In short
Podcast Summary: WTF Summit 2025 - Paris Hilton on Social Media Strategy, Netflix CTO on AI Approach
Episode Details
- Podcast Title: The Information's TITV
- Episode Title: WTF Summit 2025: Paris Hilton on Social Media Strategy, Netflix CTO on AI Approach
- Date: October 29, 2025
- Host: Natasha Mascarenhas
- Location: The Information's annual WTF Summit, Yonville, California
Overview In this special edition of TITV, host Natasha Mascarenhas interviews prominent industry figures at the annual WTF Summit, focusing on technology and women in leadership. Key discussions include AI advancements, social media strategies, and insights into the evolving landscape of tech startups.
Key Segments
OpenAI and Microsoft Restructuring
- Key Speakers: Akash Pasricha, Jackson Ader
- Key Points:
- OpenAI transitions to a public benefit corporation; Microsoft secures a 27% stake and access to models until 2032.
- Microsoft's clarity on artificial general intelligence (AGI) definitions and how it impacts strategic decisions.
- Microsoft gains freedom to collaborate with rival AI companies and explore new technologies while maintaining a tight relationship with OpenAI.
Microsoft AI Strategy
- Guest: Aparna Chennapragada, Chief Product Officer at Microsoft
- Insights:
- The rapid commoditization of AI technology; builders must adapt quickly.
- The significance of integrating AI in workflow processes, creating resilient AI models, and ensuring compliance and trust in AI offerings.
- The approach of innovating "at the speed of trust" while balancing rapid advancement with user safety.
Netflix AI Strategy
- Guest: Elizabeth Stone, CTO at Netflix
- Discussion Highlights:
- AI's role in enhancing member experience and creator tools; focuses on quality content delivery.
- Emphasis on personalization and the use of AI for improving the creative process without replacing human creators.
- Netflix's competitive stance against tech companies ramping up their investments in AI, focusing on quality and member satisfaction.
Duckbill's AI and Human Integration
- Guest: Meghan Joyce, Co-Founder and CEO of Duckbill
- Key Insights:
- Duckbill combines AI and human assistance to address the "long tail" of personal tasks for users, moving beyond traditional personal assistant models.
- Strategies for making tasks easier for users by leveraging both AI and human inputs, ensuring quality and effective execution.
- Discussion on the challenges and nuances of competing in the AI market while maintaining a personal touch in service.
Paris Hilton's Social Media Strategy
- Guest: Paris Hilton, CEO of 11:11 Media
- Key Takeaways:
- Hilton's emphasis on building a personal brand and maintaining an authentic connection with her audience.
- The importance of social media in engaging with fans and the strategy behind her social media presence.
- Insights on creating memorable experiences for followers and how personal interactions strengthen her brand.
Investment Landscape and Venture Capital Insights
- Guest: Merritt Hummer, Partner at Bain Capital Ventures
- Discussion Points:
- Growth expectations for AI startups and evolving venture capital strategies.
- The significance of establishing strong product-market fit and understanding the landscape for investment opportunities.
- Challenges in recruiting and the pressures on startups to meet high growth expectations in the current market.
Conclusion The episode captures valuable insights from leading figures in technology, focusing on the interplay between AI innovation, personal branding, and investment strategies in today's fast-paced market. The discussions reflect the dynamic challenges and opportunities present in the tech landscape, particularly with the ongoing integration of AI technologies across various sectors.
Note TITV airs weekdays at 10 AM PT / 1 PM ET, available on multiple platforms including YouTube, X, and LinkedIn.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Hello, and welcome to a special edition of TI TV. My name is Natasha Mascarenas. I'm not your usual anchor, and this is not our usual recording studio because we're in the heart of Napa Valley in Yonville, California at the Information's annual WTF Summit, our annual gathering of women across tech, media, and finance. On today's show, we're going to have a jam-packed list of guests who are going to weigh in on their journeys that brought them to WTF. And we're also going to throw to some main stage conversations, including chats with Paris Hilton, the CEO of 1111 Media, and Elizabeth Stone, the CTO of Netflix.
0:37But before we get into the rest of the episode, let's talk about the biggest news over the past 24 hours. OpenAI and Microsoft have finalized their restructuring agreement, with OpenAI turning into a public benefit corporation, and Microsoft walking away with a 27 % stake in OpenAI, as well as access to its models until 2032. Let's throw it over to Akash Pastrucha, who can tell us more with his analysis now that he's back from LA. Over to you, Akash. Jackson, welcome back to the show. It's great to have you. Thanks for having me again, Akash. Good to be here. So look, we've had about 24 hours now to sit on the OpenAI restructuring and the new deal with Microsoft, to sit on the news, to reflect on it.
1:22You're always a clear and articulate voice with some great analysis. What are your thoughts on this now that you've sat on it for a little while? Wow, thank you. Thanks for the compliment. No, I think what I really like about this is clarity from Microsoft's perspective, getting some definitions on the timeline for how long they're going to be able to access some of the ip from open ai as a clear win getting some incremental uh spend commitments from open ai even if the timeline on that 250 billion dollars uh is not yet clear and then the final thing certainly there was always a sticking point akash about when um open ai was going to be able to declare artificial general intelligence, what that was, what the definition was, who was able to say when they actually reached it.
2:14And that triggered some things in the prior agreement. And so to get, again, clarity around what the process is going to look like from that perspective is another thing that I really like about the agreement from Microsoft after a day of reflection. And on that AGI point, what did we learn through all this about Microsoft's perspective on AGI, how far out it is? Sam Altman obviously has maybe some sooner predictions about when we reached that. This was a point of tension that we reported on a lot at The Information. What's your stance on Microsoft's view of that matter now? I don't know if Microsoft's view has necessarily changed at all.
