1 00:00:02,520 --> 00:00:09,879 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg Business 2 00:00:09,880 --> 00:00:14,160 Speaker 1: Week with Carol Masser and Tim Steneveek on Bloomberg Radio. 3 00:00:14,640 --> 00:00:17,279 Speaker 2: That Apple's big event last week, a lot of the 4 00:00:17,280 --> 00:00:19,160 Speaker 2: focus was, of course, around the iPhone. It makes sense, 5 00:00:19,160 --> 00:00:21,560 Speaker 2: it's the most important products for Apple. What got my 6 00:00:21,640 --> 00:00:23,720 Speaker 2: attention and this is what I talked to my wife about, 7 00:00:24,000 --> 00:00:28,080 Speaker 2: like the next day, the new translation function on the AirPods. 8 00:00:28,160 --> 00:00:30,920 Speaker 2: It's so cool, so it automatically translates words that are 9 00:00:30,920 --> 00:00:32,680 Speaker 2: spoken to the wear and then the user can then 10 00:00:32,760 --> 00:00:34,960 Speaker 2: speak back and show the translation live on an iPhone 11 00:00:35,000 --> 00:00:37,000 Speaker 2: to another person. We live in the future, Carol. 12 00:00:36,800 --> 00:00:39,040 Speaker 3: I mean, it's really amazing. It's like, okay, so if 13 00:00:39,040 --> 00:00:41,000 Speaker 3: you don't have a language, sometimes you feel lost in 14 00:00:41,000 --> 00:00:43,360 Speaker 3: a country. But this really kind of makes it very 15 00:00:43,760 --> 00:00:46,160 Speaker 3: easy to communicate with other folks. 16 00:00:46,240 --> 00:00:47,919 Speaker 2: So it raises a question about how we're going to 17 00:00:48,320 --> 00:00:50,479 Speaker 2: use language in the future. And in fact, on that 18 00:00:50,560 --> 00:00:52,879 Speaker 2: day we saw DUELINGO shares they were up as much 19 00:00:52,880 --> 00:00:55,720 Speaker 2: as six percent. Then Apple showed off the new feature, 20 00:00:55,880 --> 00:00:58,760 Speaker 2: the stock fell. So someone I'm sure who watches this closely. 21 00:00:58,800 --> 00:01:02,120 Speaker 2: Tim Allen, he CEO of Babble, the language learning platform, 22 00:01:02,120 --> 00:01:04,160 Speaker 2: He joins us from Berlin. Tim, good to have you 23 00:01:04,200 --> 00:01:04,880 Speaker 2: with us. How are you. 24 00:01:06,080 --> 00:01:08,160 Speaker 4: I'm good, Thank you for having me. I really appreciate it. 25 00:01:08,240 --> 00:01:11,200 Speaker 2: Yeah, congratulations on the new gig. I'm curious how you 26 00:01:11,240 --> 00:01:12,640 Speaker 2: watch the tech in the space, And I know you 27 00:01:12,680 --> 00:01:14,320 Speaker 2: have some really interesting stuff that you and the team 28 00:01:14,360 --> 00:01:16,720 Speaker 2: are doing around AI, But how do you watch the 29 00:01:16,760 --> 00:01:20,000 Speaker 2: tech coming from Apple or Alphabet that are now offering 30 00:01:20,040 --> 00:01:22,840 Speaker 2: this real time translation? Does it make it so we're 31 00:01:22,880 --> 00:01:24,920 Speaker 2: not going to need to learn languages in the future. 32 00:01:26,200 --> 00:01:29,000 Speaker 5: You know, language learning is the oldest software known demand, 33 00:01:29,120 --> 00:01:31,800 Speaker 5: so it's not going anywhere. What I love about what 34 00:01:31,840 --> 00:01:34,640 Speaker 5: Apple and Google have done is it actually generates more 35 00:01:34,680 --> 00:01:37,919 Speaker 5: interest in the space. So what we find interesting, especially 36 00:01:38,000 --> 00:01:41,720 Speaker 5: on our product Babble, is when users or learners go 37 00:01:42,040 --> 00:01:44,680 Speaker 5: to take a trip or go into a foreign country, 38 00:01:44,959 --> 00:01:47,320 Speaker 5: they actually come back and they're more interested in learning 39 00:01:47,360 --> 00:01:49,720 Speaker 