BlackRock Weighs $10B Investment in SpaceX IPO, Microsoft’s GitHub Alarm, Genspark COO on AI Apps

追加: 2026-05-19

[00:00:22]Heat. Heat.

[00:00:39]Heat. Heat.

[00:01:13]Welcome everyone to the information tit.

[00:01:16]My name is Akos Pasicha. It is Monday, May 18th. We've got an action-packed week ahead of us. A couple things to put on your radar. Google is hosting its annual IO developer conference. Meta is scheduled to begin a big round of layoffs that will account for about 10% of its total headcount. And Nvidia is reporting its first quarter results on Wednesday after the closing bell. It's also a big week for Elon Musk with the expected launch of SpaceX's Starship scheduled now for Wednesday. If that goes well, it would mean big things for the upcoming SpaceX IPO. Of course, the launch has been delayed at least three times in 2026 alone, so we will see if things take off or not. On the show today, the information published exclusive reporting about Microsoft executives sounding the alarm over GitHub. We'll talk about the outages that it's been experiencing shortly. We also have exclusive reporting around Black Rockck's potential interest in the SpaceX IPO. I'll then talk to the co-founder of AI platform, GenSpark.

[00:02:18]We'll talk about pricing, competition, models, and of course, ROI. And lastly, we will wrap the show with some exclusive data from our generative AI database on how concentrated revenue is in the sector. It's going to be a fun show, so let's get right on into it.

[00:02:35]GitHub is causing Microsoft more and more problems. Activity on the platform is surging, but so too are issues and outages. I want to bring on Aaron Holmes, our Microsoft reporter, who published an exclusive story with those details today. Aaron, welcome back to the show. It's great to have you here.

[00:02:51]We had you on the show a couple weeks ago. You mentioned that GitHub had some problems with outages. You published a deeper dive on the platform today.

[00:03:01]What's changed since we last spoke to you?

[00:03:04]Yeah. So essentially I have learned that these outages that GitHub has been suffering are basically resonating with some of its biggest customers. Um you know and heard that some of those customers have actually been complaining to Microsoft and getting essentially refunds on you know some of the the time that there were outages and you know that's starting to obviously impact some of the the bottom line at GitHub. Um, and on top of that, I think, you know, I also just kind of learned more broadly that uh the the executives who lead GitHub are trying to really push to fend off the rising competition that GitHub Copilot is seeing from Claude Code and from Cursor. And that at this point looks like, you know, an allout effort to improve Microsoft's own AI coding models so that GitHub copilot has more of a moat compared to competitors like OpenAI and Anthropic. So, we'll get into all those parts of the story shortly. I want to go back to the fundamental cause of the outages. Do we know why these outages are occurring?

[00:04:05]>> You know, there's a lot of different uh factors that seem to be kind of creating this unique situation. So the company itself has pointed to rising traffic on GitHub which is you know being driven by people using AI coding agents who can effectively upload and edit code on GitHub much more rapidly and and more frequently than a human ever could. Um not all of that increase in traffic is leading to new revenue though because GitHub does not charge for basic things like you know uploading code or editing code with your own third party AI agent.

[00:04:40]At the same time, we also know that GitHub is moving from uh you know, Google Cloud to Azure and that migration has caused some issues according to the company. Um there's also just been a lot of churn at GitHub. A lot of the the leaders uh that were previously leading it have moved to other parts of Microsoft or out of the company entirely. Um so I think that all of these things are kind of coming together to create a somewhat challenging situation for GitHub. But the company has said that they are making some fundamental changes to how they, you know, develop and host the platform that in theory should help with the outages that they've been seeing.

[00:05:16]>> So, I didn't realize this, but but GitHub, which is owned by Microsoft, they were actually using Google Cloud this whole time. They weren't using Azure.

[00:05:23]>> Yeah, they've used a mix of different cloud providers. Um, they were acquired by Microsoft in 2018 and originally wanted to get on Azure pretty quickly, but it ended up taking just a lot longer than the company had planned for. But this year they are officially trying to make the Azure migration happen fully and once and for all.

[00:05:42]>> Right. So one of the interesting parts about your story Aaron is you also talked about who's leading GitHub or rather you know there being sort of a um a bit of a not a void but a question mark as to who is actually leading who's in charge over there.

