up to help support healthy hair, skin, nails, bones, and joints.
14:22Available in the classic collagen peptides, collagen and protein shakes, and new Vital Proteins Collagen Sparkling Waters. So you can stay vital, stay you. Visit VitalProteins.com to learn more and where to buy. These statements have not been evaluated by the Food and Drug Administration. This product is not intended to diagnose, treat, cure, or prevent any disease. Everyone's talking about how AI is transforming work, especially in sales. While the landscape shifts, one thing remains the same, the thrill of closing a deal. Whether it's a gong or a confetti machine, every team has its celebration rituals.
14:52Adio is designed for that moment. It's the agentic CRM that turns customer signals into actionable insights, helping you close deals faster with revenue agents and automations working around the clock. You'll have everything you need to scale your go-to market efforts. Elevate your wins with Adio. Start your free trial at adio.com slash iHeart. You're listening to the Bloomberg Business Week Daily Podcast. Catch us live weekday afternoons from 2 to 5 Eastern. Listen on Apple CarPlay and Android Auto with the Bloomberg Business App. Or watch us live on YouTube. Hey, back in late June, we reported out how the U.S.
15:28Army struck deals with several companies to build critical minerals processing plants to do it on military bases around the country. It was a first-of-its-kind initiative by the Trump administration to boost domestic production of these key materials. Realloys, Titan Mining, Ioneer, Limited, Energy X, all had reached agreements with the Pentagon to build out some facilities to do just that. And just last week, President Trump, we talked about this all week. He touted that$3 billion in U.S. investments in critical minerals mining at a meeting with top industry executives. That was aimed and that is aimed at weaning the U.S.
16:02off supply chains that have been dominated by China. This week, Carol, we've been digging deep in critical and rare minerals. Those that are quite literally digging deep to get them. They are indeed. One such individual is Lippi Sternheim. He's president and CEO of Realloys. He joins us from Palm Beach, Florida. Lippi, it's great to have you here. Your stock's up almost 60 % year to date. I will point out 19 % of the float is short. It is way down from a high back in September of 2021. You do come out with earnings, so I know there's certain things that maybe you can't get into. Tomorrow earnings, right?
16:33Tomorrow, yes. tomorrow. Hey, you are always considerate to give us some time. Tell me a little bit about how things are going, because it feels like there's been time where the White House is spending a lot of time on this and it backs off. But give us an update. Thank you for having me. Nice to be back. I'll give you just on the Army side, which you just finished talking about. We're working very closely with them to get to the finish line. Obviously, there's a lot of things that go into it. Aside from just a lease and putting up a building. There's water needs, power needs, all the different things that go into a facility like this.
17:07There are significant demands, and we're making sure that all those are in place so that we can actually accelerate our process of being on the Army base with our process, whether it's separation, metallization, and things like that. So they're actively, very actively involved, and daily talks to get to the finish line on that. in general, you mentioned Trump's last week roundtable meeting or Washington meeting with the executives and the money that they're giving out. There seems to be no slowing down to the government's interest in making sure this happens. And since you mentioned you've been digging in, you probably know why.
17:46There's still a massive gap between us doing anything and China controlling the process. How big is that gap? Like when you say massive, how do you measure it? Has anything changed. It won't change overnight. I think I mentioned this to you last time, although everybody would want it to be. Yeah, we're impatient. That's the thing. We keep asking about this. Clearly, but it does take time. The reality of it is it goes back to that waiver to that no waivers executive order that Trump put out the other day. If you read it closely, there obviously always has to be an exception to the rule and things like that.
18:21But what it tells you is that there's a there's a very very significant need to get and wean yourselves over china and we're not playing games and you really need to be on top of this but something that took four decades to build up in china is not going to take four weeks to build up in america so realistically speaking you know you have the process as i mentioned to you last time very slowly the other the separation which is the biggest and that's really what we're focused on the separation of rocks to rare earth and you have the metallization which is another significant component and then you have the magnets at the end so if you open the magnet factory tomorrow you still need to have what to make go through there to make and that boils down to separation which for heavies as i always say there's lights in the heavies and we're mostly focused on defense needs which are the heavies you know for the higher temperatures and things that you need heavy rare in the mixed floor.
