In short
Earnings roundup focused on Alphabet’s cloud and AI metrics (82% cloud growth, Gemini usage) and Tesla’s disappointing profit/margins amid heavy AI/robotics CapEx plans; discussion also covers search risk from chatbots, free-cash-flow concerns, and whether Tesla could be absorbed by SpaceX.
Guests
Mandeep Singh (Bloomberg Intelligence head of global technology; analyzes AI/cloud/backlog and token usage). Keith Naughton (Bloomberg News auto reporter; focuses on Tesla/auto economics). Ed Ludlow (Bloomberg Tech host; moderates tech/earnings context from Bloomberg’s SF bureau).
Key claims
Alphabet’s cloud is strong but search/backlog and Gemini engagement vs OpenAI are concerns; CapEx could drive negative free cash flow. Tesla’s EPS and gross margin miss expectations; record deliveries but lower average selling prices and negative cash flow; investors want more AI/robo-taxi progress.
Notable examples
Gemini processes 22B API tokens/min; Gemini app has 950M monthly active users; Anthropic is a major Google Cloud customer but not clearly reflected in backlog; Tesla gross margin 16.8 vs 19.4 and EPS $0.33 vs $0.51; Tesla’s “car” growth slowing with more trades to Toyota hybrids.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAlphabet's Cloud Growth Analysis
2:25 to 4:25
Discussion on Alphabet's impressive cloud growth and backlog concerns.
“In the house with us is our Mandeep Singh.”
Tesla's Financial Challenges
4:25 to 6:24
Exploration of Tesla's earnings report and its impact on the future.
“Tesla, it is a lot of technology in that one.”
Comparing Alphabet and Tesla
6:24 to 8:10
Insights into both companies' financial strategies and market positions.
“Yeah, I was listening very carefully to everything that Mandeep said.”
Tesla's Shift from Luxury to Mass Market
8:10 to 16:28
Discussion on Tesla's changing market position and consumer behavior.
“But like, remember when Oracle flipped negative free cash flow for the first time since the 90s?”
Analyzing Alphabet's Performance and AI Metrics
16:28 to 20:56
Delve into Alphabet's earnings performance, focusing on key metrics related to AI and consumer engagement.
“I want to go back to Alphabet, if I may.”
Analyzing Alphabet's Performance and AI Metrics
20:57 to 21:09
Delve into Alphabet's earnings performance, focusing on key metrics related to AI and consumer engagement.
“businesses manage risk before it turns into something more disruptive.”
Analyzing Alphabet's Performance and AI Metrics
21:15 to 22:21
Delve into Alphabet's earnings performance, focusing on key metrics related to AI and consumer engagement.
“With Domino's Best deal ever since they just added stuffed crust.”
Transcript
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1:54Learn more at the Hartford.com slash risk mitigation. Bloomberg Audio Studios, podcasts, radio, news. This is a breaking news update from Bloomberg. Instant reaction and analysis from our 3 ,000 journalists and analysts around the world. We really want to go all in on Alphabet and Tesla. We've got a great team effort to do just that. In the house with us is our Mandeep Singh. He is, of course, Bloomberg Intelligence, excuse me, head of global technology. We've also got our Keith Naughton Bloomberg News auto reporter. He joins us here in our Bloomberg Interactive Brokers studio along with Mandeep.
2:39And then we've got Ed Ludlow, Bloomberg Tech host out there in our San Francisco bureau. All right, where to start? I do want to start with you, Mandeep, only because I feel like the AI trade is so important. What do you make of it? I mean, great print. I think overall the results were great. Cloud, 82 % growth. It's a$100 billion run rate business now, which is phenomenal for a company like Alphabet, which was really consumer-focused. But backlog is probably very, I would say, the whisper number was higher simply because when I look at Microsoft's backlog number, it's higher than Alphabet's. And given it's growing 82%, and it has got Anthropic as one of its main customers of Google Cloud, I would have expected that to go up.
3:26I mean, Anthropic is signing deals left and right. So why is it not showing up in the Google backlog number? Gemini models now process 22 billion API tokens per minute, and the Gemini app has 950 monthly active users. Contextualize that, Mandeep, for us compared to OpenAI and to Anthropic. I mean, it's great, but look, Gemini has an attach rate because of all the other properties that Google has, the search, YouTube. So for me, until analysts, they talk about usage of Gemini really taking off relative to the last quarter, it's hard for me to extrapolate that into Gemini really taking share away from a chat GPT.
4:08And all these companies are reporting very high MAU numbers, but it's really the usage that counts. And to my mind, the$950 million is a reflection of the high attach rate that Google has because of the distribution through search and the operating system and browser. Ed, we're going to come to you in just a moment on both, but I want to bring Keith Naughton in. Tesla, it is a lot of technology in that one. So as we talk about all of this, what do you make of kind of some of the numbers that we got from Tesla? Well, that's a big mess. You know,$0.33 versus$0.51. And I get that Tesla is no longer really a car play.
