WEBVTT 00:00:00.000 --> 00:00:01.879 What if the biggest opportunity in artificial 00:00:01.879 --> 00:00:04.719 intelligence isn't really about building the 00:00:04.719 --> 00:00:07.500 smartest chat bot or, you know, simply the fastest 00:00:07.500 --> 00:00:10.220 search engine? Yeah. What if it's actually about 00:00:10.220 --> 00:00:12.820 building a truly genuine, evolving relationship 00:00:12.820 --> 00:00:16.620 with technology itself? Two sec silence. I mean, 00:00:16.640 --> 00:00:18.460 just think about that for a second. We're talking 00:00:18.460 --> 00:00:20.730 about an emotional operating system. Welcome 00:00:20.730 --> 00:00:23.050 to the Deep Dive. And today we're diving deep 00:00:23.050 --> 00:00:25.890 into a really thought -provoking perspective 00:00:25.890 --> 00:00:29.370 from Kirsten Green. She's a legendary consumer 00:00:29.370 --> 00:00:31.570 venture capitalist over at Forerunner Ventures. 00:00:31.829 --> 00:00:34.729 She's backed some truly iconic brands, companies 00:00:34.729 --> 00:00:37.090 you definitely know, probably use every day. 00:00:37.250 --> 00:00:41.130 And her bold claim is that right now, well, everyone 00:00:41.130 --> 00:00:43.869 is building the wrong AI products. Her vision, 00:00:43.929 --> 00:00:45.869 as you'll hear, it stretches far beyond just 00:00:45.869 --> 00:00:48.250 smarter chatbots. We're talking about an entirely 00:00:48.250 --> 00:00:51.810 new era, really, one defined by deep personal 00:00:51.810 --> 00:00:54.229 connections with AI. It's a pretty fundamental 00:00:54.229 --> 00:00:57.030 shift. Totally. And our mission for you, the 00:00:57.030 --> 00:01:00.189 listener, is to really grasp this profound shift. 00:01:00.549 --> 00:01:02.990 We'll explore why relationships are kind of emerging 00:01:02.990 --> 00:01:06.200 as the new frontier for AI. What exactly makes 00:01:06.200 --> 00:01:09.420 these connections possible and what this all 00:01:09.420 --> 00:01:12.340 means for building the truly groundbreaking products 00:01:12.340 --> 00:01:14.359 that will shape our future? It's pretty exciting 00:01:14.359 --> 00:01:16.719 stuff. OK, so let's unpack this core idea she 00:01:16.719 --> 00:01:20.640 has. Green defines major tech eras not just by 00:01:20.640 --> 00:01:23.280 the technology itself, but by the fundamental 00:01:23.280 --> 00:01:26.420 human behavior they enable. Right. So, for example, 00:01:26.500 --> 00:01:29.620 the early Internet was all about outcomes. Think 00:01:29.620 --> 00:01:32.670 about it. Buying a book online. Booking a flight, 00:01:32.870 --> 00:01:35.349 finding information. It was about getting a specific 00:01:35.349 --> 00:01:39.189 task done, often instantly. Efficiency. Right. 00:01:39.290 --> 00:01:42.530 Get in, get out. And then the mobile era fundamentally 00:01:42.530 --> 00:01:45.129 shifted us to attention. With a supercomputer 00:01:45.129 --> 00:01:47.549 now in every pocket, the whole game became about 00:01:47.549 --> 00:01:49.989 capturing and holding your focus. It was feeds, 00:01:50.010 --> 00:01:52.890 notifications, endless on -demand content. Every 00:01:52.890 --> 00:01:56.010 app was like locked in this digital gladiatorial 00:01:56.010 --> 00:01:58.290 arena battling for every second of your pocket 00:01:58.290 --> 00:02:00.150 time. And here's where Green argues the current 00:02:00.150 --> 00:02:03.370 AI cycle is profoundly different. It's not primarily 00:02:03.370 --> 00:02:05.810 about