In short
The AI Daily Brief: Episode Summary
Episode Title
Why OpenAI’s $1 Trillion IPO Can’t Come Soon Enough
Episode Overview This episode discusses OpenAI's potential Initial Public Offering (IPO), projected to be one of the largest in history, alongside analysis of recent developments in the AI industry. Key topics include OpenAI’s IPO plans, Universal Music's AI music settlement, and updates from Character AI and NVIDIA.
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Key Discussions
OpenAI's Anticipated IPO
- IPO Potential: OpenAI is considering an IPO that could raise at least $60 billion, potentially occurring as early as late 2026.
- Market Implications:
- The IPO could signify a shift in access to AI wealth, allowing everyday investors to participate.
- OpenAI's capital needs are expanding beyond private markets, suggesting the urgency to go public.
- An IPO would establish OpenAI as one of the largest companies in history, comparing its size to that of Saudi Aramco.
Universal Music's AI Music Settlement
- Settlement Details:
- Universal Music settled a lawsuit with UDO, establishing the first AI music licensing system.
- The agreement allows users to create music based on licensed songs, incorporating remixes and custom tracks.
- Artists will be compensated for their music's use, but user backlash is noted, particularly around restrictions on downloading creations.
- Market Impact:
- The settlement could create a new market for fan engagement through AI, although concerns exist about limiting creative freedom.
Character AI's Changes for User Safety
- User Restrictions: Character AI will ban users under 18, with plans for a new experience tailored specifically for this demographic.
- Regulatory Response: The decision was influenced by lawsuits and government scrutiny regarding child safety in AI interactions.
Harvey's Valuation and AI Developments
- Funding News: Legal AI startup Harvey has raised $150 million at an $8 billion valuation.
- Product Focus: Harvey's expansion and revenue growth raise questions about its comparison to ChatGPT amidst ongoing industry discussions.
NVIDIA's Growth and Industry Position
- Record Milestone: NVIDIA became the first company to reach a $5 trillion market cap, fueled by a significant backlog of orders for AI chips.
- Future Outlook: The company’s CEO, Jensen Huang, emphasized the ongoing demand for AI solutions, dismissing concerns about an AI bubble.
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Key Takeaways
- OpenAI's IPO: The move towards becoming a publicly traded company is seen as essential for accessing necessary capital, with broader implications for the AI industry and retail investors.
- AI Music Licensing: The settlement with Universal Music could redefine how music is created and consumed with AI, although it raises ethical concerns regarding user freedom and content ownership.
- Child Safety in AI: The shift by Character AI signals a growing trend for companies to prioritize user safety in response to regulatory pressures.
- Investment Opportunities: The episode captures a moment of transformation in the AI sector where public listings could democratize investment opportunities in a rapidly evolving industry.
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Additional Industry Updates
- Cursor 2.0: Launch of a new coding model designed for speed and efficiency, indicating a trend towards more advanced AI tools in software development.
- Hyperscaler Earnings: A review of earnings from major tech firms revealed varied investor reactions based on performance and capital expenditure strategies.
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Conclusion The episode of The AI Daily Brief highlights significant trends and transformative developments in the AI landscape, focusing on OpenAI's forthcoming IPO as a key marker of industry growth and evolving interactions with technology. The discussions reflect a crucial intersection of finance, technology, and regulatory considerations in shaping the future of AI.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Today on the AI Daily Brief, as their for-profit conversion closes, OpenAI looks forward to an eventual massive IPO. Before that in the headlines, a big settlement between Universal Music and UDO, but is it good for AI music in general? The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
0:23Hello friends. Quick announcements before we dive in. First of all, thank you to today's sponsors, Blitzy, Robots & Pencils, Area, and Assembly. To get an ad-free version of the show, go to patreon.com slash ai daily brief or subscribe on Apple podcasts. And then for all the information about anything surrounding the show, be it sponsorship opportunities, trying to get me to speak somewhere, job opportunities that we have, including one that I am very much looking for around growth, go to ai daily brief dot AI. And while you're there, please take just a minute to do our AI benchmarking survey.
