In short
Bloomberg Tech Episode Summary: Memory Prices Hit Cisco, Apple Faces Siri Snags
Episode Overview In this episode of Bloomberg Tech, hosts Caroline Hyde and Ed Ludlow discuss the implications of fluctuating memory chip prices on Cisco's stock, Apple's ongoing challenges with its Siri voice assistant, and the launch of an AI tax-planning tool by Altruist that impacted wealth management stocks dramatically.
Key Topics Covered
- Cisco's Stock Reaction to Memory Prices
- Current Market Dynamics:
- Cisco's stock has seen a significant decline, dropping 11% after a previous rise of 11%. This marks its largest drop since May 2022.
- Concerns arise from high memory chip prices impacting gross margins despite strong demand for AI-driven products.
- Expert Insights:
- Wu Jin-ho (Bloomberg Intelligence Analyst) explains Cisco's position as a leading provider of networking equipment and cloud services needed for AI workloads. The gross margin erosion due to increased DRAM prices is a significant concern.
- Future projections suggest potential stability in gross margins if Cisco's software business expands by 2027.
- Challenges Faced by Apple’s Siri Voice Assistant
- Delayed Features:
- Apple’s revamp of Siri, initially set for release in March 2024, is now delayed, with some features possibly pushed to September 2024.
- Competitive Landscape:
- The delay raises concerns about how Siri will stack up against competitors like OpenAI and Google’s AI developments.
- The collaboration between Apple and Google’s Gemini team is seen as critical for overcoming these challenges.
- Altruist's AI Tax Planning Tool Launch
- Market Disruption:
- Altruist introduced an AI tool named Hazel for tax planning, causing a notable decline in wealth management stocks, including Charles Schwab and LPL.
- CEO Insights:
- Jason Wenk, Altruist CEO, emphasizes that the tool is designed to empower wealth managers rather than replace them. The tool significantly reduces the time and cost associated with tax planning.
- Broader Market Trends
- Overall Market Sentiment:
- There is a noted anxiety surrounding earnings forecasts and consumer price index (CPI) data affecting stock performances, particularly in technology and wealth management.
- Investment Opportunities:
- Tony Wong, Portfolio Manager at T. Rowe Price, discusses the importance of companies embedding AI into their workflows for improved productivity and margins, despite the current software sell-off being perceived as an overreaction.
Key Takeaways
- Cisco's Situation: The company faces margin pressures from rising memory prices even as AI demand strengthens, highlighting the mixed impact of AI on traditional tech businesses.
- Apple's Siri Update: The delays in Siri's updates may hinder Apple's competitive edge in the AI space, underscoring the rapid pace of technological advancements from rivals.
- Altruist's Disruption: The launch of Hazel demonstrates how AI can transform traditional sectors like wealth management, enabling more efficient services, though it poses competitive threats to established firms.
- Market Anxiety: Investors are nervous about pricing pressures and upcoming CPI data, leading to cautious sentiment across tech stocks.
Conclusion The episode encapsulates the ongoing tensions in the tech industry, where advancements in AI are reshaping traditional business models while also creating new competitive dynamics. The discussions highlight the need for firms to adapt rapidly to maintain relevance in a fast-evolving market landscape.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOMarket Overview and Key Tech Stories
0:45 to 1:48
An overview of the current market situation, focusing on major tech stories.
“You can find new episodes of the Bloomberg Daybreak Europe podcast by 7am in Dublin or 8am in Brussels, Berlin and Paris.”
Cisco's Struggles with Memory Prices
1:48 to 4:10
Discussion on Cisco's challenges due to rising memory chip prices and its implications.
“We focus in on Cisco that I know you'll go to.”
Investment Insights from Tony Wong
4:10 to 6:54
Tony Wong shares insights on the software sell-off and the impact of AI on productivity.
“Look, all of this is as Cisco's numbers.”
The Future of Specialized Software
6:54 to 10:05
Exploration of how AI is reshaping the software landscape and market dynamics.
“Tony, NVIDIA CEO Jensen Wong has this line that software is now worth paying for.”
Cisco and Memory Price Implications
10:05 to 11:23
Discussion on the memory price implications for Cisco and the broader tech market.
“And your science and technology fund has all the trends.”
Apple's Siri Challenges and Future Launch
11:23 to 14:01
Insights into Apple's Siri voice assistant's delays and its expected features.
“Now, coming up Apple's new Siri runs into more snags during testing.”
Apple's Siri Chatbot Revamp
14:01 to 14:30
Learn about the upcoming Siri chatbot updates and their potential impact.
“I do expect this big Siri chatbot revamp in iOS 27 coming out with the iPhones in the fall to be pretty nifty and pretty cool, a new way to control your phone with AI.”
Social Media Addiction Case Testimony
14:35 to 17:16
Explore the key points from Adam Masseri's testimony on social media addiction.
“Masseri told the jury he doesn't consider problematic use of platforms like Meta to be the same as, quote, critical addiction.”
AI's Impact on Wealth Management
17:40 to 20:04
Understand how AI is reshaping wealth management with new tools.
“And it's been a wonky, worrying few days for wealth managers and those who've had shares in it, considering the technology's impact.”
The Future of Wealth Management Tools
20:12 to 23:26
Discover the advantages Altruist's Hazel brings to wealth management.
“Jason, you will have noticed that some of the CEOs of those wealth managers appeared on television in the days that followed the sell-off.”
Show all 24 chapters
Market Analysis and Financial Trends
23:42 to 24:00
Insights on market trends and the impact of memory pricing.