5: the language. So we see all of this as a 40 00:01:49,720 --> 00:01:52,760 Speaker 5: tailwind because we think that ultimately, you know, I think 41 00:01:52,760 --> 00:01:54,800 Speaker 5: the technology is really cool as well, Right, it's so 42 00:01:54,880 --> 00:01:56,840 Speaker 5: interesting put in the AirPods you can go from one 43 00:01:56,840 --> 00:01:58,880 Speaker 5: to the other. But what people will then do is 44 00:01:58,920 --> 00:02:01,520 Speaker 5: adopt and go, oh, I really want to get. 45 00:02:01,360 --> 00:02:04,000 Speaker 4: Into the language. I really want to belong to the language. 46 00:02:03,640 --> 00:02:06,720 Speaker 2: That's happening right now because it volume well, So Tim, 47 00:02:06,760 --> 00:02:09,000 Speaker 2: I get that that's happening right now because that technology 48 00:02:09,040 --> 00:02:11,480 Speaker 2: isn't widespread. But I can just imagine in a few years, 49 00:02:12,000 --> 00:02:14,680 Speaker 2: you know, we won't even need maybe won't even need 50 00:02:14,720 --> 00:02:17,760 Speaker 2: another device. We'll have it just it'll be a wearable 51 00:02:18,080 --> 00:02:19,959 Speaker 2: and then it'll be even more seamless. Do you see 52 00:02:19,960 --> 00:02:22,919 Speaker 2: that continuing to drive demand. 53 00:02:23,240 --> 00:02:26,360 Speaker 5: What's interesting about that is, like I think, short of 54 00:02:26,400 --> 00:02:29,399 Speaker 5: a neural implant, people are going to always be learning languages, right, 55 00:02:29,480 --> 00:02:31,799 Speaker 5: so that at a universal language. Those are the two things 56 00:02:31,840 --> 00:02:34,160 Speaker 5: that could disrupt the market. So what will end up 57 00:02:34,160 --> 00:02:36,240 Speaker 5: happening is that the iPhone when it came out, everyone 58 00:02:36,360 --> 00:02:38,760 Speaker 5: declared the death of language learning. Right because you could 59 00:02:38,760 --> 00:02:40,520 Speaker 5: hold up your phone you could do the same translation 60 00:02:40,760 --> 00:02:43,600 Speaker 5: that the air pods are offered today. Even a wearable 61 00:02:43,600 --> 00:02:46,160 Speaker 5: can do it. The difference is that people actually want 62 00:02:46,200 --> 00:02:49,399 Speaker 5: to live and breathe inside of the language. In fact, 63 00:02:49,720 --> 00:02:52,519 Speaker 5: we just launched a part of our new technology that 64 00:02:52,840 --> 00:02:55,840 Speaker 5: that explores AI that brings both the pedagogy and the 65 00:02:55,919 --> 00:02:58,680 Speaker 5: human learning aspect of it together with AI called Babbill 66 00:02:58,720 --> 00:03:01,400 Speaker 5: Speak and what that does. It allows people to actually 67 00:03:01,400 --> 00:03:04,000 Speaker 5: practice the language of learning with with an AI coach 68 00:03:04,000 --> 00:03:06,560 Speaker 5: and AI tuner, so there's pre defined conversations you can 69 00:03:06,600 --> 00:03:09,880 Speaker 5: practice with. It does small corrections, but we see this 70 00:03:09,960 --> 00:03:11,960 Speaker 5: as a compliment. We see this as a way for 71 00:03:12,040 --> 00:03:15,520 Speaker 5: people to actually learn and accelerate the transmission of the language. 72 00:03:15,680 --> 00:03:17,760 Speaker 5: I think the new technologies are really going to allow 73 00:03:17,800 --> 00:03:20,400 Speaker 5: for dabbling inside of the language. It's going to be 74 00:03:20,480 --> 00:03:22,400 Speaker 5: great on the go, it's going to be great for 75 00:03:22,440 --> 00:03:25,560 Speaker 5: those one time use cases, but people will always want 76 00:03:25,600 --> 00:03:28,080 Speaker 5: to learn and live inside of a language themselves. 