1 00:00:00,040 --> 00:00:04,240 Speaker 1: When is the last time you were forced to interact 2 00:00:04,680 --> 00:00:06,800 Speaker 1: with somebody in customer service? 3 00:00:09,400 --> 00:00:11,720 Speaker 2: Probably yesterday at the grocery store. 4 00:00:12,200 --> 00:00:14,360 Speaker 3: The oh okay, let me let me back that up 5 00:00:14,360 --> 00:00:14,880 Speaker 3: for a second. 6 00:00:14,920 --> 00:00:19,120 Speaker 1: So that was obviously an in person thing, right, Yes, 7 00:00:20,600 --> 00:00:22,840 Speaker 1: if is it? If you if you doing on the 8 00:00:22,960 --> 00:00:27,560 Speaker 1: phone or I guess even online, is it impossible now 9 00:00:27,960 --> 00:00:29,240 Speaker 1: to talk to a human being? 10 00:00:31,160 --> 00:00:32,839 Speaker 2: It feels that way. I feel like I have to 11 00:00:32,880 --> 00:00:35,200 Speaker 2: say representative of you know, fifty times. 12 00:00:35,360 --> 00:00:38,760 Speaker 4: It's getting in I think for some places, yes, it's 13 00:00:38,800 --> 00:00:41,080 Speaker 4: impossible to get a live person on the phone, right, 14 00:00:41,120 --> 00:00:43,200 Speaker 4: And that's when you just start going on like Reddit 15 00:00:43,240 --> 00:00:46,440 Speaker 4: threads and asking specifically for this company, how do I 16 00:00:46,440 --> 00:00:47,960 Speaker 4: get somebody real life? 17 00:00:47,960 --> 00:00:50,440 Speaker 1: But don't they don't in some cases don't they just 18 00:00:50,479 --> 00:00:54,240 Speaker 1: transfer you from from one AI agent to another. 19 00:00:55,160 --> 00:00:57,920 Speaker 4: They can, right, But because I've been I mean, that's 20 00:00:57,960 --> 00:01:00,560 Speaker 4: my this is this is not your real day every 21 00:01:00,640 --> 00:01:04,560 Speaker 4: day what I do, I've I've been able to a 22 00:01:04,560 --> 00:01:07,320 Speaker 4: lot of times. You do get bounced around, but man, 23 00:01:07,440 --> 00:01:09,640 Speaker 4: I got an exminity phone number. I get a real 24 00:01:09,680 --> 00:01:14,039 Speaker 4: person every time because I call them a lot. 25 00:01:15,400 --> 00:01:17,720 Speaker 1: But they they I was reading this thing, so Johns 26 00:01:17,720 --> 00:01:21,480 Speaker 1: Hopkins did this whole study that they that they released 27 00:01:21,480 --> 00:01:24,480 Speaker 1: the findings of yesterday and they said it's gotten to 28 00:01:24,560 --> 00:01:27,600 Speaker 1: a point like I don't remember the last time that 29 00:01:27,720 --> 00:01:30,360 Speaker 1: like I was forced to try to deal with And 30 00:01:30,440 --> 00:01:33,640 Speaker 1: I'm not talking about like online where well, I guess 31 00:01:33,640 --> 00:01:34,440 Speaker 1: that does count. 32 00:01:34,640 --> 00:01:37,720 Speaker 3: Like where you get like the little bot thing that pod. 33 00:01:37,600 --> 00:01:40,120 Speaker 4: Chat that's yeah, that thing that like a little chat 34 00:01:40,280 --> 00:01:41,680 Speaker 4: But I realized that's. 35 00:01:41,520 --> 00:01:44,720 Speaker 3: A robot, that's an AI agent, right, like I know. 36 00:01:44,760 --> 00:01:46,800 Speaker 5: That, well, whose photo is that? 37 00:01:46,760 --> 00:01:46,800 Speaker 1: That? 38 00:01:49,000 --> 00:01:49,400 Speaker 5: Damn it. 39 00:01:50,840 --> 00:01:53,560 Speaker 1: But if you if you say to that person with 40 00:01:53,640 --> 00:01:55,000 Speaker 1: that person, if you say that. 41 00:01:55,160 --> 00:01:58,360 Speaker 6: Bot, Sandra's not real. 42 00:02:00,480 --> 00:02:03,000 Speaker 3: I'm the problem. I'm the problem. 43 00:02:03,360 --> 00:02:06,280 Speaker 1: But if you say, if you say to that agent, right, 44 00:02:06,320 --> 00:02:07,360 Speaker 1: what do I call them? 45 00:02:07,360 --> 00:02:08,040 Speaker 3: What do I call them? 46 00:02:08,120 --> 00:02:08,519 Speaker 5: Chat pot? 47 00:02:08,680 --> 00:02:14,000 Speaker 3: Okay? If I say to that chatbot, hey, is that 48 00:02:14,120 --> 00:02:15,560 Speaker 3: all taps? Hey? 49 00:02:15,680 --> 00:02:17,040 Speaker 5: Are you yelling at the chat bot? 50 00:02:17,120 --> 00:02:17,200 Speaker 1: No? 51 00:02:17,400 --> 00:02:19,679 Speaker 3: Because I know it's not a person. I know it's 52 00:02:19,760 --> 00:02:20,560 Speaker 3: just a chatbot. 53 00:02:20,600 --> 00:02:23,200 Speaker 1: But if I say, hey, listen, I need to I 54 00:02:23,240 --> 00:02:27,840 Speaker 1: need to speak to a human, do they just go, oh, 55 00:02:27,919 --> 00:02:30,440 Speaker 1: hold on, let me tap in Jim or that. 56 00:02:31,320 --> 00:02:34,760 Speaker 4: It's almost like they regenerate the different questions to try 57 00:02:34,760 --> 00:02:36,280 Speaker 4: to get you in a different direction. 58 00:02:36,520 --> 00:02:38,560 Speaker 3: Right, but I don't. I don't want to talk to you. 59 00:02:38,639 --> 00:02:40,000 Speaker 3: I want to talk to a human being. 60 00:02:40,080 --> 00:02:41,880 Speaker 4: Right, That's why you gotta like scroll down to the 61 00:02:41,880 --> 00:02:44,119 Speaker 4: bottom of their website and see if you can find 62 00:02:44,160 --> 00:02:45,639 Speaker 4: any numbers or go online. 