19:12So in a realistic world, I would say we're still a few years away. I mean, we're looking at that January 1st defarce cutoff and making sure that we're aligned next year to deliver, whether it's metals initially and then onwards later, obviously, we left the scale of magnets, but just metals and oxides that are North American made. And we're really trying hard to come to that deadline with actual material to the table. And I think we're there. But others, you know, in the space, myself included and all the other companies, we're all working really hard to get there, but it does take time to build up an entire industry.
19:46And these things are not simple, you know, turn on, turn off, you know, put up a switch. You keep saying it takes time. We know that, but it also takes resources. And that's where the U.S. government and that's where this administration has been. And that's something that we've talked a lot about, Lippy. And I'm just curious what else you need or what else you think the industry needs from the U.S. government? I think right now things are moving along. We, as a company ourselves, and we'll put that out, as you said, tomorrow. So we'll talk about that next time. But we're funded for our processing rollout and our metallization rollout.
20:18We haven't taken money from the government yet, and we're funded for phase one. We'll get to the finish line with making metals by 2027 and then scaling it up. For us, it's not a matter of actually making. It's about making more. Yeah, I'm getting to the finish. They're making more. But the other companies that are getting funded, they are working, you know, whether they're magnets or they're metals. We're the most focused on heavy rare earth. And we're on target for next year to start having production and obviously to keep scaling up year after year. But it still will take us to 28, 29 to get to a full, you know, where we can supply more than just, you know, little bits and pieces.
20:54You said you haven't taken. Yeah, I'm sorry. No, no, no. You finish, please. I was going to say, when I say it takes time, you know, you're looking at really magnets, you know, whether it's, I'm not going to, like I said, all the companies, look at the three, four companies that you're very familiar with that are in the news every day. They'll all tell you 28, 29, 30, 31. And it takes a few years. And that's if everything goes right. Our interest was to take what's existing now. So we had the SRC in Canada. They're nearing completion on their phase one plant. And our metallization plant is under construction.
21:23And again, our interests are to get to heavy rare earths to the metal form as soon as possible. And by next year, not promises about five years from now, but actually deliverables now with commitments to scale. Hey, just got a minute left here. You said you haven't taken government money yet. Is it because you don't need it? You don't want it? You're holding off? Like, what's the deal? At the moment, for what we've done, we don't need it. We're in talks, obviously, for further things. If the army expansion goes more than just a lease on their property, for example, or in other words, if we go bigger and faster on Scala.
21:54For the moment, privately, we raised $100 million from very significant institutions, which was publicly disclosed, and$50 million before that. We were leveraging off what the other companies that we bought out or partnered with had spent hundreds of millions of dollars doing. So we don't fall into the boat of give us a billion dollars and we'll go build everything for you in 10 years. We're building it as we put our money where our mouths. We're actually building it and showing results. And then we can go back with a stronger hand and say, you know, if we want to add this or add that. But so far, we've been doing fine with the industry funding.
22:24Obviously, we're in talks with many different various factions of the government. There's the administration. There's the army. We put out the EXIM loan and we want to get, obviously, something to do with that. But, you know, it takes time. These are commitments. You know, that takes time. And we'll get there as we scale up. We're not in a rush tomorrow to need money. All right. We'll really appreciate it. Like we said, we've been doing a deep dive this week. So, Lippy, thank you so much. Stay with us. More from Bloomberg Business Week Daily coming up after this.
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23:32While the landscape shifts, one thing remains the same, the thrill of closing a deal. Whether it's a gong or a confetti machine, every team has its celebration rituals. Adio is designed for that moment. It's the agentic CRM that turns customer signals into actionable insights, helping you close deals faster with revenue agents and automations working around the clock. You'll have everything you need to scale your go-to market efforts. Elevate your wins with Adio. Start your free trial at adio.com slash iHeart. A big part of parenting today is figuring out which technology will help your kid and which might hurt them, especially when it comes to learning.