77 00:03:28,160 --> 00:03:30,880 Speaker 3: How do you view them more generally? Tim kind of 78 00:03:30,880 --> 00:03:34,480 Speaker 3: the landscape of learning apps With the introduction of GPT five, 79 00:03:34,760 --> 00:03:38,720 Speaker 3: we saw the team create a custom language learning app 80 00:03:38,800 --> 00:03:42,840 Speaker 3: in minutes during the demos. I mean, it's kind of 81 00:03:43,040 --> 00:03:45,320 Speaker 3: amazing how quickly all this is happening and how quickly 82 00:03:45,400 --> 00:03:48,240 Speaker 3: you can do things. Do you view AI products like 83 00:03:48,320 --> 00:03:50,640 Speaker 3: this is a real competitive threat and what can you 84 00:03:50,680 --> 00:03:52,680 Speaker 3: do to keep your user base and sustain growth? 85 00:03:53,800 --> 00:03:55,200 Speaker 4: Yeah? I watched the same demonstration. 86 00:03:55,280 --> 00:03:57,480 Speaker 5: It was a cool friendshipp that they had created. It 87 00:03:57,560 --> 00:03:58,200 Speaker 5: has limitation? 88 00:03:58,320 --> 00:03:58,880 Speaker 4: Is it correct? 89 00:03:59,160 --> 00:04:02,200 Speaker 3: Are you like, oh my god, this is going to 90 00:04:02,240 --> 00:04:05,080 Speaker 3: be what was difficult for us? 91 00:04:05,400 --> 00:04:06,000 Speaker 4: What was cool? 92 00:04:06,240 --> 00:04:08,120 Speaker 5: No, definitely not in Oh my God, it was a 93 00:04:08,280 --> 00:04:10,520 Speaker 5: cool because it was created so quickly. And what I 94 00:04:10,520 --> 00:04:12,520 Speaker 5: think is so cool about it is people are starting 95 00:04:12,520 --> 00:04:15,240 Speaker 5: to learn on demand. What the difference is though, is 96 00:04:15,280 --> 00:04:18,359 Speaker 5: I think that people will want pedagogy, they'll want lessons, 97 00:04:18,360 --> 00:04:20,440 Speaker 5: they'll want content, They'll want to be able to actually 98 00:04:20,520 --> 00:04:22,920 Speaker 5: know that they're getting a trusted guide through the language 99 00:04:23,000 --> 00:04:26,360 Speaker 5: learning process. Large language models, as you know, are good 100 00:04:26,360 --> 00:04:29,440 Speaker 5: at many things, they're good everywhere. They've been declaring for 101 00:04:29,480 --> 00:04:32,040 Speaker 5: now almost two years that they're going to take away 102 00:04:32,080 --> 00:04:34,240 Speaker 5: all of the jobs and you know, just really disrupt 103 00:04:34,320 --> 00:04:36,640 Speaker 5: all the markets. But I think what ends up happening 104 00:04:36,680 --> 00:04:38,880 Speaker 5: is when you start to get into really narrow spaces 105 00:04:38,880 --> 00:04:41,240 Speaker 5: such as language learning, people want to know that they 106 00:04:41,240 --> 00:04:43,120 Speaker 5: have a real lesson plan, that they have really the 107 00:04:43,160 --> 00:04:45,320 Speaker 5: transmission of the language in a way that's going to 108 00:04:45,360 --> 00:04:47,640 Speaker 5: adapt to them. And that's what we think AI is 109 00:04:47,640 --> 00:04:49,680 Speaker 5: going to empower. Inside of babble, we think it's really 110 00:04:49,720 --> 00:04:53,600 Speaker 5: going to allow for the personalization of your individual learning plan. 111 00:04:54,320 --> 00:04:58,080 Speaker 5: But with the content, the pedagogy, the transmission, so you 112 00:04:58,200 --> 00:05:01,240 Speaker 5: retain you're able to speak it, you feel fluent and 113 00:05:01,279 --> 00:05:03,800 Speaker 5: you actually feel comfortable with it. So I think from 114 00:05:03,839 --> 00:05:06,479 Speaker 5: a build perspective, it's really interesting. We look at it 115 00:05:06,480 --> 00:05:08,560 Speaker 5: as a tool to really help facilitate and go to 116 00:05:08,600 --> 00:05:11,159 Speaker 5: market a lot faster. I think for a transmission and 117 00:05:11,200 --> 00:05:14,080 Speaker 5: a trusted content, it'll actually end up being niche markets 118 00:05:14,120 --> 00:05:15,560 Speaker 5: with real players such as ourselves. 