Axios CEO on ‘Post-News’ Era, Tubi CEO on TikTok Awards, Lyft’s Autonomous Goals | Dec 18, 2025

18 Dec 2025 · 1 h 10 min

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

Podcast Episode Summary: The Information's TITV

Episode Title

Axios CEO on ‘Post-News’ Era, Tubi CEO on TikTok Awards, Lyft’s Autonomous Goals | Dec 18, 2025

Hosts

Akash Pasricha, Sri Muppidi, Steve Quirk, Anissa Gardizy, Erin Brewer, Jessica Lessin, Anjali Sud

---

Episode Overview In this episode of The Information’s TITV, the hosts discuss a variety of topics including OpenAI's funding and valuation, Robinhood's new AI features, challenges faced by Oracle, Lyft's financial turnaround, the evolving media landscape, and Tubi's inaugural TikTok Awards.

---

Key Segments

  1. OpenAI's Valuation and Organizational Challenges
  2. Funding Talks:
  3. OpenAI is discussing raising tens of billions at a valuation of approximately $750 billion.
  4. Key players in the funding include SoftBank and potential participation from Microsoft and Amazon.
  • Organizational Issues:
  • Internal tensions at OpenAI regarding the balance between product and research teams have hindered progress, particularly with ChatGPT.
  • There is a disconnect between users' preference for quick responses and the slow outputs of advanced reasoning models.
  1. Robinhood's AI Innovations
  2. New Features:
  3. Robinhood has introduced AI tools to assist traders in identifying patterns and opportunities.
  4. The AI will not execute trades automatically but will provide insights to enhance user decision-making.
  • Prediction Markets:
  • Robinhood is entering the prediction markets space with a focus on democratizing access to trading insights and leveraging consumer engagement.
  1. Oracle's Data Center Financing Issues
  2. Backer Withdrawal:
  3. A major financier, Blue Owl, has backed away from a funding project for an Oracle data center, raising concerns about Oracle's financial stability.
  4. The broader implications for Oracle's ability to secure funding for ongoing projects are discussed.
  1. Lyft's Financial Turnaround
  2. Growth and M&A:
  3. Lyft's shares have surged due to a reported turnaround, generating over $1 billion in free cash flow over the previous 12 months.
  4. CFO Erin Brewer discusses the company’s acquisition strategy, including purchases like FreeNow and TBR, aimed at expanding its market footprint.
  1. The 'Post-News' Era with Axios CEO Jim VandeHei
  2. Media Landscape Shift:
  3. VandeHei introduces the concept of a 'post-news' era where information consumption is influenced more by diverse media sources than traditional news outlets.
  4. Discussion on the impacts of AI and LLMs (Large Language Models) on content creation and the need for news organizations to adapt to the changing landscape.
  1. Tubi's TikTok Awards and Media Trends
  2. Event Announcement:
  3. Tubi CEO Anjali Sud discusses the first-ever TikTok Awards, emphasizing the convergence of traditional media with social media platforms.
  4. The significance of AI in enhancing content discoverability and storytelling is highlighted, along with Tubi's approach to integrating creators into their programming.

---

Key Takeaways

  • OpenAI's Challenges: The organizational structure at OpenAI is causing friction that affects productivity and user experience.
  • AI in Trading: Robinhood's new AI features aim to enhance user interaction without fully automating trades.
  • Financial Stability Concerns: Oracle faces difficulties in securing funding, impacting its future projects.
  • Lyft's Revitalization: Strategic acquisitions have positioned Lyft favorably amidst competition.
  • Media Evolution: The shift from traditional news to information-driven consumption presents both challenges and opportunities for content creators.
  • Convergence of Media Platforms: The integration of social media elements into streaming services is reshaping how content is consumed and discovered.

---

Conclusion This episode encapsulates significant developments in the tech and media sectors, revealing the interconnected nature of funding, technology, and content creation in today's rapidly evolving landscape. The discussions emphasize the importance of adaptability and innovation as companies navigate these challenges and opportunities.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:13Welcome everyone to the information's TI TV. My name is Akash Pasricha. It is Thursday, December 18th. Today on the show, we are talking about the information's exclusive reporting about how a new funding round at OpenAI could value the company at$750 billion. We're bringing on the reporter who broke that story. I'll then be talking with Robinhood's chief brokerage officer as the trading technology firm unveils new AI features and wades deeper into the world of prediction markets. We'll also then address that steep drop in Oracle shares earlier this year after news that a major financier for its data center backed away from the project.

0:53And we have an exciting lineup of executives this morning for you with the CFO of Lyft and the CEOs of Axios and Tubi. It is a big show, so let's get right on into things. The information is first to report that OpenAI has discussed raising tens of billions of at a valuation of$750 billion. Joining me now to discuss that is one of the reporters who broke that story, Sri Mupiti. Sri, welcome back to the show. It's great to have you here. Excited to be here. So what do we know about these funding talks? Exactly. As you said it, OpenAI has been in talks to raise tens of billions of dollars at a valuation of about$750 billion.

1:35It's not clear to where exactly the valuation would land or how large the round itself would actually be as well. It could be as much as$100 billion is what we learned. And that's crazy because that's like one of the largest rounds that we've ever seen in history. And so I'm excited to see how the round fares, where would a company like OpenAI actually get this type of capital. So the next couple of weeks will be really exciting. You've broken a number of the contributions that funds have made to OpenAI's endless pursuits to fundraise. Who do you think is in the mix here in terms of sources of funding?

2:10Who do you expect Sam Altman would be making calls to to maybe fill this new round? Totally. So we had previously reported that SoftBank obviously is leading the$40 billion round, so they're putting in roughly$30 billion so far. And so I'd assume that SoftBank would come in again as part of this round. I'm not sure exactly how much, though, because obviously committing$30 billion is a large number in itself. But that means that other financial investors like SoftBank, for example, Thrive Capital, Coastal would likely also like to top up. But even still, I think that pool of financial investors would only make up roughly 10 billion, maybe more.

2:49But the large portion of the rest of the round would likely come from other strategics. So that means, for example, potentially Microsoft, which has been an original partner of OpenAI since the beginning. They had previously invested more than 13 billion over the course of OpenAI's history. we've reported about Amazon potentially investing or has at least been in talks with OpenAI. It's not clear to us that this is the same round as the round that Amazon has been talking off, but I'd imagine that Amazon discussions maybe perhaps kicked off this 100 billion, potential 100 billion round. Then also beyond just the strategic, it could be sovereign wealth funds, for example, in the Middle East or Asia that have large pools of capital.

3:30We have previously reported that OpenAI I had been in discussions, for example, with the Public Investment Fund of Saudi Arabia, as well as India's Reliance, but those discussions didn't fare anywhere, at least for the$40 billion round. And so those are also potential markets to be tapped. So everyone, I guess, is the answer. Literally everybody. Anybody that has money is on deck. It's a good analysis there. Look, I want to pivot to another story that you published today. You wrote this story with a couple of our colleagues about how the organizational changes or the organizational structure at OpenAI has in some cases actually inhibited some of the progress that the company has been making with ChatGPT.

