1 00:00:02,520 --> 00:00:07,800 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio new We saw that with 2 00:00:07,840 --> 00:00:09,040 Speaker 1: the stocks pairing games today. 3 00:00:09,080 --> 00:00:11,160 Speaker 2: It's just a reminder that when we think we can't 4 00:00:11,160 --> 00:00:13,360 Speaker 2: be surprised, we still can as certainly as investors, and 5 00:00:13,360 --> 00:00:16,480 Speaker 2: that plays out the markets react very quickly, very swiftly, 6 00:00:16,840 --> 00:00:19,639 Speaker 2: and you can see that clearly in the trade. All right, 7 00:00:19,720 --> 00:00:22,520 Speaker 2: you are listening and watching Bloomberg BusinessWeek Daily, Carol Master, 8 00:00:22,600 --> 00:00:25,279 Speaker 2: Tim's Stanevik life here and I believe we can go 9 00:00:25,360 --> 00:00:28,600 Speaker 2: to our guest. We're doing this at a real time. 10 00:00:28,640 --> 00:00:30,760 Speaker 2: You guys are seeing the sausage be made. Michael Lobe 11 00:00:31,040 --> 00:00:33,479 Speaker 2: is with us. This is his home, this is his event. 12 00:00:33,840 --> 00:00:37,480 Speaker 2: He's the founder and CEO of lob dot NYC, and 13 00:00:37,680 --> 00:00:41,000 Speaker 2: he co founded Uncharted a few years ago, and I 14 00:00:41,040 --> 00:00:42,640 Speaker 2: got to talk to you this morning. So I feel 15 00:00:42,760 --> 00:00:44,640 Speaker 2: kind of doubly blessed to get some more time with you. 16 00:00:45,720 --> 00:00:47,840 Speaker 2: The event is underway. Tell us about what you're hearing 17 00:00:47,880 --> 00:00:48,599 Speaker 2: some of the things so. 18 00:00:48,600 --> 00:00:52,760 Speaker 3: Far, well, I think that there's a great deal of buzz. 19 00:00:53,920 --> 00:00:56,920 Speaker 3: Most people are saying exactly what you are, which is 20 00:00:56,960 --> 00:01:00,440 Speaker 3: that they're doubly blessed just to be here and get 21 00:01:00,440 --> 00:01:04,720 Speaker 3: to know everybody else. But I mean, the if you 22 00:01:05,000 --> 00:01:07,039 Speaker 3: were to take a look at the background, you would see, 23 00:01:07,160 --> 00:01:11,520 Speaker 3: you know, six hundred people talking to six hundred other people. 24 00:01:12,520 --> 00:01:15,600 Speaker 3: It's quite the event. And what we really want to 25 00:01:15,640 --> 00:01:21,160 Speaker 3: do is foster relationships between investors and companies, between companies 26 00:01:21,200 --> 00:01:25,720 Speaker 3: and companies, and between you know, CEOs looking for talent 27 00:01:25,880 --> 00:01:30,119 Speaker 3: and talent looking for CEOs. So I think I think 28 00:01:30,160 --> 00:01:34,240 Speaker 3: a good time is being had by all. And certainly 29 00:01:34,319 --> 00:01:37,200 Speaker 3: the weather has been totally cooperating. I think you had 30 00:01:37,240 --> 00:01:39,240 Speaker 3: something to do with that, So I thank you for that. 31 00:01:39,319 --> 00:01:43,280 Speaker 3: You're very welcome, right So, yeah, little tiny Wendy, if 32 00:01:43,319 --> 00:01:44,520 Speaker 3: you could take that down. 33 00:01:45,400 --> 00:01:46,920 Speaker 1: It's just kind of perfect. It beats the weather we 34 00:01:46,959 --> 00:01:49,360 Speaker 1: had earlier this week. I was a little concerned about that. 35 00:01:50,080 --> 00:01:51,880 Speaker 1: You know, an event like this, you've been doing this 36 00:01:51,920 --> 00:01:54,200 Speaker 1: for a few years, started during the pandemic, started a 37 00:01:54,240 --> 00:01:56,960 Speaker 1: lot smaller. How do you And I heard you say 38 00:01:57,000 --> 00:02:00,520 Speaker 1: earlier today and your partner say this too, Noah, that 39 00:02:00,720 --> 00:02:03,040 Speaker 1: he is running into people constantly. You say, yeah, they 40 00:02:03,120 --> 00:02:05,320 Speaker 1: raised money as a result of being here. They found 41 00:02:05,320 --> 00:02:08,320 Speaker 1: a co founder here, they found employees here. How do 42 00:02:08,360 --> 00:02:10,840 Speaker 1: you measure the success of an event such as this 43 00:02:11,080 --> 00:02:12,960 Speaker 1: In the days, weeks and months following. 