In short
Jim Lanzone (Yahoo CEO) discusses Yahoo’s current scale and strategy, why Yahoo lost search to Google (outsourcing + linking back to Google’s logo), and how AI “chatbot search” changes the interface, advertising, and the need to link prominently to publishers. He also argues Yahoo’s “portal” approach (Yahoo Mail/Finance/Sports + personalized MyScout) fits how consumers actually use the web, and that Yahoo’s role in news is context/aggregation rather than breaking scoops.
Guest backgrounds
Jim Lanzone is a tech executive who has served as CEO of Ask.com, CEO of Tinder, and now CEO of Yahoo. He previously ran digital operations at CBS (mentioned via CBS All Access/Paramount+ and ad “upfronts” analogies).
Key claims
Yahoo is #3 in US traffic (Comscore) with ~250M US users; ~90% of US and ~700M worldwide users. Search advertising must adapt to AI search. First-gen AI UIs hid sources (footnotes), reducing publisher clicks (<1%); Yahoo Scout emphasizes blue highlights and outbound links. Only ~20% of publishers believe they can earn enough via LLM licensing.
Notable examples
Yahoo Scout (launched ~1.5 months prior) and “MyScout” (launched last week) personalized portals; Yahoo email “Planner” using Scout to auto-add deadlines; Yahoo Finance/Sports as resilient “top pyramid” utilities; the 2000 mistake: Google logo link on Yahoo search results trained users to go to Google.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Current Landscape of Yahoo
1:10 to 2:40
Discover how Yahoo remains significant in today's digital landscape despite challenges.
“But obviously still a huge center for traffic.”
Navigating Yahoo's Brand Evolution
2:40 to 4:50
Explore the evolution of Yahoo's brand and its portfolio of services.
“It is still today, now fast forward to 2026, in the last CommScore rankings we were third in the United States in total traffic.”
Yahoo's Search Strategy Mistakes
4:50 to 7:10
Uncover the strategic errors Yahoo made in the search domain and their repercussions.
“Well, it's an interesting thing is Yahoo has always talked about as having lost search to Google and kind of shit on for that and talked about what you shouldn't do strategically.”
The Future of Search and AI
7:10 to 9:10
Discuss the evolving role of AI in search and its potential impact on user behavior.
“It's a bit of a misnomer to say that finally now going beyond 10 blue links and my first run through search, I spent my first 10 years or so in search.”
Introducing Yahoo Scout and MyScout
9:10 to 11:20
Learn about Yahoo's new AI-driven products aimed at enhancing user experience.
“Or is that, is it too much work to ask the news consumer?”
Advertising Strategies at Yahoo
11:20 to 13:20
Gain insights into Yahoo's approach to advertising and its content strategies.
“So we just last week launched MyScout, which looks a lot like the old MyAhoo, but it is built by and on top of our AI search platform.”
Yahoo's New Front: Programming & Advertising
14:00 to 15:17
Learn about Yahoo's approach to original programming and its advertising strategy.
“So for sports and for finance, we have nonfiction content that is really trying to help you with the decisions you're making, the goals you're trying to achieve in those categories.”
The Evolution of Advertising in Search
15:17 to 16:48
Explore how search advertising is transitioning to AI and what it means for the industry.
“So we have a place a few blocks away from here in Midtown, and tomorrow night at 6 o 'clock to 8 p.m., we will have two dedicated hours for Yahoo with me kicking it off.”
Linking to Publishers: A New Approach
16:48 to 19:35
Understand the importance of linking to publishers in AI search results and the impact on content providers.
“But I actually think, you know, this new environment will be more similar to traditional search than people think in that way.”
The Dilemma of Copyright in AI
19:35 to 22:36
Discuss the potential copyright issues arising from AI using content from creators.
“And I think that was just a trick of how the UI of this first generation was done.”
Show all 28 chapters
Squaring the Circle: Balancing Users and Publishers
22:36 to 28:00
Examine the relationship between AI models, user experience, and publisher interests.
“Do you have a view on how copyright's going to net out?”
The Future of AI in Consumer Products
28:00 to 28:40
Exploring how AI can enhance consumer products across various categories.
Understanding Consumer Expectations of AI
28:40 to 29:50
Discussing what consumers really want from AI, including efficiency and entertainment.
“every category that ai can help drive one we've talked we've sort of hit on twice the situation where the consumer doesn't want sort of the super cheap features or like advanced search.”
AI's Role in Entertainment and Content Creation
29:50 to 31:20
Examining how AI can influence entertainment consumption and content creation.
“It always has been category by category.”
Yahoo's Mission and AI Integration
31:20 to 33:20
Insight into Yahoo's mission and how they are integrating AI into their services.
“We do have content categories, sports and finance, but again, in finance, you're trying to make more money or save money.”
The Evolution of Content Quality on the Internet
33:20 to 37:10
Discussing the changes in internet content quality and the challenges of finding reliable information.
“And that's using AI to remove steps so that you can get things done better and faster that you didn't have to think about.”
SEO and AI: Navigating New Challenges
37:10 to 38:30
Exploring the challenges SEO faces with the rise of AI and language models.
“That that is historically our job and we have to, you know, do a good job of that.”
Trusting Media Sources in the Age of AI
38:30 to 41:30
Analyzing how trust in media is built and maintained in the context of AI and misinformation.
“I mean, if it is the traditional large language model with footnotes at the end, it's going to be a hard one.”
Curating Quality Information with AI
41:30 to 42:05
How Yahoo uses AI to curate high-quality information and combat misinformation.
“When people say they don't trust the media, they're not talking about sports or food critics or movie critics or people who cover the real estate.”
The Evolution of Yahoo's News Strategy
42:05 to 43:50
Explore how Yahoo is redefining its approach to news and content.
“Right, you're deciding is Reuters trustworthy.”
The Nature of Breaking News and Its Challenges
43:50 to 45:00
Understand the complexities and challenges of breaking news in the digital age.
“That we will aggregate that news and send them traffic.”
Corporate Influence on Journalism Today
45:00 to 47:20
Discuss the impact of corporate ownership on journalistic integrity and practices.
“I'm not saying you need to, anybody is obligated to be in any particular business, but I want to disentangle, like, do you think breaking news is not like a great business?”
The Struggles of News Outlets in Modern Media
47:20 to 48:25
Learn about the challenges faced by news outlets in the current media landscape.
“And at the same time, we work with hundreds, thousands of sources.”
Yahoo's Turnaround Journey and Future Prospects
48:25 to 50:05
Gain insights into Yahoo's turnaround efforts and the current state of the business.
“You know, New York Times is still doing really well.”