4:10Talk a little bit about the reporting that you found. Totally. So what we found, having talked to a lot of former employees, current employees, etc., was that big model upgrades led to huge surges and usage in ChatGPT in prior years. But in more recent times, OpenAI employees actually realized that big upgrades to model intelligence didn't actually necessarily lead to how people use ChatGPT. That was particularly the case as a result of reasoning models. Reasoning models are essentially very good at answering hard questions. This could be math questions, science questions. They won different types of Olympiads and competitions, but they take much longer to come up with answers for users.

4:50Users by far prefer having quick answers much faster than having this long-winded time to spend to actually answer the question. And so that disconnect, some folks that we talked to believe that helped Google make gains against OpenAI. So I think that was basically the crux of the story of how the challenges between the reasoning models and how that led to maybe not the best gains and usage for JackGPT was confusing for some folks. Now, one of the things that your story hit on, which I'm happy it did, is the product team and the research team at OpenAI and the extent to which those teams are carrying the organization.

5:31We know that OpenAI is so focused on research. I mean, is there a tension at all between the product and the research team insofar as who gets resources? Have they changed the focus at all? Yes, exactly. I think the research and product tension really mirrors the tension that product and engineering teams maybe had in other tech-forward companies. So for example, I'd imagine this would have been the case at companies like Google and Stripe when engineers were the force of the company and product took more of a backseat. I think what we're seeing now similarly is that research is at the forefront at Chachapiti.

6:08And in a recent blog post by Fiji Simo, she also explained that OpenAI still is a very research-oriented company. But this type of tension, I think, basically shows that what research works on at OpenAI doesn't necessarily lead to improvements in the product experience for ChatGPT users. And ChatGPT, as we know, drives the most revenue for the company. And so this shows to me that there is still a large opportunity for ChatGPT to further be productized is how people talk about it, where it's basically there are opportunities for improvements in ChatGPT itself for users to have a better experience.

6:49So that could be, for example, maybe like having a notification to help you exercise more because you have indicated that you're interested in that or having e-commerce integrations, which, for example, we've reported that Amazon has been in discussions with OpenAI. And so they still... Let me ask you about Fiji Simo. You mentioned Fiji Simo. Has Fiji Simo's appointment or her role, has it helped the issue at all? I'd say she's been making pushes towards driving more product features launched. So for example, she, I believe, helped the company launch a new image or model earlier this week that is integrated into ChatGPT and have ChatGPT surface images more a part of the ChatGPT conversations.

7:39but I think honestly it's been too early for me to be able to particularly assess what Fiji has been done but I'm looking forward to sort of what the next couple of months especially will be as like a company's in its code red. Great well Sri I want to thank you for coming on that is Sri Mupiti our open AI and anthropic reporter here at The Information. Robinhood announced new AI features this week to help traders make sense of their portfolio. And the company is also wading deeper into predictions markets. To tell us more about the company's strategy overall, I want to bring on Steve Quirk, Chief Brokerage Officer at Robinhood.

8:19Steve, welcome to the show. It's great to have you here. Thanks so much for having me. I really appreciate it. Well, I'm excited for the conversation. You had some exciting announcements earlier this week. Look, you made this string of announcements about AI features. And the question I want to ask just at the outset here is, can the AI do the trading for you? How does it work? Yeah, we're not quite there yet. And I don't even know if our, truthfully, if our customers want to go all the way there. I mean, the majority of them probably won't want to go all the way there. But what they really would like is some help in identifying, if I'm a technical person, identifying patterns that are of interest to me or opportunities for trades.

9:04And then having AIA capabilities help me do the research and optimize that trade. because I think what you experience with a lot of people who are very active is they, of course, want all the help they can get in identifying opportunities and even making sure that they optimize those opportunities. But there's a certain sense of fulfillment they get from actually doing it themselves. And so I think that's the aspect. And by the way, the other part is the part that is the most labor intensive and takes the most amount of time. So if we can help them in that component, I think it's going to be game-changing for many people.

9:49Right. Now, I just want to play this forward a little bit. And I know you said you're not sure you ever will get to the point where AI will be doing the trades for you. But look, I have never really done any hardcore trading in my life. The difference between what AI trading would be and then like algorithmic trading. What would be the functional difference there? Well, I just think it's taking it to the next level because algorithmic trading has been around for quite some time. Right. And so like even, so one of the first things that we rolled out from an AI standpoint, and I'm talking about client facing because we've done a lot internally that's been really helpful for customers.

10:28But one of the things for what I'll call the more sophisticated traders that we first rolled out is a lot of them do some scripting or scanning for either indicators or opportunities of stocks that are looking like, you know, whatever variables they want to put in. But for, in many instances, they have to either do that scripting themselves, learn a language and then script or create these scans, which can be kind of time consuming. And what the AI capabilities that we've rolled out give them the opportunity to do is either do text or speech and just put those in and then they can save them as a preset and even share them with other people who have interest in doing that as well.

11:11That's very, very powerful because you're basically taking the universe of people who are qualified to be able to using these capabilities from, you know, like call it 1 % to a much larger audience. And many people want that help. Whose models are you using under the hood? Our own. We're using our own because we have a lot of customer data. Built them yourself. Yeah, because think about it. We're 26 million customers and a lot of data. Now, I mean, for the information, of course, we have to go outside, you know, because you're talking about market moving information. So, you know, we have many, many different news sources that we use.

11:51And then that's the source of information for a lot of what's publicly traded. Now, the other slate of announcements you made is the company's move to way deeper into prediction markets, which I know is the most exciting topic everyone wants to talk about. Everybody wants it. It's the topic du jour over the holidays. Well, and I didn't even think about that. I mean, people are going to be talking about a lot this Christmas, I'm sure, over dinner and stuff like that. I want to ask you a bit of a question here. look if calci and poly market didn't get so much traction if they weren't the the names that we know them to be in the tech sector right now do you think robin hood would have opened a predictions market um it wasn't like so the the sort of the genesis of prediction markets i would argue kind of started on even more traditional exchanges like the cme which is now getting into it as well or ice.

12:47So they, you know, came out with some binary products and some futures on weather and things of that nature, which just give you a little more precision. So in other words, if I'm a grain person who's, you know, interested in grains, um, and I'm either hedging myself or, or speculating, um, what I'm really speculating on is the weather. And so like they just gotten closer to what, what the real source of, um, the interest is in terms of the investment thesis. the prediction markets in Kelsey and Polly and others, they really capitalized on the interest. It started in, I think the biggest one that, at least from our standpoint, was around the election.

13:29And of course, the election is going to drive a lot of movement in people's portfolios. And the idea that I have to parse out which component of my portfolio is going to move which way depending on who's elected um you know is is work but the idea that i can just um make uh an a an investment thesis on the election which essentially either right allows me to capitalize on my portfolio or protect it it's much easier and much more precise and that like the interest the interest on that which we rolled out was like half a billion contracts in a week insane like crazy crazy crazy interest and then it grew because people have they want to express opinions on will the fed move interest rates will kevin has it be the next fed you know everything is so even if calci and poly market didn't get the traction that they got you you still would have opened a predictions market probably you're saying well i mean um i in fairness to them they are the exchange so like we're we're not an exchange right now like think of it very similar to our equity model, which is we route to exchanges or option model.