119 00:05:15,600 --> 00:05:17,839 Speaker 3: All right, So the truth will probably be in usage 120 00:05:17,920 --> 00:05:20,960 Speaker 3: or the stickiness. And I'm assuming then you're signing up 121 00:05:20,960 --> 00:05:23,760 Speaker 3: more and more people. You're very enthusiastic amid all of 122 00:05:23,800 --> 00:05:29,240 Speaker 3: this potential competition. So give us an idea of customers, usership, 123 00:05:29,240 --> 00:05:32,440 Speaker 3: people sticking to the platform. Give us some metrics. 124 00:05:32,760 --> 00:05:36,760 Speaker 5: We're growing, we're going on, we have large demand. In fact, 125 00:05:36,760 --> 00:05:39,000 Speaker 5: September is one of our larger months. Just give it 126 00:05:39,080 --> 00:05:41,800 Speaker 5: back to school and back to office after the summertime 127 00:05:42,320 --> 00:05:43,760 Speaker 5: that in New Year's as you can tell, the New 128 00:05:43,800 --> 00:05:46,560 Speaker 5: Year's resolutions tend to be really heavy periods for us. 129 00:05:47,160 --> 00:05:49,600 Speaker 5: What I could say is we have millions of subscribing customers. 130 00:05:49,640 --> 00:05:53,200 Speaker 5: We're signing up thousands every single day. Demand has not 131 00:05:53,279 --> 00:05:55,800 Speaker 5: waned on this side of the equation. We're really excited 132 00:05:55,839 --> 00:05:58,720 Speaker 5: about the future. I actually get more excited about more 133 00:05:58,760 --> 00:06:01,719 Speaker 5: of the players showing interest and actually saying, hey, look 134 00:06:01,839 --> 00:06:04,560 Speaker 5: this is cool. Understand a language. Play with a language. 135 00:06:04,640 --> 00:06:06,400 Speaker 5: But when you want to go really learn a language, 136 00:06:06,560 --> 00:06:08,600 Speaker 5: go to the providers you trust to, such as TAMU. 137 00:06:08,640 --> 00:06:10,520 Speaker 3: Say millions, it'd be great if you get one millions, 138 00:06:10,520 --> 00:06:12,520 Speaker 3: a lot different than ten million or twenty million. So 139 00:06:12,680 --> 00:06:14,880 Speaker 3: just give us an idea if you could. And how 140 00:06:14,920 --> 00:06:17,680 Speaker 3: much is corporate versus kind of individual? And what are 141 00:06:17,720 --> 00:06:20,080 Speaker 3: folks paying for a subscription? And how long do they 142 00:06:20,080 --> 00:06:20,599 Speaker 3: stay with you? 143 00:06:21,800 --> 00:06:22,000 Speaker 4: Yeah? 144 00:06:22,000 --> 00:06:24,039 Speaker 5: I know probably have over two thousand business clients b 145 00:06:24,080 --> 00:06:25,480 Speaker 5: to be clients. So I can tell you that we 146 00:06:25,640 --> 00:06:28,800 Speaker 5: just signed Inner Miami Football Club. They're using it for 147 00:06:28,800 --> 00:06:31,479 Speaker 5: their players, their coaches, their teams in order to teach 148 00:06:31,520 --> 00:06:33,400 Speaker 5: them the languages and what they need to be. We've 149 00:06:33,400 --> 00:06:35,320 Speaker 5: created a custom content for them as well, which gets 150 00:06:35,320 --> 00:06:37,520 Speaker 5: really exciting. But I can tell you it's millions of 151 00:06:38,160 --> 00:06:39,800 Speaker 5: consumer customers, and I can tell you it's more than 152 00:06:39,839 --> 00:06:41,440 Speaker 5: one million, and it's more than two million, and it's 153 00:06:41,440 --> 00:06:43,920 Speaker 5: more than three million, so it goes on up from there. 