[00:06:00]>> Yeah. So the the most senior executive leading GitHub is Jay Periq who Microsoft hired for Meta um a couple years ago and specifically has been leading all of the kind of internal uh businesses that um that basically sell developer tools. So GitHub kind of became a natural fit for PR to take over. Um, however, last fall, uh, former GitHub CEO Thomas Damki left Microsoft and since then, there hasn't been, you know, a dedicated CEO just on GitHub.

[00:06:30]Um, there's also been some other big departures. Asha Chararma was leading product at GitHub or or within the core AI or that includes GitHub and then left to become the Xbox CEO earlier this year. Um Julia Lucen who was leading the developer division at Microsoft also had some you know oversight of engineering at GitHub and she just announced her retirement. So it is definitely a period of transition where a lot of the most senior folks who had been leaving GitHub um have moved into new roles. So then I I I just want to understand then what Microsoft is doing then to address these outages because they have a lot more traffic and again we should uh remind folks here GitHub is in the business of basically people who develop code they upload their code and it's a place that they can sort of share access to these uh code uh repositories I think it's called and so we are in an environment where it's a lot easier to generate code there's a lot more code being uploaded more traffic more outages lack of leadership What is GitHub ultimately doing to solve the problem or what do they tell you they're doing?

[00:07:34]>> Yeah, it's not even just the outages. We also know that GitHub's margins have come under pressure recently. Um, in part because they, you know, were serving GitHub Copilot on a per seat pricing model. Um, and the fact that more people were using the AI tools without necessarily paying more to use them, uh, compressed margins last quarter. So, not only are they trying to, you know, sort of stop the the outages that have annoyed customers, they also recently overhauled pricing to essentially raise prices for most of the AI features on GitHub. And as I reported in the story, you know, leaders have also been looking into potential new ways to to scale how much they charge customers with how much third party AI agents uh use the platform. Obviously, they don't want to do that in a way that would further alienate any customers. Um and it's not clear exactly what course they're going to take there, but uh it has become pretty urgent to overhaul pricing to make sure that you know they're not subsidizing the use of these costly AI tools on their platform. So when you talk to GitHub customers then or people using the platform, how high are the stakes here? Because another layer of your story is you talk about the competition that is mounting against GitHub. You've been on the show previously talking about how OpenAI was thinking about developing their own uh rival to GitHub. In your story, you talk about the threats that even some of the larger AI labs could pose to GitHub. You know, is this a type of platform where customers are saying, "Hey, I'm just going to switch. It's very easy for me to go." Or is this kind of a a harder migration that that might be a bit slower?

[00:09:12]You know, I think we've seen some smaller customers um that that told me that they were considering switching. We also saw Mitchell Hashimoto, the co-founder of Hashi Corp, say that he was moving his open-source project Ghosty off of GitHub. Um, however, when I when I talk to larger customers, they do say it would actually be very costly and kind of annoying to to move their code bases that they keep in GitHub into a competitor like GitLab. Um, you know, it's it's pretty straightforward for a large company to also host its own code repository. That's what companies like Meta, for example, have done for years.

[00:09:47]Um, and and I think that that option is there, but uh, currently, you know, doing that would be a bit of a pain for large customers. So, I I haven't heard of any large enterprises that are actively moving out of GitHub. And I think that to some degree, the switching costs involved with moving away are, you know, keeping GitHub from bleeding customers for now. So I think that you know if GitHub is able to sort of staunch the the flow of people being annoyed by recent outages, they are likely going to be able to hang on to those big customers. However, you know, the more that developers use tools like cursor or cloud code on an individual basis um means they might not be necessarily storing that code in GitHub versus just storing it locally or elsewhere. And that's another kind of real concern that that GitHub is facing now.

[00:10:32]>> Great. Well, Aaron, I want to thank you for coming on. That is Aaron Holmes, our Microsoft reporter here at the information.

[00:10:39]Black Rockck is considering a major investment in SpaceX's IPO. That is according to exclusive reporting from Corey Weinberg, our deputy bureau chief of finance. I want to bring on Corey to share with us what he knows. Corey, welcome back to the show. Another big week in SpaceX IPO land. Uh whenever the S1 drops, we are eager eagerly waiting.

[00:11:00]Uh what did you find out about Black Rockck?