14:40We route to exchanges. So we need one of those exchanges and there's forecast X as well. That's who we started with. So that's kind of the model for us. We're the distribution. We have the customers. They're the exchange that is creating the product and then we're going through them. So, I mean, in fairness to them, either them or the CME or somebody has to create that because we're just the agent out here. Yeah. How do you protect against insider trading on these prediction markets? You know, it's a good question because it's something that's been a kind of a hot topic. It's not dissimilar to a topic that was brought up when crypto really was getting its legs.

15:27And they were saying, you know, how do we ensure we already do this? Like we do it at scale because we have to for insiders on insider trading and corporate people have corporate MMPI material, non-public information. We already have the template and a model that exists. So I would argue like bringing this into our world is actually helping it with from the standpoint of integrity because we already have the model. We know where you're employed. We know everything from a KYC standpoint about you. And so we have those protections along with the exchanges. And so Robinhood is scanning the predictions markets trading that are happening on its platform the same way it's monitoring any other trades for any.

16:13Exactly. And looking at who's trading it. Yep. Okay. And, you know, I do want to ask about regulation here. Speaking of predictions in 2026. Are you expecting there to be more regulation in 2026 around these prediction markets? I think what we'll get is more regulatory clarity, which is something that, again, I keep going back to crypto, but we were looking for more regulatory clarity over the course of the last four years. And I think we're starting to get it, or we have been getting it, which is helpful because, you know, again, we're highly regulated. We're very accustomed to being regulated.

16:51it. We like regulation because it lays down the template of what we can and cannot do very clearly. And so when there's ambiguity, it kind of puts us in a strange position with respect to what we want to do. So I'm anticipating more clarity, yes. How big a business do you think prediction markets will or could become for Robinhood? What percent of your revenue do you think you could make up three years from now? Well, if you listen to some of our analysts right now, they're modeling at about a 300 million ARR or annual revenue rate. And I think this whole... That would equate to what percent of revenue?

17:35Oh, sorry. Our revenue is about 4 billion. Okay. Well, just over last year. Less than 10%. Yeah. But that said, I would tell you that there are so many more areas where this can go. Like if you think about some of the, and Vlad mentioned this during the event, if you think about some of the tangents where you can go with prediction markets, they're an amazing source of information and they have the ability for people to do things. Like for example, we have weather contract and in the event that you have a home in Florida and you want to make sure that if a hurricane hits, it's going to protect you.

18:15Insurance can be quite expensive. A prediction market, much less so. And it makes it a lot easier to be able to hedge yourself in that instance. So that's one example. There's so many examples of ways that you can be more precise in your investment thesis going forward. And so it sounds like the way you're thinking about it, it could be more than 10 % of the revenue. Oh, it will be more than 10%. Yes, it'll evolve yes 50 50 50 three years from now of revenue yeah i don't i don't know if i can project that yeah yeah well here i'll give you the i'll give you the counter um you know it's it's a very fast moving business but we also are in a lot of other um businesses that are growing quite rapidly so you know as quickly as this grows we have other ones that are growing equally as fast.

19:11So, well, not equally as fast. I shouldn't say that. This one is one of the quickest, but other ones that are growing at a pace. So it would be probably a stretch to say it's going to be 50 % of our revenue. Let me ask you this. Coinbase unveiled its own features around predictions markets and stock trading as well. Why is Robinhood better than Coinbase? I would just say, you know, we're the original. I mean, we already have scaled businesses in all these areas. So, you know, all the things that they're moving into were already established and have customers there. And, you know, these businesses are, it takes time to really become a mature, accepted, and good offering.

19:59So, you know, there's a lot of competition out there. But we've done pretty well against most of the competition. I think if you look at our overall metrics in terms of, you know, where we are in terms of retail percentage of equity trading in the U.S. and option trading, we're either one or two in every category. And let me ask you this. I know that you got into prediction markets by way of acquisition, I believe. You made a couple of acquisitions that made it easier for you to offer these products. I mean, you guys are huge. Would you ever think about acquiring a Polymarket or a CalShea? I know it's a different business, like you said.

20:37That's the exchange. But is that ever a move you could see coming? Well, we just did a partnership with SIG, with Susquehanna, and bought basically an exchange called LedgerX. So it's a tri-party agreement. and you could really view that as purchasing an exchange, essentially. Now we have to stand it up and do all the work to get it functioning. But, you know, we're always looking at, number one, do we do this organically? Number two, who do we partner with? And number three, is there an acquisition that we would do? And this is kind of a tri-party agreement, which I think is going to accomplish what you just laid out.

21:22And you wouldn't think about bigger acquisitions down the road in the space? I think we always think about them. But if you look at how the business exists today, we have the distribution. We are partnering with the largest liquidity provider. Those are probably the two most important elements here. And then, you know, having optionality with respect to exchange, which exchange we route to. So that if one has a product that is more accommodating for our customers, we can go there. Or if the economics are such that it's more beneficial and we can pass that back to our customers, we'll route to that exchange.

22:05Great. Well, Steve, it was great to have you on the show. I want to thank you for joining us. That is Steve Quirk, Chief Brokerage Officer at Robinhood here on TITB. Okay, a major financier for an Oracle data center is backing away from the project in Michigan. That is according to a report from the Financial Times. Importantly, this facility was being built for OpenAI, which is probably why the market has been quite jittery around the news. I want to bring on Anissa Gardizi, our cloud and compute reporter, to tell us more about what she's hearing. Anissa, welcome back to the show. It's great to have you here.

22:42Thanks, Akash. So you told me after yesterday's show that you are also sick. I did. I'm sick as well. But we're doing the show. We're doing the show. We are here. We got to talk about Blue Owl. We got to talk about Oracle. We got to talk about data centers. Why did Blue Owl back out of this deal? Yeah, so Blue Owl decided not to invest in an Oracle project in Michigan. So, you know, they weren't in a period of exclusivity and they hadn't agreed to invest, but they looked at the deal and they said, hey, this project is not for us. We're going to pass. And that is sort of a shock throughout the industry because Blue Owl has agreed to fund some other Oracle projects that are for open AI.

23:30And so now people are sort of wondering, you know, what did Blue Owl see that they didn't like? And what I heard from sources yesterday was that the terms on this specific data center when it came to the lease signed at the data center and the debt terms that people are talking about were not as attractive as previous deals that Blue Owl had participated in. So they decided not to do this one. And then I've also heard that Blue Owl is a little concerned about potential delays at this site related to the local community there. And so, you know, they did their due diligence and decided not to fund this data center.

24:05There are plenty of other data centers out there. But, you know, this sort of puts into question, are other people looking at this deal also going to decide not to invest in it? So how big a hole was this for funding for Oracle? And could you anticipate another player coming in to fill the gap? Based on what I can tell and like historically how Blue Owl will do these data center deals, If they were to invest in this size of a project, it probably would have been around a few billion. And so they wouldn't be taking the majority of the likely$10 billion site. But a few billion for Oracle is a big deal if they don't have someone else lined up.