154 00:06:44,000 --> 00:06:44,240 Speaker 4: Yeah. 155 00:06:44,360 --> 00:06:49,520 Speaker 3: So and what do people pay corporate versus individuals? Yeah? 156 00:06:50,080 --> 00:06:52,760 Speaker 5: Yeah, so on individuals, there's a variety of packages as 157 00:06:52,760 --> 00:06:54,800 Speaker 5: you can imagine there's a variety of price points. We 158 00:06:54,800 --> 00:06:57,159 Speaker 5: have a lifetime price point that we can that users 159 00:06:57,160 --> 00:06:58,800 Speaker 5: can subscribe for a life and they get all of 160 00:06:58,880 --> 00:07:01,000 Speaker 5: the features and all of the things that we actually 161 00:07:01,760 --> 00:07:05,320 Speaker 5: upsell to and then you know, there's monthly plans. It 162 00:07:05,360 --> 00:07:07,920 Speaker 5: is the normal subscription model for what users want from 163 00:07:07,960 --> 00:07:08,680 Speaker 5: any moment of time. 164 00:07:09,960 --> 00:07:12,000 Speaker 3: All right, but give me an idea. So Tim wants 165 00:07:12,040 --> 00:07:15,240 Speaker 3: to learn what language Spanish? Spanish? 166 00:07:15,320 --> 00:07:16,720 Speaker 2: Practice my Spanish better. 167 00:07:16,760 --> 00:07:18,520 Speaker 3: He just wants to kind of learn Spanish, So give 168 00:07:18,560 --> 00:07:20,200 Speaker 3: us an idea. So he signs up, and what would 169 00:07:20,240 --> 00:07:22,240 Speaker 3: you be paying, like on a monthly basis or if 170 00:07:22,240 --> 00:07:23,440 Speaker 3: you wanted the lifetime yes? 171 00:07:23,680 --> 00:07:27,239 Speaker 5: Yeah, yeah, So if Tim you came to the site 172 00:07:27,280 --> 00:07:30,080 Speaker 5: and signed up and downloaded the app, you could pay 173 00:07:30,080 --> 00:07:32,200 Speaker 5: one hundred and ninety nine for the lifetime and then 174 00:07:32,400 --> 00:07:35,120 Speaker 5: there's also discuts available, as all good subscription sides have. 175 00:07:35,800 --> 00:07:37,240 Speaker 4: But then there's the monthly fee. 176 00:07:37,040 --> 00:07:38,640 Speaker 5: Of twenty nine ninety nine that you could be paying 177 00:07:38,640 --> 00:07:39,040 Speaker 5: as well. 178 00:07:39,280 --> 00:07:42,880 Speaker 2: So okay, so why could do one nine nine for life? Yeah, 179 00:07:42,920 --> 00:07:44,800 Speaker 2: that's a lot less expensive than competitors such as do 180 00:07:44,880 --> 00:07:47,080 Speaker 2: a Lingo, which is you know that plus sum I 181 00:07:47,080 --> 00:07:47,880 Speaker 2: think per year. 182 00:07:48,160 --> 00:07:51,960 Speaker 3: So no catch, come on, no catch, So Tim signs up. 183 00:07:52,120 --> 00:07:54,840 Speaker 3: I mean, and that's provided you stick around. No, I'm 184 00:07:54,840 --> 00:07:56,440 Speaker 3: not trying to say, but right like, you've got to 185 00:07:56,480 --> 00:07:58,920 Speaker 3: be around, right yeah. 186 00:07:58,920 --> 00:08:01,360 Speaker 5: I look, with any languaeing, there has to be a 187 00:08:01,640 --> 00:08:03,880 Speaker 5: real commitment to it and you have to actually practice 188 00:08:03,920 --> 00:08:04,520 Speaker 5: and utilize it. 189 00:08:04,600 --> 00:08:04,760 Speaker 3: Right. 190 00:08:04,800 --> 00:08:05,960 Speaker 4: But we see the. 191 00:08:06,000 --> 00:08:09,520 Speaker 5: Life happens right the families. You know, I have kids. 192 00:08:09,840 --> 00:08:11,920 Speaker 5: I'm learning German right now. Right, I've moved to Berlin 193 00:08:11,960 --> 00:08:14,800 Speaker 5: for the job. I knew very little German altogether. But 194 00:08:14,840 --> 00:08:16,560 Speaker 5: what I could tell you is I have life come up, 195 00:08:16,560 --> 00:08:18,880 Speaker 5: the kids have school, the kids have activities. I will 196 00:08:18,920 --> 00:08:20,920 Speaker 5: pick up, I