44 00:02:12,600 --> 00:02:14,600 Speaker 3: It, right, I wish we could because I should have 45 00:02:14,600 --> 00:02:15,680 Speaker 3: a big on all that. 46 00:02:16,560 --> 00:02:18,520 Speaker 1: Yes, so we were just talking to Damon John like 47 00:02:18,600 --> 00:02:20,640 Speaker 1: you know, shark tank kind of thing. Yeah, maybe you 48 00:02:20,639 --> 00:02:21,520 Speaker 1: could kind of get in on that. 49 00:02:21,840 --> 00:02:25,920 Speaker 3: I don't know it for a long time. So, you know, 50 00:02:25,960 --> 00:02:28,960 Speaker 3: I got to tell you we do solicit testimonials of 51 00:02:29,080 --> 00:02:32,160 Speaker 3: exactly the things that you're talking about. We have quite 52 00:02:32,160 --> 00:02:35,200 Speaker 3: a few of people saying, you know, I met my 53 00:02:35,440 --> 00:02:39,440 Speaker 3: founder there about two years ago. Uh no, and I 54 00:02:39,480 --> 00:02:43,480 Speaker 3: get an invitation and who was shrouded in mystery? And 55 00:02:44,000 --> 00:02:46,840 Speaker 3: it was three women who had us go to an 56 00:02:46,880 --> 00:02:51,720 Speaker 3: event downtown and they brought us up on stage. Everybody 57 00:02:51,760 --> 00:02:54,280 Speaker 3: started a clap, And what that was is these were 58 00:02:54,360 --> 00:02:57,240 Speaker 3: three women never met before. They were all, you know, 59 00:02:57,400 --> 00:03:01,400 Speaker 3: elite athletes, and they decided they're should be a fund 60 00:03:02,240 --> 00:03:05,720 Speaker 3: supporting elite athletes that they had a different point of view, 61 00:03:06,200 --> 00:03:09,720 Speaker 3: a different sense of how to compete, and they all 62 00:03:09,760 --> 00:03:12,960 Speaker 3: got along very very well, and that thesis led to 63 00:03:13,040 --> 00:03:15,360 Speaker 3: a fifty million dollar fund. So it's that type of 64 00:03:15,360 --> 00:03:17,400 Speaker 3: thing that you know, really propels us. 65 00:03:17,480 --> 00:03:19,359 Speaker 2: Well, talk to us about you know capital, how much 66 00:03:19,440 --> 00:03:20,519 Speaker 2: is out there for startups? 67 00:03:20,560 --> 00:03:24,040 Speaker 3: Wow? You know It's funny things go in cycles. As 68 00:03:24,080 --> 00:03:28,560 Speaker 3: you know, this is not an up cycle for capital formation. 69 00:03:29,919 --> 00:03:33,440 Speaker 3: Last numbers I looked at and they're a little bit stale, 70 00:03:33,440 --> 00:03:37,040 Speaker 3: but you know, down sixty or seventy percent. Certainly the 71 00:03:37,160 --> 00:03:41,760 Speaker 3: secondary market, if that's any indication at all, does illustrate that, 72 00:03:42,040 --> 00:03:45,920 Speaker 3: you know, there's a lot of illiquidity looking to get liquid. 73 00:03:46,920 --> 00:03:51,920 Speaker 3: Not nearly as frothy as it used to be was IPOs, 74 00:03:51,960 --> 00:03:54,320 Speaker 3: even though that's starting to unlock a little bit. So No, 75 00:03:54,480 --> 00:03:58,600 Speaker 3: it's it is hard and the money does gravitate these 76 00:03:58,680 --> 00:04:01,480 Speaker 3: days to AI, so you need, you know, if you have. 77 00:04:01,480 --> 00:04:03,560 Speaker 2: So when there is an idea, when there is a startup, 78 00:04:03,560 --> 00:04:04,200 Speaker 2: that's where it goes. 79 00:04:04,360 --> 00:04:09,040 Speaker 3: It goes there, right. And what folks don't I think, 80 00:04:09,120 --> 00:04:13,840 Speaker 3: really realize or appreciate is the forces at play in 81 00:04:14,080 --> 00:04:18,760 Speaker 3: venture and venture funding, venture capital, which is I sometimes 82 00:04:18,760 --> 00:04:21,840 Speaker 3: call it a beauty contest, and that is because there's 83 00:04:21,920 --> 00:04:25,560 Speaker 3: one breakout winner in a category and then all the 84 00:04:25,720 --> 00:04:29,640 Speaker 3: LPs are asking their gps, you know, what is your 85 00:04:29,800 --> 00:04:32,680 Speaker 3: AI strategy? And if the answer is, you know, we 86 00:04:32,720 --> 00:04:34,800 Speaker 3: think it's a little over sold, we think it's a 87 00:04:34,800 --> 00:04:37,800 Speaker 3: little bit you know, frothy. Whereas there's going to be 88 00:04:38,360 --> 00:04:40,719 Speaker 3: a couple of winners and a lot of losers. We're 89 00:04:40,880 --> 00:04:44,080 Speaker 3: taking a wait and see attitude. The answer is bye bye. 90 00:04:44,240 --> 00:04:46,840 Speaker 3: I'm bringing my money to that fund that made that investment. 