1 00:00:00,960 --> 00:00:04,480 Speaker 1: This is Bloomberg Business Week with Carol Masser and Jason 2 00:00:04,600 --> 00:00:08,480 Speaker 1: Kelly from Bloomberg Radio. I'm Jason Kelly and I'm Carol Masser. 3 00:00:08,560 --> 00:00:11,080 Speaker 1: Welcome to the Bloomberg Business Week Extra. It's our weekly 4 00:00:11,119 --> 00:00:13,520 Speaker 1: podcast bringing you an in depth interview you will not 5 00:00:13,640 --> 00:00:17,080 Speaker 1: hear anywhere else. And this conversation, Jason, it's one that 6 00:00:17,120 --> 00:00:20,239 Speaker 1: went a lot of places I didn't expect. Absolutely, we 7 00:00:20,280 --> 00:00:22,400 Speaker 1: went into this. We were excited to talk to Rob 8 00:00:22,480 --> 00:00:26,159 Speaker 1: Lacatio because his company Live Person, it's been around for 9 00:00:26,200 --> 00:00:28,280 Speaker 1: a while. Obviously their business has changed a lot in 10 00:00:28,280 --> 00:00:31,080 Speaker 1: the pandemic. As we think about customer service, we think 11 00:00:31,120 --> 00:00:34,360 Speaker 1: about changing customer behavior. But then we sort of took 12 00:00:34,360 --> 00:00:36,920 Speaker 1: it down level in some ways because we started to 13 00:00:36,920 --> 00:00:40,159 Speaker 1: talk about his background as a lifelong New Yorker, as 14 00:00:40,200 --> 00:00:42,760 Speaker 1: an entrepreneur who has been very involved in the New 15 00:00:42,840 --> 00:00:46,560 Speaker 1: York scene, and also what he's done as a philanthropist 16 00:00:46,600 --> 00:00:49,000 Speaker 1: and someone who's really given a lot back to the 17 00:00:49,000 --> 00:00:51,240 Speaker 1: New York community. Check it out. You know, we build 18 00:00:51,240 --> 00:00:56,560 Speaker 1: platforms to allow consumers to communicate with their favorite brands, 19 00:00:57,360 --> 00:01:01,160 Speaker 1: and you know the contact center is which normally would 20 00:01:01,200 --> 00:01:06,319 Speaker 1: handle these communications, have been shut down because of social distancing, 21 00:01:07,120 --> 00:01:09,720 Speaker 1: and you know, I've always been we we've been providing 22 00:01:09,760 --> 00:01:12,920 Speaker 1: messaging platforms in AI, not voice platforms, like the eight 23 00:01:13,000 --> 00:01:16,039 Speaker 1: hundred numbers were against that, and the voice contact centers 24 00:01:16,080 --> 00:01:18,360 Speaker 1: really got shut down and there's been a real issue 25 00:01:18,480 --> 00:01:22,840 Speaker 1: with getting through the brands and getting your phone calls answered, 26 00:01:22,920 --> 00:01:25,440 Speaker 1: and it's gotten worse than it ever has. And so 27 00:01:25,560 --> 00:01:30,080 Speaker 1: we've just seen this massive shift into our platform and uh, 28 00:01:30,160 --> 00:01:32,080 Speaker 1: you know, it's just it's been a real ride over 29 00:01:32,080 --> 00:01:34,200 Speaker 1: the last couple of weeks, so the last couple of 30 00:01:34,200 --> 00:01:38,679 Speaker 1: months actually, Yeah, And so you know it's interesting, Rob 31 00:01:38,760 --> 00:01:41,319 Speaker 1: because you guys have such a widow into sort of 32 00:01:41,440 --> 00:01:44,640 Speaker 1: human behavior, I guess, and we're all wondering. You know, 33 00:01:44,680 --> 00:01:48,320 Speaker 1: we were talking, uh during one of our local fills 34 00:01:48,360 --> 00:01:51,920 Speaker 1: earlier in the show for our New York audience about 35 00:01:52,440 --> 00:01:54,920 Speaker 1: you know, Wall Street interns and how they're having to 36 00:01:55,000 --> 00:01:57,080 Speaker 1: sort of adjust the way that they deal with there 37 00:01:57,120 --> 00:02:00,280 Speaker 1: would be bosses because they're you know, having to set 38 00:02:00,320 --> 00:02:03,040 Speaker 1: up zoom calls instead of you