2:59I think if you just look at the incentives of the prior agreement, one of the parties would be more incented to have AGI be reached sooner than the other. And if that party is in charge of declaring AGI is here, then certainly the other party might say, well, why don't we bring somebody else in here to say whether that's verified or not? And again, who knows whether, you know, a third party, an independent third party, you know, the definition of AGI is going to be very fluid no matter who says we've reached it or not. But I don't know if it necessarily says anything about whether, oh, Microsoft thinks it's further out than OpenAI or anything like that.
3:45I think Microsoft probably just views it as a win to say, at least this isn't all up to just the other side of this agreement to say, yep, we've reached it. Right. Now, I kind of want to shift to talking about where Microsoft goes from here. It kind of has a little more freedom now to do deals with other AI companies, develop some of its own technology. What sorts of moves are you expecting the company to make now that this deal has sort of been put in the rearview mirror? Where are you expecting the company to go from here? And I think that teases up nicely, too, for earnings, which are this week.
4:22You know, I'm wondering what you're expecting there, too. Sure. Yeah, I think one of the really nice things here is we are just exiting kind of the exclusivity era and you see it from a lot of the different model builders and kind of the early AI model, frontier model companies, whether it's OpenAI or Anthropic or XAI or otherwise, they are spreading their wings, right? And certainly spreading their dollars around to different clouds and different partnerships. And so I think that that's ultimately going to be a good thing for Microsoft. They still have, I mean, just because this relationship has changed doesn't mean that they still don't have an extremely tight relationship with, you know, clearly the largest AI sender.
5:12And so that relationship remains intact, which is fine. But now Microsoft might be able to go to some of OpenAI's competitors and say, you know, I think it's probably a good idea maybe for you to run, you know, train, run, inference, partner your models on the Azure ecosystem. And now they have a little bit more freedom to do that. On the other side, now OpenAI can pursue some additional product development outside of Microsoft, maybe with some other partners. And Microsoft says, totally fine, but if anything is developed for an API product, meaning that OpenAI kind of partners maybe with another application and plugs in via an application program interface, that still gets to run on Azure.
6:02So Microsoft says, hey, have at it, go develop new products with new partners, and we still get some Azure revenue. So I really like the spreading of kind of the diversification, I guess, of the AI spend for Microsoft as well. So happy to jump into earnings. I mean, we feel pretty positive about Microsoft at the moment. They report tonight. We expect Azure growth to be strong. And it's been strong and driven by what I call cloud 1.0, right? CPUs, people moving workloads away from the customer's basement into Azure's basement or into Microsoft's basement on Azure. And that's been a really, really strong driving force.
6:48for Azure and for Microsoft overall for their results. The other thing I wanted to get your take on is Microsoft obviously in many ways has this rivalry with OpenAI in some respects, even though it now has this giant stake. Google is this other rival in the AI race right now that, you know, I've been sort of curious to watch how that story plays out because Google is obviously developing their own models and they have their own enterprise products now that they're developing and launching quickly. What's your take on the Microsoft-Google rivalry and how that is playing out right now? I think that they still remain in different segments of the market when it comes to interacting with people's work lives, right?
7:40If I think about the office ecosystem for Microsoft, it is ubiquitous for enterprises, mid-market, and even into small and medium-sized business. But Google, for their competition against Office, really has been more for small and medium-sized businesses or certain kinds of businesses, like creative professionals and things like that. So I still see them as mostly different and competing in different segments of the market. Even with the enterprise products they've released? Well, yeah, it's a good point, Akash. And that's what I was just going to bring up, that if Google is able to use artificial intelligence to accelerate their move into the enterprise or kind of get their tendrils into more enterprise customers first through google cloud then for gemini use cases and then maybe they're able to bring applications into the enterprise that would be um that would certainly be a competitive threat i just don't see that is a long road ahead and microsoft has an extremely wide and deep moat uh for for not just office but or a number of different business segments that they sell into the enterprise that Google is going to, you know, that would just be very difficult for Google to penetrate.
9:15Right. Well, it's a fast moving story and we've got earnings this week and a lot more information is going to come out. So we will be closely watching. Jackson, I want to thank you for coming on. That is Jackson Ader from KeyBank Capital Markets. And now I want to turn it back to Natasha for more coverage of our WTF Summit.
9:37Okay, and now we have Aparna Chana Purgada, a Chief Product Officer at Microsoft. Aparna, welcome to TITV. Thank you, and thank you for getting my last name just like that. Oh my gosh, as a mascarinist, I absolutely understand, and I'm so happy to be here. Before we get into today's questions, I have to ask, big news that OpenAI has completed its restructuring with Microsoft. How does this change the way that Microsoft can build AI models forward, going forward? And anything you can tell us about the deal? I mean, Satya said it well this morning. We are going to continue to kind of work on a multi-model, multi-modal kind of a system, right?
10:13Like just for us, I think we've always been a platform and a system company. And this is just like the next chapter in that story. Has anything changed about the way that Microsoft priorities frontier models or other AI applications given this deal? Or is it going to change? No, no, no particular comment there. But I would say I'm really excited about kind of like the my area, which is focused on work. And like, how do you make these agents work more for you at work? Yes. Well, that feels like a huge theme of our conference this year, honestly. I know we're going to be talking about it throughout, but I would love to just start on a really basic note.
10:48What does your life and day-to-day look like? What is the biggest challenge that you have even been dealing with today when it comes to OKRs, deliverables, and things to sort of crank out with the team? This is a three-hour conversation. I know. I know. Give us what you can. No, I'll try to condense. I'd say like, look, I mean, the number one thing, I've been through the internet shift, the mobile shift. I was at the forefront of all of these things. And folks say, oh, like, is this time different or were you just not born then, right? Like, and I have to say in some ways it's the same, which is, you know, this excessive and kind of like unmodulated excitement, but all in good terms about at all layers of the stack, right?