faster outcomes or even just more attention 00:02:05.810 --> 00:02:08.430 grabbing. Yeah. She believes this era is really 00:02:08.430 --> 00:02:11.569 about relationships and maybe surprisingly, even 00:02:11.569 --> 00:02:14.120 affection. It's not just about creating better 00:02:14.120 --> 00:02:17.219 tools, but fostering genuine, evolving connections 00:02:17.219 --> 00:02:19.819 with technology itself. That's a big leap. It 00:02:19.819 --> 00:02:23.219 is. Exactly. That's the bedrock. Consider ChatGPT's 00:02:23.219 --> 00:02:26.300 explosive growth. Yes, the underlying tech was 00:02:26.300 --> 00:02:28.840 incredibly impressive, sure. But Green points 00:02:28.840 --> 00:02:32.240 out the real reason it just blew up was the human 00:02:32.240 --> 00:02:34.960 -like conversation. Right. It felt familiar, 00:02:35.120 --> 00:02:37.419 conversational, almost like chatting with a friend. 00:02:37.870 --> 00:02:40.689 As she puts it, it was taking a behavior that 00:02:40.689 --> 00:02:43.370 is fundamental and now making it possible online. 00:02:43.469 --> 00:02:46.349 It just clicked with us on a human level. So 00:02:46.349 --> 00:02:48.310 when we talk about tech, what's the core difference 00:02:48.310 --> 00:02:51.169 between building for a one -time outcome versus 00:02:51.169 --> 00:02:53.650 cultivating an ongoing relationship? Well, an 00:02:53.650 --> 00:02:55.370 outcome is pretty much a transaction, right? 00:02:55.469 --> 00:02:57.449 A relationship, though, it builds dynamically 00:02:57.449 --> 00:03:00.110 over time through interaction. Okay, so for these 00:03:00.110 --> 00:03:03.009 AI relationships to truly exist, to feel meaningful 00:03:03.009 --> 00:03:06.840 and, you know... evolve with us. Green points 00:03:06.840 --> 00:03:10.280 to three crucial unlocks, things that she says 00:03:10.280 --> 00:03:12.560 haven't really come together like this before. 00:03:12.699 --> 00:03:15.539 The first and maybe the most foundational is 00:03:15.539 --> 00:03:17.879 memory that actually matters. Yeah. And this 00:03:17.879 --> 00:03:19.860 isn't just about data recall, like a computer 00:03:19.860 --> 00:03:22.699 perfectly remembering a file name from 10 years 00:03:22.699 --> 00:03:24.919 ago. It's so much deeper than that. Right. It's 00:03:24.919 --> 00:03:27.939 about context that builds over time and intuition 00:03:27.939 --> 00:03:31.240 that moves forward. Imagine an AI that actually 00:03:31.240 --> 00:03:33.840 remembers that half formed business idea you 00:03:33.840 --> 00:03:36.280 mentioned six months ago. Wow. Or that fleeting 00:03:36.280 --> 00:03:38.680 thought you had about a career change last Tuesday. 00:03:38.919 --> 00:03:42.419 And then proactively it connects that to new 00:03:42.419 --> 00:03:44.580 market trends it's observing or maybe your evolving 00:03:44.580 --> 00:03:47.199 goals you've discussed since then. So it's synthesizing. 00:03:47.199 --> 00:03:50.240 It's synthesizing information. Yeah. Like a human 00:03:50.240 --> 00:03:52.719 friend who truly knows you and can anticipate 00:03:52.719 --> 00:03:55.900 your needs. That's a total game changer. The 00:03:55.900 --> 00:03:58.099 second unlock, she calls it data in a continuous 00:03:58.099 --> 00:04:00.580 learning loop. We've heard for years that data 00:04:00.580 --> 00:04:03.520 is a moat, right? Meaning it gives companies 00:04:03.520 --> 00:04:06.259 a competitive advantage. But here, it's different. 