24:47We did see the Financial Times report that Blackstone was in talks to invest. But at a project of this scale, you would likely need a consortium of investors. Now, how is progress for this data center going, broadly speaking, on the ground? Yeah, yeah. Just to catch you up, the construction isn't set to begin until 2026. Okay. So we're still a ways away, then. Yes, but it's still a one gigawatt, potentially, site for OpenAI. And, you know, Oracle has been moving all of these projects along very quickly. And honestly, the construction is not going to start until the financing is lined up. So, you know, the finance side of it definitely has to be figured out very soon.

25:29Oracle does say that they're still on schedule and that the Blue Owl decision is not delaying anything for them. But, you know, they definitely need to find people to back this project. And so, you know, I'm wondering how big a deal this is in terms of uniqueness. Is this something that happens often? Because we looked at the stock reaction. I know Oracle is very jittery as it is. So any news can sway investors. But is this happening in the background more often than we think? It is happening in the background more often than we think. And then what is reported? You know, if we reported every time Blue Owl or Blackstone or BlackRock.

26:07Changed its mind and said, hey, maybe not. then that would be crazy. But I think the market reaction yesterday, Oracle is down 5%, is sort of symbolic of the moment that we're in and how much concern there is about Oracle's ability to keep raising funds to meet its commitments. They released in their 10K recently that they have multi-year lease commitments of almost$250 billion. So we're definitely waiting for the mass to make sense and all of these projects to be funded. And I was also talking to a data center executive yesterday who said he's trying to raise money for something related to Oracle, but lenders are saying they're too exposed to Oracle.

26:49So some are backing out. And it's not because it isn't a good project or that they're not a good operator. It's just there's a lot of Oracle data center out there. And I think that's why the market is seeing this blue owl news and reacting the way they did. Great. Well, Anissa, I want to thank you for coming on. That is Anissa Gardizi, our cloud and compute reporter here at The Information. Okay. Lyft shares are up around 40 % this year compared with Uber's 25 % jump. Part of the reason investors have been impressed with Lyft is the fact that the company has turned around its financial profile, generating more than$1 billion in free cash flow in the trailing 12 months.

27:29Roughly two years ago, it was still burning cash. To talk more about how the company plans to keep those finances intact and how it plans to continue to grow, I want to play for you a conversation that I had with Lyft CFO Aaron Brewer and also with our financial analysis columnist, Anita Ramaswamy. Anita authored a column on the company last month, and she is our resident Lyft expert. Here is that conversation. Aaron Brewer, welcome to TITV. It's great to have you here. Thank you, Akash. I'm delighted to be here. Well, Anita and I are so excited for this conversation. There's a lot to get to. So I want to start with M &A.

28:11I mean, Lyft has done some exciting M &A recently. You bought FreeNow, which expanded you further into the European market. You brought TBR, which expanded you more into the luxury chauffeur market. Can we expect more M &A in the months to come? Yeah. First of all, let me start off by answering that question by saying what a privilege it is for us as a team to be here where we are today. If you think back two and a half years ago, where the business has come, it's just incredible to be at a point of financial strength that we can really think about not only growing up, but growing out. And so you mentioned the acquisitions we've done, FreeNow, which has really expanded our footprint in Europe, and then TBR Global Chauffeuring, which is just one of the pieces that really build out that incredibly important sort of luxury and really allows us to serve the business consumer in a much more comprehensive way.

Read the full transcript

29:06It's really exciting pieces of our strategy that begin to come together. I walk you through that because I think it gives you a sense for how we think about supporting the growth of the business. We're fortunate to be in an industry that has incredibly healthy organic growth and lots of opportunity across geos. And so, you know, we're always looking for interesting ways to continue to support that growth. You mentioned the financial profile of the company now, and you guys have done some great work getting yourselves to more than$1 billion in free cash flow for the trailing 12 months. Those two assets, FreeNow and TBR, are they free cash flow positive?

29:45Well, look, when you think about FreeNow and how those synergies will be generated, first of all, it's a nice little business in and of itself. It plays in the taxi space in Europe, which is a premium product. And really what they're great at doing is bringing fleets on. What we're great at going to do is tweak those algorithms that are really going to raise the efficiency levels. And then you add on to that things like our global, our partnerships, which is a huge strategy for Lyft domestically in North America today. We partner with global companies. That's going to expand. Our media business is going to expand.

30:18So there's layers of synergies where we can take that core performance and really accelerate it. The same with TBR Global Chauffeuring. It's an incredible business in and of itself in terms of the top line, its profit profile, its cash profile. You put it on the strength of our overall platform and we have incredible opportunities to accelerate that. So it sounds like both of them are generating free cash flow, the ideas. Both of those businesses generate, they're slightly different levels, but they do today and they'll be positive contributions to our overall cash profile. Right. Well, last question before I hand it over to Anita is, as you think about M &A, how do you preserve that free cash flow profile then as you seek to build out the company further?

31:05Well, look, just the organic piece of the business is an extremely strong ongoing cash profile position. So we expect to convert. We talk about it as a conversion of our adjusted EBITDA. We expect to convert that at very high levels as we look out over the next couple of years. So we see extremely strong runway in terms of healthy cash generation profile. And that's going to support what is our capital deployment strategy. And it's really kind of three foundational layers. One, ample liquidity. This is a hugely scaled business. So ample liquidity to support the operation is incredibly important.

31:43Supporting our growth, whether it's through organic growth or opportunities that we see to accelerate our growth in inorganic means is another piece of that strategy. And then we obviously announced an inaugural share buyback program at the start of this year. $750 million is the size of the overall program, and we'll complete$500 million of that program by the end of 2025. So really around reducing our share profile, ensuring that we've got our eye to that, you know, from expanding investor value is really critical and important. Those are the three layers of our program. Erin, I wanted to ask you a little bit about your rationale.

32:22you know, just staying on the topic of M &A here, you know, what was the customer research and analysis that convinced you ultimately that in these areas of your recent acquisitions, it was better to buy than to build? Yeah, absolutely. So, you know, if you think about FreeNow and Europe, that's a landscape that's an attractive market. Those rides tend to carry higher values. FreeNow had really carved out a niche in terms of aggregating taxi that we found extremely attractive and we thought was going to be a platform for which we could actually add value, right? You want to find that classic one plus one equals three in any M &A transaction.

33:00And we obviously did deep research in the markets. They operate across nine markets. The characteristics of the market, the customer profiles, it's a heavily business-oriented traveler. That's a great profile for us to participate in and accelerate that growth. And understanding, again, what else we can bring to the table that would ultimately be a value, both in terms of the fleet side or the driver side on Freenow, but also to the rider. We think about that very in depth. And then if you think about TBR, global chauffeuring, this is really, again, at the highest end of a premium offerings. We have been focused on a very specific strategy to increase and accelerate the growth and the value at our premium ends.

33:44And in the third quarter of this year, for example, what we've talked about is that growth at that higher end piece of our ride offering was up 50 % year over year, and we're just getting started. So TBR really adds a capacity as we think about in particular targeting that business traveler, engaging with partners around events to provide, in addition to the core premium rides that are available on the platform, really that next level of incredible service that really round out the offering and make us differentiated in the market. So you talked a little bit about TBR. I wanted to double-click on FreeNow a little bit, Erin, because I listened to you talk at the NASDAQ recently, and you mentioned a lot about smaller cities in the US and how these underpenetrated markets in North America have been a great source of growth for you.