AI Strategy and Innovations at Yahoo
50:05 to 52:45
Discover Yahoo's AI strategy and how it plans to innovate in this space.
“And you realize like selling AOL, like how much have you do the math, I guess, for sort of the Apollo deal to now?”
The Future of Search and Advertising at Yahoo
52:45 to 56:05
Examine Yahoo's approach to search and advertising, including its DSP and new initiatives.
“Like what is the goal with your AI strategy?”
Building an AI Search Engine at Yahoo
56:05 to 58:03
Learn about Yahoo's strategy to leverage its data for developing an AI search engine.
“We looked at every outsource possibility that you could think of.”
Beta Testing and User Feedback
58:03 to 59:38
Discover how Yahoo is refining its AI search through user feedback and beta testing.
“It's ours running through their lightweight model that comes back to us to render in our kind of, we love our UI.”
Transcript
Automatic transcript. May contain errors.0:00Those of us, you know, who ran search engines, we'd be on stage and talking. But in the audience, we're all the spammers. All the whole SEO community. How can we take advantage of all this? All the whole SEO community. And if you went outside or to the bar afterwards, everyone's together. And that game of trying to send traffic for their own purposes, that's not new. Why is Yahoo Finance still number one? Why is Yahoo Sports top two? Why do so many people want aggregated news? And like, what can we do to lean into that? Why is Yahoo Mail still so popular? The spine of that book always goes back to Jerry and David's original founding of the company.
0:36They were trying to be the guide to the internet, but every now and then - That's the norm. That is contrary to - Okay, but think about why that happened. Everyone who was involved was not a traditional search product manager or engineer. They all came out of academia. And so the UI, not surprisingly, looks like an academic research paper. My guest today has been CEO of Ask.com, CEO of Tinder, and now CEO of Yahoo. If you're sensing a theme, it's that Jim Lanzone has spent his entire career betting on companies the internet forgot about and making them matter again. The question is, can he do it one more time?
1:09With AI closing in from every direction, here's my conversation with Jim Lanzone.
1:21search wars the streaming wars and the search wars again and i'm sure there are 50 other uh online wars you've been engaged in you're obviously running yahoo some people remember it from their you know maybe me my college email i think was elf man i won't say the exact numbers Elfman something back in sort of a D &D type era of Eric Newcomer. But obviously still a huge center for traffic. You're obviously doing a lot to stay current in the AI era. Like where is, just give us the snapshot of sort of Yahoo in terms of who's using it today. Yeah, I think it's surprising people. For some reason, even though, you know, Google is 28 years old and Amazon's also 30 years old.
2:07eBay, I think Twitter just had its 20th anniversary. Yeah, it's funny that Yahoo, probably just because the history of it, like does kind of get talked about as being around a long time. It defined one era, right? It has had a lot of ups and downs and that's part of the story. And we can talk about some of that. But the interesting thing about Yahoo is for all the corporate difficulties, you know, through time as a public company selling to Verizon, then we bought it and spun it back out at the end of 2021. With Apollo. Which seems like a good deal. Apollo got it for around$5 billion after all that.
2:42It is still today, now fast forward to 2026, in the last CommScore rankings we were third in the United States in total traffic. We're almost 250 million users in the US, which is almost 90 % of the US. Interestingly, about 50 % of our audience today is Gen Z and Millennial. I think when you cover 90 % of the US, you have to be that, cover that broad of a group. And that's actually our fastest growing group and things like Yahoo Mail, which you might associate as being an older product for the elf man and others. And it's about 700 million worldwide users. And that's after we've shut, we actually got out of a lot of countries when I first got here and we were the turnaround team.
3:25There were a lot of things that we had to do to kind of get the company on the right foot. So we kind of got out of some countries that didn't make sense. So it is still that big. And the way we get to that size is different than a lot of, you know, there are a lot of companies that are one product companies, right? You've got finance, you've got sort of this news homepage. And we are a conglomerate. They're all Yahoo branded. And we did have some brands like AOL that were not Yahoo branded that we've sold along the way. But we are now all yahoo branded and yeah finance sports mail news is still top three um things like weather are still you know top five and still still very big properties um and then search i think is is still a surprise that in the us we're still the third ranked search engine now that's that's far away from from google but um but still a lot of traffic in a very you know lucrative category so we're all those things together kind of add up the yahoo brand itself doesn't mean one there's not like you know just one property that yahoo.com which we've kind of been working on in the past few years is a hub for all those things but you know again there are many companies that just do one thing and that's not us is and there are lots of pieces of it that i want to talk about you used to own tech crunch you touch the news obviously as a news person it's interesting to me i but you know you yahoo obviously fought with google through search made some i guess failed partnership You've criticized them yourself.
4:50What was the key mistake? It sort of outsourced search, right? Well, it's an interesting thing is Yahoo has always talked about as having lost search to Google and kind of shit on for that and talked about what you shouldn't do strategically. But that's not actually what happened. And again, that's 26 years since this happened. And it was before many generations of Yahoo, let alone mine. but from the beginning 1995 it always yahoo always outsourced search interestingly because i think they helped popularize search but that search box was outsourced through enterprise deals so i can't remember who it initially was but it became ink to me and then during the crash period during the first web you know 1.0 crash in june of 2000 which is kind of the big month that it really felt everything fell apart for the industry.
5:39They switched to Google because it was the best search engine. And that became the enterprise solution for Yahoo Search. The big mistake that was made is that in order to save money and get a better deal, they gave Google a link back to Google on every search results page that was the Google logo. So if you did a search on Yahoo and you clicked on that logo, it would do the search on Google. And so people just kind of... You're training people. just go anyway i've said it's it's almost like chat bt or claude having a logo on every google search results page now uh you know so that's that that kicked off you know i think uh you know a couple decades of trying to figure out you know how to make up for that because google you know search became you know the best uh revenue model that you could possibly have but in june of 2000 there wasn't one right you can see the philosophy it's like we link out to news organizations we're helpful.
6:32We get people to go to other places we trust. We're the portal. But obviously, in retrospect, a huge strategic error. So you were not even thinking probably about the company at the time, but now you run the company that made that decision. So now we enter the chatbot era. Do you think, first of all, does the chatbot replace the internet? Or how much of sort of internet activity do you think will, you know, in a decade flow through me talking to a sort of an AI chat bot? Yeah, I mean, I'd say still somewhat unclear. It's a bit of a misnomer to say that finally now going beyond 10 blue links and my first run through search, I spent my first 10 years or so in search.