11:30So infrastructure, middle layer and applications. But I'll tell you two ways that I'm finding it, and I think our teams building in this space are finding it really different. One is, I often say this, you know, yesterday's magic is today's commodity in AI. So the whole technology diffusion, if you think about like phone, I don't know, what was it, the Wall Street, the giant brick phone was in the 90s, right? And then, you know, my uncle in a small town in India got his phone, well, two decades later, right? But now that whole technology shift is compressing from decades to months. And so that's happening on the tech side.
12:08And user adoption is happening in months, which means that as builders, we are just running to stay in place. Oh, my gosh. I know. I mean, rethinking the work stack, what is at danger of getting commoditized right now? Where do you see it not being worth spending your time trying to build a new AI product? because there's either good enough solution or it's simple enough that AI is already doing it versus where you would put in some of your more cutting edge resources. It's a good question. And I think that answer keeps changing too. So like I remember, you know, I talk about this as the six finger problem.
12:43I don't know if you remember, Natasha, two years ago when these image models came out, they're amazing. You could text, I don't know, like say generate an image of an astronaut on a bicycle and it would do it and we were all wild. Except like sometimes the humans would have six fingers, right? And so we actually dealt, and many other teams across the industry said, oh, let's over-engineer to solve those quirks in the model. And six months later, the model eats that. So the model eats the product, as I like to say, in many, many different areas. and where it doesn't yet and the kind of the invariance where I lead the teams to invest.
13:20And I'd say that's true for startups as well as like big companies is wherever you have kind of a deep enough workflow that you're solving end-to-end, right? Integration is a real moat and kind of going back, not just solving a one-shot answer to a question because that, no matter what you do, the models are going to keep getting better. But if it's a workflow, end-to-end workflow that you're able to do and piece together a few bunch of tasks, preferably with some human inputs, then that's a bit more resilient. That's one. I'd say the second thing is, this is just my personal experience from looking at work stuff, is that trust and compliance become really, really important because right now it's Wild Wild West.
14:04And you don't want your data as if you're in an enterprise, you want kind of enough guardrails and compliance and security and safety to be one of the pieces. And if your solution doesn't have that, then again, like you're no better than a raw model usage. Does that feel like the angle you're really prioritizing for coming from a company like Microsoft? Because I think about some of the younger startups I speak to, startups I speak to all across the board. You're also a startup, but just not that young. It doesn't look like it anymore. But yeah, I mean, how do you think about competing with startups and making sure Microsoft isn't just, you know, building another layer that can get automated away?
14:40I mean, I'm sure, you know, history helps in this moment, but so does speed. And I wonder how you balance those two things. It is. It's fascinating you asked that. To me, I think previously there used to be this dichotomy, which is either you're a small speedboat as a startup or you're this cruise ship. I actually feel that it's kind of somewhere different. It's that there's a third place. So in Microsoft, one of the phrases I often use is, you know, we've got to innovate at the speed of trust. So there are places where we want to move fast. So, for example, I think we built these agents. One of them is called Researcher, which is, hey, how do you actually connect all these pieces of work, your meetings, emails, et cetera, and join it with the external world?
15:19We went fast. Like the moment the models came out, we built that. But there are areas where you're saying, hey, if you're doing something on behalf of the users, we've got to be very careful. So, for us, it's like a three-legged stool, right? So, one is, of course, bring the most advanced intelligence. That's table stakes. The second leg is this trust and compliance and do it in a way that the data is protected, the governance, security, and compliance. And then there's a third leg that we are seeing as Microsoft that our customers give very positive feedback on, which is we're trying to meet them where they are today and tomorrow.
15:55So if you're already in Excel, we'll give you a really smart agent mode to be able to help you navigate. I'm not Excel proficient at all. You need to check this out. Or actually my favorite one, as mundane as it sounds, we use it all the time at Microsoft and customers say that too, is that you're in meetings. And previously there used to be this FOMO that people would have and saying, used to joke saying meeting tourism. If you miss a meeting, you're kind of like, oh, what happened? I need to have been there. But now with the recorded meetings and transcripts and Copilot will give you like what action items, what's the drama you missed, everything.
16:29Okay, great. Yeah. And so you don't need to be part of, in fact, you're better off not being part of the meeting because then you have your like trusted. co-pilot tell you what the important pieces were versus the guy who droned on. So that's, yeah, the future you see is, yeah, I want to talk more about Researcher, the project that you're working on, and where you see customers drawing you guys and where you don't see them drawing you. When I think about what a executive may want from their tools, that's really different than a junior developer that might be figuring out coding. So for you, are you focusing on one end of the spectrum, all ends at the same time?
17:02How do you sort of balance those different? Super, super interesting question. And I'll tell you, like, the mental model that we have is almost like a pyramid, right? So there is these shallow, broad, powerful tools that we think every employee in an enterprise needs. Being able to answer questions, find information, we all need it, right, regardless of our roles. So that's kind of the base of the pyramid. Then I think actually what we're seeing from customers is role-based agents or role-based use cases. So if you are a developer, of course, GitHub agents are, you know, indispensable. If you're an analyst, all the Excel features are very, very useful.
17:36The researcher is also one of the agents that we are building. And think of this as, you know, today's CEOs have like a team that briefs them, right? If they go to a prospective customer, another CEO, they're like, oh, here's the latest on earnings call. Here's the last conversation you had. Here's the last conversation the COO had and so on. But that is the tool that we want to democratize for a lot more people. For every salesperson, equip them with this research and say, you want to close the deal? Don't just look at the external information about the customer, which a model will get. But combine that with, oh, what did the previous sales guy say?
18:12And what is interesting is one of the customers put it this way. He's like, oh, you're marrying the world's information with the brain of the company. It's the memory and brain of the company. It's not even the individual person because some of the information might be preceding this sales guy. Yeah, yeah, yeah. So I think for us, it's a pyramid is everyone gets some tools, then role-based, some specific tools. And then there's a tip of the pyramid. You are right. There are decision makers or executives or even just deep specialists that may need very, very specific tools. Do you think we're an agent overload, though?
