In short
Tech earnings and AI capex—whether Alphabet, Amazon, Microsoft, and Meta’s massive 2026 spending ($725B) is translating into measurable AI payoff; plus follow-on AI funding, policy, and payments/agent news.
Guests (and backgrounds)
- Yoko Yoshioka, Portfolio Consulting Director at Wealth Enhancement Group; holds exposure to Alphabet, Amazon, Microsoft, and Meta.
- Brad Erickson, RBC Capital Markets internet analyst; covers Meta and other internet/AI-adjacent names.
- Justin Fishner-Wolfson, founder & managing partner at 137 Ventures; long-time private-market investor (notably SpaceX).
- Cristiano Amon, Qualcomm CEO; leads Qualcomm’s AI/data-center diversification.
Key claims
- Alphabet/Amazon spending is “justified” by cloud demand signals (Alphabet Cloud >60% growth; Amazon AWS growth accelerating to 28% YoY; backlog cited: Alphabet backlog doubling QoQ; Amazon AWS backlog >$360B).
- Microsoft: Azure +40% growth; Copilot expected to be an early enterprise AI use case, but free cash flow pressure from rising capex is a concern.
- Meta: Capex raised to ~$145B, but investors lacked a clear “AI payoff” metric; ad pricing up ~12% but efficiency/tangible AI justification lagged; memory/component cost pressures reduce bang-for-buck.
Notable examples
- NVIDIA down despite capex optimism: debate over custom silicon (TPUs/Tranium/Graviton) and inference shifts; NVIDIA still viewed as “base layer.”
- Meta AI monetization gap vs cloud peers; discussion of “born on Meta” small-business opportunities.
- Anthropic funding talks: potential new round valuing it >$900B; NSA testing of Anthropic’s “Mythos” for cybersecurity vulnerabilities.
- Stripe + Google: AI-mode transactions inside Gemini; example given: delegating small purchases like domain buying.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOEarnings Overview of Major Tech Companies
2:26 to 4:19
Explore the earnings results and AI strategies of Alphabet, Amazon, Meta, and Microsoft.
“This is Bloomberg Tech, Alphabet, Amazon, Meta and Microsoft, all out with earnings and big AI dreams.”
Analysis of Alphabet's Earnings and AI Demand
4:19 to 6:22
Learn about Alphabet's impressive earnings and increasing AI demand.
“And I think we are doing it based on tangible demand signals we are seeing.”
Amazon's Capital Expenditure and AWS Growth
6:22 to 8:23
Discover Amazon's capital expenditures and the acceleration of AWS growth.
“NVIDIA, which you think would be the biggest beneficiary, is down three and a half percent in the session and one of the biggest points drags at the index level.”
Microsoft's Earnings and AI Use Cases
8:23 to 9:06
Examine Microsoft's earnings, Azure growth, and potential in AI.
“I mean, you know, I think the biggest issue for all of these companies is the free cash flow numbers.”
Meta's Performance and Investor Expectations
9:06 to 11:21
Analyze Meta's stock drop and the expectations surrounding their AI investment.
“The outlook for revenue in the current period was a range of 58 to 61 billion dollars, basically bang in line with consensus.”
Apple's Position in the AI Landscape
11:21 to 12:42
Discuss Apple's approach to AI and its financial strategies.
“Another story out of Asia overnight, Samsung shares actually kind of modestly lowered down 2%, but record profits over the March quarter.”
Qualcomm's Shift Towards AI and Future Plans
12:42 to 14:00
Explore Qualcomm's pivot towards AI and their upcoming innovations.
“after the company announced new AI tools and a new partnership with Google.”
Innovative Portfolio Tools with AI
14:00 to 14:44
Learn how AI tools can help investors create customized investment indexes.
“And they've also integrated AI with tools that can assist investors in building customized portfolios.”
Anthropic's Funding Update
15:02 to 18:05
Explore the latest developments regarding Anthropic's funding and valuation.
“See complete disclosures at public.com slash disclosures.”
NSA's Use of Anthropic's AI Model
18:05 to 19:39
Understand how the NSA is testing Anthropic's AI for cybersecurity.
“investors are, frankly, taking advantage of by saying, listen, we'll come to you before you go public.”
Show all 26 chapters
White House AI Policy Memo
19:39 to 20:41
Learn about the implications of the White House's new AI policy for federal agencies.
“But what's especially interesting is it addresses each of those key fault lines that we saw come up as Anthropic and the Pentagon were in this very tense feud that resulted in a legal supply chain designation.”
Elon Musk's Legal Challenges with OpenAI
20:41 to 23:09
Get insights into Elon Musk's lawsuit over OpenAI's transition to profit.
“Now to another closely watched AI story.”
Stripe's AI and Google Partnership
23:09 to 24:00
Discover how Stripe and Google are integrating AI into business transactions.
“Google has not historically led in payments.”
Earnings Insights from Major Tech Companies
24:00 to 28:00
Examine the latest earnings reports and their implications for major tech players.
“We're going to be getting back with him with Brad Erickson from RBC Capital Markets, who believes Alphabet's future growth and multiple expansion are constrained to some extent.”
Evaluating Tech Earnings: Cloud vs. Meta
28:00 to 29:10
Discussion on the recent tech earnings focusing on cloud vendors and Meta's performance.
“But, you know, each quarter that ticks off with all of these companies, right, we, fair or unfair, we have to evaluate kind of what have you done for me lately relative to that spend.”
Meta AI's Future Opportunities
29:10 to 30:51
Exploration of how Meta AI could help small businesses and enhance advertising.
“So what is it that Mark Zuckerberg can say other than MuseSpark, the latest model, is making ads better that will convince the street, yeah, let's keep going with this?”
Regulatory Concerns Impacting Meta
30:51 to 31:56
Discussion on regulatory threats to social media and their potential impact on Meta's business.