00:04:06.400 --> 00:04:09.060 Totally different. Every single interaction you 00:04:09.060 --> 00:04:11.939 have, every preference you express, every goal 00:04:11.939 --> 00:04:16.360 you state, it builds this incredibly rich, evolving 00:04:16.360 --> 00:04:19.379 understanding of you as an individual. Exactly. 00:04:19.519 --> 00:04:22.019 This isn't just a Netflix recommendation based 00:04:22.019 --> 00:04:24.519 on your past viewing history, which is kind of 00:04:24.519 --> 00:04:28.000 static, like a snapshot. This data is actively 00:04:28.000 --> 00:04:32.060 used in real time to deepen and move the relationship 00:04:32.060 --> 00:04:34.860 forward. It makes it richer, more personalized 00:04:34.860 --> 00:04:37.720 with every single conversation. Okay. And that's 00:04:37.720 --> 00:04:39.980 incredibly profound because the switching cost 00:04:39.980 --> 00:04:42.920 for you, the user, suddenly becomes incredibly 00:04:42.920 --> 00:04:45.879 high. Right. You're not just abandoning a piece 00:04:45.879 --> 00:04:47.860 of software for another, you're abandoning a 00:04:47.860 --> 00:04:50.990 relationship. You've invested time, thought, 00:04:51.149 --> 00:04:53.790 and maybe even a little bit of your heart in 00:04:53.790 --> 00:04:55.689 building. You'd have to start all over. You'd 00:04:55.689 --> 00:04:57.910 have to start completely over with a new AI that 00:04:57.910 --> 00:04:59.790 knows absolutely nothing about you. That's a 00:04:59.790 --> 00:05:02.149 huge barrier. And the third unlock, this one 00:05:02.149 --> 00:05:05.250 is truly fascinating. Voice is the great accelerator 00:05:05.250 --> 00:05:08.930 of intimacy. When we type, we often self -edit, 00:05:08.930 --> 00:05:11.410 right? We're precise. We curate our thoughts. 00:05:11.470 --> 00:05:14.120 Maybe we're even a little performative. but when 00:05:14.120 --> 00:05:16.680 we speak. Oh, we're so much less guarded. It's 00:05:16.680 --> 00:05:19.959 true. We ramble, we reveal our tone, our hesitations, 00:05:19.959 --> 00:05:22.000 our half -formed thoughts, even our emotions 00:05:22.000 --> 00:05:25.480 leak through this richer, more human, more intimate 00:05:25.480 --> 00:05:28.379 voice data when you combine it with that deep 00:05:28.379 --> 00:05:30.879 contextual memory and the continuous learning 00:05:30.879 --> 00:05:35.319 loop. Wow. It builds an incredibly deep and powerful 00:05:35.319 --> 00:05:37.800 foundation for relationship building. It's like 00:05:37.800 --> 00:05:40.980 stacking these nuanced Lego blocks of data, each 00:05:40.980 --> 00:05:44.040 one adding a new layer of understanding. So how 00:05:44.040 --> 00:05:46.519 does this memory that matters really differ from 00:05:46.519 --> 00:05:50.180 traditional computer memory, just beyond recalling 00:05:50.180 --> 00:05:53.199 a file? It's dynamic context and intuition, not 00:05:53.199 --> 00:05:56.160 just static recall. It builds an evolving understanding 00:05:56.160 --> 00:05:59.160 of you. Okay. So Green describes where we are 00:05:59.160 --> 00:06:02.240 right now in the evolution of AI products as... 00:06:02.540 --> 00:06:05.639 a messy creative stage. She says it's a really 00:06:05.639 --> 00:06:08.500 fun place, but also one where we need a lot more 00:06:08.500 --> 00:06:10.759 freedom to experiment. Her prediction is pretty 00:06:10.759 --> 00:06:12.720 clear. They're going to be all new. We won't 00:06:12.720 --> 00:06:15.060 just see smarter chatbots kind of bolted inside 00:06:15.060 --> 00:06:17.879 our existing familiar old apps. She believes 00:06:17.879 --> 00:06:19.980 we'll see entirely new product categories, completely 00:06:19.980 --> 00:06:22.600 fresh user experiences built from the ground 00:06:22.600 --> 00:06:24.639 up around this whole paradigm of relationships. 