know, being those eager 39 00:02:03,080 --> 00:02:06,160 Speaker 1: beaver go getters who are like fetching lunch and doing 40 00:02:06,160 --> 00:02:09,480 Speaker 1: all that stuff that interns do in normal times. I 41 00:02:09,520 --> 00:02:14,280 Speaker 1: do wonder, you know, like how have you seen people's 42 00:02:14,400 --> 00:02:19,880 Speaker 1: behavior change. Look, it's it's the Context Center REPS is 43 00:02:19,960 --> 00:02:22,720 Speaker 1: fifteen million of them around the world. We're sent home 44 00:02:23,360 --> 00:02:26,239 Speaker 1: and normally they're in these you know, fixed locations, sitting 45 00:02:26,240 --> 00:02:28,480 Speaker 1: two feet from each other. And now they're taking phone 46 00:02:28,520 --> 00:02:32,799 Speaker 1: calls in their home while they have kids running around 47 00:02:32,880 --> 00:02:35,000 Speaker 1: and you know, just dealing with the stresses of that 48 00:02:35,520 --> 00:02:39,880 Speaker 1: and it's not working out that well. So you know, 49 00:02:40,360 --> 00:02:43,440 Speaker 1: I think the stress on this group of people and 50 00:02:43,760 --> 00:02:46,800 Speaker 1: is really tough. Now once again, the alternative is what 51 00:02:46,960 --> 00:02:50,600 Speaker 1: we're providing them as a way to become bobmakers and 52 00:02:50,639 --> 00:02:54,120 Speaker 1: create automations and and and really jump into the digital 53 00:02:54,160 --> 00:02:57,240 Speaker 1: world because that's the world that's growing, uh and and 54 00:02:57,240 --> 00:03:00,000 Speaker 1: really scaling, versus sitting there and trying to handle fall 55 00:03:00,000 --> 00:03:02,640 Speaker 1: and calls while you're in your home with some angry 56 00:03:02,680 --> 00:03:05,840 Speaker 1: customer screaming at you. And now in your home, I mean, 57 00:03:06,000 --> 00:03:08,360 Speaker 1: they got to take the work home. It doesn't make sense. 58 00:03:08,360 --> 00:03:11,400 Speaker 1: So there's really an opportunity here to kind of change 59 00:03:11,560 --> 00:03:14,079 Speaker 1: how they work and get them into the future or 60 00:03:14,120 --> 00:03:16,560 Speaker 1: they're gonna lose their jobs. This is really what I 61 00:03:16,560 --> 00:03:18,480 Speaker 1: think that the challenges for them right now with they're 62 00:03:18,480 --> 00:03:21,760 Speaker 1: facing well so give us I don't know how specific 63 00:03:21,800 --> 00:03:23,080 Speaker 1: you can get because you work with a lot of 64 00:03:23,160 --> 00:03:25,000 Speaker 1: you know, certainly well known brands, But give us a 65 00:03:25,120 --> 00:03:29,079 Speaker 1: for instance that you know, um, maybe how a brand 66 00:03:29,160 --> 00:03:31,800 Speaker 1: has kind of tapped into what you're doing, especially in 67 00:03:31,800 --> 00:03:35,360 Speaker 1: the specific environment that we're in. Yeah. So you know, 68 00:03:35,760 --> 00:03:38,680 Speaker 1: Chapoult is one of our one of our customers and 69 00:03:38,680 --> 00:03:42,760 Speaker 1: and uh, obviously going into a store and picking ingredients 70 00:03:42,760 --> 00:03:44,920 Speaker 1: and building a burrito you may or may not want 71 00:03:44,960 --> 00:03:48,000 Speaker 1: to really do that right now with the challenges and virus. 