“I think that might be the more compelling way that they use meta AI in the future.”
Apple's Upcoming Earnings Report
31:56 to 33:29
Preview of Apple's earnings report and what to expect in terms of revenue growth.
“RBC's internet analyst, Brad Erickson, really glad we could dig into Meta with you.”
Qualcomm's Influence on Apple
33:29 to 34:55
Analysis of Qualcomm's market insights and their implications for Apple.
“But we should probably address how much of a leading indicator Qualcomm is.”
137 Ventures' Investment Strategy
37:05 to 39:21
Interview with Justin Fishner-Wolfson discussing 137 Ventures' approach to private market investments.
“137 Ventures has raised$700 million split across two new funds.”
Navigating IPO Scenarios with SpaceX
39:21 to 42:01
Discussion on the considerations for 137 Ventures regarding SpaceX's potential IPO and market dynamics.
“Your$10 billion of position in SpaceX, I think, would be around 1 % of the company.”
Understanding Private Market Concerns
42:01 to 42:56
The discussion highlights fraud concerns in private markets and the implications for investors.
“but Andrew Rills talks about this as well.”
Qualcomm's Strategic Shift to AI
42:56 to 45:14
Qualcomm CEO discusses the company's expansion into AI and the significance of their new custom chips.
“Justin Fishnoholson, it's great to have some time with you, founder, managing partner at 137 Ventures.”
Data Center Market Insights
45:14 to 46:14
The CEO elaborates on Qualcomm's approach to the data center market and bespoke product offerings.
“Cristiano, specificity is so important here.”
AI Integration Across Devices
46:14 to 49:48
The conversation focuses on how AI agents will be integrated into devices and their operation.
“The other one is the ability to do custom chip, which when we acquire Alpha Wave, they have both a lot of IP, which is important for custom ASIC, as well as a custom chip team.”
Supply Chain and Market Dynamics
49:48 to 50:52
Exploring the challenges of supply chain disruption and memory demand in the tech industry.
“And I think that's how we see those agents working.”
Transcript
Automatic transcript. May contain errors.0:00The right technology can strengthen human judgment. That's why Deloitte brings together AI and data analytics with multidisciplinary teams who can help you connect the dots across your enterprise. From risk to operations to customer needs. So opportunities don't slip by and surprises don't spread. Because the smarter your systems, the sharper your instincts. That's how technology makes people better at what they do best. Deloitte. Together makes progress. Learn more at Deloitte.com slash Together Makes Progress.
0:58years, they've helped individuals and businesses navigate life's toughest moments with care, expertise, and personal attention. Together with independent agents, Cincinnati Insurance focuses on relationships, not transactions. Their approach is grounded in experience, follow-through, and trust built over time. Bad days happen, and when they do, you deserve an insurance partner who understands risk, respects what you've built, and is ready to help you move forward. The Cincinnati insurance companies. Let them make your bad day better. Find an independent agent at c-i-n-f-i-n.com. The thing about AI for business, it may not automatically fit the way your business works.
1:40At IBM, we've seen this firsthand. But by embedding AI across HR, IT, and procurement processes, we've reduced costs by millions, slash repetitive tasks, and freed thousands of hours for strategic work. Now we're helping companies get smarter by putting AI where it actually pays off, deep in the work that moves the business. Let's create smarter business, IBM. Bloomberg Audio Studios. Podcasts, radio, news.
2:15Bloomberg Tech is live from coast to coast with Caroline Hyde in New York and Ed Lovellow in San Francisco. This is Bloomberg Tech, Alphabet, Amazon, Meta and Microsoft, all out with earnings and big AI dreams. The four companies, Ed, are expected to spend as much as$725 billion in 2026. But the key question being whether that massive spending is providing tangible results. We'll discuss throughout this hour and we fixate on these numbers. Ed, you said it best. It was in 70 seconds the fire hose ensued last night and Alphabet is the clear winner. We're at a record high. Google really posting strength in its cloud division, more than 60 % growth.
3:00Yes, they are upping their capital expenditure to$190 billion. Amazon also committing its capital expenditure. Look, altogether, this is actually growing GDP. We saw the numbers for the U.S. economy strengthen on the business outlays that Amazon puts to work with, Again, growth in its AWS, 28 % growth. That was enough, but still, maybe we're coming off of our near record highs in that stock. All four have the capital expenditure story in common. Alphabet, Amazon and Microsoft, they have the cloud growth metric in common. Azure grew 40 % in the quarter. They're briefing modest acceleration of cloud growth in the second half of this year.
3:39Meta is the outlier. It is down 9 % on one point on track for its biggest drop since October. It pulled us the capital expenditures up to$145 billion this year. It gave us an outlook for sales that was in line with consensus. But then there was not that one extra metric about how AI is being justified, how the payoff is translating for them with their go-to-market. Yeah, let's try and translate, therefore, because yesterday's frenzy aired often a glimpse at just how some of the world's biggest tech companies are doing in AI. And this is what some of the big tech leaders had to say post earnings release.
4:13Looking ahead, our ability to invest in this moment and stay at the frontier, you know, I think puts us in a strong position. And I think we are doing it based on tangible demand signals we are seeing. Nobody has a better set of chips across AI and CPU workloads than AWS with Tranium and Graviton. And we're unusually well positioned for this AI inflection. we're in the early stages of experiencing. From CEOs to the investor take, Ioko Yoshiyoko is the portfolio consulting director at Wealth Enhancement Group, who I'm pleased to say has exposure to all of the four names. Ioko, let's start with the winner.
4:54Alphabet blew the market away. Is it justified, the increase in spending? Absolutely. They continue to see this exponential demand in AI, whether it was through Google Cloud or through their backlog doubling quarter over quarter. So yes, the spending is definitely justified. And they've been doing a great job of being a low cost token provider for AI. So we continue to think that there is some momentum here with Alphabet. And in many ways, that's because of the vertical integration, one that is replicated over at Amazon. And we're seeing a huge backlog, more than$360 billion worth of coming to business for Amazon and AWS.