00:06:25.040 --> 00:06:27.600 This means bold, almost wild experimentation 00:06:27.600 --> 00:06:31.480 is absolutely key. We're truly in the like. Our 00:06:31.480 --> 00:06:34.800 primordial soup of a new technological era. It's 00:06:34.800 --> 00:06:37.600 exciting, but messy. Now, when it comes to distribution 00:06:37.600 --> 00:06:41.420 and marketing, founders always ask VCs for the 00:06:41.420 --> 00:06:44.399 secret sauce, right? The magic bullet. Oh, yeah, 00:06:44.459 --> 00:06:46.920 every time. Green's harsh reality response to 00:06:46.920 --> 00:06:48.980 that very common question. You've got to do everything. 00:06:49.279 --> 00:06:51.819 Huh. Yeah, there's no single magic bullet, no 00:06:51.819 --> 00:06:54.579 one trick. It's about creating a mosaic of messages. 00:06:55.180 --> 00:06:57.819 But the absolute foundation, the simplest truth, 00:06:57.959 --> 00:07:00.449 is this. You have to build something that people 00:07:00.449 --> 00:07:02.610 actually need and that people actually like. 00:07:02.649 --> 00:07:05.730 Beat. Seems obvious, but. But it's hard. As she 00:07:05.730 --> 00:07:07.810 notes, with maybe a bit of a sigh, you can't 00:07:07.810 --> 00:07:09.790 market products that are bad. It's so easy to 00:07:09.790 --> 00:07:12.110 get lost in the dazzling tech, the algorithms, 00:07:12.230 --> 00:07:15.490 the models. But that messy human element, what 00:07:15.490 --> 00:07:17.930 people truly need, what they truly, like, that's 00:07:17.930 --> 00:07:19.449 where the real challenge is for founders. And 00:07:19.449 --> 00:07:21.170 honestly, it's something I still grapple with 00:07:21.170 --> 00:07:23.029 myself sometimes. Getting that human connection 00:07:23.029 --> 00:07:26.120 right is really tough. Why then is this considered 00:07:26.120 --> 00:07:29.540 such a messy time for creating new AI products? 00:07:29.720 --> 00:07:31.980 What makes it messy? Because the rules are totally 00:07:31.980 --> 00:07:35.000 unwritten, bold experimentation is really needed 00:07:35.000 --> 00:07:37.560 for these new kinds of experiences. Okay, so 00:07:37.560 --> 00:07:39.560 here's where it connects to the past in a really 00:07:39.560 --> 00:07:42.899 insightful way. Green's investment in Dollar 00:07:42.899 --> 00:07:46.439 Shave Club. It's like a masterclass in seeing 00:07:46.439 --> 00:07:50.139 beyond the obvious product. On the surface, it 00:07:50.139 --> 00:07:53.410 was just razors. And an unbelievably crowded 00:07:53.410 --> 00:07:56.050 market totally dominated by giants like Gillette 00:07:56.050 --> 00:07:59.430 seemed crazy. Right. But the founder, as she 00:07:59.430 --> 00:08:02.370 observed, saw a much deeper cultural shift happening. 