“Sorry, we're out of time, but grateful for the conversation.”
Funding Round for Anthropic
24:02 to 28:00
Details on Anthropic's significant funding round and investor interest.
“Let's just go through it in terms of the NASDAQ benchmark, currently off by 1.8%.”
Waymo's Expansion Plans and IPO Considerations
28:00 to 29:45
Learn about Waymo's focus on safety and operational excellence as they expand.
“Bloomberg's Natasha Mascarenas, thank you very much.”
Federal Standards for Autonomous Vehicle Safety
29:45 to 31:30
Explore the importance of federal AV standards for technology adoption.
“And we think that the burden should be on companies to demonstrate why you believe your technology is safe enough.”
Challenges of Launching in New Markets
31:30 to 33:56
Understand the hurdles Waymo faces in deploying in cities like New York.
“the boroughs that you propose to launch in.”
Waymo's Growth Strategy and London Launch
33:56 to 35:58
Discover how Waymo plans to scale its operations in London and beyond.
“Look, this is about disruption of transport.”
AI Startup Simile's Mission and Funding
35:58 to 37:55
Learn about Simile's approach to predicting human behavior using AI.
“So Simile is a company that is spinning out of Stanford, where we led frontier research on creating agents and simulations that leverages gender-to-be-eye technology.”
Simile's Innovative Models for Predictions
37:55 to 40:03
Explore how Simile uses data to create predictive models for businesses.
“So in the recent earnings call we simulated, we actually can predict 8 out of 10 questions that are actually asked in this call.”
Impact of Crypto Market Trends on Coinbase
40:03 to 42:00
Understand how market trends affect Coinbase's revenue expectations.
“Asian delivery firm Grab missed analyst expectations on its full year forecast, a sign that weaker consumer sentiment is weighing on the company.”
Fintech Growth and Loan Portfolio Expansion
42:00 to 42:22
Learn about the rapid growth in financial services and loan portfolio expectations.
“Financial service is also continues to be our fastest growing segment of our business today.”
Coinbase Earnings Predictions Amid Crypto Decline
42:22 to 42:50
Discover the impact of falling Bitcoin prices on Coinbase's revenue expectations.
“From delivery to fintech, grab CFO Peter Uwe there.”
Volatility's Impact on Crypto Trading
42:50 to 43:32
Understand how volatility affects trading activity and revenue for exchanges.
“So what happens when prices drop continuously, a lot of the retail traders stay on the sidelines.”
Challenges Facing Crypto Trading Providers
43:32 to 44:13
Examine the challenges and revenue declines faced by crypto trading platforms.
“So you can have a lot of volatility, a lot of trading during those days, but then you can have slower activity, lower activity in the days kind of in between those very high volatility days.”
Coinbase's Diversification Efforts
44:13 to 45:03
Learn about Coinbase's initiatives to diversify and stabilize its revenue streams.
“Briefly, Coinbase has tried to diversify ahead of this.”
Transcript
Automatic transcript. May contain errors.0:00Hello, I'm Stephen Carroll. I'm in Brussels where many of Europe's biggest decisions get made. And I'm Caroline Hepker in London with the hosts of the Bloomberg Daybreak Europe podcast. We're up early every weekday keeping an eye on what's happening across Europe and around the world. We do it early so the news is fresh, not recycled and so you know what actually matters as the day gets going. From Brussels, I'm following the politics, policy and the people shaping the European Union right now. And from London, I'm looking at what all that means for markets, money and the wider economy. We've got reporters across Europe and around the globe feeding in as stories break.
0:37So whether it's geopolitics, energy, tech or markets, you're hearing it while it happens. It's smart, calm and to the point. And it fits into your morning. You can find new episodes of the Bloomberg Daybreak Europe podcast by 7am in Dublin or 8am in Brussels, Berlin and Paris. On Apple, Spotify, YouTube or wherever you get your podcasts.
1:02Bloomberg Audio Studios. Podcasts. Radio. News.
1:11Bloomberg Tech is live from coast to coast with Caroline Hyde in New York and Ed Ludlow in San Francisco. This is Bloomberg Tech coming up. Memory chip prices strike again, this time taking a toll on Cisco, even as AI demand surges. We'll break it down. Plus, Apple's revamp of its Siri voice assistant hits new snags that could delay the release of some features. And Altruist launched an AI tax planning tool. And within hours, wealth management stocks tumbled. The CEO of Altruist joins us to discuss. But first, we check in on these markets that in many ways are still digesting AI disruption. We focus in on Cisco that I know you'll go to.
1:54We're off by 1 % on the Nasdaq 100. That anxiety of costs, of memory costs really building into the benchmark. But more broadly, we're all eyes on costs for consumers. CPI print coming later in the market, just a little bit nervous ahead of that. Bitcoin, down another day. Off by a percentage point, 67 ,000 is where we trade for this particular risk asset. Ed, what are you looking at? There's a lot of pieces of consecutive red on the screens we've been putting up. Cisco, no exception. Down 11%, on track for its biggest drop since May of 2022. and prior to today's session, it was up 11 % and had momentum.
2:30Outlook is strong on sales for the current period. AI demands there, but there's margin compression, memory chip prices. Let's get more with Bloomberg Intelligence Senior Hardware and Network Analyst Wu Jin-ho. It's actually probably a good time to remind us what Cisco is and what Cisco does. But the memory issue is factoring in to servers. And right now you are leading with your React piece on the Bloomberg terminal with the memory chip issue. What do we need to know? Yeah, hey, Ed. So really quickly, what Cisco is is the leading global provider of networking equipment for corporate as well as for data centers.