0:55The idea is to figure out which use cases drive the most value and what specific value they drive, and we're going to turn that into massive shared public information that should help everyone be better able to figure out ROI norms and expectations heading into the year. You can add just one use case, you can add 10. And one thing I'm thinking about as we've now seen hundreds of these use cases come in is potentially including some case studies from this group on the show. So if that's something you're interested in, fill out the survey, then shoot me a note. I'd love to potentially talk about it.
1:25With that though, let's dive into this interesting markety episode of the AI Daily Brief. Welcome back to the AI Daily Brief Headlines Edition, all the daily AI news you need in around five minutes. We kick off today with a bit of a follow-up from our show recently about AI music. One of the things we talked about on that show was that it seemed like the record companies were getting closer to settlements, which had the potential to clear out one of the major overhangs for that sector. Late on Wednesday night, news broke that Universal Music had settled their lawsuit with UDO, setting up the first AI music licensing system.
1:55Under the agreement, UDO will set up a new subscription service next year that allows users to create music based on licensed songs. This will include remixes and customized tracks, but we don't have any further details on how exactly the feature will work. Artists will be paid for the use of their music and training data, and will also receive a royalty when their songs are used on the platform to create outputs. Full financial details of the settlement were not disclosed. Michael Nash, Universal's chief digital officer, said, This product is all about allowing fans to utilize AI to have this deep level of engagement.
2:24UDO CEO Andrew Sanchez said the new platform will include a social element allowing users to share their creations. However, he suggested the creations will be locked into the UDO platform and not able to be shared more broadly, commenting, We're talking about songs that are famous potentially or artists that have recognizable careers and voices. We want to be able to control that environment really well. UDO's existing platform will continue to be available until the new product launch, but downloads will be disabled immediately, keeping all content locked to the platform. Notably, the settlement is only between Universal and UDO.
2:55Sony Music and Warner Music are also parties to the lawsuit, while Suno is another defendant. Court filings were being exchanged as of this week, so the litigation is still ongoing. In an interview with Billboard after the settlement was announced, UDO CEO Andrew Sanchez discussed the concept of the new platform. We're breaking new ground on a market that combines new forms of AI and artist interaction, creation, and consumption. We're making a new market here which we think is an enormous one. I think that we're already incredibly differentiated just today just by saying all of this. While it's never a good idea to assume too much based on the initial reaction from users, when there's a big change, the response has not been positive.
3:30Ism writes,
3:41Savitar Storm writes, I just found out that I can't download my own music that I create in Udeo. It's unfortunate because I often use Udeo as a reference for working on instrumental compositions for my own videos. And my samples that I've been working on with Udeo are there too. It's really sad, but it looks like this is the end for Udeo. Well, I'm going back to FL Studio and will continue making music by hand. I think the thing to note here is a couple things. First, anyone who has watched the record industry's engagement with technology over the last 25 years had to 100 % assume that this is the type of outcome that they would be driving for.
4:14Basically, open up a new market using AI for their artists to expand fan engagement with the core content. I don't think that that's an uninteresting product. It could be that there are a lot of people who have a ton of fun with that. It could be a very expansionary market. It could be exactly the type of thing, in other words, that demonstrates how AI is additive, not subtractive. But at the same time, make no mistake that it is not the same as the breakout creative consumer experience that we were talking about the other day with Suno. Being able to remix Taylor Swift is not the same as being able to generate a song with your kids' names in it.
4:48It is just in every way a fundamentally different thing. Now, I think there might be room for both. The question is just whether the last player standing, Suno, can find a way to thread the legal needle here. If I had to make a prediction, it would be that the labels effectively split these two companies into two buckets, one to do the artist remix thing, one to do this more broad generation thing. And the announcement that we'll get is with all of them taking a fat chunk of Suno and having it be just another revenue line, as they did with companies like Spotify. Next up, Character AI will ban users under 18 in a sweeping change to address concerns over child safety.
