The AI Daily Brief: Artificial Intelligence News and Analysis - Are Markets Still Worried About an AI Bubble?

Starting point is 00:00:01 Today on the AI Daily Brief, as meta and Microsoft report earnings, are markets still worried about an AI bubble? Before that, in the headlines, SoftBank appears ready to double down on OpenAI with another $30 billion investment. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends, quick announcements before we dive in. First of all, thank you to today's sponsor, ZenCoder, Rackspace, robots and pencils, and super-intelligent. To get an ad-free version of the show, go to Patreon.com. AI Daily Brief, or you can subscribe on Apple Podcasts. If you are interested in sponsoring the show, send us a note at sponsors at

Starting point is 00:00:39 AIDdailybrief.aI. Now, one more thing that you can find at AIDilybrief.A.I., we have a new thing we're doing, which is in conjunction with AIDB Intel, which is a monthly pulse survey to figure out how people are using AI and how it's changing. You can find a link on the main AIDilydief.A.I.com website, and it's a short survey that should take much less than five minutes. It basically asks things like, which AI models did you use this month? Which AI model did you use? the most? What was your most important use case? All in a very easy checkbox multiple choice style format.

Starting point is 00:01:08 It's part of our larger goal of helping people have up-to-date actual data about what's going on with AI, and I would so appreciate it if you would take a couple minutes to fill it out. Anyone who contributes will get first access to the results at least a week before they are available for general consumption. And again, you can find everything about that at AIDailybrief.aI. Welcome back to the AI Daily Brief Headlines edition, all the daily AI news you need in around five minutes. What's $30 billion between friends, right? Mazasun is in for another $30 billion as SoftBank appears to double down on OpenAI.

Starting point is 00:01:37 The Wall Street Journal reports that SoftBank is in talks to invest another crisp $30 billion into OpenAI's next monster fundraising round. Now, SoftBank is already one of OpenAI's largest shareholders, with a roughly 11% stake after investing $30 billion last year. That funding seemed to stretch SoftBank's pockets, with the firm selling off Invidia stock and taking loans against their AMD holdings to make it work. While rumors have been sparse, reporting from December suggested that OpenAI is targeting getting $100 billion in fundraising this year. The valuation is said to be $830 billion,

Starting point is 00:02:07 which is another 66% jump from the $500 billion valuation struck in October. Frankly, it looks like they're well on their way, with separate reports suggesting that Nvidia, Microsoft, and Amazon are looking to participate to the tune of $60 billion between them. Now, in my 2026 predictions, I debated a bunch, but I ultimately came to the base case that I didn't think that Anthropic or Open AI would actually go public in 26, with the reason being that A, public markets are kind of a pain in the butt, and B, I thought that there was just going to be enough funding for them in private markets that they weren't going to be forced to go public. Now, the capital needs are extreme here, and so maybe they just have

Starting point is 00:02:39 to take advantage of every option they have, including IPO, but with OpenAI well on their way to that $100 billion round, they certainly are going to have their options. Moving over to OpenAI competitor Anthropic, Service now has signed another big AI deal, this time with Anthropic, partnering with the lab along multiple angles. The multi-year-year-year-old. deal includes making Claude the default model across ServiceNow's platform. Claude will also drive their agent builder, which allows users to create custom workflows and vibe code apps. In addition, Claude access is being rolled out to all 29,000 ServiceNow employees, including

Starting point is 00:03:10 Claude code for the engineering team. ServiceNow CEO Bill McDermott said in a press release, Service Now with Anthropic is turning intelligence into action through AI-native workflows for the world's largest enterprises. Together, we are proving that deeply integrated platforms with an open ecosystem are how the future is built. Now, details of the deal weren't released, so we don't know the length or monetary value. But the deal comes just a week after ServiceNow extended their other big deal with OpenAI, suggesting that they want to make sure that customers have access to AI from both companies. ServiceNow president, Amit Zavory said, we don't view these partnerships as competitive or mutually exclusive.

Starting point is 00:03:44 Enterprise customers want model choice. They want the right model for the right job, keeping governance security and auditability consistency on the ServiceNow AI platform. Each model brings different strengths, and our role is to orchestrate that. in ways that deliver the best outcomes for customers. And as much as that sounds like corporate speak, the reality is that one of the great frustrations for enterprise AI users is model lock-in, so to the extent that they can work with partners like ServiceNow, where they have access to multiple models for many people that's going to be desirable.