63 00:02:45,720 --> 00:02:48,360 Speaker 1: Right, But even if you find another number, you're gonna 64 00:02:48,400 --> 00:02:49,200 Speaker 1: end up talking to a. 65 00:02:49,240 --> 00:02:52,799 Speaker 6: Chatbot in some cases. Yeah, yeah, gotta be careful. 66 00:02:52,840 --> 00:02:55,080 Speaker 5: As we've seen before when you go online, some of 67 00:02:55,120 --> 00:02:59,600 Speaker 5: the customer service numbers have been hijacked, and scammers on 68 00:02:59,680 --> 00:03:03,359 Speaker 5: Google results are just waiting for you to call them, 69 00:03:03,480 --> 00:03:04,160 Speaker 5: thinking you're. 70 00:03:04,080 --> 00:03:07,720 Speaker 3: Wait, even if I called like eight eight eight. 71 00:03:09,000 --> 00:03:12,120 Speaker 1: Help me dodge or whatever it is, that's already been 72 00:03:12,800 --> 00:03:14,560 Speaker 1: that's already been taken over by somebody. 73 00:03:14,680 --> 00:03:18,160 Speaker 5: You don't want to use a search engine to find 74 00:03:18,600 --> 00:03:22,000 Speaker 5: the customer service number, Like I said, make sure it's 75 00:03:22,160 --> 00:03:24,800 Speaker 5: on the company's website. 76 00:03:24,240 --> 00:03:26,320 Speaker 3: Because if not, then I get an AI person. 77 00:03:26,520 --> 00:03:28,760 Speaker 5: No, no, no, you're getting somebody who's going to just 78 00:03:28,840 --> 00:03:31,120 Speaker 5: ask for your vable. 79 00:03:31,200 --> 00:03:33,119 Speaker 6: First of all, I'm going to need your social credit. 80 00:03:33,600 --> 00:03:36,400 Speaker 1: Oh, I see, well, so I can get a real 81 00:03:36,440 --> 00:03:39,200 Speaker 1: person there. But where I where I want it, I. 82 00:03:39,160 --> 00:03:40,320 Speaker 3: Can't get a real person. 83 00:03:40,400 --> 00:03:43,000 Speaker 5: But you're not ever within that box. You're not getting 84 00:03:43,000 --> 00:03:46,080 Speaker 5: a real person. No, even if you ask for one, 85 00:03:46,600 --> 00:03:49,280 Speaker 5: who then moves the robot out of the seat. 86 00:03:50,800 --> 00:03:53,400 Speaker 3: No, do they forward you to a real person. 87 00:03:53,440 --> 00:03:56,000 Speaker 5: They might send you a phone number, but that phone 88 00:03:56,080 --> 00:03:58,080 Speaker 5: number is going to be a crapshoot. 89 00:03:58,440 --> 00:04:01,080 Speaker 1: So then when that when that answer, even though I 90 00:04:01,120 --> 00:04:04,000 Speaker 1: think I'm talking to a human, I'm talking to a chatbot. 91 00:04:04,320 --> 00:04:08,200 Speaker 1: So nobody has customer service anymore. But you really have 92 00:04:08,240 --> 00:04:11,200 Speaker 1: to get way up the line to get to somebody 93 00:04:11,240 --> 00:04:12,280 Speaker 1: in customer service. 94 00:04:12,760 --> 00:04:13,440 Speaker 3: I don't like it. 95 00:04:14,800 --> 00:04:17,440 Speaker 1: Well, who does the Well I can tell you based 96 00:04:17,680 --> 00:04:21,240 Speaker 1: talking we talking reading Johns Hopkins stuff. They want they 97 00:04:21,279 --> 00:04:23,760 Speaker 1: want there to be a law put in place, a 98 00:04:23,880 --> 00:04:27,720 Speaker 1: law people people, not John Hollis the like they did 99 00:04:27,760 --> 00:04:30,360 Speaker 1: this whole study and people are like, I want a 100 00:04:30,440 --> 00:04:32,680 Speaker 1: law in place that says number one, they have to 101 00:04:32,720 --> 00:04:35,960 Speaker 1: identify themselves as a chatbot, which is fine, even though 102 00:04:36,000 --> 00:04:40,880 Speaker 1: they try to make them sound all like ohne exactly, yeah, No, 103 00:04:40,920 --> 00:04:43,720 Speaker 1: it's very freaking, it's very freaky. So they want them 104 00:04:43,760 --> 00:04:46,359 Speaker 1: to identify themselves because they don't. And it was like 105 00:04:46,440 --> 00:04:48,840 Speaker 1: seventy five percent of people. And then it's like if 106 00:04:48,880 --> 00:04:51,599 Speaker 1: you if you ask for a human, you should go 107 00:04:51,760 --> 00:04:55,320 Speaker 1: right to a human. But they don't. But places don't. 108 00:04:55,080 --> 00:04:58,080 Speaker 4: Do that, No, because everybody wants to talk to a human. 109 00:05:00,640 --> 00:05:03,200 Speaker 4: There's there's a level of comfort there. Unless it's something 110 00:05:03,240 --> 00:05:05,960 Speaker 4: that's that's easily rectifiable. 111 00:05:07,160 --> 00:05:09,599 Speaker 3: They say they want to interact. Well, here you go, Holly, 112 00:05:09,839 --> 00:05:11,039 Speaker 3: was that your name? Yeah? 113 00:05:11,120 --> 00:05:14,560 Speaker 1: They said people want people want to talk to a 114 00:05:14,640 --> 00:05:20,000 Speaker 1: real person in medicine, in court, in schools, and in 115 00:05:20,120 --> 00:05:21,200 Speaker 1: benefit offices. 116 00:05:21,680 --> 00:05:22,919 Speaker 3: Is that like work benefits? 117 00:05:24,160 --> 00:05:26,120 Speaker 5: I don't medicare. 118 00:05:26,440 --> 00:05:28,640 Speaker 3: Oh yeah, okay, that makes sense. That makes sense. 