18:48I think that there's a different agent company launching every day. But also, yeah, like you said, a lot of the bigger companies are launching different ones to meet customers where they are. So one, are we in an overload? And also maybe to end, do you think we'll have more agents in the future or less in the future? You know, if you had asked, I don't know, folks in late 1990s, are there too many websites? And I'm sure people would have said, yes, there are too many websites because there is no search engine to kind of like go through, go over that. And there was no organizing layer. So I would say the answer to both of these questions is yes.
19:21I do think there's an agent overload, partly because anything and everything that has a little bit of reasoning and some kind of autonomy is branded the A word. Right. I do think there is we are going to see a lot of really interesting narrow but somewhat autonomous agents. And everyone's kind of a bit too excited about the broad general autonomous agent, just like self-driving. I think that's a while to go. But we will see and I am already seeing like super narrow verticals, like an agent that just does expense reporting, for example, but autonomously. That is, I think, going to happen. And yes, I do think that there will be way more agents.
20:00Well, beyond the A word, what are you hoping to sidebar on during this conference? What are you hoping to hear from others on just so we can make sure we ask about it? Oh, awesome. I am really looking forward to how people are actually using AI individually and at work, because I think that like not enough gets talked about the real sound of click that everybody is feeling, but only a few use cases get talked about. Aparna, thank you so much for joining us at TITV. This was awesome. Awesome. Thank you for having me. Thank you.
20:31Next up, Netflix CTO Elizabeth Stone was on the main stage last night talking about the media landscape. Here's what she had to say. AI is, I'll make a strong statement, which is AI is only interesting to the extent it improves the experience for members or for creators. That's not new for Netflix. So thinking about the long history of using machine learning and AI for personalization, for certain of those tools that I mentioned that our studio productions have been using, that's a familiar area for us. So now think about Gen AI as that's an advancement in what this technology can do, but same lens that it's only interesting if it gets us higher quality content that improves the member experience or as a tool for a creator to help them bring a vision to life.
21:22So those are the areas where we're participating in that. So an example on the member side is that conversational search experience that I mentioned, where all of a sudden natural language can be used to give context in the moment of what you're looking for. that is remarkably hard if you think about the way we approached recommendations with previous versions of machine learning or AI. It introduces new technical challenges, but it opens up possibilities for experiences that we couldn't have easily delivered before and hopefully improves that personalization or how immersive it feels to be watching something on Netflix.
21:58On the creator side, the creator ecosystem is such an important partner for Netflix, And it's very familiar to us to think about what are the sets of tools or data or products or tech we can bring to help a creator bring their story to life. Same with generative AI. So it's creative led across any of the productions that are using those tools today. And we've given examples where we can get to bringing a story to life in a way that wouldn't have been possible prior to the tech. So you can create some visual or a creator or filmmaker is able to look at what the creative will be before even getting to shooting a scene to make sure that that vision is what they were expecting.
22:41Some of the de-aging or re-aging in partnership with actors and creators. All of those things are things that are sort of elevating the story but not replacing the creator, the human that's behind it. So it's new tech that feels in some ways familiar with Netflix's strategy. so and we're not going to focus on it tech for the sake of the tech it's tech for the sake of the better higher quality outcome has netflix drawn a line like how it could be used in productions like other studios had like could uh one of your creative partners say i'm gonna just do an entire film using ai not use actors not use we follow what creators want in the the vision they're bringing to life.
23:26We give access to a whole set of tools, some internally built, many of them externally built. We published a set of production guidelines, which give some best practices, some different information about how data is used by different tools, and certainly a lot of support to use them. But each creator and production makes their own choices. So we see some creators who are very, very exploratory, want to see what's possible and kind of push the boundary. There's other creators we work with who prefer traditional methods, and we support that full range. So there's been a lot of talk about more tech investment going into the video business.
24:06You've got David Ellison and Paramount with his, you know, Oracle relationship saying that's going to be a focus. What do you make of that? Does that make you nervous, the idea that, you know, others are really looking, others with AI experience, I guess, are looking to ramp up their tech stacks? We want to be the best choice, but we have never been the only choice. So that's another familiar feeling to have strong competition coming from many directions. I would say that competition further fuels our focus on how do we deliver the best for members and grow how interesting we are as a subscription business.
24:52The flavor of that competition has changed over time, for sure, across traditional media, ebbs and flows of that, tech companies entering the space. But we have a really long head start and a lot of strengths that come together. So to the extent that we can continue to further that head start across content, technology, recommendations, monetization, we're going to keep running in that direction. And that's the thing we have control over, which is how much better can Netflix be for members?
25:29Okay, I am now sitting down with the co-founder and CEO of DuckBell, Megan Joyce. Thanks for being here, Megan. Thanks for having me. It's a full circle moment because last year at WTF, we had two of your investors on stage the first night. And when they were asked about consumer technology that was inspiring them, they mentioned Duckbill. So here we are having you live at the summit. So tell us what Duckbill does. It's been quite a year since then. Duckbill is truly the personal assistant for everyone. And we combine AI plus humans in the loop to offer real world leverage. So getting stepped on on the long tail of your to-do list for the every person.
26:07And the critical thing that you need to know here is that it still requires people in the loop to get stuff done on your to-do list. And so what we've been able to create is the first AI native marketplace, the Uber for everything else, to actually get stuff done and give you the relief that you deserve. Okay, well, that sounds very relaxing. Tell me specifically, like, what kinds of activities are you helping people out with? Is it everything from answering emails to walking the dog? Where do you sort of draw the line right now? Yeah, well, busy people are sick of point solutions. They have enough on their plates.
26:42And what they've really told us they need is a place that they can dump their mess. They need to come to us with the medical and wellness appointments, travel, events and activities, finding the right advisors, all those things that plague you, that you've been dreading and procrastinating on your to-do list. We're the one company that you can bring your mess to and we will sort it. Duckbill takes it and develops it into the kind of clean task that an F1 pit team could handle. It parallelizes and simplifies so that through a combination of AI and humans in the loop, we can get it done just as well as you would, if not better.