7:22That was when we really went beyond 10 blue links. It was literally 10 links. AltaVista kind of popularized that UI. Google picked it up from there. And then in the mid-2000s, we all started building structured data search into the page. So if you think about like... You're getting answers when you're... Yeah, weather, lyrics, sports scores, you know, multimedia. These things all started to have local information, maps. They all started happening over time. So it's interesting. Now that area on Google is populated by AI mode. So now you're kind of getting chatbot responses, which are their own flavor of search.
8:00They don't replace all of search. And I think this next step of a Gentic, which is still very early, I think thinking about the search box as the interface for doing anything probably does make a lot of sense, interestingly, because that's where everything started. If you think about how Yahoo started in 1995, it was a directory that then led to news and mail and fancy sports and other things coming into that becoming the portal. But it started with the search box. And to think that all the way through now, 30 years later, that search box is about to become the Iron Man suit and power everything that you might be able to do is really interesting.
8:41I do think it tends to go that way. And you see that now where WhatsApp has a chatbot, you know, built in, Snap has it built in. So it's, that is starting to happen. And what that turns into, I think is still to be written. To defend the portal, my problem with chatbots is that I need to have an idea of what I want to do. And it's sort of like, I really need to have a plan and really sort of pursue something. There's value to be like, oh, what's going on? Like, give me, give me sort of a picture of it. Like, do you think sort of the right, I mean, you're, you're sort of playing both and that you're making sure you're in a good position on chatbots and you obviously have the key portal strategy, but do you think the regular consumer is going to want this chatbot all the time for all their sort of like information needs?
9:27Or is that, is it too much work to ask the news consumer? I think people in our industry can, especially everyone who's building all night now, you with all these new tools that are available, do forget how much the industry itself is not the same as your average user out on the street. So those people do tend to want things done for them. They want things that are free. They don't want to put in the extra effort. I mean, if I go back to Web 1.0 search, my favorite was that 85 % of users, if you surveyed them, said they wanted advanced search, which you probably don't remember what that is. It was Boolean search.
10:08I remember. Less than 1 % used it. They said they wanted it, but they didn't. They want the power. They didn't actually. And we all put in a lot of effort in that day and age into thinking about how to get them to construct queries a certain way, and that all went away. It just became go to the search box, spit it out, and it's up to us on the other side of that box to deal with it. And I do think, especially when it comes to search, that's where it's going to head. And we could talk about it, but we, you know, a month and a half ago launched our own AI search product called Yahoo Scout. And to your point of the portal, we also just launched last week the next generation of what used to be known as MyYahoo, which was a very popular Silicon Valley product, which is your own personalized version of the Yahoo portal.
10:56I feel like I had all these different colors. Yeah, and people loved it and they could move things around on the page. But that was done in a very rudimentary, old school way. But it was popular. We had to shut that down when I got here because the platform it was built on was so old that to upgrade it was just going to be incredibly expensive. And we just decided to build it over again, knowing that AI was on the way. So we just last week launched MyScout, which looks a lot like the old MyAhoo, but it is built by and on top of our AI search platform. So it automatically builds for you on the page.
11:35And just by querying, you know, querying Scout, you can actually create your own categories. So anything you want can now become a tile for your own personalized portal on the page. Right. So it's not, the chatbot can help you sort of have defaults. And you can already see sometimes with ChatGPT, they're like suggesting questions you can ask. Like it's clear that all, that's different than just like a portal you go to. Well, and also they are limited to date by what the thing they know about you is your search history. And so Pulse, which is their first product, was very much based on the searches you've been doing.
12:13Oh, do you want to know how to become a better CEO of Yahoo? How do you know about these health issues you've asked me about? You know, whatever these things go on with your kids, like whatever you've been asking is kind of what they suggest up in their portal. we do have a built-in advantage in that if you are a logged in yahoo user and over 70 percent of our users are logged in on any given day we start to populate automatically with yahoo finance you know with stock quotes with sports scores with headlines with your mail all those things your your location your weather they all automatically populate and then you can add categories onto it from from there all right so you're you're preparing for new fronts right now which we are you know what I never covered the media streaming wars.
12:56It was very important, I think, in the peak streaming days. But it's a moment to talk to advertisers. I imagine it's especially interesting with OpenAI. We want to get into advertising. You have more and more of an AI pitch. What is the dynamic in New Front broadly today? What do you think the key themes that people are grabbing onto? And then we can talk about Yahoo specifically. I think different for everybody. The way the New Front started many years ago was to give online streamers, and I used to work at CBS, and we had CBS All Access, which became Paramount+. We had our own version of this, but it was built on— Not just Workout.
13:34I think you were a pretty important guy. I ran digital for them. But for decades, they had the up fronts, which was—for CBS, we had Carnegie Hall, and the whole ad community would come in, and you would tell them the new shows for the next fall season. and all the stars would show up and they'd have a party afterwards and they would be there to take photos i think they called it the petting zoo where you would have you would have the logos over every show and all the stars would be there to take photos with all the press and all the advertisers that would be in attendance the new fronts was a version of that for hulu and youtube and and netflix you know eventually once they had advertising and others so so yahoo's version of that is a little bit different because we do have shows so but they are very much part of our verticals.
14:20So for sports and for finance, we have nonfiction content that is really trying to help you with the decisions you're making, the goals you're trying to achieve in those categories. So we're not breaking news. We're not getting scoops. We are providing context in that category. So we have Kevin O 'Connor, who's the number one MBA podcast. We have Ariel Hawani, who's the number one MMA podcast. And Brian Sazi and our people on Yahoo Finance and others. So we do about six 60 hours a week of original programming now for sports, almost that much for finance. But for the most part, we also have this whole network of other products.
14:57We're a product company at the end of the day. And so our new front is really talking about all the new products that we're launching with the new Yahoo, all the things that have evolved in our audience. You guys are everybody's doing them. This is just you and your own individual. Okay, but do they happen? They all happen around. Different places. You all rent out. CBS in the old days. It's the same period of time. Everybody's sort of. NBC would be Radio City. Oh, okay, I see. You would all have those. So we have a place a few blocks away from here in Midtown, and tomorrow night at 6 o 'clock to 8 p.m., we will have two dedicated hours for Yahoo with me kicking it off.
15:33I've somehow been convinced to wear a cowboy outfit on stage to start it off in the big opening, and all our GMs get up and talk about all the parts of the company. Are you optimistic about advertising, Ian? language models and chatbots well that one's a different that's a whole new thing right um like advertisers on the mind that's such a big question right now so yeah look and in way back in the day my company we're the first ones to switch from overture to google adwords like i go way back in in the search category and i'm very passionate that uh that search advertising does need to cross the chasm to AI search.