5:36Ioko, what did you make of Amazon's numbers in the flywheel effect. Sure. Now, it's great to see that acceleration in AWS growth. I mean, we're talking big numbers here. And so to see an acceleration of AWS growing 28 % year over year versus last quarter's 24%, we haven't seen these kinds of acceleration in these growth rates from AWS in quite some time. And so it's really nice to see. And it really sort of doubles down on the demand that everybody is seeing on the AI front. MG, give me the capital expenditures numbers for all four and let's show shares of NVIDIA. And Ayoko, explain this to me, right?
6:17The overall CapEx environment has been raised for 2026. NVIDIA, which you think would be the biggest beneficiary, is down three and a half percent in the session and one of the biggest points drags at the index level. Why? So, I think there was so much conversation yesterday regarding, you know, whether it was Tranium and Graviton, Google talking about their TPUs, you know, custom silicon and, you know, the sort of shift as we move more towards inference, that is really going to be a benefit to, you know, things like companies like Broadcom, right? And so, I think perhaps people are thinking that NVIDIA isn't going to be the beneficiary as this infrastructure continues to build out.
7:04But I do think NVIDIA is going to be the base layer here. And you're going to continue to need to build out those large language models. You're just going to get that added additional benefit from CPUs as well going forward. So I wanted to take that sort of halftime pause before we move on to the other two, Microsoft and Meta. Microsoft, I guess it was an issue of language, They showed 40 % Azure growth and said modest acceleration into the second half of this year. The stock is actually down more than you might think it would be. Absolutely. With Microsoft, I think it was still a very solid earnings growth number.
7:45And it got caught up in a lot of the software downdraft that we saw in the first quarter of this year. But Microsoft is continuing to deliver solid earnings. We think that this is a great opportunity to continue to own these shares. And that acceleration you'll see in the back half. I think Copilot is one of the AI use cases in which enterprise are going to gravitate towards first. And so we continue to think there's some value there. So you would be adding to Microsoft in this weakness? Because actually it was one of the only names that was down on the year leading into these numbers. Absolutely.
8:27I mean, you know, I think the biggest issue for all of these companies is the free cash flow numbers. You know, as the CapEx spend continues to rise, you know, despite these double digit revenue growth numbers that they're posting, along with solid profit margin expansions, the free cash flow continues to sort of dwindle. And I think that's the biggest issue in terms of how much do you pay for these companies as that free cash flow continues to be pressured and how long will it continue to be pressured? OK, so let's the three of us try and unpick what happened with Meta. The stock's down 10 percent on track for its biggest drop since October 30th.
9:08The outlook for revenue in the current period was a range of 58 to 61 billion dollars, basically bang in line with consensus. And then there wasn't another number, right? There wasn't another metric, Yoko, that said all of this investment into AI is paying off. you know i think we saw some uh nice numbers in terms of ad pricing um you know that was up 12 percent uh and so i think it was it was solid but not great i think it it wasn't a blowout or some sort of acceleration there um and then we haven't had some you know great efficiency numbers or any kind of quantifiable tangible numbers coming out of muse spark and and what that means so So, you know, just I think there's a little bit of impatience relative to investors for Meta.
9:59But I think that that's going to come around. And again, Meta is in control of that CapEx spend, so they can dial it back if they need to. I think the higher CapEx spend does reflect a lot of the additional costs that you're seeing from an input perspective, whether it's energy or memory chips. Those are all flowing through. So I'm not sure they're intentionally spending that much more. I think a lot of this is that cost of push that is impacting CapEx spend. Yeah, Susan Lee talking about those component prices. Ioko, push us forward. You also own Apple. Apple comes after the bell. Look, can they show some resilience that they can compete in the AI space, even if they're not having to invest in the same sort of way?
10:42Yeah, no, Apple's been, you know, a great follower in technology, right? They tend to perfect the user experience when it comes to new technology. And so we continue to think that they're working on that, whether it's with new enhancements to Siri. And we do think that they continue to be very diligent when it comes to their free cash flow. And you continue to see that they're not spending as much when it comes to this arms race for AI. Ayoko Yoshioka from Wealth Enhancement Group. Thank you very much for joining us on Bloomberg Tech. Another story out of Asia overnight, Samsung shares actually kind of modestly lowered down 2%, but record profits over the March quarter.
11:29In fact, we're talking about the chip division where profits sold 48 fold. It's a story about AI spending, just as we've been discussing, but also what Bloomberg is now calling the memory chip super cycle. Samsung exposure to both on the fab side, on the memory side as well. The shares kind of in Korea, pretty muted. Cara? Qualcomm's got exposure to both. And this is a story of trying to pivot into the world of AI spending and more away from the complete exposure it had to mobile phones. Up 17%. This stock was down after hours. The volatility is extraordinary. We've all focused on this mystery leading hyperscaler custom silicon engagement that they've got that they say is on track.
12:10initial shipments later this calendar year. This is the pivot that many want to see in the investor base. Yes, you're in automotive. Yes, you're in the phones. Yes, you're in the IoT space. But are you in data centers? They're saying they're going to be soon. And look, the CEO, Cristiano Amon, is going to be joining us later this hour to tell us a little bit more. What a ride. Now coming up, we're also going to be diving into Anthropics ride, the push to ramp up fundraising, weighing a fresh round that would value the startup more than$900 billion. That was your conversation that you had, Ed, with Anthropoc.
12:40Well, you've been helping focus on Anthropoc. You'll also be having a conversation with the Stripe president, John Collison, after the company announced new AI tools and a new partnership with Google. This is Bloomberg Tech.