91 00:04:46,960 --> 00:04:49,400 Speaker 3: So a lot of pressure for them to jump in. 92 00:04:50,120 --> 00:04:53,359 Speaker 3: And it's in those situations that you know, not so 93 00:04:53,560 --> 00:04:54,799 Speaker 3: good deals are made. 94 00:04:55,080 --> 00:04:58,599 Speaker 1: Right, So yeah, does it you know, in terms of cycles, 95 00:04:58,600 --> 00:05:00,920 Speaker 1: does it feel like this AI cycle is different than 96 00:05:01,000 --> 00:05:03,720 Speaker 1: previous tech hype cycles? And the reason I ask and look, 97 00:05:03,760 --> 00:05:05,640 Speaker 1: nobody wants to hear or utter the phrase this time 98 00:05:05,720 --> 00:05:07,559 Speaker 1: is different. But if you look out at the private 99 00:05:07,600 --> 00:05:10,760 Speaker 1: markets right now, you've got skyhad evaluations. I think many 100 00:05:10,760 --> 00:05:16,440 Speaker 1: would argue for open AI right, for anthropic, for perplexity. 101 00:05:17,120 --> 00:05:19,919 Speaker 1: You have meta platforms coming in and dropping billions of 102 00:05:19,920 --> 00:05:22,320 Speaker 1: dollars to buy forty nine percent of an AI company 103 00:05:22,320 --> 00:05:26,000 Speaker 1: that barely existed. You have founders being poached. We're talking 104 00:05:26,000 --> 00:05:31,560 Speaker 1: one hundred million dollar signing bonuses force an individual to 105 00:05:31,680 --> 00:05:33,040 Speaker 1: go to a large company. 106 00:05:33,360 --> 00:05:36,120 Speaker 3: Right, So I'm I look at my mailbox every day, 107 00:05:36,200 --> 00:05:38,520 Speaker 3: I'm looking for one hundred million dollar check hasn't come 108 00:05:38,560 --> 00:05:40,240 Speaker 3: in yet, Right, So if you're going to range. 109 00:05:40,920 --> 00:05:43,800 Speaker 1: You know, you know, make make your web your web 110 00:05:43,839 --> 00:05:46,240 Speaker 1: browser or your you know, your website dot ai and 111 00:05:46,279 --> 00:05:46,960 Speaker 1: maybe it'll happen. 112 00:05:47,040 --> 00:05:50,400 Speaker 3: I don't know that. So to me, and this is 113 00:05:50,480 --> 00:05:54,360 Speaker 3: not quite answering your question, but I'm it's all about me, 114 00:05:54,480 --> 00:05:57,360 Speaker 3: So I'm going to answer it from my perspective, which 115 00:05:57,440 --> 00:06:00,240 Speaker 3: is that to me, it feels different. Now, what does 116 00:06:00,279 --> 00:06:04,240 Speaker 3: it feel like? I've been around for long enough, so 117 00:06:04,520 --> 00:06:08,479 Speaker 3: I'm something of the elder statement statesman here. I've been 118 00:06:08,520 --> 00:06:11,560 Speaker 3: around long enough that I've seen a few cycles. This 119 00:06:11,680 --> 00:06:14,640 Speaker 3: feels like the late nineties and the late nineties was 120 00:06:14,640 --> 00:06:17,240 Speaker 3: the advent of the internet, right, and it feels this 121 00:06:17,520 --> 00:06:22,560 Speaker 3: profound now. You know, people can say, well, you know, 122 00:06:22,600 --> 00:06:24,320 Speaker 3: if we look back two or three years, it was 123 00:06:24,720 --> 00:06:27,520 Speaker 3: NFTs and that was a false positive, and before that 124 00:06:27,960 --> 00:06:30,839 Speaker 3: it was blockchain, which was sort of a false positive. 