16:19And that while it won't be one for one efficient, meaning, you know, keyword targeted link, blue links that look just like the editorial links were a great business model for 25 years now. It will look a little bit different and probably will be somewhat less efficient in this new UI. But I think actually the characteristics of the two are actually more similar than people would think. And there's a little work that needs to be done to bring them over and how you're going to match keywords and how you're going to render it. But I actually think, you know, this new environment will be more similar to traditional search than people think in that way.
16:57With Yahoo Scout, we actually, one of the core values of the product has been that forgetting, sorry, forgetting, very Italian with how I'm talking. For getting the search advertising part of it, for just the traditional listings themselves, for the results themselves, what we've done with Yahoo Scout is we've actually put a lot of work into linking back out to publishers. So all in our results, which if you go to scout.com, you'll find our own Yahoo-powered AI search products. the results are really good they're really unique and i can talk about why that is but also in the ui you'll see a lot of blue highlights all through and that's what publishers like me want right we want the old world where it's like send us traffic and in some ways you're sort of saying that aligns with advertisers because they would like people to actually go to their sites whereas the the sort of ethos of a chatbot is the answer is here and so i guess do you think well you you maybe disagree with that but that is certainly the big you know anthropic open ai they are trying to solve the problem in the box like do you think that type of ad will send people elsewhere or advertisers are going to need to be content with well they got exposure to me sort of in in this context they didn't necessarily go to my website we'll start with our editorial results at scout they link elsewhere so our results are by paragraph but You're going against the norm.
18:32That is contrary to... Okay, but think about why that happened. So first of all, let's start here. It's extremely important to link out to the publishers who created this content in the first place. Without it, whether you're a large language model or anybody else, you won't have any content to bring together in an answer to provide value to the user, right? So those publishers surviving and thriving is extremely important to everyone involved. Why didn't that happen with the first generation of chatbot AI search results? I just don't think they prioritized it. Everyone who was involved was not a traditional search product manager or engineer.
19:11They all came out of academia, right? Whether they were deep mind or then went to open AI, that was their background. And so the UI, not surprisingly, looks like an academic research paper. and they had sources at the end that were footnotes, essentially, that you would find in a research paper. And so not surprisingly, they're not very prominent in the UI. Not that many people click on them. I mean, I think it's less than like 1 % of AI search results in a click to one of those sources. And I think that was just a trick of how the UI of this first generation was done. Google was caught flat-footed, I think, by the launch of ChatGPT.
19:51and of course because they are by far number one in search they had to counter that ui that chat is helping define define the category so whether or not they want to embrace it or not they they had to and so that's why gemini's first you know version of this looks like that um with scout we are trying to take a different direction we're much smaller we have less at stake and we, I think, have the luxury of being able to employ a different UI and kind of help show the way on that. I do think eventually all AI chatbots need to for their own good, meaning like being able to monetize without subscription, because that's not going to get you all the way there, are going to need to find a way to link out, both because it's good for the health of the internet, good for the health of publishers without whom we won't have this content.
20:45And then, yeah, I do think there will be paid versions of that that will look and operate somewhat like traditional search advertising. And without linking out, you won't be able to do that either. Right. I hadn't connected the publisher piece to the advertising piece. That gives me the most hope that these models need to push out a little bit because they're going to need to push out for their advertisers. And so maybe then they push out. So I can see that. But I don't know. The tech industry has gotten so extractive. Like this view that you're articulating of, we need to take care of the underlying media organizations or content providers so that we have the content to aggregate.
21:24That does seem like sort of the Yahoo spirit of yesteryear, but it feels like that's sort of been forgotten in a world where Google is just not linking to anything. I don't know. I don't see the rest of the tech industry embracing that sort of, we need to maintain sort of all the fuel that we're using underneath. Well, I think another thing will drive them that way, which is I think it will wind up being shown over time that it is better for users as well to have the sources show up more prominently. In our case, not only do the blue highlights, are they linking out? But if you hover over them, you see the source.
21:59And that's just extremely useful for someone doing the research. As you know, these things hallucinate. They're dated sometimes. They don't always provide the right information. depending on the category and the number one category for yahoo scout so far uh you know only a month and a half in is health you do want to validate these sources not just take for granted that the engine will is providing an accurate result so i actually think it's good for publishers i think it's good from a monetization point of view but i think most importantly in a lot of ways it's better for the user as well just because it has it is still early we're still only three years into this and that ui that has become the default i i you know was a uh you know a fluke of how it was launched i mean i don't even think they anticipated how popular it was going to be definitely go back and do this yeah you know very much yeah i'm charging bt it's like oh my god wow this is crazy that's right and so um so that's that isn't the ui that had to you know that had to be and i don't think it's what google would have launched if they had come out the gates first.
23:02Do you have a view on how copyright's going to net out? I mean, the Trump administration just put out their sort of AI guidelines, which I thought were somewhat thin. I don't have a full view on all of them, but one of them was sort of like, we should let the courts, I guess, decide on copyright. Like we're not going to come down super hard and that that's going to play out. It fits into what we were talking about, just because if you're not, if you're not emphasizing pushing people to links, it feels more and more like you're just stealing their IP if you're just using it for your own answer.
23:32Like, have you done an analysis on how much you think sort of models could get hit with copyright at the end of this or they're just too ubiquitous and they've just won by being like so dominant? Yeah, I'm not. Yeah, not a lawyer. Just play one on TV. I'm sure you have lawyers running around. Well, it's interesting. I mean, I do think that for 30 years, the social contract of the Internet and of search was that a search engine would crawl you unless you with robots TXT you decide you didn't want to be crawled for whatever reason and then search engines respected that or were supposed to and that the social contract was that they would take a snippet and the link and they would link back out to you and then if you wanted to have other information like you know lyrics you would actually or images you would acquire those from a structured data provider and then you would add those to the page.
24:25But the reason you wanted to be crawled was you wanted traffic, and that was how you had a business so that you could keep creating that content. So if you start to go to a world where that content is taken, digested, and interestingly, not even for the answers, but to be able to predict, it's autocomplete, to predict the next word or letter or token. I mean, that was never contemplated when you were coming up with this. And I feel for the companies who are really based on evergreen content, you know, with Yahoo, we are one of the top 20 publishers whose content shows up in an LLM. So we are on weirdly on both sides of this.
25:07With deals you struck or just? No, no, they're just taking. Yeah, we are suing over it. No, we haven't. We have not. We have not done that at this point. But, you know, when you have a clock, you're like, oh, we have to decide. Now, I mean, it's interesting that even the people who are being paid don't believe that they're going to be able to make enough of a living that way. So that's the other interesting thing happening here. I think only 20 % of publishers believe that they can make enough money by selling their content to large language models. Well, some publishers struck what seemed like a huge deal with Anthropic.