34:34FreeNow, obviously, is based in Europe. You guys have also been expanding a lot in Canada. And I just wanted to ask, what are your geographic expansion plans big picture going forward? Today, we're obviously incredibly focused on where we operate. The U.S. and Canada, our traditional markets, still have strong growth opportunities ahead. You've mentioned underpenetrated markets in the U.S., which has been a strong source of growth. And don't forget, even in 2025, we continued to launch new provinces, new cities across Canada. So as we think about 2026, again, a lot of runway for growth. And then Europe really presents a new front for us.

35:11And so the teams, as we closed the acquisition in the recent months, got right to work in terms of capturing that initial, you know, beginning to capture that initial synergy profile in terms of just improving the core way that that business operates. And we're really excited for what comes ahead. So we've got a lot on our plate to execute that we're excited about and a number of different growth trajectories that we're pursuing. So we're very focused on that. I think it's a good time, Erin, to get into a topic that is top of everyone's minds today, especially after our story earlier that Waymo is in talks to raise funding at double its last valuation.

35:50I think everyone is thinking about AVs, using AVs in San Francisco and other cities. You guys actually bought an interesting asset in 2020, FlexDrive, and you've been using it to service and clean some of the vehicles associated with your partnership with Waymo. And I've just been thinking, you know, Uber also, your competitor, has similar partnerships with Waymo, but they've taken a different approach. They use third parties for sort of servicing and cleaning the cars. So I wanted to hear from you, has owning FlexDrive been an advantage, and how has that helped you? We absolutely think owning FlexDrive has been an advantage and will continue to be an advantage.

36:26You know, at the advent of this industry on AVs, which is still, frankly, quite nascent, I think people sort of forgot for a minute that having very high availability of this technology was a critical foundational layer, right? If a vehicle isn't available to be deployed, to be hailed, then you're not optimizing your revenue-generating opportunity. And in order to do that, you need to have incredible operational excellence behind it. We knew FlexDrive was absolutely going to be a superpower, a secret weapon, if you will, in that overall mix and in that conversation. And we have high confidence it will continue to be.

37:08What's unique about it is, yes, it's a fleet management capability. We own over 10 ,000 cars today. We operate in over a dozen major cities with physical centers. So that's important. But what's incredibly important is it's optimized for rideshare. And that's incredibly unique and we think is going to be incredibly valuable as we think about the continued buildout of the AV landscape, as you think about ride hailing in a hybrid world. So it sounds like then with respect to margin structure for autonomous vehicles, I mean, if you look three years out, how do you think it changes your margin structure?

37:46You know, it's interesting because today what you see across not only Lyft and all of the partnerships that we're engaged in, but across the industry, you see a high level of experimentation with many, many different models. That, I think, will continue for certain over the near term. and as people begin to figure out the models and more importantly, figure out exactly where they wanna play. And I'm talking up and down the value chain. I think then that will be the point where we'll come into focus about exactly how it will fall into our overall P &L structure. But what I can say to you is that we are incredibly excited about the advent of AV technology.

38:27We see today that it expands the market. We see that in the cities where AVs operate and have been operating at some scaled fleet. And we know and have high conviction that a hybrid network, so the ability to service riders, incredibly efficiency, whether it's a human driver, an autonomous driver, is going to be the winning model. And so net-net, this is great not only for our top-line growth, but as we continue to seek to expand margins. But I guess as you think about that, I mean, you know, do you think that prices in the long term will have to come up to be able to offset the margins? Do you see the costs coming down?

39:07How do you think about that? You know, if you're talking specifically about autonomous vehicles, you have to go down a laundry list of sort of assumptions and inputs. The most critical being around how will the hardware ultimately scale and where will that cost land? Then you have to understand where will the regulatory and sort of insurance structure land overall. And so there are a number of years here for that to develop so that we know those inputs with a lot more certainty at scale. And I think that will influence ultimately where the pricing dynamic lies in the overall market. That being said, I do think we will reach a point at scale.

39:45It's certainly not going to be next year. it's going to be multiple years down the road where that all becomes much more into focus so that we understand the structures. But ultimately, if you think about whether it's autonomous, human-driven, the hybrid network, this has become really an essential way that people get their transportation needs met. I think autonomous will expand that overall. And so it's critical that we continue to be able to deliver a competitively priced service that delivers very, very high levels of service. I think it's clear that we're in earlier days in terms of AVs, Erin, but one area where you guys have expanded a lot already is by adding all these new partnerships.

40:27You have partnerships with DoorDash, United was one that you talked about on the last earnings call, Hilton, and I just wanted to ask, you know, this affects your long-term margin structure as well. In these sorts of deals, who is paying who? These sorts of deals, you know, generally are constructed where both parties are contributing, right? So you've got a co-funding mechanism. And that's incredibly important because to build durable partnerships, you need both partners to be really in it to win it. And what that means is you go into this understanding that both have a deep interest in, you know, introducing new riders or new consumers to the service, building loyalty, building high engagement, building higher frequency.

41:10And you see that throughout the life of a program with investments, with different campaigns to grow it over time. And Lyft has a track record of doing that very, very successfully. Rides that are tagged to partnerships have grown significantly as part of our overall profile. And those rides, you know, contain very, you know, high quality characteristics, meaning those riders tend to take a higher mix of higher value rides. So they tend to bring higher than average profitability. So deepening our partnerships and continuing to penetrate that opportunity has been a huge focus and will continue to be so as we think about 2026 and beyond.

41:50Can you give us a sense of what that funding split might look like for any of your bigger partnerships, say, let's take United? Yeah, it varies by partner, so I'm not going to go into details, but, you know, it tends to be balanced. And it really also is informed by what stage of the partnership we're in, what cohorts we're going after. So that's sort of the general color that I'll provide. Got it. So moving to another area, Erin, the FTC we got news this week is suing Uber over its Uber One subscription program. And I've heard you guys say a lot before that you're fundamentally a rideshare company.

42:26You're not looking to get into any other areas outside of riders and cars. And I was just wondering, where do you personally spend the most time in terms of thinking about regulatory affairs? I mean, is it insurance? Is it worker classification? Is it something else? Yeah, I mean, first, you know, maybe touch on your initial point, Anita, because I think it's a great segue from what we were just discussing in partnerships, right? So riders on the Lyft platform and the way they engage with partners are very, very different. So if you're someone who loves rideshare and you also love food delivery, we've got the best offering in the industry with our Lyft and DoorDash partnerships, same with United, et cetera.

43:07So we think that's a great model, and we're excited to continue to grow that. In terms of the regulatory landscape overall, it's important when you operate a service that is so essential to the transportation environment that happens with cities that you go into it with a mindset of really partnering, both locally, at a state level, or federally. And that is the way that we have gone about this as a company. We think it's been a winning model overall. It's something we also, frankly, really liked about FreeNow. And so the regulatory environment is present in all aspects of our business. We partner extremely closely and we think about it from the lens of, you know, some of the areas that are more present has been around some of this reform in California around insurance, which we're excited about.