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24:42Brilliant even helps them set goals and keeps them motivated so you don't have to. Brilliant was built by experts from MIT and Harvard and is trusted by millions of parents and teachers. Sign up today at brilliant.org slash tutor and get 20 % off for back to school. That's brilliant.org slash tutor. You're listening to the Bloomberg Business Week Daily Podcast. Catch us live weekday afternoons from 2 to 5 Eastern. Listen on Apple CarPlay and Android Auto with the Bloomberg Business app or watch us live on YouTube. The ever evolving and fast moving AI world. We just spoke to Ryan Gould all about that anthropic story.
25:19Databricks, too, in the news, secured a five billion dollar in funding. OK, that's like a used to be a big round. Still a big round. I know, right? Yeah. One hundred ninety billion dollar valuation. It's the second round of financing just this year. Remember, they do software. They compete with Snowflake. They compete with Alphabet, among others. There's so much going on. We spoke at Ali Goadzi before the CEO of the company. There's a story about workers are teaching AI-powered robots to take over their jobs. Pass. I bet so. A go-to voice for us on the evolving AI story has really become longtime investor Rudina Ciceri.
25:56She's founder and managing partner at Glass Week Ventures. She invests in companies where AI is the core architectural foundation. She's been investing in and identifying the next generation of winners as the AI disruption and spend and impact evolve. We say this all the time just to remind you of what her perspective is. So liquid AI, recursive, Bronco AI, Flux, Crane, I could go on. That's like 2 % of the portfolio. She's got quite a portfolio. She's back with us from Boston. Good to see you. Good to talk with you. I don't know. Go through some of the things. The Anthropics story, like Descartes AI, it wasn't even a company that was on our radar.
26:34How are you seeing things continuing to unfold? Good to see you, Carol and team. So it's interesting. I was following your earlier conversation as well. And fundamentally, what we are contending with in many of these stories is the notion that current models and the delivery of AI as an outcome is very, very compute heavy because the models are very, very data hungry. In many ways, neural nets is the basis for what we're seeing today with Anthropic and OpenAI and others. Their success is also their limitation, which is they're not efficient. So in any facet of the technology market today, private or public, you are seeing major attempts to tackle the efficiency of performance in every step of the way.
27:26So your story that you covered around the acquisition talks for Descartes, that's an attempt by Anthropic to basically get inference and training to be more efficient. As a side note, I heard you, Carol, ask whether there were other companies. We invested in MacGen, which is far in a way better in performance than Descartes. And there are others like Together AI and whatnot. So there are a number of players trying to tackle that from an inference and performance point of view. So would you say, yeah, I just want to jump in because, you know, if we're thinking about Anthropic and Descartes, would then let's say that goes through.
28:05And again, our Bloomberg News team reporting the deal hasn't gone through and it could still fall apart. Let's say that goes through with the companies that you've invested in that you think do a better job than this. Would those become acquisition targets by, let's say, an open AI? Potentially. At this stage, anything goes. And I don't mean to be sort of laissez-faire about that statement. But in this moment in time, the emerging incumbents in the AI infrastructure are really racing to who can perform better. And it's not about the better model. It's really about the better data that then informs the better output.
28:42The more efficient output, the more cost-effective output. With AI, we are paying in tokens, we being the enterprises and the users. It's a consumption-based model. That's a huge deterrent to use, which is what Anthropik, OpenAI, and others build their performance on. The more you use, the more they succeed. But if the cost is high and that's the best that they can do delivering the product, that becomes a barrier. So what do you do? You try to evolve your models to make them less data hungry. And you see a number of neo labs that are looking at that. Think about unconventional AI. I don't know if you've come across them, but it's an incredible team that is basically doing a vertically integrated play from the chip and redesigning the chip all the way to the foundation model and everything in between.
29:32And really kind of taking an approach similar to your mind rather than the brain. So if the neural nets or what anthropic and open AI are doing are the brain-like processing, data-hungry, our minds need very little data. And we can draw quite a bit on inference and train, if you will, and come to conclusions. So they're taking a whole different approach to solving this problem in a fully integrated manner. I share that to say that there are many, many attempts in the market to solve that challenge. Can I just tell you, though, I was playing around with one model, asking questions back and forth, and then all of a sudden I was cut off.
