Motley Fool Money - Can AI Build Moats?

Episode Date: September 5, 2024

It takes more than a buncha buzzwords to build a company. (00:21) Tim Beyers and Mary Long discuss: How jobs reports impact investment theses A tech company’s changing identity What C3.ai actually ...does (14:48) Sanmeet Deo joins Mary for a look at how a chicken restaurant cooks up success. Learn more about the Range Rover Sport www.landroverusa.com Companies discussed: AI, NVDA, MSFT, WING Host: Mary Long Guest: Tim Beyers, Sanmeet Deo Producer: Ricky Mulvey Engineers: Dan Boyd, Austin Morgan Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript
Discussion (0)
Starting point is 00:00:00 This episode is brought to you by Indeed. Stop waiting around for the perfect candidate. Instead, use Indeed sponsored jobs to find the right people with the right skills fast. It's a simple way to make sure your listing is the first candidate C. According to Indeed data, sponsor jobs have four times more applicants than non-sponsored jobs. So go build your dream team today with Indeed. Get a $75 sponsor job credit at Indeed.com slash podcast. Terms and conditions apply.
Starting point is 00:00:29 There's a new release for, from the artist formerly known as C3 IOT. You're listening to Motley Full Money. I'm Mary Long, joined today by Tim Byers. Tim, thanks for being here. Thanks for having me, Mary, fully caffeinated, ready to go. Same. Also got my coffee, ready to go. We're going to start today looking at some jobs data
Starting point is 00:01:01 and then zoom into something to company reports that are a bit more specific. There's a few different pieces of jobs data that are out this week. Yesterday, the Bureau of Labor Statistics reported that July saw the lowest number of job opening since January 2021. Today, payroll processing firm ADP put out a report that corroborated a lot of that data. There's another jobs report coming out tomorrow. Lots of numbers, Tim. How should investors be thinking about these, if at all?
Starting point is 00:01:28 I mean, I'm going to be honest. I do not think about these numbers at all in terms of investing theses. But it does seem to me that it's an interesting labor market in that it might be a little bit tighter than than we expected. So that's kind of fascinating, especially with all the layoffs we've seen in tech. So I find that's somewhat surprising, but also somewhat encouraging. I mean, maybe you have people who are landing back on their feet. What I hope is not the case is that those people have not landed on their feet and just employers have stopped hiring. That would be much more problematic. So I don't know which it is, Mary, but my hope is that.
Starting point is 00:02:13 that a tighter job market means that we are getting people into roles that, you know, that, that work for them and that work for companies, it would be more problematic if it just means idle employees that have been laid off recently. So I guess we'll have to see what the unemployment rate is when it, what's paired with these jobs numbers. But I think it would be harder to, like, if there are some tough numbers in the unemployment rate, for example, would it be useful for the Fed to take action the way that they've been talking about this to maybe lower some rates and try to stimulate some things? I mean, that wouldn't be the worst thing, would it?
Starting point is 00:03:02 We'll leave the macro behind and turn to a company within the tech industry that reported last night. C3A.I reported yesterday, we're going to dive more. to those numbers that they shared in a moment. But first, some clarification. And Tim, I'm hoping that your background and PR comes in extra handy here. Oh, boy. C3AI is, quote, an enterprise AI application software company.
Starting point is 00:03:26 Okay. It helps retailers use data to, quote, this is me pulling directly from their website, improve profitability and minimize costs. It helps governments, wait for it, Tim, rapidly address their most pressing needs. What does all that mean? Is that what AI does?
Starting point is 00:03:42 That is an outstanding example of buzzword bingo right there. Exactly. Hit all the markers. Hit all the markers there. This is something we see from time to time and something that, yeah, in my PR background, there is never a shortage of companies that flood to the narrative of the moment when the narrative emerges. And in this particular case, the narrative is.