3:09And they've actually had a foray into cloud data centers to help power some of the AI workloads. Now, what happened last quarter, they got the AI orders, you know, momentum and drove a lot of the upside on sales. But the gross margin issue, especially given from the DRAM pricing, is a lot bigger than we had thought. Chuck Robbins, though, was trying to say that, like, if anyone's going to navigate this, they're going to navigate it. They're already going to their suppliers. They're already thinking about increasing prices. How well can they handle it? Yeah, so we did the math for the third quarter.
3:45There's about 200 basis point product erosion on gross margin. But when we look at the fourth quarter, they're able to stabilize that. Now, if we think about 2027, they actually have a fairly sizable software business. And if software really starts ramping up, we could start seeing some gross margin stability in 2027. Woo Jun-ho of Bloomberg Intelligence. There we have your piece, Cisco's results outlook pinched by memory price spike. Look, all of this is as Cisco's numbers. They highlight the heavy infrastructure build-out, but have investors really questioning what happens next for the implications for software too.
4:20Joining us now to go across the whole gamut is Tony Wong, Portfolio Manager at T. Rowe Price Science and Technology Fund. In his latest thoughts, he says that recent software sell-off is more of a valuation reset and that companies that successfully embed AI into workflows could drive stronger productivity and margins over time. And Tony, what's so great about having your voice on this show as you time and time again have been like the proof point, the ROI is going to be productivity gains. Suddenly we've got the productivity gains sort of shining a light that we're actually worried it's going to really hit valuations.
4:51How do you weigh where we are in terms of the sell-off and if it's overdone? Yeah, well, I think it's the key question the market is wrestling with right now. And so when I think about it, it's really just what is on the right side of change, I think, and what is the inevitability here? And I think what you're seeing with Cloud Cowork is that these agents are becoming more autonomous and they can actually execute things on their own, do more than just like you had to prompt something like Chachamete for your own personal Chachamete. So what's exciting is that these enterprise agents, I think, are going to be more of a force here.
5:32And we're starting to see that really pay off. And when you think about it, I think the market's reacting the way it is, because if you think about it in the future, there are widespread implications for what most mean in terms of software as well as information services. So it's definitely a disruptive potential force here. Disruptive to some of those in your portfolio. I'm looking, you are exposed to Salesforce. You are exposed to Accenture, which people have been worrying about the consultant side of the equation. Even Shopify, even though it delivered strong numbers, got beaten up yesterday.
6:07How are you being discerning at this moment of where you actually buy into on a dip? Because you do think that they'll manage to ride the software disruption. Yeah, so I think that, you know, it's more important that you're the platform and not just the feature. Because if you're a feature, then AI agents can code software so easily and costlessly that you essentially can be embedded in a bigger platform. And so I think that increasingly you want to make sure that you're the layer that all these agents need to coalesce around. I think that there's going to be a lot of change here in terms of, and we honestly don't know.
6:45And so I think the market is in a sell first and ask questions later mode. And so it's important to kind of stay on the right side and manage these changes in the market. Tony, NVIDIA CEO Jensen Wong has this line that software is now worth paying for. The example he would give is cursor. But I guess what we're trying to do with you is define what software is that is worth paying for. You just brought up Salesforce, right? So in the most recent quarter, they had like more than a billion dollars of ARR directly from AI. And they talk about all the almost 19 ,000 agent force deals that they have.
7:24Yet they're still subject to this same AI is going to eat software's lunch chat that's going on right now. Why do people not believe the traction that they have, as an example, that it's worth paying for? Yes, I think there's two things that I think about. One is that there's just so much competition when you think about all these AI native startups. And their pricing in a way that is really compelling. and to drive adoption, essentially. So you think about, like, image generation, right? Like, you pay$20 at ChatDT, you can generate unlimited images, whereas on Adobe, Firefly, you have to pay per image generation.
8:01You know, you can think about, you know, Cloud Coworks, you know, in a similar way in terms of what they're pricing versus the value that they're delivering is really compelling. And so I think, one, you just have a lot of price deflation, and that's why I think a lot of these, you know, software companies are looking to drive adoption, their economics aren't as good as the seed-based model. And we're going from a seed-based model to outcomes and agents, which is a very different version. Just for reference to our audience, Nasdaq 100 near-session low is now down 1.25%. This story started in Europe in August.
8:36I was there in London. I remember the day all the European software stocks sold off. Earlier today, we spoke to the Siemens CEO. Let's get his take. We know that AI has the potential to disrupt some of the software businesses. I mean, if you talk about software which runs on call centers and the like, I mean, that's fully on the block. But if you go on the other end, on industrial software, simulation software, physics-based software, we don't see that at all. We rather see an enrichment of the software which allows more and more customers to use it. another software ceo whose fate is very closely tied to a relationship with nvidia and i think it's important to point that out but his argument is that actually specialized software is getting better because of ai you buy that i think so and i think that most um i think a lot of the economics that we've made at the specialization of the niches.
9:38So, you know, domain-specific knowledge will always be very important. And so, you know, I think just general knowledge is probably going to be not take the economics. And so what really matters is, like, being able to, like, put this into ROI. Now, at the same time, it doesn't mean that if you have a stronger model, that doesn't mean it doesn't create more competition for existing incumbents. So I don't think the battle is won or lost for these companies. And I think it's just important that they stay, front-footed in incorporating the latest technology trends into their platform. And your science and technology fund has all the trends.