will put down. I will pick up 197 00:08:20,960 --> 00:08:23,400 Speaker 5: and put down. But the one nine nights of life. 198 00:08:24,040 --> 00:08:28,600 Speaker 2: Okay, interesting. We I'm curious about do a lingo in 199 00:08:28,640 --> 00:08:31,760 Speaker 2: the competition that you see there. I'm wondering if you've 200 00:08:31,800 --> 00:08:35,000 Speaker 2: considered moving outside of languages. We we use dual linguo 201 00:08:35,080 --> 00:08:38,480 Speaker 2: at home, but more so for chess and reading with 202 00:08:38,520 --> 00:08:41,920 Speaker 2: our kids. I don't know if it works, but it's great. 203 00:08:41,960 --> 00:08:44,800 Speaker 2: The six year old has fun than we do for 204 00:08:45,120 --> 00:08:45,960 Speaker 2: Spanish right now. 205 00:08:47,320 --> 00:08:47,800 Speaker 4: Yeah. 206 00:08:48,080 --> 00:08:50,200 Speaker 5: Yeah, you hit the core market there, which is the 207 00:08:50,240 --> 00:08:53,080 Speaker 5: games are great and the great learning transmission, especially for 208 00:08:53,120 --> 00:08:56,920 Speaker 5: the younger audiences. Right now, our specialty is language learning, 209 00:08:57,120 --> 00:09:00,160 Speaker 5: where we're we really focus on that, we folks, on 210 00:09:00,200 --> 00:09:02,880 Speaker 5: the transmission of language learning. We want to make sure 211 00:09:02,960 --> 00:09:04,840 Speaker 5: that you have the most effective means in order to 212 00:09:04,840 --> 00:09:07,400 Speaker 5: go from a zero to one conversation. And the way 213 00:09:07,400 --> 00:09:10,080 Speaker 5: we look at that is you feel confident walking into 214 00:09:10,120 --> 00:09:12,480 Speaker 5: a room and being able to know that you're speaking 215 00:09:12,480 --> 00:09:14,600 Speaker 5: the language in which you're looking to speak. So we 216 00:09:14,800 --> 00:09:19,000 Speaker 5: focus all of our linguistics, all of our teachers, all 217 00:09:19,040 --> 00:09:21,560 Speaker 5: of the human centric pieces, and then we actually use 218 00:09:21,600 --> 00:09:24,880 Speaker 5: AI as the tool to facilitate that in order to 219 00:09:24,880 --> 00:09:27,360 Speaker 5: help make that happen faster. So that Will Speak is 220 00:09:27,360 --> 00:09:29,360 Speaker 5: a good example of that, where we continue to allow 221 00:09:29,400 --> 00:09:32,520 Speaker 5: you to practice speaking, continue to allow you the conversations, 222 00:09:32,720 --> 00:09:34,800 Speaker 5: but we're hyper focused there. We really think that the 223 00:09:34,800 --> 00:09:36,800 Speaker 5: games are going to leave to other people. We're focused 224 00:09:36,840 --> 00:09:38,040 Speaker 5: on the languages you are. 225 00:09:38,120 --> 00:09:41,439 Speaker 3: Okay, So that's a note like moving outside of languages. 226 00:09:41,559 --> 00:09:44,760 Speaker 5: Okay, Yeah, languages are sweet spot when it. 227 00:09:44,760 --> 00:09:46,679 Speaker 3: Comes to the AI spend and something we talk about 228 00:09:46,720 --> 00:09:49,840 Speaker 3: a lot, right, I'm curious about what you guys are spending. 229 00:09:49,960 --> 00:09:52,280 Speaker 3: What are you spending it on? Is it on engineering talent. 230 00:09:52,400 --> 00:09:55,000 Speaker 3: Is a data centers, is it content? Is it something else? 231 00:09:56,360 --> 00:09:59,720 Speaker 5: Yeah, we've be cashful Positives twenty eleven. It's a private company, 232 00:10:00,000 --> 00:10:03,000 Speaker 5: so we're not out there raising capital. We are well funded. 