Starting point is 00:04:11 is, how can I connect to AI? Everybody, everybody wants to be connected to AI. And in C3AIs case, they actually have been talking AI for years. And what they say is they're an enterprise AI application software company. What that means is that they have a suite. They do several things. But the thing that distinguishes C3 AI is that they have a bunch of pre-built applications that allow you to, and some of this is, you know, AI workflows. I would call it more machine learning than I would specifically AI, but that's in the same range of AI. They've been around for a long period of time. A lot of data processing, a lot of automating. A lot of automating. workflows and these pre-built applications that can pop into your environment are what C3AI has been
Starting point is 00:05:17 building for years, and they build them across a bunch of different industries. You said C3 IOT for, you know, earlier in the intro. That is kind of the thing that they do. They've always had a bit of applications that are designed for a specific business problem or a specific industry. And so they roll these up and they say, we have a big platform. We build a lot of AI applications. And so the argument is you want AI. Great. Let us give you something that provides automation, workflow, machine learning, all that stuff. Pre-build it. You plop it in. We'll We'll put some professional services against that, help you get it up and running, help you customize it, and you're often going, versus you use a generative AI tool or you use some other tool and you hire a bunch of engineers and you have a bunch of maybe access to a bunch of Nvidia GPUs and you build something from the ground up. C3AI says, why would you build it from the ground up?
Starting point is 00:06:30 Use our stuff, use our applications, our templates to accelerate what you want to build and you customize it. So in other words, why would you invent Legos if I give you a Lego set? It's probably worth noting here that C3 AI is no stranger to Buzzword bingo. They've gone through some name changes over the years. They've been C3 Energy, C3 IOT, kind of like have a reputation of attaching themselves. to that trend of the moment. And again, AI has been the trend of the moment in the market now for a couple years, but for C3 AI for a while now. Okay, all that said, though, what is their
Starting point is 00:07:09 moat? Like, you just described what they do? What is it about C3 AI's template that, say, Microsoft doesn't offer? Well, Microsoft's not doing those templates per se. They don't have a bunch of predefined templates that you would use to jumpstart your development or jumpstart your application. So that's the advantage here. It's that C3AI has done the pre-building for you. They've done the work up front. Whereas other companies that are in this space that want to make it easy for you to build, say, your AI applications, the presumption is you would build it and you would build it from soup to nuts because what AI would do is make, you know, development, particularly custom software development way easier, way more automated. So you can do that. You can build
Starting point is 00:08:03 your soup to nuts application. What C3 is saying, you don't need to do that. We've done a lot of the work already for you. So there is an argument that if you've got something that's pre-built that solves 80% of my problem, I'm interested because I'm not going to have to hire a bunch of engineers to do that. You've already solved a lot of this for me, and you may be able to come in and plug into my specific problem because you have what's called domain expertise. You've looked at a problem in an industry or for a particular business problem. You've seen how things go wrong, and so you can help me. That is. That is. a pretty good argument, Mary. It's not, it's not the, you know, maybe not the best argument,
Starting point is 00:08:52 but it is an argument. Like, let's not dismiss that entirely out of hand. When I originally, I mean, I recommended this years ago on the belief that this idea of pre-built templates is actually a decent one. It may not be the most advanced AI, but it ain't a bad idea. What ended up happening, though, and ultimately why I chose to get out of it is that C3AI was spending so much money to convince the market of their idea that it just, it would really look like a very, very difficult slog, and that they were having a hard time growing beyond the limited number of things they were doing. Like, they had core customers, but getting like brand new customers and the cost to acquire
Starting point is 00:09:40 a customer, just so high, it didn't feel as sustainable as I wanted it to feel. With yesterday's results, you have C3AI, like, sharing that they do seem to have booked new deals. They've got revenue growing 21% year over year. Stock is still down, all that said. Stock is still down this morning, about 12%. Wall Street wasn't terribly happy about the fact that subscription revenue was a little less than expected. Let's zoom in on that revenue data, though, because I think that that's,
Starting point is 00:10:10 That's something revealing. Total revenue is increasing, but if you zoom in, average selling price is declining, that doesn't sound great. Well, it just means that you can't charge a premium. So there's a couple of, from the slides, what we see here, this is their supplemental data. So their total revenue mix here. So subscription revenue as a percentage of total revenue. Last year at this time, 85%. This year, 84%. So professional services are making up a bigger proportion, not a much bigger proportion, but a slightly bigger proportion. In other words, meaning that, They may not have gotten all of the deals they want or the big subscription revenue value that they wanted, but they're making it up on their professional services, which they get a 90% gross margin on. They don't just sell you the software.
Starting point is 00:11:04 They get a 90% gross margin on installing and customizing that software, which is a pretty good deal. Also, when you look at their total contract value, so this is a key metric called TCN. CB, total contract value, average total contract value. So last year at this time, $800,000. This year, $700,000. So $0.8 million versus $0.7 million. So it's going down. So it suggests that the commitment to C3AI may not be as big as we would like it to be. And this is not the only data we have seen looking for their, well, let's keep going. There's other data here in terms of their backlog. Yeah, this is their what's called their remaining performance obligation. So Q1 of fiscal 2023, 458.2 million.