72 00:03:48,040 --> 00:03:51,680 Speaker 1: So we built with them an automation. It's called Pepper, 73 00:03:52,200 --> 00:03:55,440 Speaker 1: and through Facebook, Messenger or SMS, you can you can 74 00:03:55,720 --> 00:03:58,880 Speaker 1: you can converse with Pepper, and Pepper helps you build 75 00:03:58,920 --> 00:04:01,520 Speaker 1: your burrito and then you show up at the store 76 00:04:01,560 --> 00:04:03,000 Speaker 1: and they hand it to you. You don't have to 77 00:04:03,000 --> 00:04:05,640 Speaker 1: come in, they just hand it to you. So there's 78 00:04:06,080 --> 00:04:08,920 Speaker 1: that going on right now. We were seeing massive amounts 79 00:04:09,040 --> 00:04:13,320 Speaker 1: of interest in demand in the retail well because they've 80 00:04:13,400 --> 00:04:15,760 Speaker 1: been turned upside down. How do you get a consumer 81 00:04:15,760 --> 00:04:17,960 Speaker 1: engage when they don't feel comfortable coming in a store 82 00:04:18,520 --> 00:04:20,560 Speaker 1: and and that's really where we see have them talk 83 00:04:20,640 --> 00:04:24,960 Speaker 1: to an automation. Uh, you know, do curbside delivery. Um 84 00:04:24,960 --> 00:04:27,320 Speaker 1: that that's a whole different thing because retail is not 85 00:04:27,320 --> 00:04:29,640 Speaker 1: going to go under, It just is going to shift 86 00:04:29,680 --> 00:04:31,760 Speaker 1: into something different, which is gonna be powered by AI 87 00:04:31,880 --> 00:04:33,880 Speaker 1: and automation. We talked to us a little bit more 88 00:04:33,880 --> 00:04:35,640 Speaker 1: about that shift, because I think we do, you know, Jason, 89 00:04:35,680 --> 00:04:37,480 Speaker 1: I were talking earlier just about kind of the real 90 00:04:37,600 --> 00:04:40,040 Speaker 1: estate story of of retail, because they're certainly seeing it 91 00:04:40,040 --> 00:04:42,920 Speaker 1: in New York City as more retailers are shutting down. 92 00:04:43,120 --> 00:04:45,760 Speaker 1: Not a new story, but I do wonder, you know 93 00:04:45,880 --> 00:04:49,280 Speaker 1: how much in times of crisis we see transformations. So 94 00:04:49,320 --> 00:04:52,400 Speaker 1: what else happens to the retail environment that might feel 95 00:04:52,400 --> 00:04:55,000 Speaker 1: new or will feel new soon, but we'll soon become 96 00:04:55,040 --> 00:04:59,240 Speaker 1: also the norm. Look in China right now, and we're 97 00:04:59,240 --> 00:05:02,799 Speaker 1: actually launching platform in a couple of weeks. That's in China, 98 00:05:02,839 --> 00:05:06,840 Speaker 1: they do streaming shopping. Some of the most popular biggest 99 00:05:06,880 --> 00:05:09,800 Speaker 1: services are streaming shopping. And this is really people in 100 00:05:09,839 --> 00:05:14,120 Speaker 1: their homes with products, and like someone's trying on address 101 00:05:14,240 --> 00:05:17,520 Speaker 1: and there are people in real time and video asking 102 00:05:17,640 --> 00:05:20,280 Speaker 1: questions and messaging in and this person is trying on 103 00:05:20,279 --> 00:05:22,480 Speaker 1: something to say, try that other address on do this, 104 00:05:23,120 --> 00:05:25,839 Speaker 1: and and so you can imagine a world in which 105 00:05:26,360 --> 00:05:28,760 Speaker 1: you have people that are are trying things on, they're 106 00:05:28,800 --> 00:05:33,320 Speaker 1: they're explaining the products that you want to buy, and 107 00:05:33,320 --> 00:05:35,680 Speaker 1: and by video you can go ahead and engage and 108 00:05:35,760 --> 00:05:37,960 Speaker 1: you can message them also. And it could be one 109 00:05:38,000 --> 00:05:40,040 Speaker 1: too many, but but that I think is going to 110 00:05:40,120 --> 00:05:43,400 Speaker 1: happen because we can solve we were right now. I'm 111 00:05:43,440 --> 00:05:46,080 Speaker 1: working with one of the large home improvement companies were 112 00:05:46,160 --> 00:05:49,080 Speaker 1: virtualizing a store as and when you walk in, you 113 00:05:49,080 --> 00:05:51,520 Speaker 1: don't have to find a sales rep. Next to every 114 00:05:51,520 --> 00:05:54,719 Speaker 1: product is a QR code. You basically start messaging. You 115 00:05:54,760 --> 00:05:57,040 Speaker 1: can talk to an automation or a human who's not 116 00:05:57,120 --> 00:05:59,839 Speaker 1: in the store, and you can ask questions. We we 117 00:06:00,040 --> 00:06:03,080 Speaker 1: and solve that problem. The issue is walking in the store, 118 00:06:03,440 --> 00:06:06,280 Speaker 1: right And I think when we look at um, you know, 119 00:06:06,279 --> 00:06:08,120 Speaker 1: how do you get people set don't bump into each other? 