43:57it's going to kick off in 2026. And we think that that could present a canvas, if you will, for other states to do some accelerated, what we view as common sense reform in overall rideshare insurance marketplace in the United States. So Erin, I've got to ask, you're a CFO, you make tough capital allocation decisions every day, I'm sure. What is the toughest one you've had to make in the last six months? I say this to the team all the time. It's also relevant because obviously we are wrapping up some of our planning processes for 2026. We do make tough decisions. And, you know, the team will tell you sometimes it's not fun, but I remind them frequently, I'd rather be in this position than in any other position because we are in a growing, vibrant industry, and we have more great opportunities that would be possible for us to invest against, whether that's resources or capital, than we could probably fund.

44:52So our job is to be discerning and try to be extremely smart about the areas that we invest. So it's always tough, but I'll take this problem over the alternative problem any day. But Erin, what decision kept you up at night last? I mean, we're looking for, was it a deal? Was it an acquisition? Something must have kept you up late trying to figure out if this was the right decision. I wouldn't say that any of them have kept me up in terms of, you know, are we making a mistake or not? What keeps me up is when we look at the different pathways we could take, you know, and what the opportunity is, how do we make sure, given the variety of inputs that we're choosing from the right category?

45:39So, you know, confidential. So I'm not going to go into it right now. But that's where I spend more of my time worrying than, frankly, second guessing or, you know, worrying about a particular decision. It's we've got a couple of very attractive choices. Do we double down? Do we, you know, do we kind of spread our bets, if you will, for where we are? Those are the things that we really think deeply about. Where do you think Lyft is three years from now? Oh, my gosh. I mean, we're just on an incredible trajectory today. I think Lyft is the innovator in the industry. I think we are the service leader in our industry.

46:17I think we will continue to expand that across Europe, continue to expand that across Canada. I think we'll continue to penetrate deeply in our rider-facing partnerships. And I think we will be sort of the poster child for what it looks like to have an extremely successful hybrid human-based, autonomous-based ride-hailing network. So that's where I see us three years from today. Great. Well, Aaron, it is so great to have you on the show. I want to thank you for joining us. That is Aaron Brewer, the CFO of Lyft, and Anita Ramaswamy, our financial analysis columnist, here at The Information. The co-founder and CEO of Axios has a new warning out for journalists, saying, we have entered a, quote, post-news era where information is what matters, not the news.

47:07Jim VandeHei wrote this in a memo shared with Semaphore. The Informations founder and editor-in-chief Jessica Lesson sat down with Vande Hei for a conversation about what that post-news era looks like for newsrooms. Here is that conversation. Well, I am so thrilled to be here with Jim Vande Hei, who has been an outspoken leader in news about what is to come. So, Jim, thanks for joining TITV to tell us about your latest manifesto, if you will. It's always a treat. Good to see you, Jessica. So you wrote this week that we have entered the post-news era. This is a little jarring as a news person, but tell us what you meant.

47:54Yeah, I mean, you have the perfect name, right? It's much more about information now. And if you think about the individual, 20 years ago, 10 years ago, maybe even five years ago, most of how they saw the world was shaped by news, right? But now news is a part of it, but it's also by the podcasts you listen to, the videos that you watch, the people who show up in your social media feed, your social circuit. And to me, this is a huge, huge, huge shift that most companies and most individuals have not grappled with. It's no longer like Red America, Blue America, or we have like these a couple of information bubbles.

48:30We might have millions of information bubbles. where really smart people in close proximity to each other could have pretty different realities based on where they're consuming their content, right? So you and I could both play this game. If you told me how old you are, what you do, what your politics are, I could probably tell you where you get the vast majority of your information. And it's possible that you could be sitting with somebody and they're on a platform you never visit. They're trusting people you've never heard of, following topics that never really come across your radar. That's wild.

49:05That's different. And that has huge, huge, huge political consequences and massive, massive business consequences. And have you seen something lately that you think is exacerbating this? I mean, I think you connected it to filter bubbles, but, you know, to the nth degree. But I wonder, in running Axios this year and in all the conversations you have, are we at some kind of inflection point of acceleration? Or is this kind of just calling a moment that we've been late to call? I think we're in – listen, I think as long as you and I have been talking, we've been in this hypervolatility world. And I think it's about to be put on steroids.

49:42I think it's it's I'm highly confident that in the next 12 to 48 months, we're going to go through a massive platform shift that will move from kind of web and search to something that is LLM based. And you have so many different choices. You have really high quality content coming from people on YouTube, from people with podcasts, from people with sites, people with sub stacks, people like you and I with companies. That means that the whole mix is just different. It is like that's why I say it's post news. And I think most people don't think of news like you and I do because we got into the business.

50:16They just think about how do I get informed? Like how do I take inputs so that I can make really good decisions? Unfortunately, there's a lot of pollution. I think there's more good – the paradox of the moment is there's more good content than at any point in humanity and there's more crap content than at any point in humanity. And for those of us that can make really healthy choices about the inputs, I don't know about you, but like I feel like I have almost a bionic brain these days. because I know who to follow. I know what to read. I know who the smart people are. I know what the right publications are.

50:46I feel like I have more visibility into more things than ever before. But we're also in the business. We know these people. We've hired them. We've fired them. We've read them. We've worked at these places. So we were able to do that. And what I hope to do with Axios is help other people try to get to this approximation of a more bionic brain. Get rid of the crappy stuff. Put in the really good stuff. and you can make much better decisions. Like think about even for you and I, like five years ago, 10 years ago, if we wanted to know what the smartest people in the world thought, like maybe once in a while we got them on the phone, but now all of us have access to it.

51:25All of them are doing podcasts. Well, we know what they want us to think. So, I mean, I think this is part of your theme of being post news is we're also in full-on propaganda. We're also in full on, you know, storytelling. We're in the era of don't let the facts get away of a good story, you know, with some of the most powerful people in the world. And it's not one. It's many of them. Right. I see it in the technology industry every day. And so I wonder for what's the prescription or recipe for news organizations, right, that that are on one hand fighting that propaganda, but also, you know, have to face the reality of declining trust and, you know, even declining visibility.

52:15And I want to get back to LLMs, too, but that's a long enough question. I think you hit the nail on the head. It's a massive problem, massive problem for some business models. But I think what you have to do is you have to do what you're doing, what we're doing. You have to tighten your relationship with the consumer. You have to have this relationship of trust between you and the people consuming your content. And to deliver that, you have to have distinctive content. You have to have distinctive reporters providing things that no machine can provide and that their competition can't provide. And what I think will happen, like you and I spend a lot of our time thinking, what does the world look like in 18 months?

52:54From a news perspective, I think that if you have a company like yours, a company like ours that are built around expertise for very distinct audiences, I firmly believe that that content is going to be worth five or 10x in the new world order what it is today. Because everyone else is going to have equal access to general, high-quality information at their fingertips on almost any topic. What the LLMs and what the individuals will pay for is human nuance, human expertise, human experience, analysis and insight that is distinct from people who've been looking at these topics, talking to the people person to person.