119 00:05:28,760 --> 00:05:32,200 Speaker 1: Yeah, because some robot doesn't know what my pension looks like. 120 00:05:33,560 --> 00:05:36,200 Speaker 3: No, yeah, so why do I have to talk to them? 121 00:05:36,360 --> 00:05:41,000 Speaker 5: All those areas makes sense, but it makes sense in anything. Well, 122 00:05:42,920 --> 00:05:45,359 Speaker 5: remember I got fooled by my I guess this is 123 00:05:45,440 --> 00:05:49,680 Speaker 5: medicine technically, but I got fooled by my dermatologist's office. 124 00:05:49,839 --> 00:05:50,560 Speaker 3: Oh that's right. 125 00:05:50,600 --> 00:05:53,080 Speaker 5: And I had no idea until when I had to 126 00:05:54,640 --> 00:05:59,240 Speaker 5: call back or make another appointment. They questioned the pronunciation 127 00:05:59,400 --> 00:06:02,080 Speaker 5: of the last in the exact spot again, and I 128 00:06:02,240 --> 00:06:04,719 Speaker 5: was like, what the hell, that's weird. Yeah, I just 129 00:06:04,800 --> 00:06:07,719 Speaker 5: told this guy, Oh my god, it's not a guy. 130 00:06:09,520 --> 00:06:11,360 Speaker 3: It's a robot. It's a chat bot. 131 00:06:11,640 --> 00:06:14,480 Speaker 5: A couple of years ago, a lot more widespread now right. 132 00:06:14,720 --> 00:06:15,640 Speaker 3: Oh, it's everywhere. 133 00:06:15,839 --> 00:06:22,360 Speaker 5: It's everywhere from Kevin. My wife works from home for Nordstrom. 134 00:06:21,920 --> 00:06:24,960 Speaker 1: Which, oh Bennett Zeer Benet Zeer used to always say, 135 00:06:24,960 --> 00:06:27,920 Speaker 1: we need to be like Nordstrom. Customer service is what 136 00:06:28,000 --> 00:06:31,159 Speaker 1: Nordstrom is known for. That in their cafes and e bars. 137 00:06:31,400 --> 00:06:35,240 Speaker 5: She answers, phone calls, chats and emails from customers all day. 138 00:06:35,480 --> 00:06:36,839 Speaker 5: They still have real people. 139 00:06:36,960 --> 00:06:38,680 Speaker 3: See that's great, that's great. 140 00:06:38,920 --> 00:06:42,440 Speaker 5: Can they ever switch? Yes, they've established themselves as that 141 00:06:42,640 --> 00:06:46,080 Speaker 5: like pinnacle of like you said, customer service. 142 00:06:45,880 --> 00:06:50,080 Speaker 3: Yes they can and they probably will. Watch. Hi, this 143 00:06:50,240 --> 00:06:52,800 Speaker 3: is Elliott with Nordstrom. How can I help you? 144 00:06:54,240 --> 00:06:58,160 Speaker 1: The CVS pisses me off, But CVS, you at least 145 00:06:58,160 --> 00:06:59,360 Speaker 1: know you're talking to a robot. 146 00:06:59,480 --> 00:07:01,120 Speaker 3: CBS they sound like robot. 147 00:07:01,240 --> 00:07:03,640 Speaker 6: CVS is next to impossible to get a real person. 148 00:07:03,760 --> 00:07:06,080 Speaker 1: You can't get a real person at CVS. You can't 149 00:07:06,080 --> 00:07:06,760 Speaker 1: get a real person. 150 00:07:06,800 --> 00:07:10,600 Speaker 4: I mean sometimes you're able to. You can leave a 151 00:07:10,640 --> 00:07:12,560 Speaker 4: message for the pharmacy and they'll call you back. 152 00:07:12,600 --> 00:07:13,040 Speaker 6: Sometimes. 153 00:07:13,120 --> 00:07:15,360 Speaker 1: Never done that, Never done that, But yeah I could 154 00:07:15,360 --> 00:07:18,040 Speaker 1: be Hi, thank you for calling Nordstrom. 155 00:07:18,280 --> 00:07:20,640 Speaker 3: How can I help you please, customer, and. 156 00:07:20,600 --> 00:07:22,560 Speaker 1: They would go, yeah, I got a shirt that I 157 00:07:22,640 --> 00:07:25,640 Speaker 1: needed to return and in what department did you get that? 158 00:07:27,360 --> 00:07:29,920 Speaker 3: Oh? Yeah, of course they can. 159 00:07:30,200 --> 00:07:31,360 Speaker 6: That sounds great and. 160 00:07:31,400 --> 00:07:35,960 Speaker 1: They probably I hope they don't because Nordstrom is known 161 00:07:36,400 --> 00:07:39,800 Speaker 1: as the as the as the tip of the pyramid 162 00:07:40,160 --> 00:07:41,360 Speaker 1: for customer service. 163 00:07:41,800 --> 00:07:45,240 Speaker 5: I didn't even know they had this as a service. 164 00:07:46,640 --> 00:07:50,120 Speaker 5: I guess it's customer service. But in addition to making returns, 165 00:07:50,440 --> 00:07:55,160 Speaker 5: rice adjustments, canceling orders help with the Nordy Club, they 166 00:07:55,240 --> 00:08:00,520 Speaker 5: also have beauty care lines. Hi, those real people the wait, 167 00:08:00,560 --> 00:08:03,280 Speaker 5: what is that now? It's not twenty four hours? Everything 168 00:08:03,280 --> 00:08:05,600 Speaker 5: else is twenty for seven for them. Beauty Care is 169 00:08:05,800 --> 00:08:10,680 Speaker 5: ten thirty eight thirty pm Eastern Monday through Friday. Our 170 00:08:10,720 --> 00:08:13,960 Speaker 5: team gives you expert advice across all our beauty brands. 171 00:08:14,720 --> 00:08:17,440 Speaker 3: That's not a real person. That's not a real person. 172 00:08:17,480 --> 00:08:18,040 Speaker 5: I don't know. 173 00:08:18,240 --> 00:08:19,680 Speaker 1: Or is that like if you come out of the 174 00:08:19,720 --> 00:08:22,440 Speaker 1: netty what is that cosmetology school? 175 00:08:22,920 --> 00:08:25,880 Speaker 3: You go, Yeah, do you go work for Nordstrom? 