25:48I don't know the numbers. But then if you look on a per book basis, it's not like you could write books for a living just being like, oh, well, this book is going to. Well, that's books. I mean, just talk about web publishers. I mean, tens of millions is probably not going to cut it for the level of businesses that these companies are running. So something else has to happen. I believe what needs to happen is they need to, before it's too late, do the right thing and link out. Let's do the right thing for the users and do the right thing for publishers. So let's start with trying to get there first, you know, before we worry about, you know, just just throwing in the towel and saying this is the way it's always going to be.
26:23But I really, you know, again, it's not just Pollyanna like, hey, let's do this and try to be good. The good guys here. We are trying to be the good guys on that for sure. We think it's the right thing to do. But I also really do find it really valuable in the UI. And I think if you scout, you'll you'll feel the same way. You know, finance is obviously a huge, important vertical one that I think about a lot. How much do you think, you know, the retail trader is going to become smarter because of LLMs? Or do you, how much are you trying, are you doing anything to give them advice based on what language models think?
26:58And like, what do you see in terms of, yeah, just like the retail trader and what they want for financial environment in this new world? Well, one dirty secret of that is that, of course, Yahoo Finance for 30 years, people have tried to copy it, tried to kill it, Google themselves. Interestingly, the person who started it for Google is on my board at Yahoo now, Katie Stanton. But it's interesting how resilient that property has been over the years. And that's before I think we've really tried to make it better and have some other things coming that I think will be a lot better. Again, you fall into an area where the most basic features are the ones that are used the most.
27:43And so that deep, deep research is used by a smaller and smaller percentage of the user base. Yeah, but really, you know, stock quotes and news wound up being at the very top of that pyramid. and we are building things you know using ai using scout that allow you know people to go deeper and do hardcore research and and we do have things in the pipeline for that we've also as part of the launch of scout we we did launch features straight into every one of our products so far not just finance but fancy sports news email everything has got some bit of scout we call it the scout intelligence platform kind of pushing features into it and one is you know explain to you like what changed about the stock why you know why is it trending in this direction things like that um but yes i i think um i think there is a future of uh much richer detailed products in every category that ai can help drive one we've talked we've sort of hit on twice the situation where the consumer doesn't want sort of the super cheap features or like advanced search.
28:52And then on finance, we're talking about, you know, it's like they want a couple of things. They're not necessarily doing like intense hardcore research. I feel like in sort of the AI consumer, somebody I think had a tweet I'm stealing. I'll have to go find it and throw it up on the screen. But basically the idea is that I think there are a lot of people who think consumers want AI to like save them time, like in business or like make me sort of more efficient, better at like calendaring or something. But in a lot of cases, what they actually want is sort of to waste time sort of more enjoyably.
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29:25And they want AI to be like fun and lively. And I guess I'm just getting at like, what do you think the consumer really wants from AI? Like where do you think there are real needs that LLMs can satisfy versus right now they're sort of just getting thrown, yeah, Things that researchers built sort of natively to them and stuff that's working for enterprises, but doesn't really have like the consumer. It is. It always has been category by category. So I think AI now is, you know, horizontal across everything that's happening out there. It depends. So. So, yeah. And I don't know what part of it you're using for entertainment.
30:06Is that like it's your buddy? Well, some of it. You're having conversations with it. I had the sort of like, oh, we're going to create like slop videos. My wife has recently been sending me these. I don't know how much TikTok you waste your life watching, but they're a very viral TikTok of the moment is fruits, like, you know, arguing with each other, like cheating on each other. It's like as if it's like The Bachelor, but it is fruit. And it is like it's the first time I don't I found it terrible. I was like, I don't know why you're watching this, but it's like slop, you know, is sort of hitting story in a way like i feel like this sort of like time wasting video is where it like can be sort of tested enough and it's just like throw shit at the wall see what resonates with people i don't know i know that makes sense that's that's just incremental i mean amazon just announced ai studios i think albert chang it was formerly of abc and disney and i mean is now running it um so there obviously is a future for that it makes more sense in short form videos right lower consequences and and it's more time burning spin up the whole movie yeah but tick tock's not new or reels is not new to how you or youtube shorts to how you've been spending time you know that's consumed much much more of your entertainment time than it used to so you know i think that makes sense we we tend to operate much more in categories where um they you are trying to get things done so you do have a little bit more of that professional well again it's some of them Some are utilities, so I would say email, search, maybe weather are in the utilities category.
31:39We do have content categories, sports and finance, but again, in finance, you're trying to make more money or save money. Sports is the one where, you know, obviously that's entertainment, but Yahoo users are using it to play fancy, beat the snot out of their friends, you know, take it too seriously that win money, you know, they're, they're actually using it for, for these things. So not to be cheesy about it, but we did have to reset the mission of the company when I got here. Yahoo was a turnaround. It had been owned by Verizon for many years before that, serving whatever purposes they bought it for.
32:12Before that, it was a struggling public company having to make really hard choices about what it was going to do to survive and try to grow against some really hard headwinds of Google and Facebook and YouTube and social media, other things. So, you know, we had the benefit almost of being able to only focus on what was good about Yahoo. We didn't have to worry about the rest of it. Why is Yahoo Finance still number one? Why is Yahoo Sports top two? Why do so many people want aggregated news? And like, what can we do to lean into that? Why is Yahoo Mail still so popular? And the spine of that book is always goes back to...
32:47What is it? What always goes back to Jerry and David's original founding of the company. They were trying to be the guide to the internet. It says it right on the original page, Jerry and David's Guide to the World Wide Web. And that started because Andreessen had started Mosaic. And it was originally for it said on the page for Mosaic. And it was because you had access to the Internet, but you didn't know how to find anything. And then that evolved into doing things. And Yahoo is your home base for that. So we did not have infinite resources taking this over. Our job to do is to make sure we understood that people were using Yahoo 4.
33:22and that was for trying to accomplish these goals in whatever category it was so all of our focus and roadmaps started to go behind that and that's when we started to move out things that didn't sorry but it's still rooted in the internet or it's all internet but you're using the internet to accomplish those things um so when it comes to ai ai uh we just launched literally today as an example in email you talk about entertainment versus calendar and all that but we launched a product called planner and it does go in using scout technology and extracts all these like next step uh things that are demand need to demand your attention that you need to know you know a deadline something for your kid's school a flight doctor's appointment it extracts that out and automatically adds it to your calendar if you're a you know or to a to-do list and in yahoo in your, you know, we have that feature as well.