53:31I think that soars in value. So if you're you or us, I feel good. If you're producing generic commoditized content, I felt this way for the last 10 years. I feel it more powerfully today. You're screwed. There's not going to be a market. I printed out the crap trap. So this was, I don't know if people can see here, but nine years ago, Jim wrote in an op-ed for The Information, probably one of our first op-eds, that digital media companies are caught in the crap trap, mass producing trashy clickbait so they can claim huge audiences and higher valuations. And I think you call it, I had to, you know, this was largely a social media story at the time, right?

54:14The social media companies were the distribution channels to Azure. And so anyway, everyone should check it out and we can link to it. But it was prescient to say the least. And you also nailed the rise of video, which, you know, here we are. So obviously that's happened. But I wonder, I couldn't agree more with everything you're saying. I mean, one thing I've been toying with in my brain is, or just struck by the rising cost of getting to the truth and doing what journalists do. You talked about how, you know, there will be value in being specialized. But I think, you know, whether it's just the fact that there's so much obfuscation, so much propaganda, you know, if you survey 40 editors at top publications, 40 will say their legal budgets are significant, are significantly increasing.

55:15You know, the topics are getting more complicated. So the level of reporters you need is more specialized. I wonder what you think of that, and does it play into who wins and loses over the next five years? Well, I think about the cost thing differently. I agree with you. I agree legal costs probably go up, and I think the cost of talent goes up. I think the cost of everything else drops precipitously. Distribution, all that. Everything. Listen, we're not a technology company. We're not necessarily a marketing company. like all of the stuff that sits behind me creating content and you consuming that content, all of that can be automated and I think will be automated in the not too distant future.

55:57That takes down a massive part of our cost structure. I'm sure if you looked at my budget, I looked at yours, we allocate a similar percentage to talent because we're talent-based organizations. A lot. That would be the, a lot. Yeah, but you want to squeeze that other side so you can put the money in the other place. So I think that they, I think it more than evens out. I think these become better businesses that you can run on better margins. But they are really going to very specific people who have like a real desire and demand for high quality content, which isn't most people. Like it's not going to fix a propaganda problem.

56:31It's not going to fix a manipulation problem. And you know and I know that problem is going to be 10 times as bad 18 months from now as it is now. Every new technology, even if it ends up in a beautiful place, we're going to go through hell. Like this spin that the idea that AI is just going to be nirvana, we're all going to be sitting home not having to work and we're learning poetry might be true 10 years from now. It's bullshit in the short term. It's going to have real pain for jobs and it's going to have real pain and conversion. And most humans, when they get a new technology, use it for perversion.

57:01And foreign actors use it for perversion. And so we're going to have to grapple with all that. I believe on the other side of it, it could be big, could be beautiful. But there's going to be real tumult in between there. Okay. So last question. And you're a news org like the information or Axios. You see this AI train coming. What do you do? I mean, I think what we've done is we try to get ahead of it like you. Like we know these companies. We know the principles. And so we've really a year ago, I basically had a speech to our staff and I said, I know you're worried about AI. I know you think it's going to take your job from this day.

57:35Henceforth, I don't give a shit. Like I'm going to equip you as best. I'm going to take your talking points, Jim, and just see how they fly. I tell all CEOs they should do this. People don't want to talk about it. But just tell your people, like, listen, if you can't take AI in any technology and make it a force multiplier of the work that you do and do it right away, not just here, you're not going to have a job anywhere. And so what I said is, like, that's the reality. We gave everybody a free license to use OpenAI as much as they want to be able to use it, the industrial version. And then we said, listen, I want you to spend 10 % of your day just figuring out how to use it to do the specific work you do.

58:15When you have a win, share that with other people here that do the job that you do. And then together, we can at least try to come out in the best possible position on the other side of it. And I think that's what every company should be doing. It's certainly what I assume you're doing. It's what we're doing. And that doesn't mean it's not going to be scary. It doesn't mean it's not going to change the nature of work. It will. It doesn't mean it's not going to eliminate some jobs. It will. But I think the smartest thing you could do is be eyes wide open. The minute you think you can utilize it, utilize it.

58:46And ultimately, I think it helps on the back end. The stupid bet being made right now, I think, is like all these companies investing in producing actual content for the consumer using artificial intelligence. Like your LLM garbage spitting out something to the consumer might work in the short term. Maybe. I don't think it will. But it's not going to be useful in the future in, like, video made up because you have, like, some AI techniques built into it. I just don't see how that's going to have value because the machines are always going to do it better than any media company can. So figure out what do you do better than anyone else and no robot can do.

59:21And if you do it better than anyone else, you will be able to extract value. You've done it. We've done it. Others will do it. It'll be different. It's not going to look like the media landscape of the past. But whatever. That's life. Yeah, well, I love it. And I'll just add, too, that I think publishers have to hold their own ground and recognize that there, in my opinion, aren't really yet benefits to licensing these content to the LLMs for the same reason. There aren't the products that, you know, you can even say would justify the distribution and the money and the growth and the reach for partnering.

59:54I think that one we might disagree because we've done a deal with OpenAI. I think it depends on the economics. Just know what the other company is trying to get out of it. Are the economics good enough for you based on what you think the future will hold? I think I'm right with you. I'm with you usually philosophically on this because I think one of the dumbest things that media companies did was tether their future to social media companies, giving them deals to do content deals or video or shows. I mean, it was destruction. BuzzFeed News doesn't exist, right? I mean, it was like we wasted a decade.

1:00:25Yeah. Yeah. No other company, no other industry would outsource their destiny to a third party's benevolence. That's stupid. You can't do that. And I think that's where people have to be thinking about it. If the deal's great economically and you think it pays off over time, do it. But also understand that we don't know what it needs yet. We don't know if having no deal puts you in a better position to be able to provide distinctive content through an LLM or sit outside of it. And I just got to tell you, Jim, sitting out here in the Valley and talking to these companies, they don't know what they're going to be yet.

1:00:54these AI companies? Are they research labs? Are they product orgs? Are they in the subscription business? Are they in the advertising business? Are they Search 2.0? Are they the, you know, something else? So a caution to publishers, shall we say. But Jim, it's always a pleasure. We've got to do this more. Thanks for joining us. And everyone should check out Axios to see where you wrote more extensively about these thoughts this week. Awesome. And congrats on all your success and happy holidays. Thank you. Okay. YouTube made big news this week with its announcement it will stream the Oscars starting in 2029.

1:01:32And on a slightly different but related note, TikTok is hosting its first TikTok awards in the US tonight, which is being streamed on the platform and also on Tubi. To talk more about the media landscape at large, I want to bring on Anjali Sood, CEO of Tubi. Anjali, welcome back to the show. It's great to have you here. Thank you, Akash. It's good to be here again. So I want to talk to you a little bit about media right now because it's kind of a crazy time. And, you know, in the background, we've got the Warner Brothers Paramount Netflix saga, which is continuing to play out. I think it's anyone's guess as to where this all ends up.