[00:11:04]>> BlackRock is obviously a classic uh huge asset manager that invests in a ton of IPOs and they've been pretty hot on the SpaceX train. Uh I've been trying to talk to my sources to understand, you know, who are the big buyers of this deal. SpaceX needs $75 billion or that's what it's been sort of talking about. uh raising um that's the biggest IPO in history by by sort of a at least a factor of two. And from uh people who have been around IPOs for a while, billion dollar plus investments in a deal like this are rare. Um they you can count them on two hands once over. And so what I've been hearing from sources is Black Rockck has at least been discussing investing as much as 10 billion in this IPO if they can get their hands on it. Um 5 to 10 billion is the range that I reported. Um that could change as we get closer to deal time depending on the price, but the upshot is is Black Rockck is all in.

[00:12:15]>> And and why is why are they all in?

[00:12:18]What's the calculus here? the calculus at least from if you if you talk if you listen to uh the CEO of Black Rockck's public comments on on Elon Musk uh the calculus is Elon has delivered returns uh time and time again with Tesla and and now coming with with SpaceX coming to the public market and that you know sort of uh tells the whole story for them. Uh Larry Frink brought uh Elon Musk onto the main stage at Davos earlier this year and he started his conversation uh with Musk by telling you know this sort of financial elite audience uh look at the compounded returns that this man has has brought to bear. Imagine if if all the pension funds uh sort of had invested alongside Tesla when it went public uh just how good their returns would be. So you have a CEO of Black Rockck almost talking up Musk as he's planning this huge financial event.

[00:13:18]>> So if Black Rockck puts 5 billion 10 billion I mean they they put money in would there be ripple effects? I mean, would this send a broader message then to investors given Black Rockck's stature or is this really just, you know, is this is this a top- down? Is this a deal between uh the CEO of BlackRock and and Elon Musk? You know, how how high are the stakes here for this investment?

[00:13:44]>> I think sorts on the on the buy side uh sort of in the investment world that I talked to are trying to discern who are the big incremental buyers of this IPO.

[00:13:55]Um, and knowing that sort of Black Rockck is in for a big sum, uh, does send a strong demand signal to the rest of the market, uh, especially because some bearish commentary that I've heard from sources is sort of this idea of, well, so many of these large mutual fund complexes already own SpaceX in some form from the private markets. Fidelity Investments, one of the largest mutual funds that you would expect to invest in an IPO, for instance, already has a humongous uh SpaceX stake. And you >> you talked about us in the story. It was like this idea that Black Rockck is almost playing catchup here.

[00:14:36]>> Yeah, Black Rockck is playing catch-up in the SpaceX game. They have invested you know privately for I think of the last eight years or so but their stake they haven't they haven't invested nearly as much as Fidelity for sure and then also not as much as some other large public crossover investors like Bailey Gford uh and Franklin Templeton >> Corey I I just want to give people a little bit of a you know of a primer here on whenever the S1 does flip and people are going going to rush to it and you know these documents are are sort of quite meaty to get through. What is the first page you know as you're flipping through what I mean where are you going to go first uh in the S1 what's the most interesting part that you're going to be looking for?

[00:15:28]>> Uh I think there's a a few different places. Um one is I think people should actually read the kind of management discussion section that are in these S1s. This is an area of every IPO document where companies get to explain sort of their their vision for the business and that's that's useful framing. Um so I wouldn't you know it's sort of this long there there's there long section there's paragraphs uh you know many paragraphs and and it can look quite dense but it's worth worth reading. The juiciest parts I think uh will be sections like uh related party transactions uh which sort of are are supposed to show where have there been significant deals between Musk's companies between insiders and and SpaceX. um you know those those are usually some areas where investors will will find red flags uh in terms of uh sort of inter intermingling of deals and then you also have I think people are going to fixate on the uh sort of compensation executive compensation section uh especially because it's Musk uh because as we've reported he has a couple huge moonshot grants uh that give him a lot more equity as he if he brings SpaceX X to Mars and if he launches an an insane amount of compute into space.

[00:16:56]So I think those are kind of going to be a couple juicy sections. Um but overall I find people don't read these documents enough in full and and you know set set aside an hour and just uh you know >> an hour you get through it in an hour really >> glass of wine.

[00:17:12]>> Well if you're getting through a whole S1 in an hour I mean that's there's a lot the SpaceX IP. It might might take me a little longer than that, but um >> first read I think you know Yeah, you do a first read in an hour and then then uh you know come back to it.

[00:17:26]>> Great. Okay, Corey. Well, I want to thank you for coming on. That is Cory Weinberg, our deputy bureau chief of finance here at the information. If you live in New York City, chances are you may have seen subway ads for Gen Spark.