176 00:08:27,200 --> 00:08:30,000 Speaker 5: I wouldn't think so. I didn't even know anyone had 177 00:08:30,040 --> 00:08:30,800 Speaker 5: something like this. 178 00:08:31,000 --> 00:08:33,480 Speaker 1: Oh you should try a deeper foundation. Like what am 179 00:08:33,480 --> 00:08:35,000 Speaker 1: I going to say? To them, I don't know anything 180 00:08:35,000 --> 00:08:35,840 Speaker 1: about beauty care. 181 00:08:36,040 --> 00:08:38,000 Speaker 5: You wouldn't be on the other end of the line. Yeah, 182 00:08:38,760 --> 00:08:39,760 Speaker 5: do you imagine? 183 00:08:40,000 --> 00:08:46,080 Speaker 1: Oh god, hey, splash a little water on it there, bossy. 184 00:08:45,640 --> 00:08:48,520 Speaker 6: I haven't washed my face in three weeks now, I 185 00:08:48,559 --> 00:08:49,200 Speaker 6: will tell you this. 186 00:08:49,320 --> 00:08:51,800 Speaker 5: On the top of their website, here there is a 187 00:08:51,920 --> 00:08:55,480 Speaker 5: beta option that you can click on, and it's shop 188 00:08:55,600 --> 00:08:56,200 Speaker 5: with AI. 189 00:08:57,880 --> 00:08:59,760 Speaker 3: Okay, okay, But by the way. 190 00:09:00,040 --> 00:09:03,760 Speaker 5: Little chatbot window pops up here, Hi, I can help 191 00:09:03,760 --> 00:09:06,320 Speaker 5: you find product, shop for gifts, or discover new styles. 192 00:09:06,320 --> 00:09:07,480 Speaker 5: What are you looking for today? 193 00:09:07,840 --> 00:09:11,120 Speaker 1: That I don't mind because you opted into that. It 194 00:09:11,200 --> 00:09:14,200 Speaker 1: didn't just pop up. And now you either if to 195 00:09:14,360 --> 00:09:18,360 Speaker 1: a minimize it or if it says do you need help, 196 00:09:18,760 --> 00:09:21,000 Speaker 1: and then you say yes that you don't know that 197 00:09:21,040 --> 00:09:24,520 Speaker 1: it's a human they're making you know immediately if you 198 00:09:24,600 --> 00:09:25,760 Speaker 1: click on that it's AI. 199 00:09:25,880 --> 00:09:26,880 Speaker 3: What are they typing you? 200 00:09:27,000 --> 00:09:29,319 Speaker 5: Well, I said I need help with a vacation outfit. 201 00:09:29,520 --> 00:09:32,600 Speaker 3: The oh they're giving you dresses? 202 00:09:32,800 --> 00:09:37,920 Speaker 5: Yes, they know you the heck those are all really nice, 203 00:09:38,080 --> 00:09:39,640 Speaker 5: but I don't want that. 204 00:09:39,760 --> 00:09:42,600 Speaker 1: By the way, you know who you know where else? 205 00:09:42,960 --> 00:09:47,520 Speaker 1: Chatbots are going crazy right now. Collection agencies like collection 206 00:09:47,600 --> 00:09:52,079 Speaker 1: agency call centers. Oh, everything, everything's a chatbot? 207 00:09:52,640 --> 00:09:53,760 Speaker 3: Everything is what was. 208 00:09:53,760 --> 00:09:56,000 Speaker 5: That to protect mental health? 209 00:09:56,240 --> 00:09:57,200 Speaker 3: The no? 210 00:09:57,600 --> 00:09:59,920 Speaker 1: You know what it does? It just eliminates job. Listen, 211 00:10:00,920 --> 00:10:03,160 Speaker 1: I've never worked in a call center. We've talked to 212 00:10:03,200 --> 00:10:05,480 Speaker 1: plenty of people who do. Some like it, some hate it, 213 00:10:05,960 --> 00:10:08,200 Speaker 1: some some it's just it's a duck and it rolls 214 00:10:08,240 --> 00:10:10,000 Speaker 1: off your back, and you know people are gonna yell 215 00:10:10,040 --> 00:10:12,320 Speaker 1: at you and scream at you. You're gonna threaten to 216 00:10:12,320 --> 00:10:14,680 Speaker 1: put leans on their house. Like you could get into 217 00:10:14,720 --> 00:10:17,800 Speaker 1: a good back and forth with somebody at a call center. 218 00:10:19,280 --> 00:10:20,640 Speaker 5: No not, you said, collection? 219 00:10:20,720 --> 00:10:24,839 Speaker 4: Oh collection, yea, even so I haven't paid my bill 220 00:10:24,880 --> 00:10:26,480 Speaker 4: and a bot is calling. 221 00:10:26,160 --> 00:10:27,480 Speaker 6: Me, yeah, track me down? 222 00:10:27,640 --> 00:10:30,520 Speaker 5: Yes, oh yes, But you could see where we could 223 00:10:30,520 --> 00:10:34,760 Speaker 5: aloys argue that's better for the humans that were in 224 00:10:34,800 --> 00:10:37,400 Speaker 5: those roles. Hopefully we've moved them to another role. But 225 00:10:37,440 --> 00:10:41,400 Speaker 5: that's a rough day of doing that for ten twelve hours. 226 00:10:41,440 --> 00:10:43,040 Speaker 3: Yeah, but there are people who thrive in. 227 00:10:43,080 --> 00:10:47,000 Speaker 5: That, oh, who really don't let it bother them. 228 00:10:47,440 --> 00:10:48,320 Speaker 3: Yeah. 229 00:10:48,480 --> 00:10:50,640 Speaker 1: I could sit there all day and get yelled at 230 00:10:50,720 --> 00:10:51,400 Speaker 1: and screamed at. 231 00:10:51,800 --> 00:10:54,240 Speaker 3: I'd just be like, now, would I have an idea? 232 00:10:54,280 --> 00:10:57,160 Speaker 3: Why don't you eat me? Yeah? I don't care. You 233 00:10:57,200 --> 00:10:57,520 Speaker 3: know what. 234 00:10:57,679 --> 00:10:59,880 Speaker 4: By the way, one says, this call is going to 235 00:10:59,920 --> 00:11:01,559 Speaker 4: be recorded for training purposes. 