4:42It's an AI play. Is it? Well, here's the problem with that, Tim. The thing is, is that to fund that$25 billion in CapEx they have planned for this year, they need to sell a lot of cars. So they did sell well in the second quarter. Right. But yet we're coming in low. You saw the gross margin is also below expectations. So they need to make money. 16.8 versus 19.4. They went negative cash flow. We expected that. They didn't go as negative as was expected. So that's good. But they did go negative cash flow. So, you know, you got to generate revenue and profit from the car side of the house in order to pay for the robotics and the AI and the cyber caps.
5:20Yeah. Ed Ludlow, come on in on this conversation. Is Tesla, in your view and based on the folks you talk to, is it still a car company? Yeah. The street wanted to see Tesla spend a lot of money, more money than they are spending currently based on the trajectory of CapEx to make some progress on robo taxis and robotics. and you know the looking back at the quarter was the problem that they had is even though they had record vehicle deliveries you know they are spending on r &d that's an impact stock-based compensation is a big impact remember like talent and stock-based compensation in the valley on the software and engineering side is like a really important factor they had lower average selling prices so you have record vehicle deliveries but lower asp has not gone well for them.
6:04It's such a simple story. Capital expenditures came in in line with expectations. But on the buy side, just put your money where your mouth is, Elon Musk. Spend more money on the AI story. And it hasn't really translated. But again, it's just an earnings deck. The real meat of it probably comes in the call. All right. So, yeah, I want to bring, well, Ed, before we, I want to bring Mandeep back in. Your thoughts on also Alphabet here. Yeah, I was listening very carefully to everything that Mandeep said. I mean, the way that I look at it, you know, we looked at the backlog, Mandeep explained Gemini and the trajectory of the cloud business.
6:40Search is where the slight miss is. And so I guess the other way of looking at it is that there's a concern out there that the core search business gets more impacted by the behavior of using a chatbot in lieu of the search engine. And so it's a slight miss, right? That's not evidence of that. Again, a very high bar quarter for Alphabet. I just can't get over the cloud growth. Like, Mandeep, like, save me a bit, like, cloud growth, 82%. It's pretty good, like, relative to what you and I talked about earlier in the week. Yeah, look, I think overall, it's hard to find any fault in the print. It's just, you know, because everyone is expecting CapEx to go up to 300 billion.
7:22I mean, look, believe it or not, this company will have negative free cash flow next year. So from that perspective, you have... Why? Because of CapEx investment? Right now, they are probably$10 to$15 billion free cash flow for this year. Next year, if it goes to$300 billion, there's no way they're going to be positive free cash flow. So from that perspective, despite that 24 % top line growth, we're talking about a company that will have negative free cash flow at their scale. And that's where, you know, you want to see all these businesses really doing well. Right now, it's cloud that's carrying all the weight.
8:03But you want to see that to Ed's point in search and, you know, YouTube and other businesses. And you're not seeing that kind of lift. Ed, you're laughing. Why? At the amount of reaction? I take it super seriously. But like, remember when Oracle flipped negative free cash flow for the first time since the 90s? the market's melted down. When Amazon goes to negative free cash flow, so what? To our audio listeners, I shrugged my shoulders and made a funny face. But the interpretation of Mandeep's analysis and the research that BI has done on this, the market's very sanguine about that. They want to see capital expenditure high.
8:40They also want to see top-line growth directly evidenced as a result of the CapEx. But on the cash flow thing, everyone seems pretty calm about that. Mandeep, when's the payoff on this spend? Is it already happening? It's happening in a big way with the cloud business. I mean, when have you seen a company get to$100 billion new business line in a matter of three, four years? So they are seeing that in the cloud business, and it's a great investment. It's just, I think with Alphabet, search is always the cash cow that funds everything. and even though the top line growth, to my mind, 17 % isn't bad in terms of top line growth.
9:21It's just, I think the backlog number combined with where search would be two, three years from now, that's where you start to get a little worried. But maybe they come out in the call and say Gemini and 950 million users saw engagement growth of X percent and then suddenly everyone will be okay. But you really want to see Gemini delays not carry forward. Remember, they have seen a delay in their Gemini Pro 3.5 release. Now, all that is adding to the anxiety. Is Alphabet really falling behind when it comes to the frontier model race? Yes, they're doing very well on the cloud side. But what is it that will prevent search from really going down or, you know, the company falling behind in the frontier model race?