233 00:10:03,040 --> 00:10:05,640 Speaker 5: We're doing very well. Where we reinvest on our capex 234 00:10:05,720 --> 00:10:08,160 Speaker 5: is we look for engineers, we're looking on AI talent, 235 00:10:08,200 --> 00:10:11,080 Speaker 5: We're looking at the infrastructure. We're investing in what's going 236 00:10:11,120 --> 00:10:13,600 Speaker 5: to actually transmit and actually forward the future. We actually 237 00:10:13,640 --> 00:10:16,240 Speaker 5: think that this is an exciting time to be really 238 00:10:16,280 --> 00:10:19,120 Speaker 5: looking at product features with our proprietary data set and 239 00:10:19,160 --> 00:10:21,840 Speaker 5: our proprietary motes that we have inside of our ecosystem. 240 00:10:22,160 --> 00:10:25,040 Speaker 5: You know, we have hundreds of millions of lessons completed 241 00:10:25,080 --> 00:10:28,440 Speaker 5: a year. That's very rich data to be taking into 242 00:10:28,440 --> 00:10:32,000 Speaker 5: proprietary llms and data models and really working inside of 243 00:10:32,040 --> 00:10:34,520 Speaker 5: the AI to work towards the most effective product in 244 00:10:34,600 --> 00:10:35,880 Speaker 5: terms of transmitting the language. 245 00:10:36,000 --> 00:10:40,640 Speaker 2: Are you at this point able to use AI to 246 00:10:40,720 --> 00:10:44,200 Speaker 2: create language courses? Are you able to use AI to 247 00:10:44,440 --> 00:10:46,960 Speaker 2: do what humans used to do in recent years? 248 00:10:48,280 --> 00:10:50,440 Speaker 5: We actually married the two. You know, where the real 249 00:10:50,480 --> 00:10:54,160 Speaker 5: sweet spot was is not in removing people from creating 250 00:10:54,200 --> 00:10:56,920 Speaker 5: the languages. It's facilitating the people to create the languages, 251 00:10:57,000 --> 00:10:59,080 Speaker 5: so we do. Just to answer your question directly, we 252 00:10:59,120 --> 00:11:01,600 Speaker 5: do use AI. We use it with the human centric piece. 253 00:11:01,960 --> 00:11:04,199 Speaker 5: We've always found that our linguists and are also our 254 00:11:04,200 --> 00:11:07,439 Speaker 5: teachers are the best to formulate all of the content 255 00:11:07,600 --> 00:11:10,640 Speaker 5: so it can transmit better than anyone else and more effective. 256 00:11:11,120 --> 00:11:13,240 Speaker 5: And so what we find is we marry the human 257 00:11:13,600 --> 00:11:15,719 Speaker 5: with the AI tools. So we're using the blend of 258 00:11:15,760 --> 00:11:18,640 Speaker 5: both goals. We haven't replaced jobs in order just to 259 00:11:18,640 --> 00:11:19,720 Speaker 5: replace jobs. 260 00:11:19,960 --> 00:11:22,880 Speaker 3: All right, I've got one really really important last question 261 00:11:22,960 --> 00:11:25,080 Speaker 3: for you, Tim, how's the German going? Sure, how's the 262 00:11:25,120 --> 00:11:25,720 Speaker 3: German going? 263 00:11:25,840 --> 00:11:29,360 Speaker 5: You know, I'm be Schinzpec and de Deutsch, so it's 264 00:11:30,000 --> 00:11:33,240 Speaker 5: using my Babbel every day, very little, but I'm learning 265 00:11:33,520 --> 00:11:34,120 Speaker 5: very slowly. 266 00:11:34,200 --> 00:11:36,120 Speaker 2: So okay, maybe next time he's on we do the 267 00:11:36,120 --> 00:11:37,760 Speaker 2: interview in German, we get Matt Miller in here. 268 00:11:38,040 --> 00:11:39,800 Speaker 5: Oh I'm on, I'm game. 269 00:11:40,000 --> 00:11:42,680 Speaker 3: Matt would definitely do that really really well. All right, Tim, 270 00:11:42,720 --> 00:11:46,079 Speaker 3: thanks so much fun to talk with you and get 271 00:11:46,080 --> 00:11:47,880 Speaker 3: some time and hear what you guys are doing, especially 272 00:11:47,920 --> 00:11:50,080 Speaker 3: when it comes to AI to incorporate and get in 273 00:11:50,320 --> 00:11:55,679 Speaker 3: Tim Alan, chief executive officer of Babbel, joining us from Berlin, Germany,