236 00:11:01,640 --> 00:11:02,000 Speaker 3: Recorded. 237 00:11:02,200 --> 00:11:03,679 Speaker 5: Yeah, you know what, don't do this. 238 00:11:03,880 --> 00:11:05,200 Speaker 3: I'm listen. Listen, ma'am. 239 00:11:05,280 --> 00:11:07,120 Speaker 1: I don't know why you're yelling. I'm not the one 240 00:11:07,120 --> 00:11:08,640 Speaker 1: who's delinquent in my payments. 241 00:11:10,400 --> 00:11:12,480 Speaker 6: Why don't you brooke ass get a job? 242 00:11:12,960 --> 00:11:13,280 Speaker 3: Okay? 243 00:11:13,360 --> 00:11:16,160 Speaker 1: I actually I have a job right now, and I'm 244 00:11:16,240 --> 00:11:18,800 Speaker 1: using that job to pay my pay off my debts. 245 00:11:19,080 --> 00:11:21,800 Speaker 1: You are not so either. A Let's get you on 246 00:11:21,840 --> 00:11:26,000 Speaker 1: a payment plan. Let's let's get you some help. Maybe 247 00:11:26,000 --> 00:11:27,920 Speaker 1: you should invest in getting yourself some help, so you 248 00:11:27,960 --> 00:11:28,920 Speaker 1: just don't yell at people. 249 00:11:29,160 --> 00:11:32,640 Speaker 3: I would flourish in that job, but they're taking away 250 00:11:32,800 --> 00:11:35,480 Speaker 3: all the now. What are you typing over there, Tyler? 251 00:11:35,640 --> 00:11:36,760 Speaker 6: Is he still looking for outfits? 252 00:11:37,559 --> 00:11:38,120 Speaker 3: Did you say? 253 00:11:38,200 --> 00:11:38,760 Speaker 5: Excuse me? 254 00:11:38,920 --> 00:11:39,520 Speaker 3: I'm a man. 255 00:11:39,840 --> 00:11:44,640 Speaker 5: Well, I watched something yesterday and so I asked Nordstrom's AI, 256 00:11:45,240 --> 00:11:48,160 Speaker 5: how do I dress like Sting? At the nineteen eighty 257 00:11:48,200 --> 00:11:53,640 Speaker 5: five light if Aid Concert and He and they write 258 00:11:53,800 --> 00:11:59,280 Speaker 5: it was the epitome of nineteen eighty summer elegance. He 259 00:11:59,320 --> 00:12:02,440 Speaker 5: performed in a Chris monochromatic all white ensemble that stood 260 00:12:02,440 --> 00:12:05,480 Speaker 5: out beautifully under the stadium lights. Oh wow, But he 261 00:12:05,600 --> 00:12:08,880 Speaker 5: had a massive shirt on. Stuff was out like David. 262 00:12:09,360 --> 00:12:11,640 Speaker 5: Stuff was big. Yeah, it wasn't supposed to be like 263 00:12:11,960 --> 00:12:12,640 Speaker 5: a character. 264 00:12:12,840 --> 00:12:13,959 Speaker 6: Yeah, it was just long. 265 00:12:14,160 --> 00:12:15,120 Speaker 3: It was a long shirt. 266 00:12:15,280 --> 00:12:16,600 Speaker 5: That's like like a kaftan. 267 00:12:17,000 --> 00:12:20,400 Speaker 3: No me, may I can chat Pod Elliott help you. 268 00:12:20,840 --> 00:12:24,600 Speaker 1: That's when Abercrombie and Fitch had their the big shirt. 269 00:12:25,400 --> 00:12:27,040 Speaker 1: And it wasn't because you were big and fat. It 270 00:12:27,080 --> 00:12:30,240 Speaker 1: wasn't a big and tall. No, it was the big shirt, 271 00:12:30,559 --> 00:12:31,400 Speaker 1: the big shirt. 272 00:12:31,840 --> 00:12:34,120 Speaker 5: You were shopping at Abercombe in the eighties. 273 00:12:34,520 --> 00:12:35,679 Speaker 6: I didn't think they were around then. 274 00:12:36,440 --> 00:12:39,120 Speaker 3: Abercrombie. Yeah, Abercromby has been around since like nineteen forty. 275 00:12:39,200 --> 00:12:41,920 Speaker 5: It's been around even before that. But it wasn't that 276 00:12:42,040 --> 00:12:44,240 Speaker 5: wasn't like a go to for you, was it then? No? 277 00:12:44,360 --> 00:12:46,400 Speaker 5: I like we were in the nineties A and f guy. 278 00:12:46,520 --> 00:12:47,160 Speaker 3: Yeah I was. 279 00:12:47,240 --> 00:12:49,720 Speaker 1: But I know that they still had those shirts. Yeah, 280 00:12:49,840 --> 00:12:51,960 Speaker 1: there's there's richardson. 281 00:12:51,800 --> 00:12:54,800 Speaker 5: On stage with Gordon on stage with dire shirts the 282 00:12:55,520 --> 00:12:56,280 Speaker 5: yeah exactly. 283 00:12:56,640 --> 00:12:57,960 Speaker 3: God, look how young he looks. 284 00:12:58,360 --> 00:12:59,520 Speaker 5: It is ninety eighty five. 285 00:13:02,320 --> 00:13:04,760 Speaker 3: Him and Sting. Sting doesn't even look like Sting. 286 00:13:05,000 --> 00:13:09,640 Speaker 5: Oh and I have to carry eyeglasses in my shirt pocket. 287 00:13:09,800 --> 00:13:12,719 Speaker 3: Oh but with one stem. Yes, yes, there you go. 288 00:13:12,760 --> 00:13:13,880 Speaker 3: Tell that to Nordstrom. 289 00:13:13,920 --> 00:13:18,320 Speaker 5: That completes the look. Look how big when they show 290 00:13:18,440 --> 00:13:21,520 Speaker 5: Look at that shirt? That shirt, but I thought that 291 00:13:21,559 --> 00:13:26,560 Speaker 5: would look good all summer. He looks so comfortable. 292 00:13:28,120 --> 00:13:29,520 Speaker 3: Yeah, because he's a billionaire. 293 00:13:29,640 --> 00:13:31,560 Speaker 6: Netflix bandana looks tight. 294 00:13:36,080 --> 00:13:38,160 Speaker 3: Where am I going? Line three? 