1:02:07But the question I want to start with you is, I mean, what impact do you think this consolidation will end up having on the content and the films and the TVs that will end up being produced in the end? Yeah. Well, it is certainly a fascinating saga. And I think ultimately consolidation is natural and appropriate and expected in the media industry right now. Consumer needs are evolving and we have to adapt. I think the way Tubi looks at it, we have a very diverse and diversified collection of content. We work with creators, some of the world's most popular creators. We work with Hollywood. We work with independent filmmakers.

1:02:48And we expect that there will be even more stories and more storytellers that we will be putting in front of our audience in the future. So certainly there will be implications from consolidation. but I actually think the real story here isn't who buys who. It's how is the future of streaming going to evolve as we see this convergence between social and the creator economy and Hollywood. And you mentioned YouTube, you know, YouTube's got the Oscars. I think Instagram is now putting vertical videos on TV. You've got Tubi streaming the TikTok awards. We are seeing this convergence. And I think it's really going to force all of us to think about how are we meeting the next generation where they are.

1:03:31So I want to get to all that, but level with me here. I mean, do you think this consolidation is good for filmmakers? I think there's going to be fewer players, but the general trends I don't think change here. At the end of the day, the real trend is that we are in an attention economy and there's a battle for everyone's mindshare. And there will be, I think, with AI and other trends, You're going to see just more stories and storytellers that are out there. And for me, I think the question for filmmakers is how do you help every content creator and every story find its audience? And so I actually think there's a real tailwind for platforms like Tubi that are really good at taking a broad set of different kinds of content.

1:04:16Right. And put it in front of the right viewer at the right time so that those stories can find their audience. Like, to me, that's the tailwind that I think will carry forward, not just this month or this quarter, but for the next few years. Right. Now, you mentioned AI. The other deal that has happened since we last spoke is the Disney OpenAI investment. What did you make of that deal? I'm not surprised. I think we're going to see more and more of these kind of partnerships. And I think ultimately it's because there is an opportunity for AI, if used in the right way and responsibly, to democratize storytelling, to enhance creativity.

1:05:01It is the job, I think, of media companies to be willing to experiment and to be willing to figure that out. And, you know, I can tell you at Tubi, we are doing a lot of things using AI to make— Do you have AI content on AI films on your platform? We don't. We don't yet. Okay. But I would tell you we do use AI for a lot of other things, like figuring out how to help you find what to watch. You know, one of the craziest stats is that the average American takes more than 10 minutes to find what to watch every night. Yeah, yeah. I take longer than that. Yeah, I think I do too. And think about like – think about how when you open up, you know, TikTok or Instagram, like if you don't get something interesting within seconds, you bounce.

1:05:43And so I think there's a huge opportunity for AI there. I think with advertising and helping more brands create content, that they can put ads on TV is another big area of opportunity. And then I do believe that AI will make it easier. It'll lower the costs and increase the speed for high quality production. And that can be a good thing for the industry if we sort of navigate that transformation in the right way. Let me ask you this. Would you ever do a deal of some kind with OpenAI? I mean, I don't know what such a deal would look like. I imagine it could be something around, hey, we give access to maybe our filmmakers.

1:06:27I don't know. The sky's the limit here. But would you ever do a deal like that with a model company? I mean, we're different from Disney in that we don't have the same kind of franchise. Right. But it is our responsibility, I think, and opportunity to find ways to work with the biggest AI players to unlock that technology and harness it to enhance creativity. That is our job. You will absolutely see Tubi look to experiment thoughtfully in the space. And like I said, I don't think we'll be alone in that. Right. Okay. So let's talk about the TikTok Awards. They are happening tonight. Where are they happening?

1:07:02Are they Los Angeles? Are they New York? It's in Los Angeles. It's in LA. Okay. Yeah, it's going to be great. We've got, it's a celebration of some of the biggest creators at TikTok with a lot of entertaining talent. Okay, and I want to get to the nominees in a second, but did you have to pay for the rights for this? How much did you have to pay? This was actually just a really more strategic partnership between Tubi and TikTok to kind of expand the audience of people who can tune into the awards. And it's also worth noting that Tubi has been really doing some interesting things with TikTok creators for a while now.

1:07:39We cast TikTok creators in Hollywood films, probably our biggest franchise ever. It's called Sidelined. It stars a TikTok creator who's also a producer. It's had nearly 20 million viewers to date all through viral marketing on TikTok. And as you know, Akash, we've also been bringing creators onto 2B's platform. We have over 10 ,000 creator-driven titles now, and we are working with creators to help them kind of graduate into Hollywood, elevate their long-form storytelling, and really just expand the pie so that they can do more projects, make more money, and be more successful. So I think it's much more of an alignment and sort of acknowledging that convergence is happening.

1:08:26How can 2B and TikTok work together to do that? Do you have a favorite creator that you're rooting for tonight? Do you have to be neutral on this, given that you're the distributor of some kind? I mean, can we make picks? I'm rooting for as many people. But there can only be one winner, Anjali. Everybody can't win. That's the point of the awards show. Well, you know, I will say there's actually numerous winners. There are multiple awards. But I do think, you know, what's interesting about the creator economy in general is there are actually multiple winners because we have such diverse tastes and there are creators that speak to different fandoms.

1:09:05And I actually think this is a common theme you're going to see, I think, not just from creator platforms, but from platforms like Tubi, which is acknowledging that fans have different tastes and needs. And it's our job to help them connect them with the storytellers that are inspiring them. Great. Well, Anjali, it was great to catch up. Thank you so much for coming on. That is Anjali Sood, the CEO of Tubi here on TI-TV. Well, 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. I want to thank Amazon Web Services, who is our presenting sponsor for this production.

1:09:41And I want to thank you for tuning in. We really do appreciate your viewership. I'm already excited for our next show tomorrow. Have a great rest of your Thursday. Bye-bye for now.

From the publisher

OpenAI reporter Sri Muppidi talks with TITV Host Akash Pasricha about OpenAI's potential $750 billion valuation and the internal organizational tensions slowing down ChatGPT. We also talk with Robinhood’s Steve Quirk about the firm's new AI research tools and the surge in prediction markets interest, and The Information’s Anissa Gardizy about the financing hurdles facing Oracle’s newest data center. We also get into Lyft’s financial turnaround with CFO Erin Brewer and discuss the future of the media landscape with Axios CEO Jim VandeHei and The Information’s CEO Jessica Lessin. Lastly, the Tubi CEO Anjali Sud joins to announce its first-ever TikTok Awards.

Articles discussed on this episode: 

https://www.theinformation.com/articles/openais-organizational-problems-hurt-chatgpt

https://www.theinformation.com/articles/openai-discussed-raising-tens-billions-valuation-around-750-billion

https://www.theinformation.com/articles/openais-chatgpt-problem

https://www.theinformation.com/briefings/youtube-will-broadcast-oscars-starting-2029

TITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.

Subscribe to: 

- The Information on YouTube: https://www.youtube.com/@theinformation

- The Information: https://www.theinformation.com/subscribe_h

Sign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

More from The Information's TITV

All 304 episodes
Axios CEO on ‘Post-News’ Era, Tubi CEO on TikTok Awards, Lyft’s Autonomous GoalsThe Information's TITV · 1 h 10 min
Listen in VO