Read the full transcript
27:22Okay, and so I'm thinking you're working with pretty picky clients. So where are you seeing AI automate and where are you seeing people say, no, I definitely want a human to do this, but I don't want to handle it? Do people have that level of specificity or demands when they come to Duck Bill? Look, consumers should be picky. Yeah. Especially when it comes to your personal to-do list. The number one thing that you need to understand and I need to understand every day about this personal assistant space is that the holy grail of the personal assistant for everyone that everyone is chasing cannot be solved by AI alone.
27:57How did you realize that? Like that AI couldn't do everything. It's a crazy question to ask because one could think it's obvious. But, you know, I'm seeing a different pitch every day out there. You know, I just saw a TikTok from an influencer who was saying that Perplexity Comet helped them book everything from their flight to their hotel to try out a new restaurant opening without touching their keyboard. So, yeah, you know, where does that, again, where does that line draw on? How did you realize AI couldn't do everything? Yeah. AI is amazing at the things that you can do digitally. And a lot of our lives are online these days.
28:26And so we leverage all the AI solutions that are out there. And by the way, they are becoming increasingly commodity, increasingly affordable to just plug into your system and rip. The unique difference is that for all those things that happen offline, the mom and pop vendors who only respond to phone calls. And by the way, phone calls from phone numbers that they recognize. The camp forms that have to happen in pen and paper or are completely different one camp for the next for your multiple children. The discussions that need to happen with real people on the phone, the negotiations with customer support reps, all of those things are things that happen in the offline world.
29:07And that's where the hard stuff is. We find that if it can happen digitally, there's probably a pretty good point solution out there already for you. And if not, you can do it through AI pretty easily. The magic comes when we give you leverage in the offline world in a way that allows you to get stuff done as cheaply and easily and key high quality as if you were doing it digitally through AI. And are you monetizing based on how much someone does or doesn't have to touch the keyboard when they're trying to get a task done in terms of effectiveness? Yeah, walk us through the monetization and any numbers that would be helpful too.
29:41Yeah, so the average person who comes on our platform either comes on and tries one or two ad hoc tasks and is hooked or signs up for a subscription so that they can have more of an all-you-can-eat feel. This is really a product that creates a habit out of the gate. And the more people use it, the more they love it. And we pride ourselves on that smile curve of increasing usage over time. That is our bread and butter. That is what we wake up to drive every morning. And it's a sign to us that this is truly working. And so when you come online as a subscriber, if you come online as a customer, you start with your first task, second task.
30:18And the more different use cases you try, the longer and more valuable your relationship is with us. Because we can actually start to give you that leverage that a true personal assistant would give in the old world. Yeah. And so when you're thinking about monetizing a new habit, that's where I really want to click into because that to me feels a lot harder to do. People are used to paying for Instacart because it is one clear end-to-end experience. In this case, it's both things you want to do and things you maybe don't know you need help with, but will get help with. Yeah. So yeah, tell me a little bit more about how the cost structures work and how you guys are doing revenue-wise.
30:54So the sneaky reality is that people have been buying their time back since the beginning of time, right? Like to be totally candid, having a spouse who stayed at home and allowed you to have a very fulsome family life was a way that a lot of people, frankly, a lot of men bought their time back for years. And, you know, there was everything from the true personal assistant to having a Peloton in your house that allowed you to get time back. Uber, DoorDash, that's all about convenience, getting your time back and living the life that you want to live. And so buying your time back is actually not a new thing.
31:29Talking to people about using technology for your personal to-do list, that is the new thing. And what we find is that human behavior is notoriously hard to change. The one exception is during a technological revolution. That's when paradigm shifts happen. And my guess is, as a former Uber executive, most people could not imagine 10, 15 years ago opening up their phone and requesting an unmarked car with a stranger to come pick them up on a dark corner to drive them home safely. And today it happens by the millions. That's Uber, that's Lyft, that's ride sharing. And so as we're shifting behavior, we are seeing that happen at lightning speed in this era of AI where hundreds of millions of people are trying these AI agents and paying for search in ways that we never thought possible before, the change is really happening pretty organically.
32:20And it's spreading through word of mouth. The more you hear your friend is using this, the more you see the examples of your college roommate or your sister, faster that behavior changes for the subsequent concentric circles of adoption. I was going to ask about customer acquisition growth, a classic consumer question. Is that getting easier, cheaper, or how are you thinking about investing your dollars? Honestly, one of the reasons we loved this category is because the demand is there. So to date, we have grown almost exclusively by word of mouth and referrals, which is next to free for us. That is our number one sign that we have something.
32:56And it is such a signal of positive product market fit and the fact that we can scale this thing in a really robust way. As we start to get out into paid advertising, paid marketing, we actually have a really healthy LTV to work against because when you build that habit, when you do have people who are paying for a monthly subscription, and then additional transactions above and beyond the subscription that they're making on the platform. So buying flights, booking appointments, all on your platform. You have a lot of margin to play with. I was going to say, so you can kind of, is it crazy to assume that one day someone books a United flight through Duckbill and you get a revenue share agreement going or something like that?
33:38Absolutely. Okay. Right? Like, Everybody is looking for ways to plug into these new surfaces, both the LLM search engines and AI agents and Duckbill alike. And so when you buy a flight with us, we're not guiding you based on any kind of commission structure. But if you do and we're able to monetize that, that just subsidizes the subscription rate and makes the product more available to more people. And then you mentioned sort of other AI companies in the space. Like I said, Perplexity Comet has been trying to do work here. Talk to me about the landscape, you know, becoming more autonomous, more agent forward.