[00:17:39]It is one of the loudest campaigns on the trains. Saw one this morning actually. I want to bring on the co-founder and COO of GenSpark, Wen Sang, to share more about his company strategy. Wen, welcome to the show. It's great to have you here.

[00:17:51]>> Um, good morning. Um, oh gosh, and excited to be here.

[00:17:56]>> So, I've seen the subway ads. Okay. I see it's, you know, it's got the it's the there's the uh mock diagram of the train and it's emulating the path that you go from a single idea to generate a PowerPoint deck. Is that what GenSpark is all about? generating AI PowerPoint decks.

[00:18:14]>> Uh well it is what we're about but it goes way beyond that. No cash. So essentially what Jenspark is we build uh AI agents for the 1 billion plus knowledge workers. Um so the world is going through fundamental shifts right now. In the past we human beings we are the workhorse. We are the production engine. For us to achieve real business goals we have to go through the busy work all the work. You craft documents word by word. You built presentations pixel by pixel. You built financial models cell by cell. Well, uh, with GenSpark, you no longer have to do that.

[00:18:47]Everybody gets elevated to the level of a Jamie Diamond. You don't see Jamie typing hard to get presentations done, right? You just to have a fleet of analysts running your pockets and they run around. They get a busy work done.

[00:18:59]That's what Jens is all about. We >> Jamie Diamond has people Jamie Diamond has people doing it for him though.

[00:19:05]>> He has people doing it for him.

[00:19:07]>> Yes. We put AI agents in your pocket to do those work for you.

[00:19:11]>> Okay. All right. So, so it's the busy work. It's, you know, it's uh spreadsheets. It's uh documents. It's um uh PowerPoint presentations. I I see the whole suite. My question is when I mean I was just using Claude yesterday. I mean Claude has you can install Claude into Excel and you know I think Gemini now they have their own way of of uh developing PowerPoint decks as well. So how is it that you are going to compete with the large AI labs which very easily can develop their own applications the way you have?

[00:19:44]>> True true Aash uh clearly this is the direction everybody believes in right so so goes with the even big tech giants like Microsoft Google and so on. So we all see the value of uh uh asking you know the help from AI to get all the uh busy work done for us so that we human beings can take a step back and then think and be strategic and creative. But when it comes to what is so special about Genpark is we release the world's first mixture of agents tech architecture. What that means is we sit on top of 70 plus state-of-the-art models. We work with open AI, Anthropic, Google and all the open way models and we orchestrate the you know uh we call on the perfect model for the right task at the right time in order to take advantage of the strength of the all of these different models because as you know all these models are good at different things. They have different strengths and it is important to not get biased by one of them but being able to uh summon all the models at once to get onto your tasks. So we understand the importance of allowing not only the individuals but also our enterprise clients have access to the greatest and latest models um all at once instead of them feeling that being locked into one model provider and now when someone else uh you know launches a new model they just can't have access to it. Uh yeah, that is extremely important.

[00:21:04]>> Let me ask you a question. Uh you guys have put up some big numbers and I should say we we didn't mention it at the outset, but I mean the last valuation you guys got was 1.25 billion.

[00:21:12]Uh I believe this was in the fall of 2025. You're looking at me. Was that was that not the latest round?

[00:21:18]>> Uh the latest was actually 1.6 billion.

[00:21:21]>> 1.6 billion. Okay. My apologies. So 1.6 billion. And the latest revenue figure is what? So we grew from zero to $250 million annual run rate within 12 months. That was toward the end of March. Aboutch. Yeah.

[00:21:36]>> So my question for you is companies like you that grow their revenue profile so quickly. How confident are you that this is sustainable revenue? I mean we hear about these experimental budgets, these trial periods. You get a lot of companies quickly and then there's the churn risk. What are you doing to prevent that? Are you seeing any churn?

[00:21:55]So um just as any company or cash everybody everybody has certain amount of change. So it's uh only natural that you know you get discovered early on and then some people decided they wanted to keep using it. Some people decided this is not necessarily right for them. But for us what is important we found is that the growth is like a wildfire.