12:53The right technology can strengthen human judgment. That's why Deloitte brings together AI and data analytics with multidisciplinary teams. People with deep industry experience who can challenge assumptions and help you connect the dots across your enterprise. From risk signals to operational pressure points to shifting customer needs, Deloitte helps you see what's coming sooner. So opportunities don't slip by and surprises don't spread. It's not just dashboards. It's real clarity in the moments your decisions are made. When models reveal patterns, people can ask better questions. When data and people are connected, leaders can move faster with confidence.
13:33And when your teams are aligned, smart choices can scale from the front line to the C-suite. Because the smarter your systems, the sharper your instincts. That's how technology makes people better at what they do best. Deloitte. Together makes progress. Learn more at Deloitte.com slash together makes progress. Support for the show comes from Public. Public is an investing platform that offers access to stocks, options, bonds, and crypto. And they've also integrated AI with tools that can assist investors in building customized portfolios. One of these tools is called Generated Assets. It allows you to turn your ideas into investable indexes.
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14:57Sample prompts are for illustrative purposes only, not investment advice. All investing involves risk of loss. See complete disclosures at public.com slash disclosures. If you follow markets, you know the value of long-term thinking. You plan, you diversify, you prepare for volatility. But in life, even the best strategies can't prevent every bad day. A fire, a loss, a disruption that demands immediate attention. When that happens, what matters isn't just what you planned, it's who shows up. That's where Cincinnati Insurance comes in. For more than 75 years, they've helped individuals and businesses navigate life's toughest moments with care, expertise, and personal attention.
15:37Together with independent agents, Cincinnati Insurance focuses on relationships, not transactions. Their approach is grounded in experience, follow-through, and trust built over time. Bad days happen, and when they do, you deserve an insurance partner who understands risk, respects what you've built, and is ready to help you move forward. The Cincinnati Insurance Companies. Let them make your bad day better. Find an independent agent at CINFIN.com. anthropic has begun weighing a fresh funding round that could value the ai developer at more than 900 billion dollars according to sources potentially overtaking longtime rival open ai as the world's most valuable ai startup bloomberg's natasha mascarin is part of the team that broke the story with us now i think we've got to be very specific with this this is investors going to Anthropic and saying, let's do this.
16:35But take that and give us the details that we have so far. Yeah, sure. So last week, we talked about unsolicited term sheets getting ahead of Anthropic's way at around an$800 billion valuation. Which we said Anthropic rebuffed. They basically said, no, thank you. Exactly. The update now is that Anthropic is actually engaging in those conversations at a$900 billion valuation, even higher. but no term sheet has been signed. So this is not one of those deals where we expect to see a press release, the ink dry by end of day. This is one of those deals where Anthropic is hearing these offers and is responding to the investors that have approached them.
17:17And it comes in the backdrop of, you know, Google and Amazon putting tons of capital into Anthropic at around a 350 billion valuation. So to me, this is a really interesting example of there being kind of two tails of capital raising at the same time. Yeah. Natasha, why the change of heart? Is it a change of heart? Is there a need that before they could tap the public markets? Because we've all been talking about an IPO for this year. You know, it's pretty much the standard dance in AI fundraising these days is how I see it. When investors approach a company with an offer to invest, a million things could be, you know, wrong, so to speak.
17:54It could be the wrong investor, the wrong price. With Anthropic, we all know very clearly that they need capital to fund their compute needs. It's why they've brought on so many strategics. It's also what financial investors are, frankly, taking advantage of by saying, listen, we'll come to you before you go public. We'll offer you a fresh tranche of capital, get it all ready, and then go public. And so is it a change of heart? I would say, yeah, it's different than them completely ignoring the offers. These are serious investors that are approaching them with real capital offers. The next thing to break is who they'll accept and at what price.
18:30Like we said, right now, it's at above a$900 billion valuation, which, if accepted, would surpass their biggest rival, OpenAI. Natasha Mascarenas, it's great reporting. Alongside colleagues, including Ed, we appreciate it. Now sticking with Anthropic, the National Security Agency has been testing the startup's new AI model, Mythos, to find cybersecurity vulnerabilities in popular software, including Microsoft products. Now, that's according to a U.S. official and a source who say that NSA officials studying the mythos model, well, they've been impressed by its speed, its efficiency and searching for potential security flaws.
19:03White House officials have spent months preparing a memo that outlines requirements for AI deployment by national security agencies. Sources tell Bloomberg that the wide ranging AI policy will touch on issues that have been at the center of the feud between the Pentagon and Anthropic. Let's get more with Bloomberg's Maggie Eastland in D.C. Maggie, what are you reporting? Yeah, again, Ed, as you said, the White House is preparing this national security memo. It aims to essentially set one standard for how a swath of agencies can work with and contract with AI companies. But what's especially interesting is it addresses each of those key fault lines that we saw come up as Anthropic and the Pentagon were in this very tense feud that resulted in a legal supply chain designation.
19:52So the fault lines, let's dig in. Does this end up allowing federal agencies a workaround here, an ability to keep on using Anthropic's technology? some officials said that they do view this as a workaround now one senior official that we talked to disputed that but the key one of the key terms here is this idea that it directs agencies to diversify the model companies that it's working with now some view this as a way that the pentagon could drop some of the more extreme legal measures that would force it to fully excise anthropic and instead point to this memo, which says that the supply chain risk can be dealt with simply by working with other AI providers, which the Pentagon is already doing in its agreements with OpenAI and XAI.
20:40Totally fascinating reporting. Bloomberg's Maggie Eastland. Thanks for bringing it. Now to another closely watched AI story. Elon Musk is set to take the stand again today in his lawsuit over OpenAI's pivot from a charity to a for-profit business. Now, Elon Musk became visibly irritated during cross-examination yesterday, clashing with OpenAI's lawyer over the exact amount he contributed to the startup. Now, the billionaire is set to wrap up his testimony today, and we followed by his longtime, well, maybe we call him fixer, and Neuralink CEO, Jared Bertschel.