295 00:13:38,360 --> 00:13:39,640 Speaker 6: Why were you watching that? 296 00:13:40,000 --> 00:13:44,240 Speaker 5: Because we played Beverly Hillbillies. Okay, so I wanted to 297 00:13:44,320 --> 00:13:47,480 Speaker 5: watch Sting's performance with dire Strait set live A. 298 00:13:47,679 --> 00:13:52,719 Speaker 3: Thank you Hi Ellie in the morning. Yeah, Hi, who's this? 299 00:13:54,280 --> 00:13:55,320 Speaker 2: Hey? This is Emily. 300 00:13:55,720 --> 00:13:57,320 Speaker 3: Yes, Emily, What can I do for you? 301 00:13:58,880 --> 00:14:01,760 Speaker 2: I just want to call in. I work in customer 302 00:14:01,800 --> 00:14:06,160 Speaker 2: service in the automotive industry, actually, and so we I 303 00:14:06,640 --> 00:14:10,480 Speaker 2: schedule service appointments. You know, nothing crazy. We have a 304 00:14:10,720 --> 00:14:14,080 Speaker 2: chatbot on our website. Her name is Jennifer, and she 305 00:14:14,240 --> 00:14:17,800 Speaker 2: insists that she's a real person when people call her 306 00:14:17,800 --> 00:14:18,600 Speaker 2: out on being a bot. 307 00:14:18,800 --> 00:14:21,200 Speaker 3: See, I don't like that. I don't like that line 308 00:14:21,400 --> 00:14:23,000 Speaker 3: No exactly that, you know why. 309 00:14:23,040 --> 00:14:26,520 Speaker 1: I don't for that reason, Like at least Nordstrom, if 310 00:14:26,520 --> 00:14:29,440 Speaker 1: you clean on that, they're telling you you're entering into 311 00:14:29,640 --> 00:14:30,400 Speaker 1: chatbot land. 312 00:14:30,480 --> 00:14:32,800 Speaker 4: Yeah. It line just makes me real skeptical about the 313 00:14:32,840 --> 00:14:34,080 Speaker 4: whole process. 314 00:14:34,400 --> 00:14:38,760 Speaker 3: The Yeah, they're just just yet it's ignore the question. 315 00:14:40,600 --> 00:14:43,320 Speaker 2: Yeah, it's very interesting, but we can also just jump 316 00:14:43,320 --> 00:14:45,720 Speaker 2: in and take it over from the bo at any moment. 317 00:14:45,760 --> 00:14:50,440 Speaker 1: And why don't you just do that from the start? 318 00:14:50,440 --> 00:14:50,960 Speaker 3: Be to me. 319 00:14:51,240 --> 00:14:53,720 Speaker 2: But also it's hard to catch all of those all 320 00:14:53,760 --> 00:14:55,960 Speaker 2: the time, with incoming calls and everything else we do. 321 00:14:56,200 --> 00:14:59,320 Speaker 6: But hire somebody else, Yeah, Emily's work. 322 00:14:59,360 --> 00:15:03,240 Speaker 1: And no, I know, listen, I have an idea. Don't 323 00:15:03,240 --> 00:15:05,440 Speaker 1: fire everybody, and then you won't have that problem. 324 00:15:05,560 --> 00:15:07,360 Speaker 6: Yeah, but Jennifer, the body is cheaper. 325 00:15:07,520 --> 00:15:08,520 Speaker 5: Just take Yeah. 326 00:15:08,560 --> 00:15:11,040 Speaker 4: No, I don't have to pay for I don't have 327 00:15:11,040 --> 00:15:12,800 Speaker 4: to pay for health insurance for Jennifer. 328 00:15:12,920 --> 00:15:14,920 Speaker 3: No, I know, I know, but I just I don't 329 00:15:15,000 --> 00:15:15,640 Speaker 3: like everybody. 330 00:15:15,800 --> 00:15:17,920 Speaker 1: You know, I'm always very I like when people work 331 00:15:18,120 --> 00:15:20,520 Speaker 1: like I do, because when people don't work, then I 332 00:15:20,600 --> 00:15:22,800 Speaker 1: have to get all my chat bots and collections to 333 00:15:22,840 --> 00:15:25,640 Speaker 1: go after them because they're not paying for their cars that. 334 00:15:25,560 --> 00:15:26,680 Speaker 3: Need service, ma'am. 335 00:15:27,000 --> 00:15:29,680 Speaker 1: The but I don't like that your chat bot is 336 00:15:29,800 --> 00:15:32,160 Speaker 1: lying to people in insisting that they're human. 337 00:15:33,760 --> 00:15:36,200 Speaker 2: I don't like it either. The first time I thought 338 00:15:36,200 --> 00:15:38,720 Speaker 2: because I applied to work as a company. I look 339 00:15:38,760 --> 00:15:41,200 Speaker 2: at their website. Okay, what's this all about? And I 340 00:15:41,200 --> 00:15:43,120 Speaker 2: see this little Jennifer Honey, how can I help you? 341 00:15:43,160 --> 00:15:46,720 Speaker 2: And I they have the all about us and here's 342 00:15:46,760 --> 00:15:48,720 Speaker 2: our employees. So I was like, does she work here? 343 00:15:48,840 --> 00:15:50,320 Speaker 2: And I looked through it. I didn't see her anywhere. 344 00:15:50,360 --> 00:15:55,080 Speaker 2: I was like, huh, that's weird, but okay, sure, and 345 00:15:55,560 --> 00:15:57,080 Speaker 2: kind of moved on with my life. And that's just 346 00:15:57,160 --> 00:15:59,720 Speaker 2: kind of how things are. That's just seems to be 347 00:16:00,160 --> 00:16:02,920 Speaker 2: neerk for at least this industry, right. 348 00:16:02,880 --> 00:16:04,600 Speaker 5: But yeah, I don't like that. 349 00:16:04,720 --> 00:16:07,800 Speaker 3: I appreciate it. Thank you, ma'am. Thank you. You do 350 00:16:07,880 --> 00:16:09,360 Speaker 3: the same. Yes, time wasn't me. 351 00:16:09,520 --> 00:16:12,120 Speaker 5: As someone who spent a decade in customer service at 352 00:16:12,120 --> 00:16:15,360 Speaker 5: call centers, these bots actually answer and resolve ninety nine 353 00:16:15,440 --> 00:16:20,320 Speaker 5: percent of calls. Agents are being required to use more 354 00:16:20,400 --> 00:16:24,239 Speaker 5: standard canned responses to sound more bot. 355 00:16:24,200 --> 00:16:26,680 Speaker 3: Like please pay off your debt. 356 00:16:28,040 --> 00:16:30,560 Speaker 5: So if you do get escalated, right for something that's 357 00:16:30,560 --> 00:16:36,400 Speaker 5: more complex or demanded, uh, the person is still trying 358 00:16:36,440 --> 00:16:37,760 Speaker 5: to blur those lines. 