[00:22:14]We're just getting started. We're all in a very early stage of this whole AI revolution. But what we found is u you know output quality is essentially the most important thing. What I mean by that is um we human beings are actually pretty smart. It's pretty easy for us to tell am I you know wasting my time burning tokens teaching AI and not getting what I want or it's one prompt the job is done. So we built a technology um not only it has access to 70 plus soda models but we've also built out 150 plus in-house tools uh to ensure that the large language models they would have the right tools to use in order to do the real world work because LM are just like brains they don't have arms and legs we built arms and legs for them with that we have seen users loving our product and taking advantage of the product making a lot more money than they pay to us and essentially yeah the output quality is the key. So, >> so in in other words, that the 250 million end of March in in uh annual recurring revenue that that has continued to go up. You haven't seen that dip at all in any in any way.

[00:23:19]>> I would say we're really just getting started. think of it because um I mean there are over a billion knowledge workers that goes to solo entrepreneurs, bankers, analysts also yo a lot of people working in the enterprise environment and um today if you compare the impact of AI versus internet >> it's way not there yet it's not touching >> how are you guys dealing with the issue of of rising prices for the models I mean so so 70 models right and yet >> uh it's expensive it's getting more expensive we've done reporting on this and you're an application layer company, you are sort of subject to the prices that the models will charge you. I I imagine this is having an impact on your margins. I don't know if you're passing these costs on to your customers.

[00:24:04]>> You're smiling. I feel like this must be a top of- mind issue for you.

[00:24:08]>> Well, yeah. Look, I guess everybody's paying premium to Frontier Labs. There's no question. Um and the Frontier Labs would pay premium to media. That's just the uh state of the world. Uh but the reality is this uh Aash um you know GVD 4.5 is a fine model okay uh it's supported it powered chat GV for a long long time people love it but today everybody's on 5.5 uh why and and the cost of 4.5 has went down it it nose dived uh but but people are on complete new models that is because all the AI application companies are trying to push to the ceiling the performance ceiling it's not to say that model is no you know, no longer valid or whatnot.

[00:24:50]So, basically, this is early land grab like the early days of Uber and Lift and so it goes with 20 other companies is the nature of it. People are subsidizing inference. There's no question we are paying premium to all of these frontier labs.

[00:25:05]>> But yeah, let me ask one more question before you before you go.

[00:25:09]>> Yes, please.

[00:25:10]>> Because I I I did want to ask you this question here. Um, how do you measure the ROI of subway ads? you you guys are literally everywhere. I mean like do you are there metrics around how many people will see it and conversion or stuff like that? Is it just brand value? Like I mean I see your ads everywhere. How do you measure the ROI of these ads? Uh that's a great question. We have a full portfolio of advertisement and strategy.

[00:25:36]So before we hit $100 million annual run rate, we didn't spend a a single advertisement dollar and then we believe it is product signal. So we bought Super Bowl ads actually back in February halftime fourth quarter we had whole you know 60 seconds out of the Super Bowl and then we decided that New York and Tokyo these two cities are the major hubs of knowledge workers and we wanted that uh you know people to know about us. We know we built something that is valuable and a lot of people love us and we want to make sure people can see us.

[00:26:04]So that's that's why we bought you know uh uh uh uh inventory from the New York subway system because we know so many tens of millions of people. What's the R what's the ROI though? What's the ROI?

[00:26:15]So, we measure the ROI a lot more easily with, you know, spending on Google and YouTube and so on. But for Subway ads, to your point, it's brand awareness. It is uh when I get a phone call from a major investor who's willing to, you know, put in, you know, hundreds of million dollars to a company like us saying that, oh, I've seen your ads, that's why I'm calling you. Uh is those are the moments that, you know, that hey, did this did the job for us. It's not like a dollar is a dollar.

[00:26:43]>> Got it. Okay. Well, Wen, I want to thank you for coming on. It was a great discussion and uh I look forward to seeing how things shape up for the company. That is when Sang the co-founder and COO of Genspark here on TI TV. Anthropic and Open AI are widening the revenue gap between themselves and the rest of the AI startup field. My colleagues Amamira Friday and Stephanie Palazolo wrote about that in their Sunday insights column that published over the weekend.

[00:27:10]Stephanie joins me now to explain with us the numbers that she crunched.

[00:27:14]Stephanie, welcome back to the show.

[00:27:16]Tell us about the data that you calculated and what it tells us about AI startup revenue overall.