34:16And that's using AI to remove steps so that you can get things done better and faster that you didn't have to think about. Like, I think that's a good one. I had my first fantasy baseball draft of the season last night. And if you are a Yahoo Plus subscriber, it will be your research assistant and help you do a better job in your draft. So So it really is category by category. I buy that Yahoo is more of a friend to the internet than some of these LLMs because it's like, okay, we want to get people to the good stuff out there so they can find it. And that's really what the business has been about.
34:53But has that raw material just gotten worse over time? Is the internet just degrading? It feels like media is getting worse. you know i think of like even reddit which for a while i think there was a meme it's like oh if you wanted a good google search result you just search what are they saying on reddit which i think is somewhat true but to some degree i worry more and more that reddit posts are becoming like was this an llm ama or or is this a real one i don't know do you worry about just like the raw materials that you rely on on the internet getting worse right now i mean i hate to always bring it back to this isn't new, but if you go back to my first time in search, Danny Sullivan, I don't know if you remember Danny, but he had the biggest search engine conference.
35:395 ,000 people would go. And those of us who ran search engines, we'd be on stage and talking. But in the audience were all the spammers. How can we take advantage of all this? All the whole SEO community. And if you went outside or to the bar afterwards, everyone's together. And that game of trying to send traffic for their own purposes, that's not new. And, you know, there are really good SEOs are trying to be helpful for publishers. And there's ones who are trying to gain the engines to, you know, drive it to, you know, lower tier traffic. That is not a new game. I don't think AI slop. I think that's another part of it.
36:18Think about the decade before clickbait. I mean, it's just, you know, all these attention vampires out there. Think about how headlines change over the years and the ones that you would have written 10, 15, no, probably 15, 20 years ago to over the last 10 years after BuzzFeed and how every, even New York Times, headlines became very BuzzFeed type headlines. So this trend has been out there. But I would say there's more good content than there's ever been, certainly than 20 years ago on the internet. Just by sheer volume, if you think about not only is the content on The Times and Washington Post and CNN and BBC and all these places, there's amazing content in these places.
36:57But then with Substack and then with YouTube, it is endless how much great content is out there. So I think it is our job to help you find the good stuff and to be your guide through that digital wilderness and then, you know, avoid falling into, you know, off a cliff or stepping on a rattlesnake or whatever we have to help you do to get through it all. That that is historically our job and we have to, you know, do a good job of that. That job will get harder over the next 30 years, but it's not a new job. I think I agree with you that overall it's gotten better. I mean, YouTube explainers, that whole category is sort of like you can go to YouTube for sort of any question you have about the world.
37:35I think the New York Times has gotten better, but obviously like local papers have generally gotten worse. It's hard. It's hard to score overall. I mean, I worry. There's been puts and takes. In this generation, I'm less like Jim Prosser, a PR guy in Silicon Valley who I respect, has a blog. he basically argued that like the uh seo optimization for llm's category i forget what people are calling it but yeah but he said he thought that was sort of fake or like that that there isn't as much to be done there do you agree with that they're honestly i i follow a lot of seos i i you know came out of that industry i i i know a lot of those people i read on twitter all day long everything they're just trying to do what they can uh to adapt and to get the that that traffic was pulled out from under them in a lot of extremely important categories that that had been and and to your point you know um not really with any heads up you know this was just done in the dark of night and all of a sudden it's like here are these right here are these products i'm not even shooting on the se i'm more saying is there money to be made helping people optimize for language models right now, or you think that's not going to be a big business?
38:51I mean, if it is the traditional large language model with footnotes at the end, it's going to be a hard one. But yeah, the industry will have to adapt to prioritizing traffic or it'll be hard. I mean, I do watch those discussions that they're having about trying to figure out like, oh, if you, you know, because what they're hearing from Google and others is, you know, it's the same. Do it the same. You have to optimize for these characteristics on quality and speed and freshness and all these things. But at the end of the day, if the UI does not enable someone to easily click out or click out at all, it's going to be hard.
39:34Right. Hard to see value from it. It's going to be hard to get traffic. Right. Yeah. And by the way, I also think users have been trained. And this is where I go to. We're only three years into the next 30 years. So I think it can be evolved over time now, but it's not going to happen overnight. They have been trained initially with these products to not click, you know? Definitely. My biggest concern, rather than like spam for language model error, well, not my biggest concern, a concern is just whether the consumer is savvy enough, right? I think on Twitter especially, you see all this like AI writing that goes so viral and And it just feels like who is the speaker?
40:17Like the markets are moving off of reports that feel like they could have been written by AI. Although the mission for Twitter is Wild West. It's free speech. Anything goes. We're not going to curate it. And that's a good thing. So that's probably not the right place to go if you want to. But that's where we've been going. Yeah. But I would argue those users are getting what they're asking for in using that product. I mean, I use it all the time. And you just have to know what you're getting yourself into. They have been launching more features to maybe help you curate it more. But, you know, look, every one of these feed-based products is always trying to get you to the for you column.
40:58They're all about that, and that's the one that's most susceptible to that. But your answer for this problem is to trust sort of news outlets, right, which you then sort of drive traffic. You're not personally going and saying who's real, who's not, what's true, what's not your... We definitely are when it comes to Yahoo.com or Yahoo News. You're saying which outlets are true, right? Or like you... We are trying to be purple in terms of left and right. And I would always remind people, there's only one category. When people say they don't trust the media, they're not talking about sports or food critics or movie critics or people who cover the real estate.
41:39it's politics is the dividing category and and uh and so for that one we really try to especially for people who are not logged in just starting out not move them one way or the other now you will by the algorithm be moved one way or the other and based on your preferences over time i think that's totally fair as long as the the source is a trustworthy source we you know we are partnered with hundreds into the thousands of publishers so we we have vetted these sources that you will see showing up. Right, you're deciding is Reuters trustworthy. The only thing that shows up on Yahoo is someone we've done a partnership with when it comes to news.
42:13When it comes to Yahoo Scout, our AI answer engine, there's all kinds of data that's coming into that, including vertical publisher data. We also ground it on Bing.
42:29It's based on usage data, query data, all the things that Yahoo uniquely has over time. It's one reason our answers are pretty unique. But in that way, it is curated. It is not just a random poll by digesting the entire internet and then predicting the next token. You're striking partnerships. Yeah, we're actually trying to have a high quality in our answers. I mean, the news business can feel essential, a trend we haven't touched on as much, like prediction markets. I think there was a reporter who was worried he was getting threatened over saying that a missile had hit something because a prediction market hung over it and there was an angry reader trying to get him to adjust the article um to i guess help the bet so you know prediction markets resolve to some of these news outlets obviously man right language models you know it's like a lot of materials news i mean you you own tech crunch which obviously no no we sold yeah you owned yeah that's what i'm saying yes past and decided not to continue owning like how much is your view that yeah the news business is fucked Well, that wasn't it.