30:08And they're like, well, if you want to pay a little bit more money, we can keep going. And I kind of jokingly was like, well, wait, shouldn't you be paying me because I'm helping you make this model better? Like, it's a little bit crazy, right, in terms of this model right now. Well, but Carol, you gave that right away when the web came about and the Internet came about with our searches, with everything else. I mean, you know, you'd be hard-pressed to find a single company, a tech company that went out on a privacy message and had a privacy product that succeeded. You know, we are way more aware of what data privacy means today than we were even 5 or 10 or 15 years ago.
30:49But in many, many ways, that's a little bit of a table stake. And we would have to do a huge turn. Even Cambridge Analytica, which now feels like an ancient story, didn't really turn the tide. Yeah, that's pretty wild, right? Remember, we were all in an uproar over that and that here we are today. So I think it's interesting what you just said. And I do think about efficiency and kind of the next wave. Is that the next wave, the next narrative that we're going to be talking about even more and more? We've been talking ROI a lot more than we ever have before. And you do start to see certain companies, whether it was some of the hyperscalers, getting beaten up or some of them rewarded depending on their results.
31:30So where do you see kind of the narrative going and the companies that I'm curious of any new investments that you have recently made? Because as you continue to see this AI story evolve. Yeah. So let me part that question in its two parts as I address it. So in terms of what we are seeing in the market, I think fundamentally productivity is the key word. Measure productivity. So you could use ROI as a measurable reflection of that. You could use reducing costs as a measurable reflection of that. But ultimately, it's about productivity and deploying, you know, delivering productivity at scale for business and consumers.
32:13So the input is revenue, the output is cost, hence this entire discussion. Farther to that, though, we're also seeing a shift in business models. And this is a fundamental shift. The notion of software as a service may be dead. Every enterprise, especially mid-market enterprises, are looking for AI as a service. They're looking for someone or a set of entities that deliver beginning to end outputs. And the bigger enterprises are taking the view that they will no longer purchase software or technologies from third parties. Instead, they will get the horizontal layer, think Microsoft Fabric and others, and then build Aegis internally.
32:57So we're entering a new era, if you will, of how tech will be built, how it will be used, and how it will be monetized. In terms of most recent investments, I will save the name of the company for now because they're in stealth. But we're very excited to have backed a high-flying team that was previously at Crusoe, Airbnb, Meta, Google. So sort of all the credentials where they built and managed the clusters in the data centers cradle to grave. And this team is really sort of off building AI and forward deployed engineering to manage those at scale. So I'm quite excited. Well, speaking of acquisitions or potential, there's a report.
33:40Bloomberg has not been able to confirm it. So we're trying to be very careful about this. But we have seen shares of Workday jumping big time on a Reuters report that private equity firm Silver Lake is in talks to purchase the software provider. And we know that this is a company that's been hit. Shares have been under pressure because of concerns about being threatened by AI startups. You just said, I think you said almost all SaaS companies are really threatened. Is a company like this, do you not see value in what they do going forward? An opinion. That's all. Yeah. Yeah, it's an opinion. And I hope it's somewhat of an educated opinion.
34:18So I have zero visibility as to what's happening between Silver Lake and Workday. Filing that to decide, look, Workday has a set of customers. And, you know, empires die, but they die slowly. even smaller empires. So there is value and retention value in what Workday delivers and honestly, the switching costs around it for its current customer base. I suspect, I do not know, but I suspect that what a Silver Lake partner would believe is in their ability and the management's ability, or if they're bringing you management in that group's ability to transform workday from a, you know, historically SaaS and maybe with some AI wrappers to a true AI company while having the cash flows and the retention rates that it has currently with its customers.
35:10That has to be the bet. I will deliver the product in an AI, perhaps AI first or AI as a service manner. And I have an incumbent customer base that I own that I can push it to. If they can execute on the go-to market, that probably is the bet. So again, Bloomberg's not matching this reporting. This is a Reuters report. But if this indeed happens and it gets taken private, will we see more of these take private deals of these SaaS companies? Potentially, in particular, if there is a belief that they're undervalued because public markets are not giving them enough credit. Why not? Absolutely. Interesting.