Starting point is 00:12:08 Q1 of 2024, 334.6 million. Q1 of 2025, 204.5 million. So that backlog, Mary, seems to also be going down. This is not in any way a death now. This isn't like, I don't want to say that. I'm just saying it does seem as though C3AI, is having to make some concessions to win deals. But why is that happening?
Starting point is 00:12:45 Because we're in the midst of this AI arms race where companies are bragging about how much money they're spending on AI and research and development, et cetera. Why hasn't C3 AI benefited for... This is a company, like their ticker is literally AI. Why haven't they benefited from the larger tailwinds of AI that we've seen elsewhere? I mean, they are doing generative AI now,
Starting point is 00:13:07 but that's not how they started. They're a legacy player here and those templates, even though that is their strategic advantage, that isn't generative AI. And the generative AI they're doing is essentially applying a natural language engine on top of, you know, maybe an existing application or in an existing environment in order to ask questions of the data that exists about. the company or what the application is doing, that's useful, but that's, that may not be the same thing as what others are trying to do with generative AI. And let's be clear, like the hype around
Starting point is 00:13:51 generative AI is it is changing everything. And so I could use it as a general purpose tool, and I could start from nothing and build my thing from scratch. And I could do it in an automated way. I can do it in an accelerated way. I can use a bunch of Nvidia GPUs to do this. I don't have to use as many software developers because the AI is going to write the code for me. I think you know where I stand on that. I think a lot of that is nonsense.
Starting point is 00:14:21 Like, you still have to do the hard yards to get things done. Having said that, it's C3AI story of we've done 80% of the work for you and you just have to customize it. is not, that is not the sweet spot of where the generative AI story is now. The generative AI story is you don't even need that 80% to get started here. The generative AI is going to do like 90% of the work for you and it's already going to be, you know, like automated.
Starting point is 00:14:54 Again, probably nonsense. I think the C3 AI story is a decent one. But are they in the same narrative bucket as say like an NVIDIA? No. No, they are nowhere near it. Tim, as always, pleasure talking to you, learning a bit more about C3AI. Thanks so much for coming onto the show today. Thanks, Mary.
Starting point is 00:15:22 In a world full of noise, long-term thinking stands out. On the Capital Ideas podcast, Capital Group Leaders explore the decisions that matter most in investing, leadership, and life. It's a rare look inside a firm that's been helping people pursue their financial goals for more than 90 years. Listen to the Capital Ideas podcast from Capital Group, published by Capital Client Group, Inc. For all the talk about a fast food slowdown, there's one quick service chain that keeps on flying high. Up next, Sandmeet-Dio joins me to discuss wingstops, recipe for success. One of the stories of the summer has been that so many fast food chains are kind of rough in it.
Starting point is 00:16:10 McDonald's, same store sales down about 1%. Starbucks comps down 2%. Chipotle and Kava and a few others offer exceptions to that rule, but even their numbers pale in comparison to that of Wingstop. The chicken wing chain that's seen same store sales increase nearly 30% year over year.
Starting point is 00:16:30 Send me, you're a Wingstop fan. In fact, when I slacked you about doing this segment with me, you said, wingstop is rocking. So what's Wingstop doing that's got it rocking where so many others seem to kind of be flailing? Yeah, you know, I'm a proud shareholder, and, you know, they keep it simple. Very simple, clean restaurant operating model with very few ingredients. You know, they sell chicken wings, sandwiches, tender, sodas, and fries.
Starting point is 00:16:53 That's it. No, nothing fancy, exotic or excessive on their menu. Very simple. Also, they have a small footprint with high average unit volumes, which is basically like your sales per store. So, you know, their average store is only 1,700 square foot, while a Chipotle or Kava tends to be 2,000 square foot and above. Their AUVs are nearing about 2 million, and now they're targeting 3 million as of their most recent call.