359 00:16:38,080 --> 00:16:40,680 Speaker 3: Oh, so they sound like the robot, so. 360 00:16:40,520 --> 00:16:43,800 Speaker 5: That maybe when you call back again, you're just not 361 00:16:43,960 --> 00:16:46,600 Speaker 5: as certain because I mean we know it's getting better. 362 00:16:46,680 --> 00:16:48,840 Speaker 5: The technology is better than it used to be. 363 00:16:48,960 --> 00:16:51,600 Speaker 1: Oh sure, Oh yeah, no very much so, so so 364 00:16:52,160 --> 00:16:53,000 Speaker 1: are we good with that? 365 00:16:53,160 --> 00:16:56,440 Speaker 3: Then as a gray area, if they're solving ninety. 366 00:16:56,200 --> 00:16:58,680 Speaker 5: Nine percent of the problems, I think the point of 367 00:16:58,720 --> 00:17:01,760 Speaker 5: the message on x is is it's actually working. 368 00:17:03,440 --> 00:17:05,960 Speaker 3: But if you want someone, give me someone. 369 00:17:06,880 --> 00:17:07,640 Speaker 5: I think that's fair. 370 00:17:07,760 --> 00:17:10,560 Speaker 1: Yeah, like that if the chat bot can help me, 371 00:17:11,600 --> 00:17:12,640 Speaker 1: no problem, Yeah. 372 00:17:12,560 --> 00:17:16,040 Speaker 4: No problem, Like like she said, like setting appointments, right, 373 00:17:16,160 --> 00:17:18,040 Speaker 4: that's you don't need to talk to somebody to do that, 374 00:17:18,600 --> 00:17:19,760 Speaker 4: you do I like talking. 375 00:17:19,560 --> 00:17:20,840 Speaker 3: To somebody to set an appointment. 376 00:17:20,960 --> 00:17:23,960 Speaker 1: No, because I like to know, like like, hey, listen, 377 00:17:23,960 --> 00:17:25,000 Speaker 1: can you do a little later? 378 00:17:25,400 --> 00:17:26,879 Speaker 3: Like I like that back and forth? 379 00:17:27,160 --> 00:17:30,320 Speaker 1: I cannot like no, like can you move someone else around? 380 00:17:30,760 --> 00:17:33,679 Speaker 1: Like is there a regular like somebody that doesn't work? Like, 381 00:17:34,000 --> 00:17:36,560 Speaker 1: especially if you have hours where you can't like we 382 00:17:36,600 --> 00:17:39,000 Speaker 1: can't do any there's no appointment in the morning that 383 00:17:39,040 --> 00:17:42,440 Speaker 1: I can go toever, so sometimes I like to explain, hey, 384 00:17:42,520 --> 00:17:44,480 Speaker 1: I can't make it in the morning, and then they're 385 00:17:44,600 --> 00:17:45,640 Speaker 1: then they're more apt to work. 386 00:17:46,560 --> 00:17:47,760 Speaker 6: What do you have it when? What do you have it? 387 00:17:47,800 --> 00:17:48,520 Speaker 6: Whin or two o'clock? 388 00:17:48,640 --> 00:17:50,640 Speaker 1: No, but they'll go we have nothing, and you go, yeah, 389 00:17:50,640 --> 00:17:52,040 Speaker 1: but listen, you don't understand. 390 00:17:52,080 --> 00:17:53,960 Speaker 3: I can't do mornings. 391 00:17:53,640 --> 00:17:55,679 Speaker 1: Like I wish I could. I would, I'd love to, 392 00:17:56,040 --> 00:17:58,159 Speaker 1: but I can't. Can you work with me? And a 393 00:17:58,160 --> 00:18:01,440 Speaker 1: lot of times they'll say no, but that's probably a chatbot. 394 00:18:01,600 --> 00:18:04,560 Speaker 1: But give me a human who can understand empathy like 395 00:18:04,640 --> 00:18:06,040 Speaker 1: I can understand empathy. 396 00:18:06,440 --> 00:18:09,440 Speaker 5: But there's another one here. This person works in HR 397 00:18:09,520 --> 00:18:12,240 Speaker 5: and says we have Ava. 398 00:18:12,440 --> 00:18:14,360 Speaker 3: Stop naking them. 399 00:18:14,560 --> 00:18:19,600 Speaker 5: Ava will say that she is a chatbot, so. 400 00:18:19,520 --> 00:18:23,080 Speaker 6: That okay, that's that's fine, or a virtual assistant or something. 401 00:18:23,200 --> 00:18:27,320 Speaker 1: If you're not a virtual assistant, you're not a virtual assistant, 402 00:18:27,480 --> 00:18:28,480 Speaker 1: you're a chat bot. 403 00:18:28,880 --> 00:18:31,640 Speaker 3: And but that's where I go, Ava, Nice to meet you. 404 00:18:32,200 --> 00:18:34,159 Speaker 3: I don't know why I'm saying that. 405 00:18:34,160 --> 00:18:36,639 Speaker 5: It's like me when I think, Alexa, can you give me? 406 00:18:37,080 --> 00:18:39,080 Speaker 3: Can you give me a human being? 407 00:18:39,920 --> 00:18:42,800 Speaker 1: I want able to go hold please. And then the 408 00:18:42,840 --> 00:18:45,440 Speaker 1: next one, I wanted to be, Hey, what's up, buddy. 