Starting point is 00:04:11 Staying in the Anthropic world for a minute, Claude Co-Work has apparently raised the alarm at Microsoft. The information reports that the release of Anthropics' new productivity platform triggered emergency meetings. Product leaders at Microsoft told colleagues that Co-Works seemed like a competitor for 365 copilot. They noted that co-work seems more capable than copilot when working on Excel spreadsheets or PowerPoint slides. Staff were told to keep improving co-pilot, and that seems to be exactly what's happened over the past two weeks. Sources said that multiple divisions at Microsoft

Starting point is 00:04:39 are working on prototypes that mimic the functionality of co-work, and they noted that Claude, which Microsoft now has access to, is powering many of these prototypes. Now, obviously, Microsoft's relationship with OpenAI has been changing. But in many ways since the release of ChatGBT, parity with OpenAI. Now it's pretty clear that keeping up with Anthropic has become their major concern. The reporting also noted a tension between Anthropics' ability to move with startup speed, i.e. they built Claude Co-Work in 10 days as compared to Microsoft's status as a lumbering tech behemoth. In addition to the speed of execution, there's also differences in what the companies can put out. Sources noted that Co-Work is only available as a research preview, and that Anthropic

Starting point is 00:05:18 has warned users that it carries massive inherent security risks, which is all well and good for Anthropic, but Microsoft wouldn't be able to release a version of copilot that carries that same level of risk. Still, it sounds like all hands on deck at Microsoft to keep up in the race. Executives and product leaders are reportedly discussing possible new features in a team's channel called AI Accelerator. CEO Sotia Nadella was even reportedly dabbling with Claudebot, now called Moldbot, over recent days. Nadella encouraged staff to also test the automation tool and figure out how its features could be applied to co-pilot. The information writes, The conversations are part of Nadella's effort to put pressure deputies to speed up the company's use of AI in its

Starting point is 00:05:52 products, and they resemble how other AI developers, including Google and OpenAI, have reacted with urgency to competitive products in the fast-paced field. He has sounded alarms about the urgency of the situation despite his company's position of strength as the world's fourth most valuable firm. Nadella reportedly now has a standing weekly meeting where staff can demo new features from competing labs. Sources said that many of these meetings have featured Claude Code driven by Opus 4.5, and they mentioned that the release of co-work has ramped up the urgency of the meetings in recent weeks. At this stage, the reporting doesn't include the term code red, but you have to think we're not far from an all-out response from Microsoft.

Starting point is 00:06:26 Twitter was, of course, ablaze with jokes. Kyle Russell wrote, Microsoft Office? Oh, you mean the Claude Rapper. Meanwhile, a couple of weeks ago, even before this, Gavin Baker said, Claude Co-Work is what co-pilot should have been. Evidently built in 10 days with Claude while Microsoft has been working on co-pilot for years. Although I have to say, one really insightful comment in response to Gavin came from Replet CEO, Amjad Masad, who said, To make a bit of an excuse for Microsoft, the world is just waking up to

Starting point is 00:06:52 the fact that coding agents are general agents. It's bitter lesson adjacent. Writing and executing code will likely outperform years of handcrafting vertical-specific agents with expert knowledge. Actually, it might not exactly map in bitter lesson. Program synthesis is a form of scalable search. Given the debates I've been having with you guys around my thesis that code AGI is functional AGI, I thought that was an interesting comment. Moving over to Google's side of the house, Google is getting in the AI browser game with a big agentic upgrade for Chrome. Google first added Gemini to Chrome in September. but that iteration kept the AI sandboxed in its own window.

Starting point is 00:07:26 With this update, Gemini will be able to use OpenTabs as context and function as a web agent. That feature set is, of course, similar to agendic browsers from OpenAI, perplexity in the browser company, which were all released last year. Google is even borrowing the U.X, placing Gemini in a sidebar for split-screen agentic browsing. One interesting quality of life feature that Google showed off was Gemini's ability to understand multiple tabs from the same website as a context group. For example, if you're shopping multiple items against each other, Gemini will understand that context when giving advice. Gemini and Chrome also leverages Google's