[00:27:23]>> Totally. Um, so this has been a continuation of a series that we've been working on for the past, you know, couple months or or maybe at this point up to a year where we're we're kind of tracking the revenue of these quote unquote AI native startups. So I mean two things here I think. First on the bright side, we do see kind of overall revenue from these AI native startups growing. So it's it's up, you know, 112% from 6 months ago. Uh, which is obviously pretty impressive. I think maybe on the not so bright side, uh depending if you're an investor who's invested in these big AI model labs or not, um a pretty big percentage of that revenue is coming from just two companies, OpenAI and Anthropic. And that share of revenue that's coming from those two model labs has been growing over the past couple months. So right now it's at, you know, around 89% which is 4.5 percentage points higher than what we saw 6 months ago.

[00:28:17]So 89% by the way before we do that Stephanie you are selling the information's generative AI database very short here we have been tracking AI startups revenue for not a year not two years but more nearly three years now since the launch of the information pro and I know this of course because I was responsible for tracking said revenue two years ago >> um so we've got a lot of data in that database that is definitely worth checking out um but I want to come back to the the 89% figure. So it's Anthropic, OpenAI and the rest of the sector. I mean what does this tell us just that I mean these startups are never going to be able to compete? I mean we've seen Anthropic and OpenAI uh you know they they unveil features that end up sort of encapsulating the entire product portfolios that these smaller startups have. What are sort of the broader um signals that this is sending to you about the AI race? Yeah. So as as you said, it's definitely a piece of evidence that is supporting this argument that a lot of the value is going to acrude to the model labs. So, you know, as you mentioned, in the past year or so, we've seen these model companies like OpenAI and Anthropic come out with lots of different applications that are targeting specific use cases or verticals. Things like, you know, coding, finance, uh, law that are, you know, honestly kind of like overtaking their own customers that are working in those verticals. So we've obviously seen for instance cloud code and codeex really catch on and really kind of pose a threat to companies like cursor which you know at one point was the kind of darling of the AI app sector. Um and so I would say it's definitely not a great sign for AI applications and I think it definitely should you know raise questions in their mind of how they want of you know what is the best strategy for them to remain competitive against these larger AI model labs and um you know whether they're targeting areas that the labs might want to go after at some point in the future. Now you also talked about a caveat to your analysis which is that there's a little bit of double counting here with revenue. Can you explain to us what you meant by that?

[00:30:29]>> Yeah. So kind of related to what I just said. You know uh many of the companies in our analysis are the customers of these large uh model developers. And so as you see these AI apps as you see their their revenues grow they're also spending more money on the models to then power those apps. So it is kind of this situation where a lot of this money is kind of like flowing amongst the same couple companies and so there is this kind of you know kind of double countingish in a way with this analysis >> right now we are of course only talking about topline here. If you were to take this analysis a step further I mean profitability would obviously be the next question. um you what other sorts of data uh might you be uh looking to collect or what are the common metrics that a lot of these AI companies are focused on right now?

[00:31:21]>> Yeah. So I would say, you know, revenue growth is the top priority for many of these companies. And we do see, you know, we've written stories about this that a a lot of developers these days are willing to shell out kind of bucks on these top models because they know that they're just um that there there really isn't like a good alternative to them and to compete with other startups.

[00:31:42]They just need to, you know, kind of bite the bullet, pay for the top models and call it a day. But I do think like profitability is a metric that people are and investors are are increasingly curious about and you know are placing more importance on especially as we see companies like OpenAI and Anthropic head towards the public markets where you know traditionally public market investors are uh they they want to see profitability at some point if not you know right whenever these companies are are going public. Um so yes I think revenue growth uh profitability um another thing that people are looking out for is you know in some cases we see these app companies start to train their own cheaper models. So companies like cursor are you know basically taking open source models and uh specializing them for specific use cases like coding which kind of then helps them save a lot of money that they might have otherwise spent on the big model lab. So yeah, so I think definitely the next time we do this analysis, I'll be curious to kind of check out those metrics as well as whether we see the share going to OpenAI and Anthropic growing or maybe we kind of see AI applications catching up.

[00:32:47]>> Great. Well, Stephanie, I want to thank you for coming on. That is Stephanie Palazolo, author of the AI Agenda newsletter here on TI TV. That does it for today's show. A reminder, we are on this stream Monday through Friday at 10 a.m. Pacific, 1 p.m. Eastern. If you can't make it, then episodes are available on the information.com, on our YouTube channel, or wherever you get your podcasts. Make sure to follow us on social media on X, Instagram, Tik Tok.

[00:33:11]I'm already excited for our next show tomorrow. Have a great rest of your Monday. Bye-bye for now.