35:46Okay. And can every SaaS company be converted into kind of an AI play? And again, and just got about 25 seconds real quick. Yeah, and that's the$1 trillion question. It's like saying, think about digital transformation and what enterprises and companies had to do with that. It's a complete transformation from a business model to a workforce usage to how things are built. Having said that, they are tech companies. So presumably, their teams are hungry users of any new technology. Will all of them make it? Probably not. But is it a closed door? No. Great stuff. Perfect. Perfect guest today. Regina, thank you so much.
36:28Regina Ciceri, again, founder and managing partner of Glass Week Ventures. We are driving to the close. We've been keeping an eye on shares of Cisco. They're down almost 9%. We're going back to the beginning of the year. That's significant. Stay with us. More from Bloomberg Businessweek Daily coming up after this.
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39:07We've got just about 18 minutes to go until we wrap up the trade on this Thursday. Carol Masserton, Stanivick, Live in our Bloomberg Interactive Broker Studio. Hey, just up about 53 points on the S &P. Just a reminder, if you missed the last report there with Charlie. And you've got the NASDAQ 100 still up about 1.25 % here. So, there is a good chance we are going to see. What's the number, Carol? What is it? You wrote it down. Charlie told us. Yeah, well, first of all, it could be the first close above 7 ,800, which would be a new record. Okay, that's what it was. Yeah, last record close, I think, was August 7th, 7 ,757.
39:43This is why I have you write it down. This is why I have a Bloomberg in front of me. Anyways, one of the names we wanted to talk a lot about was Cisco. Stock was down as much as 10 % today. It's still down just shy of a 9 % decline. And that is coming after we got earnings last night. I want to bring in Wu Jin-ho. He's Bloomberg Intelligence Hardware Networking Senior Analyst. He joins us from Princeton. You know, is it the AI outlook here? Is that what has investors concerned, Wujan? You know what, Tim? I'm really not hung up on the AI network. In actuality, they raised their 2027 guidance from$6 billion to about$7.5 billion.
40:22So I'm fine with that. Quite frankly, I think it might be a gross margin outlook, right? And there's a couple of things that's going on here. From a gross margin standpoint, they had a stellar fourth quarter gross margin primarily because of price hikes, right? That's the first quarter outlook as well as the fourth quarter results. But if we look at quarters two, three, and four, it looks like that the memory impact as well as the price hikes impact diminishing could bring down that gross margin by about 100 basis points. So, you know, the lack of sustainability of keeping gross margins in the 66 % range might be spooking some investors.
41:05How much of it, too, Wujan, is that the stock's up, even with today's decline, 46%. So, again, some of it is good news factored in or high expectations by investors in the analyst community of what they were expecting because of what we've seen. I mean, I don't know. Is that a factor as well? Look, Carol, the last time I was on with you guys talking about Cisco, we were partying like if it was 1999. That's an important date reference, isn't it? Yes, it is, right? And I do think that given that in terms of their exposure to AI and Cisco becoming a growth company, I think there was a little bit of enthusiastic tailwinds heading into the print.
41:51But are they making progress in terms of what they've traditionally been known for and then looking at living in an AI world? Have they made some significant changes in that regard? Oh, absolutely. So if we break down the numbers here, and Chuck said this on the conference call, a couple of years back, they had no meaningful exposure with the hyperscale cloud customers. right you know if we think about the the names of the hyperscale cloud customers with with networking exposure the one name that comes to mind would be with be Cisco with be Arista right they essentially went from zero revenue in AI with hyperscale cloud providers to 7.5 billion over the span of two years and look it's not all switching optical has been a very very hot area And look, they've captured, I wouldn't say lightning in a bottle, but they really pivoted and leaned into that optical business to capture that growth, to be a number one or number two shareholder in that space.