Starting point is 00:07:55 recently released personal intelligence feature, allowing the agent to draw context from your Gmail, search history, and photos. The feature will initially be limited to pro and ultra subscribers, so this isn't the free web agent that takes the technology mainstream. Still, Google is shipping quickly and making a lot of progress with these functional consumer agents. Lastly today, another one that harkens back to one of the discussions in my 2026 predictions, Tesla has made a $2 billion investment into XAI in defiance of a shareholder vote. Elon Musk has been toying with the idea of cross-investment between his two companies over the past year. The matter went to a shareholder vote in November, with over a billion votes in favor and

Starting point is 00:08:30 916 million against. A significant number of shareholders abstained from voting, which counts as a vote against under Tesla's bylaws, meaning the vote technically failed. However, it seems that near enough was good enough for Musk. Tesla disclosed in a shareholders letter on Wednesday that they made a $2 billion investment in XAI's recent fundraising round. And the investment is apparently all part of the plan, with Tesla writing, as set forth in Master Plan Part 4, Tesla is building products and services that bring AI into the physical world. Meanwhile, XAI is developing leading digital AI products and services such as its LLM, GROC. In that context, and as part of Tesla's broader strategy under Master Plan Part 4, Tesla and XAI also entered into a framework agreement in connection

Starting point is 00:09:08 with the investment. Now, Tesla has already collaborated with XAI by providing them batteries for power redundancy at their data centers, and XAI has also provided GROC in some Tesla vehicles, and there's plans to use XAI models to power the Optimus robots. In the shareholders letter, Musk wrote, if there are things XAI can help accelerate our progress, then why should we not do that? And that is the reason why we've gone ahead with such an investment, because this is part of the strategic initiative. Now, the investment comes as Tesla hits a pretty rough patch. During their Wednesday night earnings call, Tesla disclosed a 61% drop in profits year over year. They announced that the Model 3 and Model X will be discontinued, with the production line repurpose

Starting point is 00:09:44 for Optimus robots. Musk told investors on the call, this year for Tesla is the first major steps as we increase vehicle autonomy and begin to produce Optimus robots at scale. We're making very, very big investments. So this is going to be a very big Kappex here. That is deliberate because we're making big investments for an epic future. Back in July of last year, Zero XMO on Twitter wrote, Tesla will acquire XAI. There's no way around it.

Starting point is 00:10:07 Grock will be the brain for Optimus, so you can't have the brain in the bottom. body made by different teams. It doesn't get you the best product and it's not Elon style. I give it around 12 months. Reflecting on the recent news, the same account wrote, Tesla is investing in XAI and collaborating even closer. It's happening. Now that is going to do it for our headlines, but for the rest of today, we are going to stay on public market themes. Moving now to ask, are markets still worried about an AI bubble? All right, friends, quick break to talk about a question I hear constantly. How do you actually move from AI experimentation to production without getting buried in infrastructure decisions.

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Starting point is 00:13:46 but in a much more automated, self-managed way and with a totally different cost structure. If you are interested in checking it out, go to AIDailybrief.ai slash compass, fill out the form and we will be in touch soon. Welcome back to the AI Daily Brief. For basically the last quarter of last year, one of the big topics of conversation around AI was whether we were in a bubble. Now, we've talked extensively on this show about why it's important to separate the market conversation about whether we are in a bubble in terms of things like valuation and capitalization for AI companies from whether it's actually significant and meaningful technology that you need

Starting point is 00:14:22 to be paying attention to, and yet still these things are not disconnected. There will, for example, be impacts to the speed at which new better AI comes to market if additional capital and financing for companies is no longer available. Now, so far in 2026, markets frankly just haven't had all that much time. to worry about AI. Between Venezuela and Greenland and domestic unrest and future government shutdowns, let's just say that the risk-off dance card has been a little full. Yet, of course, this question about an AI bubble has never really gone away. In fact, part of what makes it such a potent conversation, is that it is ultimately a debate. There is no way, at least in the short term of knowing who is right

Starting point is 00:14:59 and who is wrong, there is only the loudness with which either side can present evidence. Now, with all that as background, we got some of our first chance to see where markets are in a renewed version of that conversation as we got meta and Microsoft earnings. Bloomberg host Caroline Hyde summed it up this way. Meta wins Microsoft loses when it comes to after-hours market reaction to earnings. Both beat on earnings and revenue. Both yanked up CAPEX. Both talked up the positive impact of AI spending. But investors found it hard to see the Cappex rewards for Microsoft given the slight slowdown in Azure growth rate versus the previous quarter. Zuckerberg and team did a better job at highlighting the strength of its AI investments are already bestowing on its recommendation system, its video impressions,