Starting point is 00:17:16 And their newer prototypes are about to be like 1,300 square feet. So they're even shrinking it. Only takes four workers to operate the store, and they have limited in-sort dining. So mostly pick up and delivery and digital ordering is what drives the concept. That digital ordering piece is really essential. And it's a metric and that Wingstop is proud of nearly 70% of their sales come from the digital channel. CEO Michael Skippworth has said that the goal is that that number eventually becomes
Starting point is 00:17:46 100%, that all of their sales come through digital ordering. We started off kind of comparing Wingstop to the story that's going on in other fast food chains. So let's keep comparing for a second. Starbucks has leaned really hard into the digital ordering. And some might argue that that is kind of what's caused their slowdown as of late. So maybe digital ordering isn't all it's cracked up to be. Why does Wingstop want all of its sales to come through digital orders? I think with Wingstop, you know, obviously digital orders have proven to be efficient,
Starting point is 00:18:17 frictionless, and improves the speed of orders for customers. I think Wingstop, too, has more of an experiential experience. You know, football season is right around the corner. For me, I love college football. It just started and NFL's about to start this week. You know, people order a bunch of wings from Wingstop, take them home, eat with their friends, watch the game. And you could do it quick on your,
Starting point is 00:18:39 on your app online. And so it's more experiential than a Starbucks would be. They're also building out a proprietary tech stack called My Wingstop to kind of improve the app and the web experience. And also likely making it a little more fun, more personalized. You know, their digital ordering also lets them collect vast amounts of data on their customers, creating kind of new levels of personalization that help them, you know, with customer retention and frequency.
Starting point is 00:19:03 You know, imagine getting alert to order wings in advance of your favorite sporting event with like the flavor you love. You know, they send a push notification. You're like, oh, wow, it is time for a game and would love to throw a little get-together. Yeah, the experiential piece is so interesting to me there because I think typically when we hear that word in conjunction with restaurants, we think of the restaurant as being the experience. But Wingstop is like, no, it's DIY. We'll give you the food.
Starting point is 00:19:29 You do the experience yourself, but you still attach that experience to the brand of Wingstop, even if it's not happening in store. About 98% of wingstops are franchises. I want to highlight this with you because I know that you're really interested in the franchise model yourself. When you're looking at this company from a public markets perspective, how does that franchise heavy model factor into your analysis? Franchise business models are pretty attractive business models. They're asset light, low capital intensity, not much capital spend that the franchisor, the parent company has to do. and they get a high margin of royalty and franchise fees from the franchisees. You know, it's an attractive business model.
Starting point is 00:20:12 Like I said, if the sales are strong, if the relationship with franchisees and the franchisor is healthy, and if the investments that they're making from the sales that they get into advertising is fueling the brand awareness and furthering the sales to the stores, it can really kind of create a flywheel effect in terms of the franchise model. And also, they're relatively easy to operate. You can quickly turn a profit after opening, especially with these Wingstop stores, growing brand awareness, quick return on investment, rising AUVs and average unit volumes, ROICs kind of all play into that strong demand that potential franchisees are having for the business.
Starting point is 00:20:53 Skipworth has said that Wingstops' ambition is to become a top 10 global restaurant brand. Right now, they do about $3.5 billion in total. system-wide sales. So to reach this top-10 restaurant brand goal, they'd probably have to turn that $3.5 billion into closer to $9 or $10 billion. How does Wingstop plan to achieve that? You know, they have a pretty aggressive plan. You know, they, like they said on their most recent earnings call, they think their stores can reach $3 million in average unit volumes. That's $3 million per store. You know, their oldest store that they first opened actually now does 4 million. So there's actually maybe even more upside potential there. You know, they think
Starting point is 00:21:33 they have like Wingstuff has about 2,300 stores right now globally. They think they get to 6,000 domestically and 10,000 globally. They still have lots of the white space opportunity in the delivery channel, their DoorDash, Uber Eats. The biggest risk to achieving this is, you know, franchisee relationships deteriorating, rising food costs, and, you know, any significant slow down in sales. When you talk about the potential for the relationship with franchisees to deteriorate, how might that happen? Because right now it sounds like relationships with franchisees is pretty rosy. Yeah, no, absolutely. You know, when things are going well, the relationship can go, you know, pretty smoothly. When things hit like a slide, sales slow, food costs go up, maybe the franchisees
Starting point is 00:22:18 themselves are not making profits because they're taking on all the capital to open up the stores, and spend, and then they send the royalty fees to the franchisee, franchisor, excuse me. And if they feel like they're not getting any value from the franchisor in terms of ad, spend, technology, then that relationship can deteriorate, and it can deteriorate pretty fast. Wingstops got about $140 million in cash and cash equivalents and over $713 million in long-term debt. How do you feel about the balance sheet situation here?