43:33It was that we were kind of had one foot in hot water, one in cold water. Like, who are we? We have to choose. We were bought by private equity. We're starting back out. Like, you just have to focus, you know? And so for us, over time, it was that we're not in the breaking news business. So we aren't having reporters on the front lines, you know, reporting the news out from there. That we will aggregate that news and send them traffic. And we're glad they do it. But that's not, that's all we do. We are our our content is for context to the things that people breaking the news, you know, report.
44:08And historically, Yahoo Sports is a good example. The best breaking news reporters in basketball, you know, originally Woj, then Shams. They started Yahoo. You were the breeding ground. It was the breeding ground for that. But again, within and I saw this at CBS as well because we ran CBS Sports dot com. We had all kinds of, you know, writers on the front lines. and SportsCenter would barely mention us in breaking the news. I mean, it was within five seconds. It's already out there. So we just felt like that's not where we can have the most value and maybe we don't find the most value ourselves.
44:42Which is it? And also why be the 200th player in that? It's not where Yahoo should play. We were literally competing against the Associated Press for news stories. That's not our job. Our job is to send the Associated Press traffic. Yeah, I mean, you define your job. I mean, I guess to me, the world is short on breaking news. I'm not saying you need to, anybody is obligated to be in any particular business, but I want to disentangle, like, do you think breaking news is not like a great business? Again, I would say we have to go back to, sometimes when people talk about someone buying our company, they're like, oh, but what do you get by regulators?
45:21I'm like, I love that we're at this point in time, 31 years, that after all Yahoo went through and how much people in the industry kind of dragged the brand through the mud, that they would think that we would be the source of being, you know, of a regulatory thing with an acquisition. That doesn't make sense. But I would say the same thing here, that Yahoo of all, you know, publishers would be the one that is being... Why hold us to account on the... Well, no, no, is the one that you're saying is missing from the front lines of journalism. I think there's a lot of people... Right, you're doing far more journalism than every other tech platform in the world.
45:53We do a lot of journalism, but again, we do it from a certain point of view of like, that is not the breaking news side that I think a lot of people do. I'm not trying to put their resources into. In some ways, it's because you're the closest to it. Part of doing a turnaround is people are saying like, what's the formula for that? There's not always one. People is the most important part. People know what they're doing. And then they naturally put a great strategy in place and built great products and all that. But, you know, one part of that is strategic focus. You can't do everything, especially when you're trying to fix the P &L, you know, get a solid foundation going for the future.
46:33That is where we really were coming from and all that. But breaking news, I mean, it becomes a headache. Or like, were things getting like escalated up to you? Or just like the business of breaking news is hard to manage? Not for very long. We made these decisions fairly soon after we took over. But no, I wouldn't. Certainly no decisions would make their way up to me. I mean, I remember back at CBS, I had all kinds of news brands. This was my first rodeo running a news brand. We did not get involved. Well, that's why I'm asking for your sort of overall perspective on news right now. Yeah, I mean, it's an interesting spot.
47:10I mean, I think the corporate ownership of all these things, what's being pushed on journalists from an editorial perspective. And at the same time, we work with hundreds, thousands of sources. I think the ones or the flashpoints are always interesting. There's nothing more interesting to journalists than other journalists. And I've always found that too. and so that is not happening across the board. There are still the vast majority of sources are not falling into that camp. So what I would say is new sources are definitely seeing less traffic because of the way search has been evolving. So that part of it has been difficult for the industry and staffing in a premium way requires premium CPMs, right?
48:06And I think what happened over the previous 15 years was programmatic CPMs against premium staffing equals very difficult business model. Right. So now other things have evolved, like podcasting and other ways to, you know, to kind of to go with if you're those kinds of brands. But, yeah, it has been a hard business and harder for some than others. You know, New York Times is still doing really well. There are others doing well. That's what I was going to say. anyone who's subscription-based and this could be you know really anybody you have to start with a broad funnel usually of free if you're netflix and you're you define the category chat gpt in some ways with that where it was a subscription model to start with the only way you could use it was in many ways uh was subscription-based um uh but at the end of the day only five percent of chat gpt users are i believe are paying subscribers so again back to that broad funnel and I think that requires brand, that requires scale.
49:09So it is for the few who are able to have that kind of a model. And then on the other side of that, you will have more niche things and that is where historically trade publications would fit in. They would charge a lot of money and not have a huge subscriber base, but they're prestigious in their industry. And I think that's - I'm happy to take on that mantle. And I think that Substack and others have come along in that niche and furthered that. What Yahoo is obviously privately owned. Like what can you say about the business today? That's good being private. I think. Don't you want to brag? I feel like.
49:47No, not yet. At some point. It's, you know, look, this was the kind of the white whale of turnarounds. It was one that, you know, I don't think a lot of people thought could be pulled off. And it was even, you know, I feel like we have done that, but I think it's been a four and a half year now journey to get there. And you realize like selling AOL, like how much have you do the math, I guess, for sort of the Apollo deal to now? Yeah. So, yeah, I mean, what they have said publicly is they've already returned the investment, the cash investment on it. So we're kind of playing for upside, you know, on the rest of it.
50:23If you look at it as a PE deal, we're a little, we're very unusual for that, right? because we are heart of the beast silicon valley you know who we compete with for users who we sell to you know all of that it's not a it's not really it doesn't fit the model of a traditional you know pe deal in that way um and then ai you know when we bought the company it was the middle of like stonks and and all that and then and then ai wasn't even on the map and that happened november of 22 we we spun the company out in september of 21 so that's changed the whole game so yeah with deals like AOL, we actually sold the content delivery network that they own when we first joined.
51:00We sold the branding rights to Yahoo, back to Yahoo Japan when we first started. So they're like, and then smaller ones like TechCrunch and Rivals and Gadget. So you take those all together and it's been, we've returned quite a bit. And then the amazing thing is that the core Yahoo business, we've really optimized that. We've gotten the cost in a really good place. The quality of the people is incredible now. And they're all, you know, off and running. Traffic is growing at a really good rate. Revenue is growing at a really good rate. Very profitable. But, you know, this was a company that went public in April of 1996.
51:39You know, started running into some headwinds in the 2000s. And I think for the next 15 years, you know, it was kind of rough to be a Yahoo, the public company. If you think about the the famous deal where they didn't sell for 44 billion to Microsoft. That was 2008, you know, and it went on another almost 10 years before selling to Verizon. So that was a long time. So there, it is good to be private. I've worked, I've done two startups that I founded or co-founded, but you know, the majority of my career is one of them in public companies or large companies. I'll just say there's some benefit to being public.