Starting point is 00:15:37 and therefore its ad success, and 25% revenue growth. Zuckerberg also spoke excitedly about the coming year in terms of LLM improvements, meaning current systems are primitive compared to what will be possible soon. That's his quote. So that kicks us off with the high level, but let's slide in and go a little bit deeper. The theme of META's earnings call was full steam ahead on AI regardless of costs. Mark Zuckerberg painted a bold vision of what the next few years of META's AI product would look like. Now seen as one of the early, if not only, winners in AI wearables,

Starting point is 00:16:05 Zuckerberg is doubling down on making meta raybans the default options for portable AI. He told investors, billions of people wear glasses or contacts for vision correction. And I think that we're at a moment similar to when smartphones arrived. And it was clearly only a matter of time until all those flip phones became smartphones. It's hard to imagine a world in several years, where most glasses that people wear aren't AI glasses. And while one could be forgiven for being a little bit concerned about hyperbole there,

Starting point is 00:16:31 frankly, meta's numbers sort of validate that vision. sales have tripled over the past year, which Zuckerberg characterized as some of the fastest growing consumer electronics in history. Now, when it comes to AI models, meta has so far failed to make contact with the consumer, but it's clear they hope to turn that around with their next generation. Zuckerberg basically characterized 2025 as a rebuilding year, and although he didn't make this comparison, Google's turnaround on AI of a couple years ago to now has to be on the forefront of investors' minds. Said Zuckerberg, in 2025, we rebuilt the foundations of our AI program. Over the coming months, we're going to start shipping our new models and products,

Starting point is 00:17:07 and I expect us to steadily push the frontier over the course of the new year. Unlike some of the other AI companies, for Zuckerberg, commerce is the clear focus. He talked, for example, about new agentic shopping tools that will allow people to find just the right set of products from the businesses in our catalog. Meta also aims to catch up on agents, which are, of course, dominating the enfranchised insider conversation as new products like Claudebot demonstrate just how far the technology can go. Zuckerberg said, we're starting to see the promise. of AI that understands our personal context, including our history, our interests, our content,

Starting point is 00:17:38 and our relationships. A lot of what makes agents valuable is the unique context that they can see, and we believe that meta will be able to provide a uniquely personal experience. Now, on top of all that chatter, the actual earnings were incredibly strong, giving Meta a solid base to pursue these bets. Meta delivered a year-over-year growth rate of 24%, which blew analyst estimates out of the water. And yet at the same time, the number that got the most attention was, of a massive increase in CAPEX guidance. Meta said that they plan to increase spending on data centers to as much as $135 billion this year, around 20% higher than the median analyst forecast and almost double what they spent last year. They also announced a 40% rise in expenses, reflecting their huge

Starting point is 00:18:21 salary commitments to their new AI research team. Now, Meta is generating around $60 billion in quarterly revenue at the moment, so these spending goals suggest reliance on debt funding. Still, Zuckerberg has said that the aim is to front load CAPX and build as fast as possible to get back in the AI race. Rounding out his statement, Zuckerberg told investors, this is going to be a big year for delivering personal superintelligence, accelerating our business, building infrastructure for the future, and shaping how our company will work going forward. Now, some had big critiques of met as apparent lack of a plan. One analyst asked Zuckerberg to sketch out his three, five, or ten year plan for delivering ROI on all of the AI spending, and Zuckerberg kind of sidesteped the question.

Starting point is 00:18:59 He responded, I have to say up front that I think my answers to a lot of your questions on this particular call may be somewhat unfulfilling because we're in this interesting period where we've been rebuilding our AI effort. We're six months into that and I'm happy with how it's going. But we are going to be rolling out our initial set of models and products and businesses around that and I'll have a lot more to share on all those fronts at that point. He added, not much of this is going to be particularly detailed, but it will be exciting as we roll it out. Others honed in on meta's new focus on debt financing. Kukashion X wrote, Zuck has finished almost all of META's cash. Without the issuance of $30 billion in debt,

Starting point is 00:19:31 Metas cash, cash equivalence, and restricted cash equivalents would be less than $10 billion by the end of 2025. Prominent finance commenter Michael Green said the risk embedded here is astonishing. And yet, ultimately, it seemed that investors liked what they heard, with meta shares rising 8% in after hours trading overnight. The story from Microsoft earnings call was something of the inverse, where the perception was that too much caution had led them to miss out on AI opportunities.