120 00:06:08,960 --> 00:06:11,440 Speaker 1: So I think that we'll see what's streaming shopping. And 121 00:06:11,480 --> 00:06:14,200 Speaker 1: I said, we're releasing a platform very shortly to go 122 00:06:14,240 --> 00:06:16,280 Speaker 1: after this. I think that's gonna be a way for 123 00:06:16,320 --> 00:06:19,520 Speaker 1: you to release, engage and ask questions in your home 124 00:06:20,200 --> 00:06:21,960 Speaker 1: and then you'll be able to buy or do a 125 00:06:22,000 --> 00:06:24,240 Speaker 1: curbside picked up and or you know, and I think 126 00:06:24,240 --> 00:06:26,520 Speaker 1: that's that's really where the future is going to be. 127 00:06:26,880 --> 00:06:28,880 Speaker 1: Later on this hour, we're gonna take you to Washington 128 00:06:29,240 --> 00:06:33,560 Speaker 1: for briefing from the President uh a coronavirus briefing, and 129 00:06:33,600 --> 00:06:37,680 Speaker 1: as Carol mentioned earlier, often much more especially given everything 130 00:06:37,720 --> 00:06:39,680 Speaker 1: that's going on in the world. Let's get back in 131 00:06:39,720 --> 00:06:42,880 Speaker 1: the meantime to our conversation with Robotcatio. He is founder 132 00:06:42,920 --> 00:06:46,080 Speaker 1: and CEO of Live Person. He joins us on the 133 00:06:46,120 --> 00:06:49,320 Speaker 1: phone from Connecticut, and Rob, I want to take this 134 00:06:49,360 --> 00:06:53,000 Speaker 1: in a slightly different direction if I can, because knowing 135 00:06:53,240 --> 00:06:56,120 Speaker 1: a bit about your background, you've been incredibly involved in 136 00:06:56,160 --> 00:07:00,400 Speaker 1: the New York City startups scene and understanding sort of 137 00:07:00,440 --> 00:07:06,280 Speaker 1: what drives entrepreneurship, especially in New York City. There are 138 00:07:06,279 --> 00:07:10,120 Speaker 1: a lot of big, kind of existential concerns right now 139 00:07:10,160 --> 00:07:13,480 Speaker 1: about New York City, rightly or wrongly, something they're overblown, 140 00:07:13,640 --> 00:07:17,880 Speaker 1: something that we're underestimating the impact that everything that we're 141 00:07:17,880 --> 00:07:20,280 Speaker 1: going through could have a New York City. What's your take. 142 00:07:22,120 --> 00:07:26,120 Speaker 1: I mean, I think there's gonna be some major challenges, 143 00:07:26,520 --> 00:07:29,800 Speaker 1: and it starts with this is that, like we decided 144 00:07:29,920 --> 00:07:32,000 Speaker 1: a few weeks ago that we will not be returning 145 00:07:32,000 --> 00:07:35,160 Speaker 1: to our offices, and our corporate headquarters is in New 146 00:07:35,200 --> 00:07:37,560 Speaker 1: York City. Although we have fourteen offices around the world 147 00:07:38,080 --> 00:07:41,440 Speaker 1: and at about employees, only about fifty or in New York. 148 00:07:42,040 --> 00:07:44,360 Speaker 1: But we decided as a company not to go back 149 00:07:44,400 --> 00:07:48,440 Speaker 1: to offices and because they're not safe and and I 150 00:07:48,480 --> 00:07:50,920 Speaker 1: know I've talked to many other CEO who are friends 151 00:07:50,920 --> 00:07:54,280 Speaker 1: of mine in New York City and they're thinking, you know, 152 00:07:54,440 --> 00:07:57,320 Speaker 1: we can't force our employees back. Plus, we're doing very well. 153 00:07:57,360 --> 00:07:59,160 Speaker 1: You know, we had our best quarter in our history 154 