34:14It feels like everyone in Silicon Valley is attacking this problem. Yep. I want to know what you're doing differently, but I also want to know what you've had to change about the business in the past year to respond to this increased pressure. Yeah. So this came out of the inspiration of my years at Uber looking at autonomous vehicles. I had a stump speech that I used to give back in the 2014-2015 era where I said, my kids will never get their driver's license because autonomous vehicles are going to be ubiquitous. And here we are 11, 12 years later, and there are more Waymo cars on the street than ever.
34:47And autonomous technology helps us parallel park and, you know, drive safely every day. It's there. But the reality is there are still human hands required to be on the wheel for the vast majority of miles driven in the U.S. today and around the world. And that's because the real world is messy. And the platform that Uber built, combining technology plus humans in the loop, was wildly powerful because it not only allowed real people to access this product before autonomous technology was ubiquitous, but it was able to collect data that informed getting the product better and better over time, whether that meant integrating autonomy or not.
35:25That is the exact thesis that we're pursuing at Duckbill. So unlike the pure AI alternatives, we combine AI plus humans in the loop. And therefore, not only are we able to do the things that AI does on its own, book a dinner reservation at someplace that has a digital online booking platform, but we're also able to loop humans in for kind of ad hoc phone calls for which we don't have automated calls, confirming that the restaurant can handle someone in your party with a peanut allergy. Got it. And in the future, we can actually direct that resource to ensuring that when you're on your way to that peanut-free dinner and your car breaks down, someone can show up and wait with your vehicle while the tow truck comes so you can get ahead to your dinner because it's your best friend's birthday and that's really important.
36:10The ability to combine AI plus humans is what allows us to tackle that long tail of your to-do list. And we are the only ones who have it. Okay. And we are two years ahead. And it came through blood, sweat, and tears of figuring out how to combine AI plus humans in the loop. It has been an incredibly hard problem to solve, to your question of how we've pivoted over the last few years. Really getting that right has been the problem that we wake up every morning to solve. And over the last several months, we've realized we have it. And that is our secret sauce. I mean, it must be a great feeling.
36:46Can you share how many customers you guys have today? How many of these doers or contractors you're working with? So let me put it this way. At this point, we have millions and millions and millions of real world tasks that we have done on our platform. Okay. And that has allowed us not only to get really good at what we do, but to continue to make the system better and better by the day. So all of those millions of data points we're pouring back into the system to not only make our AI models better and our triaging better, but to also ensure that when the human does get the baton, they're handling it as seamlessly and high quality as possible.
37:23There we go. Well, I will end with a question about the summit and what you're looking forward to. What are you hoping to sidebar with someone about? So I think right now we are all looking forward to this future and really wondering what it's going to look like. And the concern that I have is that the future is being created today by a lot of people who have a vision of the future that, frankly, I don't want to live in. I wake up every morning and think about the version of the future that I want to be a part of and I want my kids to be a part of. And what I'm really excited about is sitting alongside a lot of other people who have alternative visions of what the future could look like and are actively building toward that every day and to figure out how we can work together to make that a reality.
38:04Driver's licenses or not, I am very here for that. There we go. Megan Joyce, thank you so much for joining us on TITV. Excited to hear more about Duck Bill in years to come. Thank you so much for having me. Thank you. and now let's head back to the main stage where Paris Hilton the CEO of 1111 Media joined us last night to talk about the trajectory of her business here's what she had to say I feel like I've always been very ahead of my time and you know I was doing what they call an influencer today before there was even a word for it and I think it just because everything has really just been so authentic, like everything I do in my life and what I choose to do is things that make me happy, things that bring sparkle to the world, and also knowing what I wanted to do and realizing that at a young age, just being very close with my grandfather and always having lunch and dinner with him, and he was my business mentor, and I always really looked up to him and saw what my grand grandfather and he did with the Hilton Hotel brand.
39:10And that's when I just thought of like the power of a personal brand and that I could do it as myself. And another important thing to me was to be known as Paris, not just the Hilton Hotel granddaughter. And one day when I was having dinner with my grandpa, he said to me, you know, I used to be known as Baron Hilton, but now I'm known as Paris Hilton's grandpa. That must have felt good. It was, yeah, it was something I'll never forget. Such a special moment for me. And I'm just so proud of all the hard work and everything that I've done and always leaning into what I love, what I believe in, and what is going to make the world a more fun and slithing place.
39:52So walk us through how you use social media today. I've heard through the grapevine that you're very involved in your social media, understanding it, analyzing it. There are probably a lot of lessons for all the founders and brands and the audience in that. I am obsessed with just everything to do with it. Like I love going on TikTok, on Instagram. I love reading all the comments from everyone. I have a very close relationship with my fans. They call themselves my Little Hiltons and they are all around the world. and we just have this very, very close relationship. And I love that I'm able to contact them all around the world.
40:33So if I'm ever doing either a performance or a different, you know, like a perfume signing or something for my book or whatever it is, I'll always make sure to invite them. I'll even get them a hotel at the Hilton and they'll be staying there and then come with me to all the meet and greets and the parties. So it's really fun just to give them these really special, magical moments. and another thing I love to do is I search like hashtag Paris Hilton a lot and I just see so many people leaving so many amazing messages like after they've read my memoir or they just saw me do an interview or something and they just have these incredible stories where I'll just sit for hours and just like watch and cry and just be so touched by everything they say and then I always do at them back or I DM them or leave a voice note or send them a gift.
41:25So I really love that I'm able to have like a serious like contact with people all around the world. And I think that's exciting where you can just really utilize it in such a way. And I just do it in a way that it really comes from my heart. And I think that's what really resonates with people because they know it's not, you know, just a social media manager or somebody doing it. They actually know it's me. And even though I'm the busiest person on the planet, being a mom, all of that, I'm such a night owl. And I think with my ADHD, like my mind is just going in a million directions all at once.