10:09It's interesting. You have to spend, right, to build out some of these businesses. in a big time, and that is certainly a metric in terms of how you're judged. I want to go back to Tesla. Same thing, though. They want Elon to spend to kind of do what he needs to do? Yeah. I mean, he's made some very large promises, hasn't he, about AI and about the cybercabs who are supposed to all be riding in them by now, right? And that hasn't happened. The launch is slower. Optimus is not being built yet out in Fremont, although he says that'll happen by the end of the year, but we've heard that before, right?
10:37Yeah. So until he actually delivers some you know, deliverables, some tangible results, you know, we're still relying on the car business to deliver the mail. And, you know, this report isn't showing that that's meeting expectations. And is the case being made by investors or by at least Elon's investments at Tesla right now, that SpaceX could absorb this company at some point in the near future? You know, it's still the prevailing sentiment in industry and of the existing investor base on the SpaceX side that this will happen with time. Right. The financial mechanics of that are a bit of a mystery.
11:19You know, one public company backing into another. But to lots of people, you just go back to why they believe that. They believe that the joint scale makes sense to very deeply vertically integrated companies that have a shared initiative on the compute side and semiconductor side, where there is already a lot of cooperation on the engineering side. You know, to lots of people, it's just logical. We just don't have an answer for that. I found it, you know, I put it in the blog, right? I found it amazing that, you know, but is it to be expected? There's no mention really of SpaceX at all in the Tesla earnings deck.
11:53And the only thing is that they have a$1 billion unrealized gain from their prior equity investment in XAI, which rolled into SpaceX. Interesting. Yeah, I do wonder, too, and I want to bring this question to both Mandeep and to Keith. I mean, Mandeep, you have to think about Tesla and you have to think about SpaceX and their role in AI and kind of where this company is going, right? We've talked with you about this. I mean, you've got to kind of think about where this goes next. I mean, to my mind, why did Google have to rent compute from SpaceX at such a high price? You know, when they have their own cloud business.
12:32Why do they? Well, maybe they can monetize it better than SpaceX data centers can on their own. So from that perspective, Google cloud business is more established. They can get a lot more out of that compute than SpaceX can. But really, that's the case to be made that Google should go big in terms of CapEx increase. Because right now they're renting from SpaceX. Well, the same thing, though, to you, Keith. I mean, do you increasingly think about, okay, you know, Tesla is not just going to be this car company anymore. You really have to think about the whole Elon universe. Right. And he has to start showing that and just talking about that.
13:09And he also has to make promises that he can achieve. And so far, he's overpromised and underdelivered. Yeah. It's just the date always moves. All it takes is two gigawatts of capacity, and suddenly that will be another, you know, $50 billion in revenue that SpaceX can add. So it's not that hard right now, at least in this environment. More gigawatt capacity is equal to$25 billion in revenue per gigawatt. Manteep, do you think it's odd that there's no mention, as Ed mentioned, really, of SpaceX in the Tesla results? I mean, right now these are independent companies. Why would they be mixing those up?
13:47Same boss, you know, ish. Ish. Keith, I want to play this out with you a little bit and what we were talking to Ed about and the idea of Tesla being absorbed by SpaceX at some point. I know there's no historical precedent for this, but you do have, in some cases, auto manufacturers that are part of big conglomerates. You know, Tata comes to mind for me. but is the history mixed with this sort of like a huge company that also churns out cars? Tesla as a car company is not really a growth story anymore. They are contracting. I know they had a good quarter, but the previous two years they were down in car sales.
14:29And they're not even a luxury car maker anymore. They stopped making Model S. They stopped making Model X. Their most common trade-in now is a Toyota, a Toyota hybrid. So meaning people come with a Toyota? They trade in their Tesla for a Toyota now. That's what's happening, Edmunds tells us today. Wow. People are getting out of Teslas and going into Toyota hybrids. So they're a mass market carmaker now. That's why the margins shrink, right? You're no longer in the luxury business. The most common trade out of a Tesla previously had been a luxury carmaker, a German carmaker. Now they're going into Toyota.
15:00So Tesla's growth engine is slowing on the car side of the business. And so linking up with SpaceX could give them new ways to find revenues and to monetize the AI side of the business, which so far it has not. But Ed, to Keith's point, could the cyber cab or the robo taxi come to the rescue here? You know, they stopped the S and X in the period, right? Those were higher margin, higher price point vehicles. So what Keith's outlining is completely correct. People forget the business model. And actually what I would say, the biggest tone shift in the deck, it's just a document, is that this is Tesla, the sort of complicated compute industrial robotics company.
15:44You know, that's the kind of in aggregate takeaway from it. The RoboTaxi business plan is multifaceted. CyberCab is a vehicle that Tesla purpose produces and operates within a proprietary ride hailing fleet itself, but also plans to sell the consumer. Makes not a lot of sense to a lot of people. but there's also like the airbnb model where you as an existing tesla owner submit your vehicle to the fleet so when you're not using it it goes out and operates in the ride-hailing fleet like an uber but it's your vehicle that you own and what's not clear is the economics of that mixed fleet you know people just don't understand it and tesla hasn't really explained it since they first made the proposal so that doesn't answer your question tim but that's the problem with this print the quarter gone was bad and there's not a lot of evidence that the future is underway.
16:32All right. I want to go back to Alphabet, if I may. Tesla's still under pressure, selling off a bit after the market trade here. Alphabet's been bouncing around. So I want to go back to you, Mandeep, because I'm looking at our live blog, our markets live blog, and they're pointing out most of its biggest businesses were ahead of analyst expectations, with the exception of Search, which was a touch below. What is it that you think we need to hear on the call? Is it about what's happening? What's going on with spending? Like the outlook here? I mean, the world of AI is measured in terms of token consumption.
17:06And even though they gave a token consumption metric around API usage going to 22 billion from 16 billion last quarter. So that's a nice uptake. But really, on the whole, you want to see them continue to grow that token consumption across the family of apps. And I think that's where you will see the usage of the model, how much Gemini is getting used. So token consumption, along with that CapEx guide, to me, those are the two key metrics. Do we have metrics on AI overview versus traditional Google search? They do talk about how much... Does that matter to you? I mean, I care more about the aggregate, even if there are some offsets that they are moving some of the traffic to AI overviews an AI mode.
17:50At the end of the day, it's the time spent on Google family of apps. That's what matters. Okay. So that's, okay, Ed, come on back in here. I don't think we've talked to you about this, which is sort of the little incremental updates that Alphabet is making to, I don't want to call it family of apps because I don't want to confuse meta, but it's like, you know, Google's Gmail having this sort of like AI inbox, or you being able to ask Google Maps questions that are more conversational in AI. Does that move the needle in your view? Do analysts talk about that, making this stuff more engaging? Because AI Inbox is great for me.
18:27You know, I'm not deflecting. I would go to man deep on this, but it's not the consumer that moves the needle, right? You know, look at what they did say. 90 % of the Fortune 100 are using Gemini Enterprise, according to the statement. Gemini models process 22 billion API tokens per minute. You know, this is the token economy. That's how we're judging success of the utilization of different AIs that the frontier labs and the hyperscalers are developing. That's in the enterprise. You know, it has very little to me to see the needle move on the existing suite of software that Google adds, just like Microsoft's having a very hard time telling me that 365 has anything to do with their AI story and then boosting cloud sales.
19:13It just doesn't. Yeah, that's a good point. I mean, Mandeep, but if a lot of consumers are sort of interacting with Google's AI through these tools that they've used for years, then certainly that makes them more engaging. But like Ed said, maybe it doesn't move the needle. I mean, to my mind, right now, because the LLM companies don't have a freemium models with ads, the consumer side is somewhat shielded. And the battleground is really the enterprise side to Ed's point, because that's where the consumption is measured around tokens. And you are seeing that backlog really come to fruition. But the consumer side is important in the sense all the internet platforms leverage the data to make the platforms better.
19:56That's why Google has been so successful over the years. So if you lose the engagement on the consumer side, over time, it's going to affect how good your product is and that's where people moving their queries to chat gpt or claude will have an impact because right now google has that monopoly 90 it used to have i don't think that's the case anymore but that's how the platform got so much better the search box got so much better is because of the usage so i won't underestimate the usage on the consumer side
20:56We'll be right back. businesses manage risk before it turns into something more disruptive. And when losses do happen, that work is paired with insurance coverage shaped by years of underwriting, risk engineering, and claims experience. Learn more at thehartford.com slash risk mitigation. Policies provided by Hartford Fire Insurance Company and its property and casualty affiliates, Hartford, Connecticut. Big transfer news today. Who's moving? Me? To the couch? With Domino's Best deal ever since they just added stuffed crust. Any pizza, any toppings, now with stuffed crust for$9.99. It's a long-term contract with no release clause.
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From the publisher
Listen for instant reaction and analysis of megacap tech earnings from Alphabet and Tesla.
Alphabet reported second-quarter cloud revenue that far surpassed Wall Street’s expectations and said the division’s backlog of contracted business ballooned to more than $500 billion, offering fresh evidence that the company’s massive AI investments are paying off.
Meanwhile, Tesla missed Wall Street’s profit expectations even after a strong quarter of auto sales, a setback for the electric-vehicle maker as it looks to build out new lines of business in robotics, autonomy and AI.
To break down all of this, Bloomberg Businessweek Daily hosts Carol Massar and Tim Stenovec speak with:
- Ed Ludlow, Bloomberg Tech co-host
- Keith Naughton, Bloomberg News Auto Reporter
- Mandeep Singh, Bloomberg Intelligence Global Head of Technology Research
See omnystudio.com/listener for privacy information.