00:07:59,600 --> 00:08:01,760 Speaker 1: this path quarters. So we're all doing very well. If 155 00:08:01,760 --> 00:08:04,440 Speaker 1: you're in tech and and you're part of the shift, 156 00:08:04,680 --> 00:08:06,920 Speaker 1: and that's happening in the world. So here's what I 157 00:08:06,960 --> 00:08:08,600 Speaker 1: think it's gonna have. People are gonna move out. I mean, 158 00:08:08,600 --> 00:08:10,960 Speaker 1: I'm seeing now some of our employees are like, look, 159 00:08:11,000 --> 00:08:12,760 Speaker 1: if if I'm not working in New York, I'm not 160 00:08:12,760 --> 00:08:15,200 Speaker 1: going to be in a small apartment. And I think, 161 00:08:15,440 --> 00:08:17,960 Speaker 1: you know, people are gonna start to leave. And I 162 00:08:18,000 --> 00:08:21,040 Speaker 1: don't think it's just tech. Um, it's gonna be other 163 00:08:21,120 --> 00:08:25,600 Speaker 1: industries because it's very expensive to work in New York. Um. 164 00:08:25,640 --> 00:08:28,520 Speaker 1: You know, it does have a great lifestyle if you 165 00:08:28,560 --> 00:08:31,480 Speaker 1: can actually engage with people, and so I think for 166 00:08:31,600 --> 00:08:35,400 Speaker 1: especially our younger employees, UM, I think they're gonna tend 167 00:08:35,440 --> 00:08:38,680 Speaker 1: to want to go someplace else. And so, um I 168 00:08:38,679 --> 00:08:41,040 Speaker 1: think this will have an impact, especially in the startup world, 169 00:08:41,080 --> 00:08:43,960 Speaker 1: because people may go other places to go start businesses 170 00:08:44,000 --> 00:08:46,440 Speaker 1: because New York, once again, it's not the the cheapest 171 00:08:46,480 --> 00:08:48,280 Speaker 1: place to to start a business. I started there. I 172 00:08:48,280 --> 00:08:50,560 Speaker 1: slept on a couch for two years. Now. That was 173 00:08:50,600 --> 00:08:53,079 Speaker 1: back twenty five years ago. It was cheap. It was 174 00:08:53,160 --> 00:08:55,760 Speaker 1: cheap to do that. Now it's not. You can't sleep 175 00:08:55,760 --> 00:08:57,640 Speaker 1: in a couch in New York City down Tribeca. That's 176 00:08:57,679 --> 00:08:59,560 Speaker 1: what I did, and I paid for bucks a month. 177 00:08:59,840 --> 00:09:01,439 Speaker 1: You're not going to do that anymore. So I think 178 00:09:01,440 --> 00:09:03,320 Speaker 1: it's a little hard to be a startup in New York. 179 00:09:03,559 --> 00:09:05,720 Speaker 1: So Rob, when you say we decided you're not going 180 00:09:05,760 --> 00:09:07,880 Speaker 1: to go back to your New York offices at all, 181 00:09:08,120 --> 00:09:11,839 Speaker 1: you're done all off no globally, not just New York, 182 00:09:11,880 --> 00:09:16,160 Speaker 1: but all offices now, we're done. Wow. So so is 183 00:09:16,160 --> 00:09:18,760 Speaker 1: it hybrid or is it everybody working at home? You're 184 00:09:18,760 --> 00:09:21,480 Speaker 1: just going to continue that or you'll get offices outside 185 00:09:21,520 --> 00:09:26,040 Speaker 1: major cities. We don't. We're gonna We're gonna push the 186 00:09:26,280 --> 00:09:28,520 Speaker 1: We spend ten to twelve million a year on rent, 187 00:09:29,040 --> 00:09:33,480 Speaker 1: and a landlords cannot cannot make the offices safe. I 188 00:09:33,480 --> 00:09:34,880 Speaker 1: mean I went back to New York and I looked 189 00:09:34,880 --> 00:09:37,120 Speaker 1: at our office. I mean, it's a joke to think 190 00:09:37,120 --> 00:09:39,120 Speaker 1: that four people can be in an elevator and they're 191 00:09:39,120 --> 00:09:41,080 Speaker 1: trying to space. It just doesn't make sense, and they're 192 00:09:41,080 --> 00:09:43,560 Speaker 1: not doing the work to make them safe. I'd rather 193 00:09:43,600 --> 00:09:46,360 Speaker 1: take that money, push it down to my employees and 194 00:09:46,360 --> 00:09:48,880 Speaker 1: say you figure out what to do. And what's happening 195 00:09:48,920 --> 00:09:51,040 Speaker 1: now is some of them want to get together for 196 00:09:51,080 --> 00:09:53,000 Speaker 1: a couple of months. Six of them will get together 197 00:09:53,040 --> 00:09:55,320 Speaker 1: and get some space, maybe a we work or something else, 198 00:09:55,360 --> 00:09:58,480 Speaker 1: but we will not be committing to fixed office space. 