5:24The change will go into effect in late November, but in the interim, Character AI will identify which users are underage and put a two-hour time limit on their sessions that will decrease over the next month. Instead of open-ended conversations, teens will be able to create videos, stories, and streams with characters within a new purpose-built experience for underage users. Character AI will use age detection technology to enforce the policy rather than requiring users to upload their ID. Character AI's CEO, Karandeep Anand, said, We're making a very bold step to say for teen users, chatbots are not the way for entertainment, but there are much better ways to serve them.
5:57Now, media coverage identified that Character AI basically had no choice but to change their operations in the face of multiple lawsuits and scrutiny in Congress. Earlier this week, Senator Josh Hawley introduced a bill that would ban AI companies from providing AI companions to minors and force chatbots to remind the user that they're not human periodically throughout chat sessions. Character AI said that they were making these changes as a direct result of feedback from regulators, safety experts, and parents. Now, by all accounts, Character AI has a substantial teen user base, so this is a massive change for the platform.
6:27Writing to those users, the company said, We are deeply sorry that we have to eliminate a key feature of our platform. Many of you have told us over time how important the characters and stories you've created are to you. They continued, We do not take this step of removing open-ended character chat lightly, But we do think that it's the right thing to do, given the questions that have been raised about how teens do and should interact with this new technology. A little bit of fundraising news. Legal AI startup Harvey has raised a new round at an$8 billion valuation. Sources say that the Andreessen Horowitz-led deal brought in$150 million in fresh capital.
6:58Now, Harvey's valuation keeps ramping up this year with no signs of slowing. They raised at$3 billion in February, followed quickly by a$5 billion round in June. Revenue is also escalating, with Harvey reaching the milestone of$100 million in ARR in August. Now, one interesting note is that if you thought the ChatGPT rapper critique days were past you, something about Harvey continues to inspire conversation around how it's quote-unquote just a ChatGPT rapper. Fast Company, for example, just this week published a big piece with the subtitle asking, is it really any better than ChatGPT? Now, I think broadly speaking that we're sort of heading into a product era of AI, which is a concept that I'm going to explore more.
7:33So I'm keeping an eye on this particular conversation. Finally, let's round out with some new feature launches. Cursor has announced Cursor 2.0 and debuted Composer, which is their first proprietary coding model. The model is optimized for speed, with Cursor claiming it completes most interactions in less than 30 seconds while maintaining strong reasoning capabilities across large codebases. They claim the model was four times faster than current Frontier models. It's also trained for agentic workflows, supporting the ability to code autonomously through planning, programming, and testing phases.
8:03In addition to the new model, Cursor has overhauled the interface to allow for multiple agents to be run in parallel. The interface is also designed to make it easier to run the same prompt against multiple different models and take the best result. A built-in browser has been added for simple unit testing. And finally, the platform adds voice mode to enable speech-to-code functionality. Interestingly, Cognition and Windsurf have also announced their new coding model, SWE 1.5. Like Cursor's model, speed is once again the focus. Cognition partnered with Cerebrus to serve the model at 950 tokens per second, which is six times the pace of Claude Haiku 4.5 and 13 times faster than Sonnet 4.5.
8:36On the SWI Bench Pro benchmark, SWI 1.5 slots in between those two models, making it close to the state-of-the-art in performance. Cognition's Andrew Gao writes, don't write this off as fast non-frontier lab model equals dumb and not worth my time. It's smarter than the Soda models were this summer and also way faster. Now, if it's interesting to you that the agent labs are becoming model labs, I talk a bunch more about this with Swix from Latent Space, who also, by the way, recently joined Cognition in a show that'll come out next week. But for that, we're going to have to wait a couple days because today that's going to do it for the headlines.
9:08Next up, the main episode.
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12:33Welcome back to the AI Daily Brief. Today we are talking all about AI in markets. We have the Fed chair talking about it, we're in the middle of earnings season, and all of that is, of course, contributing to more AI bubble talk, And late last night, we got the news that hot on the heels of their for-profit conversion, OpenAI is starting to prepare for a trillion-dollar IPO, which would make it one of the largest IPOs of all time. The news came on Wednesday evening and was broken by Reuters, citing three sources familiar with the matter. Reuters reported that OpenAI was considering filing the relevant paperwork either in the second half of next year or, more likely at this point, in early 2027.