00:08:02.649 --> 00:08:05.350 Men were actively entering a broader personal 00:08:05.350 --> 00:08:08.189 care conversation, you know, beyond just the 00:08:08.189 --> 00:08:10.370 razor. The razor itself was just the vehicle, 00:08:10.449 --> 00:08:12.889 not the destination. Plus, you had new business 00:08:12.889 --> 00:08:14.930 models enabled by the social web, meaning they 00:08:14.930 --> 00:08:17.589 could ship directly, bypassing all those traditional 00:08:17.589 --> 00:08:20.350 retail gatekeepers. It was like a perfect storm 00:08:20.350 --> 00:08:22.579 of culture. and technological shifts happening 00:08:22.579 --> 00:08:24.600 at the same time. It's kind of genius, really, 00:08:24.680 --> 00:08:26.500 when you look back. So what does this all mean 00:08:26.500 --> 00:08:29.860 for the future of AI then? Despite ChatGPT's 00:08:29.860 --> 00:08:33.019 incredible, almost overwhelming dominance right 00:08:33.019 --> 00:08:35.460 now, Green doesn't believe everything will just 00:08:35.460 --> 00:08:38.740 end up living in one single universal chat window. 00:08:39.019 --> 00:08:41.769 No. Definitely not. She argues there's relevance 00:08:41.769 --> 00:08:43.950 in the long tail. There's relevance in specialty. 00:08:44.169 --> 00:08:46.669 And people want to have different kinds of experiences 00:08:46.669 --> 00:08:49.210 at the category level. Yeah, that makes sense. 00:08:49.409 --> 00:08:51.330 Think about it. How you'd want to manage your 00:08:51.330 --> 00:08:53.629 most sensitive personal finances versus how you 00:08:53.629 --> 00:08:56.789 might interact with, say, a mental health companion 00:08:56.789 --> 00:08:59.870 AI. Completely different. Totally. You want and 00:08:59.870 --> 00:09:02.769 you absolutely need tailored interfaces, specialized 00:09:02.769 --> 00:09:06.409 experiences. General purpose tools like ChatGPT 00:09:06.409 --> 00:09:08.950 are fantastic for inspiration for general knowledge. 00:09:08.970 --> 00:09:11.029 knowledge, sure, but specialized experiences 00:09:11.029 --> 00:09:14.610 are where the real deep value lies for very specific 00:09:14.610 --> 00:09:17.490 needs. So what was that underlying cultural shift 00:09:17.490 --> 00:09:19.710 that Dollar Shave Club really tapped into beyond 00:09:19.710 --> 00:09:22.870 just selling razors cheaply? Men were increasingly 00:09:22.870 --> 00:09:25.330 embracing personal care and the razor was just 00:09:25.330 --> 00:09:27.570 an entry point to that. broader conversation. 00:09:27.850 --> 00:09:30.830 Got it. OK, so Forerunner Ventures, they've identified 00:09:30.830 --> 00:09:34.009 two massive, overarching consumer trends that 00:09:34.009 --> 00:09:36.809 they see as absolutely ripe for this kind of 00:09:36.809 --> 00:09:40.330 AI innovation. Yeah. Huge trends already reshaping 00:09:40.330 --> 00:09:43.190 how we live. First, the proactive wellness revolution. 00:09:43.570 --> 00:09:46.190 Yeah, this is enormous. We're really shifting 00:09:46.190 --> 00:09:48.129 away from just, you know, going to the doctor 00:09:48.129 --> 00:09:51.610 when we're sick. Now it's about. Daily optimization, 00:09:51.970 --> 00:09:54.669 personalized health, preventing issues before 00:09:54.669 --> 00:09:58.269 they even start. The AI opportunity here is truly 00:09:58.269 --> 00:10:01.710 incredible. Creating an MD and a PhD in your 00:10:01.710 --> 00:10:04.730 pocket, literally. Personalized guidance based 00:10:04.730 --> 00:10:07.470 on all your unique data. Your sleep patterns, 00:10:07.649 --> 00:10:09.590 your food choices, your genetics, your mood, 00:10:09.669 --> 00:10:12.169 all feeding into a system that gives you deeply 00:10:12.169 --> 00:10:14.450 tailored, proactive advice, not just generic 00:10:14.450 --> 00:10:16.779 tips you read online. And the second big trend, 00:10:16.940 --> 00:10:19.779 the quest for personal security. This isn't just 00:10:19.779 --> 00:10:21.539 about physical safety, though that's part of 00:10:21.539 --> 00:10:23.200 it, obviously. Right. It's broader. It's about 00:10:23.200 --> 00:10:26.019 securing your entire life, finding a stable career 00:10:26.019 --> 00:10:28.960 in a rapidly changing world, managing finances 00:10:28.960 --> 00:10:31.940 wisely, maintaining a general sense of life stability 00:10:31.940 --> 00:10:34.659 in what often feels like a very uncertain future. 