10:12You're in hardware, you're in software, your number one holding is Alphabet at the moment, then NVIDIA. But going back full circle to Cisco, your exposure there, what do you think about the memory price implications and how you can weather who are the winners and losers in that situation? How long for? yeah so i think that you know memory there's it's a fascinating industry um because one is secular trends and ai is not just new tam uh and then we've also gone through multiple years of under investment because memory has been a downturn um so i think one it is that they're secular but there's also cyclical elements of it um so you know in terms of our portfolio we definitely own a lot of the bottlenecks where the economic value capture is in um such as memory um at the same time, I think that Cisco networking is also going to be participating in AI.
11:01I think that the implications of the memory shortage is actually becoming more widespread and having implications that a lot of times the market didn't think about. So it is fascinating, but I do think Cisco continues to be a really important company that's driving a lot of this AI adoption. Tony Wong, Dero Price, great to have you back on Bloomberg Tech. Really appreciate it. Now, coming up Apple's new Siri runs into more snags during testing. What's delaying the AI upgrade? We have the Bloomberg reporting next. This is Bloomberg Tech.
11:45Apple's revamp of its Siri voice assistant has hit new challenges that could delay the release of some features, according to sources. Bloomberg's Mark Gurman, as always, has the details. Let's get into the details. What do we need to know? What's new? What are you hearing from inside the company about the latest snag with artificial intelligence-powered Siri? So Apple has been planning to launch the new Siri. This is an AI revamp that initially introduced in June 2024 at its Developers Conference, allowing you to tap into features like your personal data to fulfill queries, on-stream content, and precise control of apps.
12:23It was supposed to launch next month in March as part of an update called iOS 26.4. This had been the plan for several months. It's actually been the plan for well over a year at this point. Now that is being delayed and staggered potentially. Right now the delay is moving many of the Siri capabilities to iOS 26.5. That's scheduled for sometime in May, June, so about a couple-month delay. But some of the features, including the personal context features, those are likely not to launch until September as part of iOS 27. So a bit of a delay there. And, you know, altogether, it's possible that these new features are not going to launch until two years after they were initially introduced.
13:06The setback for Apple here is not necessarily in phone sales. People are still buying iPhones. You saw the$85 billion worth of sales, which could have even been more if not for some manufacturing challenges. But the challenge is, where is OpenAI? Where is Anthropic? Where are Google going to be at the end of this year, right? They're likely to be well ahead of where they are today. So that's really what we have to pay attention to. Let's talk, Mark, about how, therefore, the Google integration is going. Because in many ways, this just fits into the overall Apple intelligence stop-start and how they're going to be building out from within.
13:43My belief is the only reason they're going to be able to get this done this year, which I still believe they're going to do despite these latest snags during testing is because their models are being improved by the Google Gemini team as part of that collaboration between the research labs at both Apple and Google. So that is going to be a major boon for them. I do expect this big Siri chatbot revamp in iOS 27 coming out with the iPhones in the fall to be pretty nifty and pretty cool, a new way to control your phone with AI. They just need to pull it off. And I think they will. But the big question is, how impressive is it going to be in September compared to whatever OpenAI and Gemini has for their own customers and Ropic has with Claude in six months from now?
14:30Bloombergs, Mark Gurman, we appreciate you on all things latest with Apple. Meanwhile, let's turn our attention to social media now, because Instagram boss Adam Masseri testified in a landmark case that likened social media to digital casinos. Masseri told the jury he doesn't consider problematic use of platforms like Meta to be the same as, quote, critical addiction. Bloomberg's legal reporter, Madeleine Meckleberg, is with us. You were there in the hearing NLA. And so the push on Adam Masseri, anything different that we've heard on other occasions that he's testified? So he covered a lot of similar ground to things that we've heard before in congressional testimony and other public remarks about this issue of social media addiction.
15:12Obviously, what's unique here is the context in which he was giving this testimony, which is this landmark case that's testing whether juries will respond to claims that these companies knowingly designed their platforms to addict young users. But we heard him cover a lot of different ground. As you noted, he talked about this issue of clinical addiction versus problematic use, which is something that we hear a lot from social media companies referring to people who use the platforms more than maybe they feel good about. We also heard him talk about some internal emails in the company when he was asked about them by the lawyer about decisions they were weighing about certain features on the platform related to photo filters on Instagram.
15:54Madden, this is a process, right? Both sides present arguments. You have plaintiffs. What do we need to know about what happens next? Who else might testify? And what is under consideration at the heart of the trial? That's right. So we're in week one of what's expected to be an eight-week trial. Adam Mosseri was the first executive to be called to the stand, but he will certainly not be the last. As you said, this is the plaintiff's case. They kind of get the first chunk of time at the trial, and then the defendants, in this case Meta and Google, they're going to get a chance to respond. We're also expecting to hear from Mark Zuckerberg of Meta.
16:34We're expecting to hear from YouTube CEO Neil Mohan at some point. And we're also, we kind of got a little bit of a preview that we're going to be hearing from executives a little bit further down the food chain who maybe were weighing in on some of these decisions. But the heart of this case is about this question of addiction and whether or not these platforms knowingly designed these tools to hook young users, resulting in mental health struggles. This case, of course, centers on one individual, a young woman from California, and her specific allegations. But it represents thousands of other cases that have been filed.
17:09So there's a lot of attention on the outcome here because it's going to dictate how the rest of these cases are decided. Bloomberg's Madeleine Mecklenburg, thank you very much. Now coming up, Altruist introduces a new AI way to plan your taxes. We speak with Jason Wenk, Altruist CEO, next. This is Bloomberg Tech.