13:08The sources said that preliminary discussions had the company raising at least$60 billion and likely much more. Those sources caution that these are very early-stage talks, so the numbers and timing could change based on the company's growth in the market. An official spokesperson downplayed the news but didn't deny it. An IPO is not our focus, so we could not possibly have set a date. We are building a durable business and advancing our mission so everyone benefits from AGI. In my strong estimation, based on the reading of these reports, I think it's quite clear that OpenAI knows that they need to go public to access that capital pool not just for themselves, but for this increasingly dense network of deals around them.
13:44Indeed, as we think about takeaways from this news, one of them is that this was completely inevitable given how fast the company has been exhausting potential sources of capital. At the end of last year, their raises were starting to tap out of the venture ecosystem, leading Sam Altman to go look farther afield to wealth funds in the Middle East. This year, their major deal was with SoftBank, and that$30 billion raise seemed to stretch Masa's son to his absolute limit. OpenAI expects to burn$8.5 billion this year, and that doesn't seem to include a lot of their infrastructure capex. The company will likely need to burn through all of the$40 billion they raised this year to fund operations and their ambitious infrastructure build-out.
14:18They'll almost certainly be able to raise more money in the private markets to get them through next year, but if they need to start raising money in$50 or$60 billion chunks, then the public markets are the only way to access that kind of capital. Semelman even acknowledged this during the live stream about the for-profit conversion on Tuesday, stating, I think it's fair to say it is the most likely path for us given the capital needs that will have. Now, this is not going to be a normal IPO by any stretch of the imagination. There are currently 11 companies in the entire world worth a trillion dollars or more.
14:46Berkshire Hathaway makes the cut, but JPMorgan Chase, Walmart, and Tencent are all below the threshold. In other words, OpenAI will enter markets as one of the largest companies in history. For comparable IPOs, there's really only Saudi Aramco, which debuted at$2 trillion in 2019. They only raised $25 billion, and that remains the largest ever public fundraising. While OpenAI looks set to attempt an IPO at almost three times as large, it's pretty difficult to imagine that they'll struggle raising that much money. Holding aside the mass of retail investors, the stock is going to be on the buy list for every major institution, pension fund, and ETF in the world.
15:21Now, outside of the obvious importance for OpenAI, I think this is incredibly important for the larger AI industry and just to recalibrate expectations of the relationship between retail investors and public markets. While it's not the only reason or even the top reason that people have fallen out of love with tech, the fact that companies have decided to stay private longer and longer, accessing series GHK LMNOP type rounds that were never available before, has structurally blocked out retail investors from participating in the incredible wealth creation of technology over the last decade and a half.
15:51That's not to say that if people could have had access to these companies, they wouldn't still have issues with the way social media has divided and fractured us or any of the other numerous issues that have come along with the modern technology paradigm. but it certainly isn't helping. We're in a moment where sentiment is turning against the AI labs and the AI industry more broadly. And as every story comes of OpenAI going from a$29 billion valuation at the beginning of 2024 to a$500 billion valuation now, even retail investors who are completely sold on the theme were blocked out of participation.
16:21The biggest AI IPO has been CoreWeave, and that's certainly not a pure play on frontier AI models. So sure, if you've been in NVIDIA, Oracle, or Broadcom, it's good for you, but that's not broad-based participation in this key theme. Putting OpenAI and the other companies that should follow its lead into pension funds and retirement accounts gives people and society more broadly a lot more buy-in as the technology develops and wealth gets created. Maybe to put it more simply, and at the risk of getting a little more political than the show normally goes, you better believe that with where public sentiment is, and a disillusionment with capitalism that is starting to run rampant, there is going to be some sort of wealth redistribution that happens over the next decade.
17:00I don't know about you, but for me, I'd love to see some meaningful part of that be in the form of people having access to the equity upside of these transformational companies. So my vote, OpenAI, Sammy A, if you're listening, get public and do it fast. You're already dealing with the entire world watching your every move and yelling at you anyway, you might as well get the funding benefits that could come alongside that. Let's move on to some other parts of the market conversation, though, from yesterday. This week saw the Federal Reserve's FOMC meeting in the subsequent press conference, and during that press conference, Fed Chair Jerome Powell talked a little bit more than he has so far about the state of AI.