21:17Stripe is partnering with Google to let businesses transact inside of AI mode and the Gemini app. This was part of a slew of announcements made at Stripe's annual customer conference. We caught up with Stripe president and co-founder, John Carlson. I think when people talk about this, it seems really far off. And maybe part of that is, you know, the examples people give almost sound incredibly far off, where it's like, oh, I'll just have my AI agent plan my entire summer vacation, you know, in France. It's like, no, you love planning the summer vacation. You want to do that yourself. Whereas if you say, okay, you just give your AI, this is the recipe I'm making tonight, buy the things I don't have in the fridge already.
22:01Like that's the kind of delegation that, you know, people are much more comfortable with. And so we think people and AI services will kind of work their way up the trust curve. Where again, it's already the case that the research you're doing, the product research you're doing, you do within an AI app. You're probably still confirming that directly, but it might get to the case where you're allowing the AI makes small decisions for you, and especially as it gets to know you. And so again, on the developer side, imagine you're building a website and you need a hosting provider or you need to buy a domain name for it.
22:31Today, it's the case that you go and you find the domain name buying service yourself and you go fill out the form and everything like that. You just want the domain name. You can get it from multiple providers. You'd probably be okay with Cloud Code or Codex or Cursor, whatever you're using, actually choosing how to buy a domain for you. And so it's already the case that people are doing a lot of interactive buying with AIs where they're improving the final step. We think people are already starting to have a little bit and a huge amount of what we announced today is those little decisions. People are delegating them to the AIs.
23:01Buying a domain name, again, is the example I would give. And then as they start to see that it works really well, people will just give them more and more rope. Google has not historically led in payments. The partnership that you've been through today and the changes of integrating Stripe into AI mode in Gemini, does that change their fortunes in that market? I mean, I think Google has done a phenomenal job in commerce generally. And again, Google Pay is very large and successful within the Android ecosystem. And so I don't think that would be quite a fair characterization. I think they've done a phenomenal job enabling commerce.
23:39And again, this is a new tool in the toolbox for them, where now they're enabling within in Gemini, these amazing agenda commerce experiences, which, again, we think just has to be the future because it's so much more convenient for consumers. That's never been the case in technology. When you get a way more convenient way of working for consumers, they pick the less convenient one. It's never happened. That was Stripe President, co-founder John Collison. Great interview, Ed. Now, we've got to get back to earnings. We're going to be getting back with him with Brad Erickson from RBC Capital Markets, who believes Alphabet's future growth and multiple expansion are constrained to some extent.
24:13Not constrained on the market right now, are we? Alphabet, best point addition to the NASDAQ 100, leads the way, and we're at a record high. We're trying to find the common story between all four companies, right? Capital expenditures is probably it. But I think that what all four companies said is that they are constrained in capacity, right? They cannot build the infrastructure that they need quick enough to service, in the case of Alphabet, Amazon, and Microsoft, external demand. And one thing, Carrie, you probably get this right. You know, meta is internal demand for workloads, not necessarily something that's consumer facing.
24:51And it's getting more expensive. Maybe the$145 billion that they guided to gets less bang for the buck when memory prices have soared, when component prices have soared. This is something that we saw Susan Lee really talk about, the fact that pricing pressure is going up. And so maybe that impacts how much CapEx they have to spend. What's interesting, though, is the CapEx is firm for the infrastructure layer. Why then is NVIDIA down? It seems as though a lot of them are talking up their own in-the-house chips. Well, all things could be true. It could be that the TPU is coming for them, as outlined on the call last night.
25:23It could be sell the news. And it could be Qualcomm, which we'll get to later in the program as they are the data center business.
25:35Welcome back to Bloomberg Tech. And let's take a look at today's big number. We've talked about it already. $725 billion. That is how much Amazon, Alphabet, Meta, Microsoft, together alone, are expected to spend in 2026, upping their AI spending plans after their March quarter. But with still a key question, when will we see return on all this AI spending? Well, we saw it from Alphabet, and people are applauding the numbers because Google Cloud on fire more than 60 % growth, and we're seeing really it doing the flywheel effect because they're vertically integrated business model and the fact that people are using their AI tools.
Read the full transcript
26:12We're up 7 % record high. Amazon, that flywheel effect is still there. They create and have custom chips, but of course, they're also making moves on cloud, AWS, 20 % growth. But maybe we come off near record highs on that share price. Down 5 % is Microsoft, and that's more interesting. Yes, they also are spending more, leaning into$190 billion spend for the year. They're also, though, maybe not managing to ramp up the Azure growth as much as people anticipated, but it's still going to be a healthy 40 % in future quarters. It's at 39 % for this particular quarter. Move on and see what's happened in terms of Meta.
26:45I'm afraid we are not applauding Meta's commitment to capital expenditure because they don't have a cloud offering thus yet. Let's just have a little listen to what Mark Zuckerberg really had to say about, well, where his spending is going yesterday. We are increasing our infrastructure CapEx forecast for this year. Most of that is due to higher component costs, particularly memory pricing. But every sign that we're seeing in our own work and across the industry gives us confidence in this investment. That said, we are very focused on increasing the efficiency of our investments. Let's get into it with RBC's internet analyst, Brad Erickson, whose pre-earnings report flagged Meta's, quote, elevated investment cycle.
27:28And yeah, that's what we got. Meta is a company that operates social media platforms and it makes money from advertising. and at the same time it will spend at the high end$145 billion in infrastructure to support its work in AI. For me, there just wasn't that number that explained this is the result of that investment. This is how our AI work is getting traction with the world. Is that your take, Brad? Yeah, I think that's a very fair way to sort of look at it. But, you know, each quarter that ticks off with all of these companies, right, we, fair or unfair, we have to evaluate kind of what have you done for me lately relative to that spend.