Starting point is 00:19:55 The headline figure, as we heard from Caroline at the beginning, was a continued drop in cloud growth. One could be forgiven for thinking that this slowdown doesn't seem to actually be that large of a problem. Azure revenues are still growing at a 38% pace, and the slowdown was only a single percentage point compared to the prior quarter. Azure is also a much larger division than it was a year ago, making hypergrowth more difficult to maintain. Still, we are in the middle of an AI infrastructure boom, and to some, it seems like Microsoft is failing to take part to the fullest extent. Caution has come to define Microsoft's strategy over the past year. Last February, for example, there was a massive news cycle around Microsoft canceling numerous data center projects. CFO, Amy Hood, insisted that this was largely about forecasted softness

Starting point is 00:20:34 and demand, and Microsoft didn't want to be left holding useless data centers if demand dropped off, given the long lead times to complete construction and power-up GPUs. Compare that sort of framing to Zuckerberg, who has basically relentlessly said that the risk of overspending by hundreds of billions on infrastructure is dramatically less than the risk of underspending. In any case, when it comes to Microsoft, they're now faced with a different problem. They disclose that their cloud sales backlog has more than doubled from a year ago to reach 625 billion. Much of that growth came from a new $250 billion commitment from OpenAI. In total, OpenAI now accounts for 45% of Microsoft's backlog. And so whereas meta-stock jumped 8%

Starting point is 00:21:12 overnight, Microsoft stock fell by about 5% in after-hours trading. And indeed, going back to the theme of this episode, Bloomberg suggested this was fears of the AI bubble popping manifesting in the market. Yet to me, that doesn't really carry water. It seems more like Microsoft is being punished for failing to grow as fast as possible during this boom period. They have over a trillion dollars worth of sales waiting in their backlog and slowing cloud growth. Rather than powering up GPUs then, Microsoft chose to miss out on sales. To the extent that there are bubble fears, they're almost entirely about OpenAI's ability to make good on their commitments. Jeffrey's analyst Brent Phil said, the backlog is really good, but the disclosure that OpenAI is 45% of their backlog,

Starting point is 00:21:50 it goes back to the situation where can OpenAI achieve these financial goals to pay Oracle Microsoft and many of the providers? Now, Microsoft does appear to be correcting their underbuilding issue if ever so slightly. CapEx for the quarter came in at 37.5 billion, up 66% from a year ago and slightly above analyst expectations. They didn't adjust CAPX guidance

Starting point is 00:22:10 so it seems they won't be attempting to catch up in a major way. Of course, for investors, it's not as simple as just spending more on CAPEX. Microsoft also disclosed an operating margin of 45.1%. falling short of the 45.5% consensus forecast. Not a huge miss, but spending more money on CapEx Now will make operating margins worse in the short term due to the construction lag. Overall, CEO Satya Nadella doesn't seem too bothered by the state of play and is happy to play the long game. He told investors, we are only at the beginning phases of AI diffusion, and already Microsoft has built an AI business that is larger than some of our biggest franchises.

Starting point is 00:22:43 We are pushing the frontier across our entire AI stack to drive new value for our customers and partners. He reiterated those themes in a thread on X, actually spending a bunch of time on agents. Nadella wrote, like in every platform shift, all software is being rewritten. A new app platform is born. You can think of agents as the new apps. We're providing everything customers need to build their own agents, including model catalogs, harnesses for orchestration, context engineering, plus AI safety and observability. Bottom line, he says, our Tam will grow substantially across every layer of the tech stack as this diffusion accelerates and spreads, and we feel very good about how we're delivering for our customers today and innovating to capture the opportunity ahead.

Starting point is 00:23:20 My honest read here is that as much as some commentators are trying to make this just about CAPEX spending, it's more about A, conversion on AI, and B, perception of strength in the AI race. Zuckerberg advised a way bigger CAPEX jump than Microsoft did and got rewarded by traders. That means that this can't be about CAPEX alone. But as we heard, the story with meta was a big increase in the ad business, i.e. a conversion on AI spend, and tailwinds in the A. AI race because while their models haven't kept up with others, they do have a thing that they are the undisputed leader of in this AI race, which is, of course, the Raybans and AI wearables.