41:58But it's hard to sleep at night. But the one thing that I do at night is that just connecting with my fans all around the world. All right. Now I am sitting with Merit Hummer, a partner at Bain Capital Ventures. Merit, welcome to TITV. Thanks for having me, Natasha. I want to start with the lay of the land. I feel like summer was absolutely insane, and now we're heading into end of the year. How busy are you? Is everyone trying to cram deals before the holidays start? The short answer is yes. So it is a frenzy right now. It feels like every day we're hearing about another company that went zero to 10 this year that's raising.
42:35So the task right now is figuring out how to separate signal from noise. Oh, my God. Yes. And you're in growth stage investing. So you actually have real numbers and real data to look at. So tell me a little bit about, you know, what you focus on. So you're focusing on B2B enterprise software. That phrase has meant so many things. In the AI era, what does that look like? And yeah, tell me a little bit about how you are delegizing companies in this moment, too. Yeah, so we focus on both what we call inception stage investing at Bank Capital Ventures, which is we have a team dedicated to seeds and series A's.
43:10And then we also have a team dedicated to what we call inflection stage investing, which covers the series B through D range. And that's where I focus and lead deals. And I think you're absolutely right that on both sides, we're going through a time of change. And I think that all the paradigms we used to think about for enterprise software investing in the past are really being overhauled right now. and ways of thinking about enterprise SaaS and what great looked like no longer apply in some cases. Actually, today we had an offsite and we revisited a framework we had from three years ago to think about what an excellent company profile is.
43:50And we realized that it's become obsolete. Tell me more. So is it like you're seeing, you know, okay, 100 million in ARR is the baseline right now and the starting valuation for a Series A is$500 million? Like, where do the numbers change? Yeah, I think the reality is AI has created so much market pull for certain new tools that are coming out that the expectations around growth have gone up. And the bar for how quickly companies need to grow to command a lot of investor attention has just risen. So, you know, a year ago, two years ago, it might have been a really great year of a company in inflection stage grew from$2 to$6 million of ARR.
44:29Now it's not unusual to hear about a company that's growing from zero to 10 on its way to 30 or 40 or 50. And that now defines sort of the top decile opportunities out there that we see. Yeah. I mean, I saw that you recently backed a company, Pylon, that ended up raising their Series B in seven days. How do you even start doing due diligence in seven days? Walk me through what that process looks like as specifically as you can. Yes. Well, I'm happy to do it. And actually, you know, the founder, the CEO and co-founder, Marty, likes to document his fundraise processes on X. We're back in building public.
45:06Yes. We're back in building public. And he's a great marketer. So if anyone wants the details, he also has talked about this publicly. But in short, the truth is we've done a lot of work before those seven days. And so it's not that from a starting, we start on day one and by day seven, we've built conviction. Our approach is to do a lot of homework before we even meet the CEO, before we even meet the team, so that we go into that meeting with a lot of conviction. That's what we did in Marty's case and Pylon's case, and that's why we were able to move really quickly and issue a term sheet. With Pylon and with just generally actually thinking about that pre-work, I'm always fascinated by this concept.
45:44I've written a lot about preempting and just like, you know, meeting someone and giving them a term sheet without any questions asked. How does that dynamic play out at a place like Bain Capital Ventures. You guys are not a new firm by any chance. You have a great track record. Do you have to also be that aggressive or are you able to sort of have a conversation with the entrepreneur as crazy as that sounds? Yeah, no, we absolutely, we will not compromise the integrity of our decision-making process. And so we do think we can operate, we do operate on accelerated timelines, but we don't skip any steps along the way.
46:17So in that compact seven days, we had multiple partners on our team meet with Marty. We did an investment committee. We circulated multiple rounds of materials for everyone to review. We received data from the company. We digested that. So we followed all of our steps. We just did it in a really compressed timeframe. And so that's how we operate. And we ultimately still make group-based decisions. And so no one on our team has authority to just issue a term sheet without the collective support of our team. Okay. And is it the kind of thing where you need everyone to say yes or can it be a mixed bag?
46:47It can be a little bit mixed bag. We can, you know, it's, I would say it's, it's, if you think of, you know, so independent operator to fully consensus based on one to 10 scale, we're sort of a seven or eight. So we don't need full consensus, but we need collective support and blessing from the team. Okay. Feels, feels right in this moment. And you mentioned sort of the compressed timelines. 996 is another, you know, topic I've been thinking a lot about in this moment. I mean, are you working 996? And also, how is that translating to the ways that you're seeing companies grow in this moment? Because I'm sure even if you're not, your founders definitely are.
47:23Yeah, absolutely. Or at least I think the ones who feel most energized by this moment are and who feel the pressure to keep up with the competition in their respective categories. So absolutely, I think it's a real thing. I think we see it across our portfolio. I think our investment team feels it, and we operate that way as well. And so I wouldn't go so far as to say it's strictly 996, but we will do what is necessary to pursue the best opportunities we see in the market. And if that happens to be 996 one week, then so be it. Are they having trouble recruiting people to do this work style, or is it becoming the new normal for AI companies?
48:01I think how I characterize it is I think within certain roles at certain types of companies, it is normalized. But I think there is space for people who work differently, you know, people who are in different roles, maybe remote workers, people who have families, you know, I think there is space for people to work differently. But with the backdrop of the reality, the expectations are very high right now. But I think the best recruiting strategy for Pylon, for anyone else for that matter, is to get the best people in the door and adapt to what they need in their lives. Yeah. I mean, and like you said, it's extremely fast moving.
48:37It's extremely competitive. I mean, I wanted to ask about the big tech companies in this moment. OpenAI, honestly, being one of them, you know, they're trying to do everything from being, you know, your Salesforce alternative to maybe your calendar one day and your Google Docs all in one company. When you're thinking, you know, about how to advise your founders building software startups, are you looking at OpenAI as a distribution channel? Are you looking at them as a platform risk? How do you tell your startups to deal with some of the bigger businesses? Yeah, I think one thing that's important for founders to keep in mind is you probably don't want to build a tool or a product that is right in their sweet spot or is such a large opportunity like coding automation, for example, that OpenAI or Anthropic or the other labs are very likely to be leaders and be fiercely competitive in that market.