00:10:35.200 --> 00:10:38.320 Absolutely. AI can build profoundly impactful 00:10:38.320 --> 00:10:40.600 tools to help people navigate this uncertainty 00:10:40.600 --> 00:10:44.159 and truly flourish. Imagine an AI career coach 00:10:44.159 --> 00:10:47.019 that helps you adapt to future job markets. That'd 00:10:47.019 --> 00:10:49.000 be beautiful. Or a financial advisor that genuinely 00:10:49.000 --> 00:10:51.620 understands your unique life goals and helps 00:10:51.620 --> 00:10:54.139 you actually work towards them. This brings us 00:10:54.139 --> 00:10:56.840 right back to Green's biggest, most audacious 00:10:56.840 --> 00:10:59.679 prediction. The dawn of the emotional operating 00:10:59.679 --> 00:11:02.899 system. The emotional operating system. That's 00:11:02.899 --> 00:11:04.460 the phrase that really sticks with you, isn't 00:11:04.460 --> 00:11:07.220 it? It really does. Any area of our lives where 00:11:07.220 --> 00:11:09.440 we inherently need a relationship, whether it's 00:11:09.440 --> 00:11:11.559 with our health, our finances, our learning, 00:11:11.639 --> 00:11:14.580 maybe even companionship, is now ripe for AI 00:11:14.580 --> 00:11:17.860 transformation. It's moving AI beyond just pure 00:11:17.860 --> 00:11:20.179 function to build genuine, evolving connections. 00:11:20.600 --> 00:11:24.000 And the real kicker here. She argues that large 00:11:24.000 --> 00:11:26.120 established platforms are going to struggle to 00:11:26.120 --> 00:11:28.700 simply bolt this kind of relationship centric 00:11:28.700 --> 00:11:31.000 AI onto their existing architectures. Why is 00:11:31.000 --> 00:11:33.909 that? Well, their entire design, their company 00:11:33.909 --> 00:11:36.409 culture, it just wasn't built for it. It's hard 00:11:36.409 --> 00:11:38.690 to retrofit that kind of deep relationship focus. 00:11:39.169 --> 00:11:42.470 This creates a massive opening for entirely new 00:11:42.470 --> 00:11:44.990 companies to be built from the ground up on relationships. 00:11:45.330 --> 00:11:47.830 Whoa. Yeah, whoa is right. Imagine the depth 00:11:47.830 --> 00:11:50.330 of understanding and connection an AI could truly 00:11:50.330 --> 00:11:53.169 build, evolving with you over years, becoming 00:11:53.169 --> 00:11:55.970 an almost irreplaceable part of your life. This 00:11:55.970 --> 00:11:58.419 could genuinely be the new standard. It's kind 00:11:58.419 --> 00:12:01.320 of mind blowing. So how does this emotional operating 00:12:01.320 --> 00:12:04.860 system fundamentally shift what AI can actually 00:12:04.860 --> 00:12:07.259 do for us? Like what's the core change? It moves 00:12:07.259 --> 00:12:10.340 AI beyond mere function, creating genuine, evolving 00:12:10.340 --> 00:12:13.080 and deeply personal relationships with us. OK, 00:12:13.120 --> 00:12:15.539 so for founders, for creators looking to build 00:12:15.539 --> 00:12:17.779 in this new landscape, Green offers some really 00:12:17.779 --> 00:12:20.080 practical