199 00:09:59,040 --> 00:10:02,559 Speaker 1: Things are working really well right now for us. And 200 00:10:03,160 --> 00:10:05,440 Speaker 1: you know, it's not about working from home or remote. 201 00:10:05,960 --> 00:10:10,240 Speaker 1: It's about giving people the flexibility to work the way 202 00:10:10,280 --> 00:10:12,560 Speaker 1: they think they can at the best they can be. 203 00:10:13,120 --> 00:10:15,040 Speaker 1: And even for me, like I don't miss the office 204 00:10:15,080 --> 00:10:17,760 Speaker 1: a percent. I miss seeing people, and I do visit 205 00:10:17,800 --> 00:10:20,240 Speaker 1: people and I'll take a nature walk with my some 206 00:10:20,320 --> 00:10:23,120 Speaker 1: of my my my reports and we'll we'll talk for 207 00:10:23,200 --> 00:10:25,960 Speaker 1: two hours. And we're changing the way we work, but 208 00:10:26,480 --> 00:10:29,320 Speaker 1: I don't see office as being the central location anymore, 209 00:10:29,360 --> 00:10:32,199 Speaker 1: at least not for us. Interesting, I do want to 210 00:10:32,240 --> 00:10:34,240 Speaker 1: ask you before we let you go about some of 211 00:10:34,240 --> 00:10:37,120 Speaker 1: you or some of your philanthropic work as well, and 212 00:10:37,559 --> 00:10:40,480 Speaker 1: especially something you've done also related to New York City 213 00:10:40,520 --> 00:10:44,160 Speaker 1: called feeding nyc UM, and it's all about sort of 214 00:10:44,160 --> 00:10:47,120 Speaker 1: feeding families who who otherwise not be able to fully 215 00:10:47,120 --> 00:10:50,760 Speaker 1: feed themselves, especially around Thanksgiving. We are at a moment, 216 00:10:50,800 --> 00:10:53,480 Speaker 1: a critical moment right now in New York City. In 217 00:10:53,520 --> 00:10:57,559 Speaker 1: many other places, we're talking about millions of people being evicted. 218 00:10:57,640 --> 00:11:01,360 Speaker 1: We're talking about unemployment rates we haven't seen since recessions 219 00:11:01,440 --> 00:11:06,360 Speaker 1: or even depressions. How should we be thinking as leaders 220 00:11:06,440 --> 00:11:13,040 Speaker 1: about how to bridge that gap philanthropically? This is you know, 221 00:11:13,160 --> 00:11:15,840 Speaker 1: this is gonna be a really I think, a focal 222 00:11:15,920 --> 00:11:19,720 Speaker 1: point for UM people like myself and my company and others. 223 00:11:20,320 --> 00:11:22,440 Speaker 1: There are a lot of people who are who are 224 00:11:22,520 --> 00:11:26,119 Speaker 1: hurting previous to COVID and now, like you said, they're unemployed. 225 00:11:26,920 --> 00:11:29,320 Speaker 1: We work with women in need mostly is a big 226 00:11:29,360 --> 00:11:33,400 Speaker 1: shelter system that helps women who are in battered relationships 227 00:11:33,440 --> 00:11:35,400 Speaker 1: and they leave with their families and they get back 228 00:11:35,440 --> 00:11:38,440 Speaker 1: on their feet. You know, there's just there's not enough 229 00:11:38,840 --> 00:11:42,400 Speaker 1: supply for the demand of people who are homeless, and 230 00:11:42,480 --> 00:11:46,840 Speaker 1: especially families and children, and we have to step up 231 00:11:46,880 --> 00:11:50,080 Speaker 1: now and help them. And there's more people who are 