125 00:06:30,880 --> 00:06:33,400 Speaker 3: And before that it was cannabis, and before that it 126 00:06:33,440 --> 00:06:38,560 Speaker 3: was bitcoin. But this one feels real, and this has 127 00:06:38,640 --> 00:06:43,880 Speaker 3: the possibility of disrupting entire industries. I had breakfast, by 128 00:06:43,880 --> 00:06:47,680 Speaker 3: the way with a friend this past week. He has 129 00:06:47,720 --> 00:06:50,680 Speaker 3: a unicorn business is worth almost two billion dollars. He 130 00:06:50,720 --> 00:06:53,480 Speaker 3: has two hundred and seventy people, and he said, Michael, 131 00:06:53,520 --> 00:06:55,680 Speaker 3: by year end it's one hundred and twenty. 132 00:06:55,600 --> 00:06:57,919 Speaker 1: Meaning he is going to lay people off because AI 133 00:06:57,960 --> 00:06:59,680 Speaker 1: has been selefficient. 134 00:06:59,160 --> 00:07:02,599 Speaker 3: Right, fast growing company, super fast growing company. 135 00:07:02,880 --> 00:07:05,320 Speaker 1: That's really scary, I know, but that's what's going on. 136 00:07:05,680 --> 00:07:07,920 Speaker 1: And so do you think so do you think there 137 00:07:07,960 --> 00:07:09,680 Speaker 1: is something? Do you think there is something to what 138 00:07:09,760 --> 00:07:13,880 Speaker 1: Dario Amadae has said, who's the founder of Anthropic. Among 139 00:07:13,920 --> 00:07:17,560 Speaker 1: the co founders of Anthropic, there are many that in 140 00:07:17,600 --> 00:07:20,440 Speaker 1: a couple of years we're going to see a serious 141 00:07:20,520 --> 00:07:23,560 Speaker 1: uptick in unemployment as a result of this tech, like 142 00:07:23,680 --> 00:07:26,120 Speaker 1: this is something policymakers need to be freaking out about 143 00:07:26,160 --> 00:07:26,480 Speaker 1: right now. 144 00:07:26,600 --> 00:07:30,000 Speaker 3: Yeah, well, look, I respectfully disagree, and all I have 145 00:07:30,080 --> 00:07:33,520 Speaker 3: to go on is history and starting in the seventeen hundreds, 146 00:07:33,640 --> 00:07:36,400 Speaker 3: right when there was that industrial revolution in England, and 147 00:07:36,520 --> 00:07:38,840 Speaker 3: we've burned down all the factories with a spinning wheel, 148 00:07:38,920 --> 00:07:42,600 Speaker 3: thinking everybody would be unemployed. That has not happened, but 149 00:07:43,280 --> 00:07:49,480 Speaker 3: markets employment people have an amazing ability to retrain themselves 150 00:07:49,520 --> 00:07:52,560 Speaker 3: find the opportunities. In the end, I think we're going 151 00:07:52,600 --> 00:07:54,600 Speaker 3: to be okay. Is there going to be some displacement. 152 00:07:54,640 --> 00:07:58,160 Speaker 3: There's always some displacement. I hope you find out find 153 00:07:58,200 --> 00:08:00,480 Speaker 3: something that we can have less lawyers because we'd use 154 00:08:00,600 --> 00:08:03,680 Speaker 3: less wars. But I think at the end of the day, 155 00:08:05,160 --> 00:08:08,440 Speaker 3: you know, brilliant people are going to find find their way. 156 00:08:08,520 --> 00:08:12,040 Speaker 3: And the people you're talking about are very smart people, engineers. 157 00:08:12,360 --> 00:08:14,440 Speaker 3: They will find their way. We're always going to need them. 158 00:08:15,000 --> 00:08:17,800 Speaker 3: And you know, this is going to be like every 159 00:08:17,920 --> 00:08:21,160 Speaker 3: other labor saving prediction. This is going to be just 160 00:08:21,240 --> 00:08:21,840 Speaker 3: another one. 161 00:08:21,960 --> 00:08:23,880 Speaker 2: All right, We're gonna unfortunately have to leave it there. 162 00:08:23,880 --> 00:08:25,800 Speaker 2: But thank you for inviting us. This has been fun. 163 00:08:26,400 --> 00:08:31,440 Speaker 3: Thank you for inviting me. Guys, I believe this is yours. 164 00:08:32,720 --> 00:08:35,000 Speaker 3: Oh that's not what they told me. They said after today, 165 00:08:35,040 --> 00:08:38,720 Speaker 3: it's all yours. That's not right, Michael, so nice. 166 00:08:39,080 --> 00:08:41,880 Speaker 2: Oh the key is please Michael Lowe, founder and CEO 167 00:08:42,559 --> 00:08:45,440 Speaker 2: of Lobe dot NYC. All right, coming up next, we're 168 00:08:45,480 --> 00:08:47,199 Speaker 2: also going to get to I guess I want to 169 00:08:47,200 --> 00:08:49,920 Speaker 2: say almost another serial entrepreneur, another biggest