43:00So they've been doing very, very well in the optical space. But, Wuj, how do they keep that position moving forward? Oh, technical innovation, right. They can do it? Oh, absolutely, right. And I'll tell you, Tim, there are only five companies, five non-China companies, that's able to do what Cisco can provide on the hyperscale cloud optical space in that particular space. And Cisco, Marvell, Sienna, Nokia are four of the five of them, right? And Cisco has the silicon. They have the scale to provide a lot of that volume. Any questions or things that you think weren't answered as clearly as maybe they needed to do, though, on the call?
43:46Yeah, I mean, there are a couple of things, Carol, that they should have answered, I think, a little bit more clearly in terms of the cadence. Number one, of the traditional networking business. And then number two, you know, Chuck kept on talking about this super cycle, right? And my concern about the super cycle thing is that, is this a pull forward of demand of a traditional five-year cycle? And are we going to have like one or two years of really, really great equipment revenue? And then years three, four, and five really start fizzling out. And for a long-term investor, that could be somewhat of a concern.
44:29And then the last thing I probably would have asked them is that, hey, when does gross margin rebound? right because if soft if you guys claim to have been a software business in the past with higher gross margins should we start seeing gross margin rebounding okay those are those are some of the questions um i'm from a competition standpoint like in different businesses and sort of the most important businesses how does cisco compare to to some of the u.s competition sure um tim to put it in a nutshell uh 800 pound gorilla in the traditional campus switching business so all the PCs that connects all the networking gear that connects all the PCs and the Wi-Fi equipment, number one, like 45 to 50 % market share in the U.S.
45:12and in Europe. And if we think about the optical space, I said there are one or two in market share for cloud. Where they really started to soften up a little bit is probably on the security space. They were number one market shareholder, but they're really trying to firm themselves up there. Who has that? Well, I mean, guys like Palo Alto, but it's a very fragmented space. So if we look at each of the spaces, Cisco is a top three vendor there. Each of those individual spaces. So net net, though, investors overreacting, in your view, to the downside? Quite frankly, I think there's still upside to the guidance, especially on the AI side.
46:00Keep in mind, I think all throughout earnings season, there's still quite a bit of supply constraints, right? And one of the questions that I've received from investors today was that, hey, they booked like$9.3 billion in orders. Why are they only seeing$7 billion in revenue? Well, some of those orders are coming in to calendar 2027 and into 2028 because they want to get their orders in line for future data centers. And Cisco is not alone. We're hearing it from several other vendors. So the demand is so high that they want to get online to make sure they get the supply. Interesting. That's why we wanted to talk to you.
46:38Hey, listen, thank you so much, Woojin. We really appreciate it. Woojin Ho, he is Bloomberg Intelligence Hardware and Networking Senior Analyst joining us from our Bloomberg News Princeton Bureau. This is the Bloomberg Business Week Daily podcast, available on Apple, Spotify, and anywhere else you get your podcasts. Listen live weekday afternoons from 2 to 5 p.m. Eastern on Bloomberg.com, the iHeartRadio app, TuneIn, and the Bloomberg Business app. You can also watch us live every weekday on YouTube and always on the Bloomberg Terminal.
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From the publisher
The people, companies and trends shaping the global economy. Watch Carol and Tim LIVE every day on YouTube: http://bit.ly/3vTiACF
“SaaSpocalypse” was the buzzword in markets in the early months of the year, as new AI tools emerged to threaten the business models of software-as-a-service providers. A massive software selloff ensued in public markets and quickly spread to the world of private capital, where firms had spent billions upon billions of dollars stacking their portfolios with SaaS companies when interest rates were low.Suddenly those investments — built on the assumption that subscription revenue from software companies was ever-steady — looked like castles built on sand. fears that rapidly developing AI tools could replace existing tech products still have investors worried that a swathe of SaaS wagers could go sideways all at once. That could bring some nasty consequences for private equity firms, private credit lenders and also retail investors who have built exposure to software loans.
On today's episode:
- Paula Seligson, Bloomberg News Senior Reporter
- Lipi Sternheim, CEO of REalloys
- Rudina Seseri, Founder and Managing Partner of Glasswing Ventures
- Woo Jin Ho, Bloomberg Intelligence Senior Networking and Hardware Analyst
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