28:15And clearly the cloud, the commercial cloud vendors last night are the ones showing sort of the best return, particularly with that margin upside. Whereas with Meta, you've got a deceleration, just start there, right? The revenue was fine in the quarter, but you do have a little bit more deceleration in their guidance for Q2. And then they were the only ones to raise the CapEx guide, at least on an organic basis. Amazon and Google, Google had to raise their CapEx, but it wasn't. It was because of an acquisition, not because of higher component pricing. So, yeah, it's just a tough combination for kind of that next day stock reaction.
28:53I use Meta AI. I'm sure Caroline uses Meta AI too, but I don't pay for it. I use it within the Instagram app, for example, or I'm aware of Ray-Ban Meta's voice-based assistant version of Meta AI. A parallel example was Alphabet giving us data quarter on quarter for Gemini's enterprise growth, 40%. Meta doesn't have that sales channel. So what is it that Mark Zuckerberg can say other than MuseSpark, the latest model, is making ads better that will convince the street, yeah, let's keep going with this? Yeah, sure. Yeah, I mean, there's always going to be optimization, right? They drive, you know, more content recommendation gets people staying on there for longer.
29:34They show more ad impressions. They find people with better ads that convert more. So there's all sorts of value creation that's still going to happen there. But yeah, I kind of agree with you. I think, you know, clearly on the enterprise, there's a far more compelling argument for for, you know, enterprise developers adopting things like Gemini or Anthropic or or ChatGPT, where I think the idea, though, that we're kind of broaching for people. We call it born on Meta. And what it means is we actually think there's big opportunities that are probably underappreciated for Meta to almost start to help small businesses start, exist and execute entirely on Meta.
30:16We think that's a possibility in the future. Today, you start a small business somewhere else. You come to Meta to market. It's certainly helpful for the business, but they've only participated in kind of that advertising portion of it. imagine if meta AI started like helping you ideate, originate, literally start businesses on the platform that were specifically geared around success with the ads, right? Like there's a connection there that I think the super intelligence group is aiming to make. And I think it's subtle at this point, but it's a topic we're kind of trying to elevate for people because I think that might be the more compelling way that they use meta AI in the future.
30:55Briefly, there was lip service given by, in a statement, Susan Lee, that there's the regulatory overhang and that could impact future revenues. How much is that a worry for you at the moment, Brad? You know, that's a, you know, you hear it referred to as kind of the big tobacco moment. I mean, that would be relative to kind of social media usage broadly in today's world. That would be such a seismic change. It's a risk. it's we worry about a lot of stuff on stocks. That's something that's completely out of sort of everyone's control at this point. But yeah, if that happens and they are forced to kind of throttle usage for users below a certain age, it will absolutely meaningfully impact the business.
31:40It's also just one of those things. A, it's totally unpredictable. B, you know, there will be like years of appeals involved. And so I don't want to say a fine or a settlement looks more likely, but historically, we've seen that be kind of the primary outcome of these types of situations. RBC's internet analyst, Brad Erickson, really glad we could dig into Meta with you. Thank you very much indeed. Look, we've got more earnings. Apple reports later today its first release since the iPhone maker really announced the hardware chief. John Turnus will succeed the CEO, Tim Cook. Let's get the details of what to expect with Bloomberg's Mark Gurman.
32:12Like, almost is it a sideshow, the earnings? Yeah, I mean, this is going to be quite interesting, right? A week ago, They announced that Tim Cook is stepping down September 1st, being replaced by John Ternus, as we anticipated. I'll be looking out for any other new color on the transition, if Ternus is going to speak and give some insights to Wall Street for the first time. I'm going to be interested to see how that all gets split up. Obviously, from a numbers perspective, we're expecting some pretty numbers, right? 13 % to 16 % year-over-year revenue increase is what Apple guided. A few key factors in there.
32:48The biggest one is pent-up demand for iPhone 17 Pro and Pro Max. That launched last September, obviously, but there were some supply chain constraints through the tail end of the first quarter, which means that some sales bled into the second quarter. So we'll see a bit of an iPhone increase because of those products. And then they had their wave of new Mac and iPad and iPhone 17 launches very much at the tail end of the March quarter, which obviously contributed as well. The MacBook Neo has been a strong seller, so you're likely to see a big jump in Mac revenue as well. Mark, I think we're showing Apple shares up modestly, half percentage point, treading water until tonight.
33:29But we should probably address how much of a leading indicator Qualcomm is. They told us that the Android market in China will bottom in Q3. Memory pricing is clearly an issue. What data do we have about Apple facing similar issues? You know, the Qualcomm stuff is interesting, actually. It's hard to put two and two together at this point, just because the Android market is not selling well in particular parts of the world like China. You know, there's no telling if that means that the iPhone is also not selling well. It's possible that the Android market is not selling well because people are buying iPhones instead.
34:06So I really wouldn't read too much into it. Okay, Bloomberg's Mark Gurman on deck after the market close today for a big Apple print. Thank you very much. Support for the show comes from Public. Public is an investing platform that offers access to stocks, options, bonds, and crypto. And they've also integrated AI with tools that can assist investors in building customized portfolios. One of these tools is called Generated Assets. It allows you to turn your ideas into investable indexes. So let's say you're interested in something specific like biotech companies with high R &D spend, small cap stocks with improving operating margins, or the S &P 500 minus high-debt companies, chances are there isn't an ETF that fits your exact criteria.