Starting point is 00:23:56 Compare that with the theme explored by Bloomberg columnist Dave Lee, in his piece published on Thursday morning called Microsoft has lost its AI sparkle. Dave writes, who could forget those heady days when Microsoft chief executive officer Sachi Nadella looked like the smartest man in tech? When ChatGPT emerged in late 2022, his decision to back Open AI put Nadella's company at the forefront of the AI boom. More recently, the relationship has cooled and with it the perceived value of Nadellas foresight. Microsoft is now invested in Anthropic and look to incorporate its capabilities into its products.

Starting point is 00:24:25 An open AI, hungry for computing power, has turned to Oracle, Google, and Amazon. All of this AI polyamory has put Microsoft's eggs in a few more baskets, but it has also highlighted that Microsoft's early mover advantage has run its course. The AI Sparkle that illuminated the market value that more than doubled has diminished. The thorny issue of ROI is stocking all the top AI players, but the pressure has mounted on Adela because of the shifting narrative of the AI industry. The AI story of 26 so far is one that says Google, with its Gemini model, is crushing it with consumer use cases and benefiting from the availability and lower cost of its own chips. At the same

Starting point is 00:24:59 time, Anthropics' coding capabilities are at the leading edge of redefining software engineering. Whatever the reason, with its huge base of enterprise users and ownership of the coding mega platform GitHub, Microsoft stands accused of letting its advantages dwindle. Now, Dave does end on a positive note, reminding us all that Microsoft's critics today were Google's critics yesterday, but pointing out that Microsoft has to do something to shift the narrative back in its favor. Now, one more market story to really round things out and let us know where we stand. We also got earnings reports from South Korean memory giants, Samsung, and SK Highings. If you've been keeping an eye on RAM prices recently, you probably already know how

Starting point is 00:25:32 this went. Samsung reported that profits had doubled from this time last year, reaching 13.7 billion. This was a 61% increase from the previous quarter, vastly outpaced already lofty analyst estimates, Stripping out just the memory division, profits were up fivefold year over year. Samsung said that they would, quote, proactively address market demand by focusing on high value-added products. In other words, they will prioritize high bandwidth memory for AI chips and make as much money as they possibly can. The story was similar for S.K. Heinex,

Starting point is 00:25:59 who doubled operating profit to $13.5 billion. Again, a massive beat on estimates. Numerous comments from analysts noted that the current memory shortage isn't likely to see relief anytime soon. Richard Claude of Janice Henderson said, there are no easy wins and levers from a supply perspective to meet this new demand driver. Compared to consumer electronics companies, he added, hyperscalers and AI customers are looking at what they are willing to pay for memory

Starting point is 00:26:21 through a very different lens. Now, both memory companies are keeping CAPX relatively restrained. Samsung reported that their CAPX had actually declined slightly in 2025, commenting that they are maintaining a conservative investment approach. They did state they expect to ramp up investments this year but declined to give full guidance. S.K. held their guidance steady at around 30% of revenue. However, increase in revenue means they'll be spending quite a bit more, but they don't seem to be looking to stand up extra capacity in any great hurry and risk over building.

Starting point is 00:26:48 Citigroup analysts expect the cost of DRAM to rise by 120% this year and NAN chips to increase by 90%, so no one is expecting the shortage to be rectified in the short term. Remarking on the nature of tech spending in this cycle, Sanjeev Rana, the head of research at CLSA Securities Korea commented, the companies are spending real money on real stuff. We're in uncharted territory in terms of valuations, share prices, the demand cycle, everything is unprecedented. Overall, from this first glance at what the bubble narrative might be in

Starting point is 00:27:15 2006, it feels like the big takeaway from this early round of tech earnings is that there is still pretty much a full-on gold rush in AI. Yes, bubble fears are present. And yes, we're seeing how markets are going to want to see translation of AI spending into something resembling increased growth, either in cloud business or in ad sales when it comes to meta. But the market seems to be rewarding firms not only for taking part in the boom, but for where their place in the narrative is.

Starting point is 00:27:42 So that's the story from here, and that's going to do it for today's AI Daily Brief. Appreciate you listening or watching, as always, and until next time, peace.

The AI Daily Brief: Artificial Intelligence News and Analysis - Are Markets Still Worried About an AI Bubble?

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