17:37Comparing it to the dot-com bubble, Powell said, I won't go into particular names, but they have actual earnings. These companies actually have business models and profits and that kind of thing, so it's a really different thing. Now, the press seemed to be looking to get Powell to signal that the AI build-out had gotten way out of control, basically questioning whether the Fed should raise rates to cut off excessive AI spending. Powell tamped down on that pretty quickly, saying, I don't think interest rates are an important part of the AI or data center story. It's based on longer-run assessments that this is an area where there's going to be a lot of investment, and that's going to drive higher productivity.
18:10He also noted that it isn't his job to weigh in on the stock market, commenting, We don't look at any one asset price and say, hey, that's wrong. It's not our job to do that. We look at the overall financial system and ask if it's stable and whether it can withstand shocks. To that point, he noted that banks are well-capitalized, there's not much leverage in the financial system, and that it's, in his words, not an overly troubling picture. In other words, Meta and Microsoft can drop hard on disappointing earnings, as we'll see, and it turns out the financial system won't come to an end. Now, before we get into Meta and Microsoft, we have to talk about the world's first$5 trillion dollar company, NVIDIA.
18:44On Tuesday, NVIDIA had a ton of new announcements at their developer conference. Jensen Huang unveiled a new networking solution to scale up quantum supercomputers, a deal to build seven new supercomputers for the U.S. Department of Energy, and huge new partnerships with Samsung, Uber, Hyundai, and Nokia. Bloomberg suggested that the long list of new partners was intended to dispel fears that the AI bubble is bursting. Frankly, though, even more so than new business, one of the most striking reveals at the event was just how hot NVIDIA's core business remains. Huang boasted that his company has half a trillion in backlogged orders for their latest generation of AI chips.
19:17That backlog will run all the way through into 2026. In other words, NVIDIA doesn't need to do anything other than deliver on their core product to have one of the most successful years in global corporate history next year. NVIDIA's previous best was$130 billion in revenue for their fiscal year of 2025, which ended in January. Wall Street's lofty forecasts were only expecting$380 billion in revenue through to the end of next year, so there's potential for a 30 % outperformance. Huang told the assembled crowd, We have now reached our virtuous cycle, our inflection point. He said that NVIDIA expects to ship 20 million Blackwell chips, five times as many units as the entire run of Hopper architecture that began in 2022.
19:54Battling the narrative in a Bloomberg interview following his keynote, Huang said, I don't believe we're in an AI bubble. All of these different AI models we're using, we're using plenty of services and paying happily to do it. And for the bubble watchers out there, this has to be an important part of the conversation. Despite a$100 billion round-trip deal with OpenAI, NVIDIA still has multiples of that and customers paying in cash. All in all, the stock was up 5 % on Tuesday and is now up 9 % on the week, making the company the first ever to reach$5 trillion in market cap, which makes them larger than the GDP of every country in the world now except the US and China.
20:26Wedbush analyst Dan Ives remarked, NVIDIA's chips remain the new oil or gold in this world for the tech ecosystem, And there's only one chip in the world fueling this AI revolution, and it's NVIDIA. Now, what about the hyperscaler earnings? We got earnings reports from Alphabet slash Google, Meta, and Microsoft. And Bloomberg TV's Caroline Hyde summed it up like this. Microsoft, revenue beat. Cloud growth beat. CapEx hiked. Stock lower. Meta, revenue beat. Net income hit by tax charge. CapEx to be hiked. Stock lower. Google, revenue beat. Cloud growth beat. CapEx hiked. Stock higher. Let's talk about Google first.
Read the full transcript
21:02As you just heard, the company reported a massive beat. They recorded their first ever$100 billion quarter in revenue, up 16 % year-over-year. Google Cloud revenue was up 34 % compared to last year, reaching$15 billion. Ad revenue rose 12.6 % to reach$74 billion. This extremely strong result allowed Google to boost their CapEx forecast with confidence, raising this year's spend to between$91 and$93 billion. Said CEO Sundar Pichai, were investing to meet customer demand and capitalize on the growing opportunities across the company. Separately, we got another indication of the massive growth and use of Google Gemini.