advice beyond the foundational questions 00:12:20.080 --> 00:12:22.899 like why do people need this or why will they 00:12:22.899 --> 00:12:25.639 come back? What's specific to building in this 00:12:25.639 --> 00:12:28.779 AI era? OK, good question. First, she says build 00:12:28.779 --> 00:12:31.139 with the LLM tailwind. Don't try to fight it, 00:12:31.200 --> 00:12:33.580 meaning don't try to build a better foundational 00:12:33.580 --> 00:12:36.720 language model yourself. leverage their incredible 00:12:36.720 --> 00:12:40.159 power as a core engine, right? That frees you 00:12:40.159 --> 00:12:42.139 up to innovate on the interface, the specific 00:12:42.139 --> 00:12:44.580 knowledge, and importantly, that relationship 00:12:44.580 --> 00:12:48.379 layer. Then... Focus your efforts squarely on 00:12:48.379 --> 00:12:50.419 relationship opportunities in areas like health, 00:12:50.539 --> 00:12:53.559 finance, education, and companionship. These 00:12:53.559 --> 00:12:56.159 are inherently relational domains. Makes sense. 00:12:56.379 --> 00:12:59.559 And finally, don't be afraid to experiment far 00:12:59.559 --> 00:13:02.860 beyond just a simple chat bar. The winning interfaces 00:13:02.860 --> 00:13:06.200 for these new relationship -based AIs, they probably 00:13:06.200 --> 00:13:08.200 haven't even been invented yet. And that's the 00:13:08.200 --> 00:13:10.080 really exciting part, the discovery. And then 00:13:10.080 --> 00:13:12.919 her perspective on marketing, which is both simple 00:13:12.919 --> 00:13:15.629 and incredibly profound. Yeah. Your product cut 00:13:15.629 --> 00:13:18.529 your marketing. Authenticity is absolutely key 00:13:18.529 --> 00:13:20.889 here. Marketing shouldn't feel like some separate 00:13:20.889 --> 00:13:23.750 glossy layer you slap on at the end. It should 00:13:23.750 --> 00:13:26.409 organically extend the product's inherent value 00:13:26.409 --> 00:13:30.009 and its personality. Consumers today are incredibly 00:13:30.009 --> 00:13:33.019 savvy. They see right through fakeness. Beat. 00:13:33.279 --> 00:13:36.659 Being early in a totally new category like consumer 00:13:36.659 --> 00:13:40.379 AI gives you a temporary timing advantage, a 00:13:40.379 --> 00:13:43.340 unique chance to truly surprise and delight people 00:13:43.340 --> 00:13:46.409 before the space gets super crowded. But that 00:13:46.409 --> 00:13:49.129 initial wow factor, that timing advantage, it 00:13:49.129 --> 00:13:52.409 fades eventually, right? So for long -term defensibility, 00:13:52.789 --> 00:13:54.950 founders really need to consider what she calls 00:13:54.950 --> 00:13:58.789 the network effect question, which is, what about 00:13:58.789 --> 00:14:00.669 your product gets better for one user because 00:14:00.669 --> 00:14:03.110 you bring other people into the experience? Yeah, 00:14:03.129 --> 00:14:05.509 and in AI, this is often deeply data -driven. 00:14:05.669 --> 00:14:07.769 More users interacting means the underlying model 00:14:07.769 --> 00:14:09.830 learns faster, it becomes more nuanced, more 00:14:09.830 --> 00:14:11.889 capable, and ultimately more personalized for 00:14:11.889 --> 00:14:14.210 everyone. It's a kind of collective intelligence 00:14:14.210 --> 00:14:20.929 that ultimately benefits. So what then is the 00:14:20.929 --> 00:14:22.990 most important advice for founders trying to 00:14:22.990 --> 00:14:25.389 build a truly lasting AI product in this new 00:14:25.389 --> 