232 00:11:50,120 --> 00:11:52,760 Speaker 1: going to need to go into the shelter system. So 233 00:11:52,880 --> 00:11:56,000 Speaker 1: I started this foundation after nine eleven and I wanted 234 00:11:56,040 --> 00:11:58,760 Speaker 1: to give something back to the to the to New York. 235 00:11:59,200 --> 00:12:02,439 Speaker 1: We started, we've fed seventy families at that time. Last year, 236 00:12:02,600 --> 00:12:06,360 Speaker 1: we've we've fed next to close to over four thousand 237 00:12:06,440 --> 00:12:09,920 Speaker 1: families and then we've set about eighty thousand since nine eleven. 238 00:12:10,440 --> 00:12:13,280 Speaker 1: And all I can say is that you'd be surprised 239 00:12:13,440 --> 00:12:15,800 Speaker 1: people who live next door to you. It's very funny 240 00:12:15,840 --> 00:12:18,040 Speaker 1: that the shelters are all around New York City. They 241 00:12:18,080 --> 00:12:21,280 Speaker 1: maybe three blocks from you. In there they're suffering and 242 00:12:21,679 --> 00:12:24,360 Speaker 1: uh and we have to help them. So in my cause, 243 00:12:24,760 --> 00:12:27,599 Speaker 1: you go to feeding NYC dot org sign up. We 244 00:12:28,080 --> 00:12:29,880 Speaker 1: even though we got to think about how we're gonna 245 00:12:29,880 --> 00:12:32,200 Speaker 1: pack turkeys and deliver them, this year, we will do that. 246 00:12:32,240 --> 00:12:34,360 Speaker 1: We will feed him. We're going to target eight thousand 247 00:12:34,400 --> 00:12:38,000 Speaker 1: families this year, almost double what we did last year, 248 00:12:38,040 --> 00:12:40,280 Speaker 1: because we got to step up and help those meat 249 00:12:40,600 --> 00:12:42,760 Speaker 1: that was Rob Lacasio, he's the founder and CEO of 250 00:12:42,880 --> 00:12:46,480 Speaker 1: Live Person and Jason, as we all just heard, I mean, 251 00:12:46,559 --> 00:12:48,439 Speaker 1: he is a die hard New Yorker and the one 252 00:12:48,480 --> 00:12:50,240 Speaker 1: thing that really stayed with us, I mean a lot 253 00:12:50,280 --> 00:12:52,880 Speaker 1: of things because he really dug deep into the retail industry, 254 00:12:53,040 --> 00:12:56,000 Speaker 1: but that whole idea that his team at Live Person 255 00:12:56,120 --> 00:12:57,800 Speaker 1: they're not going to be heading back to their offices 256 00:12:57,800 --> 00:13:00,400 Speaker 1: in New York City at all. It's a game change, 257 00:13:00,480 --> 00:13:02,720 Speaker 1: and it really made me rethink about kind of what 258 00:13:02,760 --> 00:13:05,679 Speaker 1: the future looks like, especially for some of these big cities. Yeah, 259 00:13:05,679 --> 00:13:07,920 Speaker 1: because this is not a Johnny come Lately to New York, right. 260 00:13:08,200 --> 00:13:10,320 Speaker 1: This is a guy who has invested a lot of 261 00:13:10,360 --> 00:13:13,440 Speaker 1: his time and energy into building up the entrepreneurial scene. 262 00:13:14,080 --> 00:13:16,120 Speaker 1: He's been involved with a partnership for New York City, 263 00:13:16,240 --> 00:13:19,040 Speaker 1: so he's been a player. And so if he's thinking 264 00:13:19,200 --> 00:13:21,559 Speaker 1: these sorts of things, it does make you think that 265 00:13:21,880 --> 00:13:23,640 Speaker 1: the future is going to be pretty different when it 266 00:13:23,640 --> 00:13:25,920 Speaker 1: comes to New York. You've been listening to Bloomberg Business Week, 267 00:13:25,960 --> 00:13:28,559 Speaker 1: extra sure to tune into Bloomberg Business Week Radio Live 268 00:13:28,559 --> 00:13:30,720 Speaker 1: Monday through Friday at two pm Wall Street Time on 269 00:13:30,760 --> 00:13:33,800 Speaker 1: Bloomberg Radio I'm Carol Masser and I'm Jason Kelly. This 270 00:13:33,840 --> 00:13:34,439 Speaker 1: is Bloomberg