Starting point is 00:22:52 Yeah, not the cleanest balance sheet that I usually look for. Especially with a franchise business. They have a lot of long-term debt. I think it was like $700 million or plus, and they're paying a dividend. So I don't love that they're paying a dividend while they have debt. But given that it's an asset light model, they get a steady stream of revenue from the stores that they currently have open and the ones that they're about to open. Their net debt to EBITDA has been declining.
Starting point is 00:23:17 Their interest coverage ratio has been increasing. So those are trending in the right direction. So while it is a spot for concern, I'm not overly concerned about it. it. The company's been around since 1994, and since that time has moved through a handful of private equity purchases. Michael Skipworth has led Wingstops since 2022, but he's been with the company for nearly 10 years. What should investors know about Skipworth himself as CEO, but also perhaps Wingstops history? Well, I haven't dug into it too much, but in terms of what I was just talking about with the balance sheet, given that there's been a lot of private equity ownership, that debt
Starting point is 00:23:52 could have come from that historical ownership of private equity because they tend to load up companies with debt that have generated, you know, steady streams of cash flow to kind of juice their return. So that might kind of be an explanation for some of that long-term debt that they have. But, you know, Skipworth has been around with the company for a long time. He's previously president and chief operating officer for taking over the CEO role. He has a background in finance and accounting. I like the combination of experience he has with operations and finance. So makes me feel like he'll guide the company in a profitable and a sustainable way and not just try to grow at the sake of growth's sake. He doesn't have as much ownership and shares of the company
Starting point is 00:24:31 as I would like and neither does the rest of management, but that's okay. Wingsop trades at around 115 times earnings, which is pretty expensive for the industry. Just as a point of comparison, McDonald's and Starbucks have PE ratios in the mid-20s. What say you? Does Wingstops' growth story justified that pretty high price? Yeah, you know, their valuation has just flapped up to the, to the moon here over the past year and plus. You know, it is a big concern with owning the stock. You know, it's high valuation. You know, if you look at like the out years in the next few years, you can reasonably expect that it might grow EPS around 30% plus. Their P.E in like outwards three years is around 65 times. So it's about a peg ratio, which is the P.E. over the growth rate
Starting point is 00:25:17 of above two. It's a famous lynch ratio that I like to look at as well. In comparison, Chipoli has a forward peg ratio above one and a half, and Kava has a forward peg ratio that just doesn't make sense, like way about eight. So Winkstaff valuation is definitely rich, but I find interesting their fundamental metrics are just, like I said, when we, when we slack, it's just rocking. You know, their growth is out of the park. Their return on investment, their RIC numbers are, and it's healthy, like 20 percent. plus. So definitely great fundamentals, but if those start to slow, the stock will get whacked, and the volatility could be very high. And it already has proven to be pretty volatile as it is.
Starting point is 00:25:59 Okay, so one last thing. I am embarrassed to admit that I have not been to a wingstop. In fact, before I started hearing about it in the news and thinking about this segment, I had never really even heard of Wingstop, but I am going this Friday to check it out with some other fools. You've been before. You're a fan of the restaurant. You're a fan of the stock. What flavors should we be trying? Yeah. Yeah. You know, I've only eaten there a few times, too, and their brand awareness is just starting to really ramp up with the ad spend that they're doing. But lemon pepper is their most classic and most popular sauce. So that's a nice moderate sauce. If you like to ramp up the heat, I would go with the mango habanero, but I'm warning you, it's very high on the heat scale. If you're looking at some little milder, you can try the hot honey, which is a popular option, too.
Starting point is 00:26:45 It kind of plays into a lot of those Nashville hot honey kind of trends that are out there. But their sauces are all pretty fantastic. Okay, reviews to come. I'll report back on the Mango-Hoponiero. I am certainly interested in that, if not a little nervous about it, too. Awesome. Thanks, End meet. Always great to chat with you.
Starting point is 00:27:03 Thanks, Mary. As always, people on the program may have interest in the stocks they talk about. And The Motley Fool may have formal recommendations for or against, so don't buy ourselves stocks based solely on what you hear. I'm Mary Long. Thanks for listening. We'll see you tomorrow.

There aren't comments yet for this episode. Click on any sentence in the transcript to leave a comment.