00:14:28.470 relationship era? I'd say leverage the big LLMs, 00:14:28.570 --> 00:14:31.049 focus intensely on relationship building in key 00:14:31.049 --> 00:14:33.590 areas, experiment bravely with the interface, 00:14:33.850 --> 00:14:36.250 and let your product itself be your most powerful, 00:14:36.330 --> 00:14:39.879 authentic marketing sponsor. So what does this 00:14:39.879 --> 00:14:43.320 all mean for us as we try to navigate this rapidly 00:14:43.320 --> 00:14:46.379 evolving tech landscape? Kirsten Green's core 00:14:46.379 --> 00:14:50.039 insight here, it feels... truly profound. The 00:14:50.039 --> 00:14:52.620 real competitive mode in AI isn't necessarily 00:14:52.620 --> 00:14:55.259 about owning the biggest base models or just 00:14:55.259 --> 00:14:57.639 having the most raw computing power. No, it's 00:14:57.639 --> 00:14:59.679 really about the relationship you manage to build 00:14:59.679 --> 00:15:01.879 with your users. Through continuous learning, 00:15:02.039 --> 00:15:04.440 that incredibly deep memory we talked about, 00:15:04.620 --> 00:15:07.340 and increasingly intimate interactions, especially 00:15:07.340 --> 00:15:09.980 using voice AI, has the potential to create what 00:15:09.980 --> 00:15:12.620 she calls an emotional operating system. This 00:15:12.620 --> 00:15:15.200 then creates an immense, almost unbreakable emotional 00:15:15.200 --> 00:15:17.759 switching cost. You're not just ditching a piece 00:15:17.759 --> 00:15:19.779 of software for a competitor. You're actually 00:15:19.779 --> 00:15:22.779 abandoning a co -created relationship, a digital 00:15:22.779 --> 00:15:24.879 partner that understands you uniquely. Yeah, 00:15:24.960 --> 00:15:27.620 imagine the depth of understanding and connection 00:15:27.620 --> 00:15:30.679 an AI could truly build, evolving with you over 00:15:30.679 --> 00:15:33.500 years, anticipating your needs, maybe even before 00:15:33.500 --> 00:15:36.259 you voice them yourself. That's a really powerful 00:15:36.259 --> 00:15:38.399 thought. This is the new standard she's predicting. 00:15:38.600 --> 00:15:41.440 We are truly at the beginning of a massive platform 00:15:41.440 --> 00:15:44.299 shift here. This messy creative stage she talks 00:15:44.299 --> 00:15:46.539 about. It's not just some phase we're passing 00:15:46.539 --> 00:15:49.340 through. It feels like the opportunity. Totally. 00:15:49.440 --> 00:15:52.399 And the question for you, the listener, is. Are 00:15:52.399 --> 00:15:55.259 you bold enough, curious enough to help define 00:15:55.259 --> 00:15:57.960 what comes next? What kind of relationships will 00:15:57.960 --> 00:16:00.200 we form with these new intelligences? It's kind 00:16:00.200 --> 00:16:02.919 of up for grabs. So think about this. What relationship 00:16:02.919 --> 00:16:05.100 in your own life, maybe with your health, your 00:16:05.100 --> 00:16:07.379 finances, your learning, perhaps your creative 00:16:07.379 --> 00:16:09.860 process, what could be profoundly transformed 00:16:09.860 --> 00:16:12.399 by an AI that truly understood you, that built 00:16:12.399 --> 00:16:15.279 an emotional operating system around your unique 00:16:15.279 --> 00:16:18.120 needs and aspirations? Definitely something for 00:16:18.120 --> 00:16:20.480 you to mull over. That's our deep dive for today. 00:16:20.600 --> 00:16:22.419 Thank you so much for joining us. Until next 00:16:22.419 --> 00:16:25.179 time, keep exploring. Outro music.