21:37Whereas between March and July of this year, monthly active users grew from 350 million to 450 million. Between July and October, monthly active users jumped from 450 million to 650 million, a massive shift up. They also saw daily requests increase 3x quarter over quarter. Part of what market analysts are starting to note is that some of the early narratives just aren't coming true. Matt Stuckey, the chief portfolio manager at Northwestern Mutual said, continued strength in search is helping to dispel the negative sentiment surrounding AI's potential impact on Google's biggest businesses. Overall, Google stock was up 6.5 % in extended trading.
22:16Meta and Microsoft had a bit of a tougher day. Meta reported a$15.9 billion income tax bill following law changes implemented in July. That wiped out almost all of their net profit of$18.6 billion. Revenue was a slight beat compared to forecasts coming in at$51 billion. Still for investors, the big headline was that Meta are once again accelerating their AI infrastructure spending. For this year, they raised their guidance from between$66 and$72 billion to between$70 and$72 billion. Next year didn't have a number attached, but they guided a significant increase. Mark Zuckerberg told investors, There's a range of timelines for when people think that we're going to get superintelligence.
22:53I think that it's the right strategy to aggressively front-load building capacity, so that way we're prepared for the most optimistic cases. Still, aside from unclear timelines, another problem for Meta is that their ability to demonstrate a return on all this AI spending is a little bit murkier than, for example, the cloud revenue that someone like Google can report. Meta continues to claim that growth in advertising revenue is due to AI, but it's a little bit blurrier and in general that growth is softening as well. The story from Microsoft's earnings was that despite record spending on data centers, the company is still capacity-constrained.
23:26The Azure division performed well, growing at 39 % year-over-year, which slightly beat Wall Street forecasts, but Microsoft spent$34.9 billion on CapEx last quarter, up from around$10 billion the previous quarter, and still can't seem to catch up with demand. Microsoft CFO Amy Hood, who is known for her capital discipline, didn't seem to have a plan to address this issue. She didn't offer a specific forecast for CapEx next quarter or next year, simply stating the company's spend would, quote, increase sequentially, and we now expect the fiscal year 2026 growth rate to be higher than fiscal year 2025.
23:57Both Meta and Microsoft fell in after-hours trading, with Meta diving by 8 % and Microsoft losing 4%. The name of the game for hyperscalers is now marrying CapEx and ROI. One of the ways to interpret what happened yesterday was that Meta was punished for failing to show ROI, and Microsoft was punished for failing to do enough CapEx. Google, meanwhile, ticked both boxes and the stock soared. David Lefkowitz, the head of U.S. equities at UBS Global Wealth, said, The market is willing at a minimum to take a longer-term perspective right now. We're in this period where the market is rewarding CapEx.
24:30Traditionally, the market has been skeptical of that. On the flip side, as we're seeing, it does really need to be paired with real performance. Today is not a bubble show day, but whatever you think about whether we are or are not in a bubble, if you are someone who is concerned that it might turn into a bubble, I think the meta results in specific should be encouraging. While investors are clearly incredibly excited about the future, they do want to see that even now, early on, there is some return on investment, or at least that there is a clear path to ROI. Now we'll see how that holds, but for now, a very interesting demonstration of where things are at the moment.
25:04That's going to do it for today's AI Daily Brief. Appreciate you listening or watching as always. Until next time, peace.
25:18Thank you.
From the publisher
A new Reuters report says OpenAI is considering an IPO that could raise at least $60 billion—potentially as early as late next year or in 2027. The move would mark one of the biggest market debuts in history and signal that the company’s capital needs have outgrown private markets. NLW breaks down why going public might be inevitable, what it would mean for the broader AI industry, and how it could finally open access to the AI wealth boom for everyday investors. Also in this episode: Universal’s AI music settlement and user backlash, Character AI’s under-18 restrictions, Harvey’s $8B valuation, and NVIDIA’s record-setting $5T milestone.
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