49:26So one thing we think about is what are vertical applications that are very sizable and can produce big outcomes, but maybe narrow enough or specific enough that OpenAI is not going to pursue them independently. So something like manufacturing software and all the data that comes out of the manufacturing world. We have a large investment in MaintainX, which is a vertical software platform for the manufacturing world. And they have a lot of very nuanced workflows. They have distribution. They have data in their platform that would be very hard for an open AI to replicate. So we're excited about companies like that that have a very clear moat around why open AI can't just go and do that.
50:02Okay. Yeah. I mean, I remember the wrapper conversation being a big conversation in 2024. I mean, as we close out 2025, you think about these vertical AI startups. Beyond data, what are the top things you're looking for when evaluating a startup that shows maybe open AI, Anthropik, even Google, Meta, Amazon won't try and build this? Because if you ask me a year ago, we wouldn't have thought coding either. And so I would just kind of be curious how you even start to think about diligencing those. Yeah, it's a good question. I think the answer can look different for different companies. So one thing we would think about is, is there a distribution advantage this company has in some way that would enable them to proliferate within a market faster than even OpenAI could?
50:44Do they have access to proprietary data? For example, something like an open evidence that has a proprietary relationship with the New England Journal of Medicine. You know, there are companies that have access to data that not even OpenAI has. Are there, is there, does a founder just have specific know-how or expertise in a market that would enable them to build a uniquely insightful product that generalists at OpenAI might not have? So those are examples of questions we ask ourselves when we meet companies to figure out if they can actually compete alongside an OpenAI. Got it. Got it. And then obviously also balancing the fact that they hopefully have quite a bit of traction by the time they're seeing you.
51:22Has anything changed about the metrics or numbers you're looking for when first meeting a company? I mean, I think about AR meaning so many things in this moment. Yes. What metrics are you like first tapping into and double clicking on? Yeah. So I would make a gross generalization here and say, you know, an average company today that we see relative to a few years ago is growing faster, but has lower gross margins and lower quality revenue. So it may not be as retentive. It may be less predictable. Like I mentioned, it's lower gross margin. And so that's a tradeoff. So we see companies growing really explosively, but the quality of revenue is lower.
51:57And so we're trying to adapt our framework to think about how do we identify the best companies in that new world? Whereas, you know, three years ago, I think a consensus had formed around how to think about traditional enterprise software startups. Is net revenue retention enough of an answer for now, or is there a different sort of thing you're looking for? It's a good question. I think, you know, we think about the answer with a more qualitative answer, actually. So there are two layers to it. I think what we're seeing is a lot of these companies are growing really rapidly, but that unusually compared to, I think, past years is not necessarily an indication of product market fit.
52:34So we have seen a lot of companies with very aggressive growth ramps. But when you speak to customers, you actually hear a lot of mixed feedback on the product. It may not actually be transforming the workflow. It may not even be production ready. There may still be material gaps in the product that prevent it from really driving value. And so we think about two layers of adoption. You want to find companies that have exec sponsorship and are able to win those large contracts and become market leaders quickly. But just as importantly, actually, maybe more importantly, is to have the support of end users.
53:06and the product love by the people using the products every day. And that piece, that latter piece, is something that we see missing from some of the fast-growing companies today. Wow. Well, I am not envious of the life of a growth stage investor. It feels like a very complicated but exciting time. So thank you for talking to me about it. I would love to end with a conference question. I'm going to be interviewing partners from Index and Kleiner Perkins tomorrow. I'm just curious, what's a conversation you wish venture capitalists were having louder? And maybe I'll pepper it on stage. Okay, let me think about that.
53:35But I think you should ask them what they plan to do with their 2021 portfolios. Because I think that's a conversation that people aren't having out loud today. There's a lot of enthusiasm about the moment that we're currently in. But just a few years ago, we were wallowing in the aftermath of the 2021 era. And I think there's not a lot of discussion happening about what will happen to the hordes of zombies, as they call them. Well, thank you for that reminder. Merit Hummer, thank you so much for joining us on TITV. This was great. Thank you for having me, Natasha.
54:14And that is a wrap on our special edition of TITV. TITV is on Monday through Friday at 10 a.m. Pacific, 1 p.m. Eastern. Thank you to Amazon Web Services, our presenting sponsor for this production. I'll call you a week back tomorrow, but I'm Natasha Mascarenas. Thank you so much for your viewership. Until next time.
54:35Thank you.
55:08You
From the publisher
In this special edition of TITV, Reporter Natasha Mascarenhas takes over hosting at The Information’s annual WTF Summit (Women in Tech, Media and Finance).
Natasha talks with Aparna Chennapragada, Chief Product Officer at Microsoft, about why "yesterday's magic is today's commodity in AI" and the rush to build resilient agents at the "speed of trust”. Next, Meghan Joyce, Co-Founder and CEO of Duckbill, talks about combining AI and humans to solve the "long tail" of personal tasks. We also get into the new aggressive growth expectations for AI startups and the obsolete VC funding frameworks with Merritt Hummer, Partner at Bain Capital Ventures.
The Information’s CEO and Editor-in-Chief Jessica Lessin interviews Paris Hilton, CEO of 11:11 Media, about building a personal brand and her deep connection with her fans and Elizabeth Stone, CTO at Netflix, about the company’s AI strategy for improving member and creator experience.
From New York, TITV Host Akash Pasricha talks with Jackson Ader about OpenAI's restructuring agreement with Microsoft and the company's newfound freedom in the competitive AI market, including the rivalry with Google.
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/@theinformation4080/?sub_confirmation=1
- The Information: https://www.theinformation.com/subscribe_h
Sign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda