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37:05137 Ventures has raised$700 million split across two new funds. The firm has put money behind some familiar names like Anduril, Gusteau, Ramp, and SpaceX. Justin Fishner-Wolfson, founder and managing partner at 137, joins us here in San Francisco. Good morning. Morning. This is interesting how you've done this. This is two funds where each serves a purpose. It takes your assets under management to$15 billion. And I mean this, Justin, with respect. Your firm's gone a little under the radar. And now here you are, arriving at this moment. I mean, I think we've just been focused on investing. So maybe I think within the venture ecosystem, people know us.
37:47I want to talk about one of the funds in particular. I find this very interesting. The idea of some of the capital is that you offer liquidity, right, to founders that you back, their employees in different forms? Why specifically earmark some money for that? So if you kind of rewind the clock, right, we started the firm about 16 years ago. And, you know, our thesis was that companies were going to stay private longer. And the challenge of companies staying private longer was going to be that founders, executives, employees were going to need liquidity. Like working capital. I mean, look, if you start a company when you're 25 and then you end up being 35, your life is different.
38:28Maybe you want to buy a house. In the same way, all these companies need more growth capital. And so we've seen the availability of that expand in the private markets. And so our general view is if companies stay private longer, there are going to be more opportunities to invest in them. And opportunities, boy, did you take. You first invested in SpaceX, for example, in 2010. You've written two dozen checks, it tells me, into SpaceX since. How much now do you own? of SpaceX, if you're able to do that? I mean, I think at this point, we're, I think we own well over$10 billion. So it's a pretty big position for us.
39:02And we've had a lot of conviction in the business over the last, you know, 15, 16 years. So yeah, we're excited. I mean, if you were in in 2010, what sort of returns can the LPs be expecting on this? Oh, gosh, some of those, some of those investments, I think, are probably like 100x investments at this point. It's interesting. Your$10 billion of position in SpaceX, I think, would be around 1 % of the company. But you've got a decision to make. So if we're right, and Bloomberg's reporting that... Bloomberg is always right. Bloomberg is very often right. But we're reporting that SpaceX goes public in late June at a valuation of up to$2 trillion, whatever it ends up raising,$75 billion.
39:48You keep talking about the whole point of the firm is to invest in companies over that longer time horizon. In that case, companies are staying private longer. What do you do for your LPs or for your firm in an IPO scenario? Do you stick with it or what's the strategy? I mean, I think the exciting part about SpaceX is like the next 20 years of the business. And so I agree with your question. I think it's a hard decision. Ultimately, let's see where we get to, right? We'll find out what the company price is at. As you know, these things tend to happen the night before. So I think there's a lot of information between now and when the IPO happens.
40:25And I think we're going to be happy with all outcomes. But we're sort of excited for the next couple of decades. I wanted to look backward a little bit. The first investment around 2010, you had already had a history with SpaceX from your time at Founders Fund. But if you did do two dozen checks over 15, 16 years, what was that like? We make a lot on this program of Google and Fidelity, Founders Fund coming in in these bigger rounds, but you were able to participate. I think really the thing that we did is consistency. We were excited about the business. We had conviction about the business, and so we kept investing.
41:01Some people wrote it one check, and that obviously was a huge outcome, but we showed up year in, year out, and that's really paid off. And now new people show up. SPVs, access to retail. Is that what naturally has to happen if we're going to get these companies staying private longer? What's the tension there? I mean, once the company's public, obviously, everyone will have an opportunity to invest in it. I think, you know, as we've seen more capital become available in the private markets, I mean, you've seen, you know, some of the large crossover funds get involved. So, I mean, there's just, there's an incredible increase in the amount of capital available in the private markets relative to 10 or 15 years ago.
41:45And so I do think some of these things are sort of the natural evolution of the private markets. On SPVs, sorry, I just wanted, I want to get an answer to your question because on the show, we talked a lot about claimed ownership of a company. SpaceX is a prime example, but Andrew Rills talks about this as well. There are people out there purporting to have a position, but they bought in through some SPV structure ahead of an IPO. What's the reality of that? what happens when the real ownership becomes clear? Well, I mean, I think the greater concern is just fraud in the private markets, right?
42:17And so just because people, there's clearly been fraud in the SpaceX market, in the Andro market. So I think that people need to be thoughtful about who they're partnering with and who they're doing business with, because I think we'll find out, I don't know, a year after the IPO when people think they're getting shares and they don't get them, right, what actually happens. That's because of a lockup period. There'll be some kind of lockup period or whatever, but I just think it takes a while for people to actually start demanding the shares that they thought they owned. And I think that's going to be an unfortunate consequence of some number of bad actors in the market.
42:51And a big claim, and one I'm sure regulators will be looking at, and one Bloomberg will continue to report on. Justin Fishnoholson, it's great to have some time with you, founder, managing partner at 137 Ventures. Now, investors, look at how they're cheering Qualcomm's entry into AI, sparking the biggest intraday rally after their earnings since October. This is after the company revealed it will ship custom AI chips to a major hyperscaler later this year. Joining us now, Qualcomm CEO, Cristiano Amon. Who is the hyperscaler, Cristiano? I'll tell you all about it on June 24th. It's going to be three days after my birthday.
43:31June the 24th, we've got to hold on to. But what does this signal about... You have been a man who's committed to telling the market that you are expanding the market. It's not just about mobile phones, while Qualcomm has really dominated the market share. But Chip's now in automobiles, in IoT, but really in the data center. What sort of TAM, what sort of expansion of Qualcomm's business will this mean for you? Yeah, look, you know, this is a great question. And I want to maybe start the answer by saying, you know, why would not anybody, you know, bet on Qualcomm diversification efforts? We started as a mobile company.
44:06If you look at what we're doing right now, we expanded into PC. We became one of the largest providers of semiconductor to automotive. We're going to industrial. We're going to robotics. We're going to broadband and networking. And I think the data center was a natural thing. We have been working on this for the past couple of years. We've been consistently saying we're building assets. We acquire companies like Alpha Wave. We have a pretty good CPU, a very good accelerator. We're not a small company. We ship 40 billion chips. So I actually, I don't know why people would bet against Qualcomm, but I think it's okay.
44:39We're just being on this road to execution like we have done on the other business. And we're very exciting because I think what's really happening right now, as we enter this next phase of AI, we went from training to inference, now agents, which actually would generate demand for tokens. It provides an opportunity across the entire Qualcomm business. All of those devices where people are going to have agents running, whether it's phones and PCs, they're going to go to an upgrade cycle. And then some of the assets that we build create opportunity for data center. Cristiano, specificity is so important here.
45:17You said, and you can correct me if I'm wrong, you said it was an ASIC product, which I think the market's looked at and is a little bit surprised. So you are not doing your own chip. You're not doing merchant silicon, your own designs for market. You're doing an ASIC with someone. So we have said that our data center product, and I need to make sure I don't front run my investor day. I'm trying. Yeah, I understand that. My data center product offering includes three vectors. One is CPU. We are developing a CPU and we're very flexible. We can provide a full SOC, we can provide chiplets, so that's one asset.
46:02The other asset is an accelerator. We have the accelerator with innovative memory architecture. We don't need HBM for the disaggregated inference. The other one is the ability to do custom chip, which when we acquire Alpha Wave, they have both a lot of IP, which is important for custom ASIC, as well as a custom chip team. When you put everything together, it creates a lot of opportunities for Qualcomm. Now, here's what is important to understand. The data center market is highly concentrated. There are about six to eight companies that represent the majority of it. And what you see what's happening in the market right now, a lot of solutions are becoming bespoke.
46:46They're no longer just merchant solutions. So I think as Qualcomm entered the space, you should expect that we will offer a lot of flexibility and we'll leverage our supply chain and our design capability to do bespoke products. And I think that's what we're doing. Four to six companies. That's interesting. So this depends on your definition of hyperscaler. Like, for example, Meta is not a cloud computing company, but it operates at hyperscale, its own data center infrastructure. So maybe that's what we're talking about here, the definition of what is or is not a hyperscaler. Look, I'm just going to cut to the chase.
47:26We're talking about a large hyperscalers. You should be thinking about one of the large cloud companies that we have today. It's a scale business. So I think that's what we're talking about. Oh, getting closer. The potential customers, therefore, are four to six, but they're huge. And maybe they're even more than that. So just can you get specific about how big the opportunity is for this particular part of the business? How much you think it could ramp up revenue? Is that something you're able to push ahead of before the investment meeting? Look, I don't want to get ahead of our skis. We're executing.
48:05We're very pleased with the engagement. And what we said is it will be material in fiscal 27. Now, if you look at the scale of the Qualcomm revenue base, I think anything material to Qualcomm is probably in the multiple of billion dollars in fiscal 27. But look, we're just starting, and we're very happy with the progress we're making. Cristiano, I think back very fondly to when you and I were on stage together at the Bloomberg Tech Summit. I think it was three years ago now, and we talked about the world where we switched to inference running on device. But actually, Qualcomm's story has really changed in that time, right?
48:42So in this world where we're moving to inference and we're moving to agentic, how are you positioning Qualcomm? The CPU is important, but you must think differently to how you did three years ago. Look, frankly, it's actually playing out exactly the way we thought. And I know we have a limited time, but when you start running agents and when you start running things like OpenClaw and a bunch of other claws, actually what is fascinating to see what's happening in the phone industry, every Android OEM right now is launching their own claw. And the way agents work, they actually operate your device for you.
49:26So what you're going to see at the end, you're going to see a lot of activity in the cloud, and you're going to see also activity on the device. And it's all going to magically work. I almost like to say this. I am sure you have probably 200 apps on your phone or close to that. At least. We never have a discussion about how much each app is doing on the cloud or doing on the device. It just works. And I think that's how we see those agents working. They look at your data. They look at things on your device. They do things for you and they do stuff on the cloud. And I think that's why I believe this actually builds into the Qualcomm assets and the fact that we're present everywhere.
50:05Our engagement with the cloud companies right now, they look at our devices at end point for AI. And that's also exciting. I think we're talking with all the AI companies about their new and exciting devices. What's less exciting has been supply chain disruption. But you were really clear with investors and they liked it quickly with 30 seconds. Memory, you see an end point, at least in China. Yeah, look, the reality is everything needs memory, and AI drives more memory demand. They drove a lot of demand at a data center. It caused a crunch on the consumer electronics. The good thing is we now see the bottom.
50:41As I said in the call, we're under shipping market demand. We look at customer activations of devices and sell-through data. We see what the demand is. That's now we can call the bottom. and, you know, there's going to be more supply and more suppliers and we'll see how this is going to play out. The market is taking this really seriously. Qualcomm having its best day since April 2019. Qualcomm's Cristiano Amon. Thank you very much. Caroline, that, I don't know, for me, in the 10 years I've been here, an extraordinary technology earnings 24 hours. And that does it for this edition of Bloomberg Tech.
51:17Super Bowl. 72nd Super Bowl. All came yesterday, but there's more to come. There's the second half of the Super Bowl. It's Apple tonight. Don't forget. Check out our podcast. You'll find it on the terminal as well as online on Apple, Spotify, and iHeart. From New York, from San Francisco, this is Bloomberg Tech. When you're running a business, the best days are the ones where priorities stay on track. For midsize and large companies, risk can affect multiple parts of the organization at once, from property and liability to cyber and regulatory challenges. At that level, managing risk becomes an ongoing discipline.
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Bloomberg’s Caroline Hyde and Ed Ludlow discuss tech earnings as Alphabet and Amazon see a clear payoff from their AI spending, while Meta lags behind. Plus, Anthropic has begun weighing a fresh funding round that would value the AI developer at more than $900 billion. And Stripe President John Collison discusses the company's new AI tools and partnership with Google.
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