17:40AI. It's added again. And it's been a wonky, worrying few days for wealth managers and those who've had shares in it, considering the technology's impact. It's all started Tuesday. A startup called Altruist added a tax planning tool to its AI model, Hazel. Within hours, wealth management stocks had tumbled. Charles Schwab, LPL, Raymond James, as you see, down significantly. And that's as investors really feared AI disruption. The CEO of the company that kicked all of this off, our truist, Jason Wank. Jason, did this take you by surprise? Yeah, I think, to be incredibly honest, I don't think anybody could have possibly thought that somewhere between tens of billions and maybe 100 billion of market cap would be wiped out in a week.
18:21AI is very powerful. And certainly the market reaction tells me that there's a lot of people voting with their dollars and the potential disruption. Jason, all of this is about enabling wealth managers, individual wealth managers from your part. Just remind us what Altruist does and what this new development in terms of building in a tax tool does to help them. Yeah, absolutely. So I think you hit the nail on the head. Like the most important thing is that we're not trying to displace financial advisors or wealth managers. It's not AI taking those jobs away. It's AI to help empower them to do better work for their clients.
19:01And in many ways, when people think about wealth management, you know, there's deservedly a lot of critique. It could be things like, why is it so hard to get access? Like the minimums are really high. Why are the costs very high? Why are the results sometimes inconsistent? And a lot of that is because of how much manual process and human labor is involved. You just have a lot of limiting factors. AI very much is an incredible equalizer. Effectively, with a tool like Hazel, what used to take teams that were 10 or more people working hundreds of hours and costing many tens of thousands of dollars, it can be done in like two to three minutes.
19:45and users, the advisor users in our case, are paying 100-ish dollars per month, right? So much more affordable, much more accessible. And tax is just a start. We launched tax first for what it's worth because it's tax season in the US. We wanted that to be our first agent to kind of get out there in the hands of wealth managers and advisors. But this is a pretty good harbinger of the things that will come. There'll be more agents doing more work that will continue to make advice better, more affordable, and more accessible. Jason, you will have noticed that some of the CEOs of those wealth managers appeared on television in the days that followed the sell-off.
20:18Here's Charles Schwab. Listen to what they had to say. AI is a real accelerant. So it was puzzling to see our stock sell-off related to AI because we're benefiting from it in multiple ways and bringing it to our clients. It's allowing us to reach new clients. And I think that's why you won't see the population of advisors shrink is that AI will be useful in reaching new clients that we couldn't before. it. Has Mr. Worcester or any other leader in that field phoned you since Tuesday? And would you be open to working with these companies literally jointly? Yes. No, I haven't heard directly from Mr.
20:56Worcester. But we already actually work with any independent financial advisor. One of the reasons why we stood up Hazel as a separate entity, Altruist, of course, is a direct competitor to Schwab, Fidelity, LPL, and others. But we wanted Hazel to be something that any advisor could use to help any client. And we didn't want them to be forced into using a single custodian. So there are already thousands of advisors who use Schwab, for example, as a custodian that are leveraging Hazel and doing so to drive better outcomes for their clients and a lot more operational efficiency for themselves. And we have, I'd say, in the last 48 hours, it's in the hundreds of very large, significant wealth management companies around the world reaching out to see if there's a way that we can partner.
21:45So definitely looking forward to putting this tool in as many hands of as many capable advisors in the US as possible. Let's talk about the tool and the technology. What are the data sets that the underlying models trained on? What is your core competence that if there is concern from the legacy industry of wealth management, what is it they should be concerned about? And what is it that makes this model powerful? Well, so there's two parts to that. I'll try to be succinct. But the first is, I think what causes concern is not so much just the AI. It's the fact that we also have built a very modern infrastructure for our wealth business.
22:24So the things you can do on Altruist, you just can't do anywhere else in terms of the speed of opening accounts and funding accounts and managing of assets. If you take AI and you put it on top of bad, antiquated infrastructure, you're not going to get a ton of value. It's kind of akin to putting self-driving on a horse and buggy or something like that. You need to have an entire vertically integrated ecosystem. I think, if anything, that's maybe where some of the market concern is, is that what happens if If something is digital and it's 20 % or 30 % better, you add AI and multiple agents, it becomes 200 % or 300 % better.
23:03Now advisors could very much have a shift in where they decide to custody their assets. That could be pretty monumentally difficult to overcome for some of the big incumbents. As far as what makes the model unique, the way that we built Hazels, we rely, like most AI companies, on having really clean data. So data is a huge advantage. I think, you know, Mr. Worcester was right in saying that data is very critical. In the case of a custodian, you have the ultimate system of record, meaning we have all of this data on clients, transactions. That makes it a lot easier to give personalized analysis and feedback back to the users.
23:42Jason, make a voucher. Sorry, we're out of time, but grateful for the conversation. Coming up, we look at Waymo. We'll be right back. This is Bloomberg Tech.
24:00Welcome back to Bloomberg Tech. A lot of action in the markets today. Let's just go through it in terms of the NASDAQ benchmark, currently off by 1.8%. We're at session lows. This is as we worry about earnings and how they're implicated by prices. Prices and memories, Cisco in particular, down significantly. I want to shine a light and off by 11%. So we've got that anxiety about whether AI is really helping these businesses or whether pricing pressure is hurting them. Remember, the macro picture is about to get CPI data, so pricing pressure for the consumer too. As we build up to that, the market's just a little bit jittery.
24:28Adyen, over in European trading, check it out, by 20%. This is the payments company, FinTech, which is being hit by consumer sentiment being on the downside. Also, a weaker dollar hit them as well in terms of payments, revenue, and their earnings outline just really not living up to expectations. We move on and have a think about what's happening when you've got exposure to the private sector. Now, many are saying, I'm talking BTIG in particular, saying that SoftBank is like the way to play open AI exposure as well, because they've already put$36 billion in. Then we're looking to increase that maybe up to the tune of$30 billion.
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25:00They have an 11 % stake in the business, and actually they managed to post a profit, the fourth quarterly profit in a row, not seen since 2021, as their investment stake in open AI goes up and to the right, helping offset some other losses. But the stock traded in the US, if you're looking at depository receipts, currently up by 3%. So we'll dig into that a little bit more, Ed. But it's interesting what's happening in terms of the SoftBank story. It's a little bit like shuffling the deck and like, you know, you have to sell at certain holdings to fund investment deeper into the names that you're most interested in.
25:31Like, it's not rocket science at the end of the day, Caro. One quick question to ask is like how wide SoftBank is exposed beyond one single name like OpenAI, given how ferocious the lab battle is right now. Yeah, OpenAI they're in on. Remember, they've been going into chip design companies like Ampere. They've been looking real exposure to ARM, but they've been cutting back on their T-Mobile exposure to be able to get more into these privately held businesses. They've also been buying private equity companies, right, because they want the exposure to data center. Yeah, I'm glad the team got that up.
26:03I mean, you know, far right column says everything. Let's get to another story in the private markets that we've been trying to update you on regularly. Anthropic is close to locking in a deal to raise more than$20 billion in a funding round co-led by investors, including Peter Thiel's Founders Fund, The East Shore, and Dragoneer. That's according to Bloomberg's sources. One of the largest startup funding rounds ever. And who's been across it? Bloomberg's VC reporter, Natasha Mascarenas. Important detail. Actually, some of those names are interesting. Dragoneer has come up a lot recently. Waymo was something reported a couple of weeks ago.
26:38What do we need to know? How close is this and who's leading? Yeah, listen, on Monday we were discussing where are the crossover funds in this round. Now we have some examples with D.E. Shaw, with Dragoneer. We also have a continuing list of traditional venture capitalists in the round. What I'm really paying attention to is the addition of Founders Fund to the cap table. That's an early open AI investor. And Founders Fund is known for concentrated bets. So it is interesting to see an early open AI investor go ahead and be a major investor in this anthropic round. And Founders Fund is not alone.
27:08And we're seeing Sequoia as well in the round. And the list grows. It's interesting. I know another VC that makes concentrated bets and doesn't go in to other companies that seem to directly compete. So how much of a taboo is it that VCs back two horses, almost like having some sort of option here? Yeah, I mean, it used to be a huge taboo because of concerns about information leakage. Or how do you really take that out of your head when you're in a partner meeting and discussing two different roadmaps that are both, in this case, going towards a version of AGI? What I would say and what we are reporting is that certain investors get certain information rights.
27:50In the case of OpenAI, sources are telling us that if you have a certain amount of ownership in the company, that comes with its own information. And so what we're really wondering is who's taking big checks in these rounds, because they are the ones that will have to answer the questions of how are we keeping the information separate. Bloomberg's Natasha Mascarenas, thank you very much. Now, Waymo is aiming to have a big year, adding new U.S. and international markets. The RoboTaxi firm also recently raised$16 billion from Parent Alphabet and other outside investors. Co-CEO Takedra Marucana sat down with us and discussed the company's plans, including whether it's considering an IPO.
28:29Listen to this. We are just laser focused on execution, you know, building Waymo to be financially responsible, operationally excellent, and then make sure we maintain the safety culture. Like that's what we're really focused on. having this vote of confidence, as you said, not only from Alphabet, but from our three co-leads from this round and from all of the new investors who decided to join our cap table and the existing ones who doubled down on their belief that this is the right opportunity to fund. And so we just feel humbled. But also, there's a lot to do. So we're just really focused on making sure that we can scale, focusing on our two first international launches, London and Tokyo, and scaling across the United States.
29:14We do not yet have, although there has been progress toward just this week, a federal level framework, set of rules. What do you think the direction of travel is with that? And clearly, if you had to deal with one set of rules and not a city by city, let alone state by state basis or case, you'd be making a bit more progress, I suppose. Yeah, we think it's really important that there is a federal AV standard. We've been advocating for sort of a safety case based approach because the technologies are different. And we think that the burden should be on companies to demonstrate why you believe your technology is safe enough.
29:54We also think there should be transparency requirements. You know, people should have to demonstrate how many trips are you providing? You know, I don't right now. The balance isn't quite there. I mean, some states require a lot of reporting. Some don't require as much reporting. I think the United States has an opportunity with this technology to lead globally. And I don't think you can lead globally if it's a framework that's governed by multiple jurisdictions across the states. And it's a way to slow down the adoption of this technology, not only in the U.S., but in other markets. New York City.
30:28New York City, not necessarily New York State. A lot of people want to know what's the roadblock there, pardon the expression and what's the timeline? You know, you work closely with the authorities, but that is a big potential market. Yeah, that's a market where, you know, we're just going to have to do the work and demonstrate our safety outcomes and earn the trust and chisel away at it over time. Do they have the rules for you to follow? They do not have rules that allow the human operator to be removed from a vehicle entirely. And until that changes. And until that changes. But, you know, there is an interest in doing this in the state, even outside of the city.