52:13I mean, to being private, to do the, you know, to do all the things to fix it. Because once you go public, as you know, it is all about you are held to account quarter by quarter. And you better understand what those next five years are going to look like before you get there. And it's also hard to make changes in public. What does a win look like for Scout and your AI strategy? How much is it about showing the industry what it should be doing and then playing with the industry versus you want this to be sort of a huge product on its own? Like what is the goal with your AI strategy? So if you go back to the turnaround strategy, it was a couple years of transformation work to the org, to the team.
52:57And then once you got through into the revenue model and the revenue engine, you know, we migrated from the old revenue engine to a new one that was just, you know, was better. And then once you get through that, we are in the right, OK, to then go and fix all the products. So then we went through that phase and now we're in the shots on goal period. We've actually, we have the resources. Like it's working, we're making money, we got rid of the stuff that doesn't make sense. We can go do something with this audience and that is very loyal to us and the places that are very logical not to go do some rando innovation, something that has nothing to do with the spine of the book for Yahoo, but things that our users would find uniquely valuable, but also your asset base.
53:40So I would say there's two big ones right now. One is Scout. The other is our DSP, our demand-side platform in the ad tech space, which is growing in a really good clip. That competes with people like Trade Desk and DV360 from Google and Amazon and a lot of smaller players. We're the largest private DSP. And that is essentially, you can target, talking about the new fronts, you can target on Yahoo, oh no, we will sell ads to you directly to go into our properties. You can also, using our data, then go through us to have ads on other people's properties. And so that has been a really good business.
54:23We shut down two ad tech businesses to focus on that one. And we think that could be potentially worth billions of dollars if we get that right. What percentage of the business is it? I mean, it's a lot of top line revenue. There's a lot of revenue sharing that goes back. Right. Yeah. So you do. And how much are people using it of traffic? To totally advertise off of Yahoo or it's mostly for people who are already doing a lot of Yahoo? No, it's only 9 % of the impressions in that network are Yahoo. So that's also our competitors will say you're only buying Yahoo and try to throw us under the bus that way.
55:00It's actually 90 % are off of Yahoo. And so Netflix and Spotify and many, many other great properties work with the Yahoo DSP. Scout is interesting because there's a lot of great reasons to do it, which is why we built it ourselves. So Yahoo had outsourced search since 2009 to Bing. And same as Yahoo did originally. So it was almost like an enterprise search deal. And Bing did that to build up the volume in their network, right? The way search advertising works is it's not about the technology as much as it's about volume. The nth advertiser will, you know, increase prices in the auction. They'll expand coverage.
55:39They'll increase relevance, which will help the click-through rate. That is really the secret, is the nth advertiser goes to Google. So if you put Bing and Yahoo together, you know, for the Bing marketplace, it actually increases the likelihood the nth advertiser will also come into Bing. So that's why Yahoo and Bing have been partnered for so long. But when it came to this, we looked at the category about a year ago because we were coming through that transformation period. Felt like this was the next obvious thing to focus on given search such a big part of our portfolio still, but outsourced it.
56:13And we looked at everything. We looked at every outsource possibility that you could think of. And it came back to the idea that given all the data, 30 years of search history, all of our usage data, our user data, the publisher data, all of it, we actually were sitting on this goldmine of data that you could use to create a really good AI answer engine. Right. You have to partner with an index because you have to ground it for accuracy. But if you had that, and then it became very obvious that we already had a big search team. really weren't building index search that we could repurpose for this so we we tried to figure that out and then last summer we bought the company a company a startup run by a guy named eric fang who's kind of a uh luminary in the industry he he you know back in the day he worked at microsoft and ran the research lab in beijing and he helped create bing but then he went with jason kylar and he co-founded hulu uh he was the head of technology and product for hulu so we both spent time in the streaming wars.
57:15And then was at Kleiner Perkins and Meta and other places before the startup. So Eric shared a passion with our team that what he called Yahoo's Toys would be an amazing set of data to work with to create a product like this. And so we went up buying his company last summer and we put him in charge of consumer search. And so early August last year, we started building. And again, if we go back to why we did it, we have the third most search volume. It's small compared to Google, but still a very big business for us. We had to have the best AI search results or answers that we could possibly have.
57:54If we didn't, we would lose users because search is evolving and changing. And if it made sense, we would outsource it, but it actually made the most sense to build it. How much of yahoo.com are you funneling people? Like, are you? nothing so far why not like because uh we are in beta and we're a month you know cost does it cost more money to distribute we're a little more than a month and a half in and yeah there is a cost there's a there's a cost both to grounding a bing and we work with a very lightweight model that anthropic makes called haiku um so it's super fast and it essentially processes our data it's that we're not using their answers.
58:33It's ours running through their lightweight model that comes back to us to render in our kind of, we love our UI. We think it's really rich UI that has some personality and some great answers. So all that together does cost some money. That cost is coming down over time. And then again, over time, I think search advertising will come back into this category and be able to make this really profitable. But in this early stage, we are trying to hone it. We actually have a Slack channel called Improve Scout. And hundreds of Yahoo employees are in there all the time, like feeding back on what's happening.
59:13We're getting user data in from people coming through it. I mean, it's in the millions of people who are, you know, that have been through this and are using it. But, you know, at the right time, we'll come out of beta and want to unleash it across all 700 million users. but we just, we're not in a huge hurry to do that yet. Well, I'm cheering for the vision of getting traffic back out to the publishers. Great to hear it. Thank you so much for coming on the Newcomer Podcast. Thanks, Eric. Great. Thanks for sticking around to the end. Please, if you've made it this far, you've got to like, comment, subscribe.
59:47Excited to grow the channel. And of course, you can find our writing and reporting on Startups and Venture Capital at newcomer.co. We also host events. You can check out what we're doing at newcomer.events. Share other podcasts. Help us get distribution. Support the channel. Comment. Support. Like, comment, subscribe. You know the deal. Thanks. Thanks for being on the journey with us. All right. See you next week.
From the publisher
Jim Lanzone has spent his entire career betting on companies the internet forgot about and making them matter again. CEO of Ask.com, Tinder, and now Yahoo. Eric sat down with him to find out how he pulled off the turnaround nobody thought was possible, what single decision handed Google the internet, and why Yahoo is building its own AI search product for the first time in over a decade.They get into the $44 billion Microsoft deal Yahoo walked away from, why AI chatbots are failing publishers and what needs to change, how Yahoo Scout is trying to do search differently, and what 700 million users actually looks like in 2026.If you think Yahoo is a relic, this conversation will change your mind.