31:11And that gives us an opportunity to grow more fans. And fans actually are calling for this in cities where our technology can't be deployed. We are seeing organic campaigns spring up saying, I want Waymo in my town. San Francisco, the Bay Area is my home. London's where I grew up. And I was studying the map of the boroughs that you propose to launch in. And you correct me if my math is wrong, but just based on those boroughs, at launch, this seems to be the biggest citywide deployment from the start that you guys will have done. Is that correct? Possibly it's correct. I mean, we're in the phases of figuring out the specifics around the launch and figuring out the actual framework around the launch.
31:58And so I don't want to speak too definitively about what we're going to do. But what you're speaking to is we're not gated by the technology. Right. And we have the appetite to scale and we want to partner and do so safely and we want to earn trust. So that's like there's a lot of levers there that we have to figure out how to strike the right balance and how to make sure that we're introducing it to the community, both to meet the demand and to grow. I asked because of those 20 cities to come, London is one. Yes. And London is now outside of the European Union, but it's, you know, it's kind of your Europe launch.
32:30Yes. What was that experience like within London's regulatory framework and the UK's regulatory framework? They've been extremely forward-leaning and interested in seeing how this technology could actually improve safety on their roadways. Right. And that's where I think, you know, we find a sweet spot when people are less sort of complacent about the status quo. Waymo, co-CEO, Takedra, Mawakana. Ed, I mean, we've got to check out the full interview. It's on Bloomberg.com, or it's a special edition of Bloomberg Tech Podcast. But really, your conversation is about this extraordinary expansion into London.
33:07And just how, what pace of growth, what signals are you discerning as to how big it could be there? You and I have both called London home, right? And we've taken the bus and the tube and gone on bikes. And so how do they get past what's a really established transit network? And right now, there are several dozen Waymo vehicles testing in London. They are doing that in more than 30 of the 60 London boroughs. You know, like 60 % of the cities already covered. That's way beyond what, for example, Tesla's doing in Austin, right? Even the Bay Area here in terms of their scale and footprint. So there's a big expectation that if this Labour government is doing okay and passes the rules, then they can do this for real this year.
33:50No safety driver or supervisor and have a commercial service at scale that they haven't done that quickly in the United States. Look, this is about disruption of transport. And it looks as though transport and logistics is in the eye of the storm in terms of disruption today as well if you're looking at the markets. Now, you and I have just been poring over some of these market moves. Extraordinary for C.H. Robinson, down by 21%. But you're actually seeing the Dow Transports, the index having its worst day since April of 2025. Currently down by 5%. Now, traders are telling Bloomberg, Kuhn and Nagel, for example, which is another European logistics company, traders are citing an announcement coming from Algorithm.
34:27Now, Algorithm is a US-traded company, and they've announced that as a leading AI technology company, they've published a new white paper demonstrating its semi-cab platform reduces empty freight miles by more than 70 % across active customer networks. Is this the next AI shoe to drop, Ed? It was a severe, sharp drop, and we've got to keep looking into it. Coming up in the program, back to AI. Simile secures$100 million in new funding as it looks to scale predictive AI that mimics human behavior. We have more on that next. This is Bloomberg Tech.
35:14AI startup Simile has raised$100 million in a new funding round led by Index Ventures. Simile is an AI lab that wants to help companies predict human behavior. In fact, a chain of human behaviors. For more, June Park, similarly CEO and one of the founding group, is with us in San Francisco. This is very interesting because the field has tried to develop a model that is a behavior model. And it has had mixed success, some failure. Let's start by talking about the data sets that the model is trained on. How did you develop what you think is a model that does give you an insight or a prediction of how a human might behave?
35:55Absolutely. Thank you for having me. Glad to be here. So Simile is a company that is spinning out of Stanford, where we led frontier research on creating agents and simulations that leverages gender-to-be-eye technology. So today, we partner with millions of real people and combine our data collection strategy with our modeling strategy to create agents that can actually behave in a much more generalizable context. So data here we might leverage include interview data that's unstructured, which is the kind of data in the past was very hard to leverage. Literally people telling you their life stories.
36:29That's exactly right. So we actually create AI interviewer that can go talk to people one-on-one, voice-to-voice, and actually get life stories and their preferences around different policies and so forth with their consent. And to what end? I mean, to build simulations that are 100 % accurate, to then populate this with agents, June, How do you see this work that you've done proving more disruption to the market right now? Right. So today we work at Fortune 10 companies in retailer businesses, to personal finance, to CPG companies, and even to polling companies. And today our customers use our technology to do concept testing.
37:11So, for instance, CVS has been a close partner for the past five months, where CVS has now created hundreds of thousands of similes or, quote-unquote, agents that represent their real customers. So they can actually do simulated focus groups to understand better and understand their pain points and their use cases, but also to do story layout designs and so forth. Gallup, another polling company that's highly well established and respected, is now working with simile to create digital panel of their agents or their simulated human panels. Now, one last example that's interesting is, of course, many of our customers are Fortune 500 companies that regularly have earnings call.
37:48So use case there might actually be creating simulation of the earnings call. So this is an ask that we get frequently. So in the recent earnings call we simulated, we actually can predict 8 out of 10 questions that are actually asked in this call. Sorry, June. You're saying that analysts almost don't need to be asking their questions. You can predict with 80 % certainty what analysts are going to ask CEOs, CFOs on earnings calls. That's exactly right. In fact, I actually, before our conversation today, I had a chance to simulate the questions that two of you might ask. And these are some of the questions that actually have come up in our simulation.
38:26Oh, so you seem well prepared. Look, there's a degree of skepticism about Simile, to be fair. The founding members, four of you, are largely academics at Stanford. You founded the company officially a year ago, but you've only been training the model for seven months. You say you have five months of commercial deals. How have you done that so quickly? So similar is a real combination of amazing frontier researchers that raises the ceiling of what the models are capable of today, but also amazing product and engineers. So here on the product side, we have people like Lainey Allen and Mika Kapoor who have been product and engineering leader in the space of companies such as Figma and Hebbia.
39:10And that, combined with the rest of the engineering team and the research talent, enables us to create frontier technology that actually gets routed directly to product. June Park, who has preempted all of our questions through his own products of Simile, we so appreciate your time. Thank you very much indeed. Let's just take a look elsewhere in AI model world because Alphabet currently spiking higher up almost a percentage point. This is as they've updated a release to Gemini 3, Gemini 3 deep thinking reasoning model. It's an update. And they say that the mode has been updated to solve modern science research challenges in particular, Ed.
39:47Look, Alphabet has been on a tear because of the idea that its generative AI is managing to leapfrog or at least push ahead some of the rivals. Yeah, it has. And look at the spike in the session on those headlines are coming up. Coinbase releases earnings after the closing bell. We're going to preview what to expect. This is Bloomberg Tech.
40:18Asian delivery firm Grab missed analyst expectations on its full year forecast, a sign that weaker consumer sentiment is weighing on the company. Earlier, we spoke with Grab CFO Peter Uwe. Listen to this. It was an amazing year for us. We achieved some new milestones in the business. We have now 50 million monthly transacting users using our app constantly on a monthly basis. We also showed great profitability in the business to over$500 million in adjusted EBITDA, but also our first year net profit in the business. As we look at 2026, we're firing on all cylinders and we are seeing good growth across all the platforms, across all the different products that we have today.
40:58We are confident going into 2026 in terms of delivering that new guide that we gave out for 2026. But also, we also gave a three-year guidance also at the same time of 20 % revenue growth from 2025 to 2028. So really long-term perspective here. Just dialing in on the profitability side, because you're right, many loving the fact that you surprised you delivered this full year profit. What now to really drive up that return on equity? Are Bloomberg intelligence analysts talking about maybe it's the net profit to really be driven higher needs, even more leaning into the fintech side of the business or some cost cuts?
41:34Where do you pull? Yeah, there's really three big pillars when you look at the business today. One is continuing the growth momentum in our rides business as well as our deliveries business. And our deliveries also now we have other products and services. For example, grocery delivery continues to be one of our fastest growing. It's actually growing 1.7 times faster than our food business today. We also have Dine-In, which is another unique set of product features that brings people to restaurants also at the same time. Financial service is also continues to be our fastest growing segment of our business today.
42:06The loan book size that we have today, we've clipped over a billion dollars in loan portfolio. and we expect to double that as we finish the year 2026. So we've got all the different products working together to really drive that growth in the business, but also margin expansion at the same time. From delivery to fintech, grab CFO Peter Uwe there. Talking of fintech, Coinbase was about to report earnings after the bell and this comes in the context of a deepening crypto route, which has seen the value of Bitcoin in particular plunge, look, more than 45 % from its peak. And with that, expectations of Coinbase's revenue are not looking pretty.
42:39Bloomberg senior crypto reporter Olga Karif joins us now. And it's all about volumes, right? And they're going to pull back. So inherently, revenues must have been hit. Absolutely. So what happens when prices drop continuously, a lot of the retail traders stay on the sidelines. And, of course, crypto exchanges, they make a huge portion of their revenues from transaction fees. So they see a huge drop in that. What I understand, Olga, I get the volumes concerned, but I've always understood that like Coinbase, others that it competes with, they benefit from volatility, right? Because volatility, you have to trade in one direction or another.
43:22Why is that not a good moment for them? So you're absolutely right. When there is high volatility, they do benefit. But typically what happens is that you have, say, several days of very high volatility, such as in sort of in October when Bitcoin dropped a lot or in early February when again it dropped a lot. So you can have a lot of volatility, a lot of trading during those days, but then you can have slower activity, lower activity in the days kind of in between those very high volatility days. And that can impact exchanges. Like, for instance, we've already seen Robinhood report that its fourth quarter crypto revenue was down 38 percent.
44:13So things are not looking good for crypto trading providers. Briefly, Coinbase has tried to diversify ahead of this. They're looking whether or not it's predictions markets, whether or not it's equity trading, Olga. Is that enough?
44:31So Coinbase has been trying to diversify for many years. And these are really good initiatives that could really help in the years ahead. But right now, for instance, they just launched prediction markets. So it's a very, very small revenue driver. They do have stable coin revenue coming from their revenue share with Circle. That is helping to stabilize revenues quite a bit. But a lot of the other revenue portions are still small. Bloomberg's Olga Kri, thank you very much. That does it, Caro, for this edition of Bloomberg Tech. Mike Sar HR
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Bloomberg’s Caroline Hyde and Ed Ludlow discuss memory chip prices taking a toll on Cisco's stock even as AI demand surges. Plus, Apple's revamp of its Siri voice assistant hits new snags that could delay the release of some features. And Altruist CEO Jason Wenk discusses the startup's AI tax-planning tool that sent wealth management stocks tumbling, hours after its launch.
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