409 00:18:45,160 --> 00:18:47,800 Speaker 3: It's Jim. But I want it to be a real gym, 410 00:18:47,840 --> 00:18:48,880 Speaker 3: not a fake gym. 411 00:18:49,280 --> 00:18:52,440 Speaker 1: Yes, that's what I want, and I don't think that's 412 00:18:52,480 --> 00:18:53,480 Speaker 1: asking for too much. 413 00:18:54,760 --> 00:18:58,200 Speaker 5: So what if these respondents in the Johns Hopkins poll 414 00:18:58,320 --> 00:19:01,000 Speaker 5: are saying they want this legal to get to a 415 00:19:01,119 --> 00:19:06,920 Speaker 5: human being presented. Are there bills even being considerate like this? 416 00:19:07,280 --> 00:19:10,080 Speaker 1: No, no, no, no, oh no not yet, but like 417 00:19:10,160 --> 00:19:12,520 Speaker 1: go back to go back to the call centers in 418 00:19:12,560 --> 00:19:15,720 Speaker 1: the in the debt collectors. Is if you asked to 419 00:19:15,720 --> 00:19:19,160 Speaker 1: speak to a manager about like I don't know, maybe 420 00:19:19,160 --> 00:19:20,840 Speaker 1: I had an NSF on a check. I don't know, 421 00:19:20,880 --> 00:19:25,320 Speaker 1: but whatever it is, you go from chat bot entry 422 00:19:25,400 --> 00:19:29,080 Speaker 1: level to chat bot manager, like you don't even get 423 00:19:29,080 --> 00:19:32,360 Speaker 1: another human. It just it's robot to robot. I don't 424 00:19:32,400 --> 00:19:32,800 Speaker 1: want that. 425 00:19:33,000 --> 00:19:35,800 Speaker 3: No, I don't want that at all. I want a human. 426 00:19:36,480 --> 00:19:39,760 Speaker 5: And I realize I'm saying that being quite thoroughly impressed 427 00:19:39,760 --> 00:19:43,439 Speaker 5: by Nordstrom's beta program, I think they can take it 428 00:19:43,440 --> 00:19:46,160 Speaker 5: out of beta. The test things over My goodness suit, 429 00:19:46,200 --> 00:19:48,600 Speaker 5: the suit that they popped up for me is so nice. 430 00:19:48,920 --> 00:19:49,600 Speaker 5: I may buy it. 431 00:19:49,680 --> 00:19:52,440 Speaker 1: Yeah, no, but listen, that's great, but you knew what 432 00:19:52,480 --> 00:19:55,359 Speaker 1: you were getting into. Yes, and they did a nice job. 433 00:19:55,680 --> 00:19:58,520 Speaker 1: That's like the ninety nine percent they can solve. 434 00:19:58,720 --> 00:20:02,040 Speaker 5: That's great, But I am I giving into it because 435 00:20:02,040 --> 00:20:05,280 Speaker 5: I negotiated with the robot. What do you mean, like 436 00:20:05,480 --> 00:20:07,720 Speaker 5: I entered into the back and forth. 437 00:20:07,920 --> 00:20:08,960 Speaker 3: Yeah so you went in. 438 00:20:09,119 --> 00:20:13,680 Speaker 5: Yes, I knew right, but I'm part of the problem. Yeah, 439 00:20:13,720 --> 00:20:15,840 Speaker 5: well that's not good. I feel like, if I buy this, 440 00:20:16,000 --> 00:20:18,480 Speaker 5: it's the ultimate concession. 441 00:20:20,040 --> 00:20:21,119 Speaker 3: I don't have a problem with that. 442 00:20:22,000 --> 00:20:24,240 Speaker 5: I've trained it and now. 443 00:20:25,480 --> 00:20:26,000 Speaker 6: And it's selling. 444 00:20:26,080 --> 00:20:28,440 Speaker 5: Is I want for Kevin's wife this to be the case. 445 00:20:28,480 --> 00:20:31,280 Speaker 5: I don't want them to use the shopping AI beta 446 00:20:32,000 --> 00:20:34,439 Speaker 5: to figure out the customer service AI. 447 00:20:34,680 --> 00:20:35,840 Speaker 3: Oh, I see what you're saying. 448 00:20:35,920 --> 00:20:38,840 Speaker 1: So even though it was helpful here, Kevin gets home 449 00:20:38,840 --> 00:20:41,439 Speaker 1: from work today and his wife is like, I was 450 00:20:41,440 --> 00:20:44,359 Speaker 1: trying to put together this thing outfit, but I guess 451 00:20:44,400 --> 00:20:46,040 Speaker 1: Ava did a much better job. 452 00:20:46,119 --> 00:20:47,400 Speaker 3: And now I'm out at work. 453 00:20:47,240 --> 00:20:50,040 Speaker 5: And I'm sure Kevin's wife knew that I should embrace 454 00:20:50,160 --> 00:20:53,399 Speaker 5: the texture. It was part of that rock star on 455 00:20:53,480 --> 00:21:02,480 Speaker 5: holiday Charm of the eighties, line seven, Hi. 456 00:21:02,400 --> 00:21:06,560 Speaker 3: Ellieah the morning. Hi is this me? Yeah? 457 00:21:06,640 --> 00:21:06,760 Speaker 2: Hi? 458 00:21:06,800 --> 00:21:08,920 Speaker 3: Who's this? Hi? 459 00:21:08,960 --> 00:21:12,000 Speaker 7: Elliet? My name is Marcus. First off, your AI impressions 460 00:21:12,000 --> 00:21:14,040 Speaker 7: are making me snort my coffee in traffic. 461 00:21:13,720 --> 00:21:14,879 Speaker 3: So thank you, thank you. 462 00:21:14,960 --> 00:21:21,119 Speaker 7: Fantastic AI being used in customer service is fascinating to 463 00:21:21,160 --> 00:21:22,800 Speaker 7: me because I work on the medical side. I really 464 00:21:22,840 --> 00:21:27,399 Speaker 7: can't tell you what hospital. But you have emotionally charged 465 00:21:27,440 --> 00:21:29,359 Speaker 7: people who come to the phone, right, and they have 466 00:21:29,480 --> 00:21:31,960 Speaker 7: all these problems, They have all of this trauma, and 467 00:21:32,000 --> 00:21:34,080 Speaker 7: they just want to dump on the first person that 468 00:21:34,119 --> 00:21:37,080 Speaker 7: they call. And normally we would have our secretaries or 469 00:21:37,080 --> 00:21:40,119 Speaker 7: our call lines like handle that sort through it and 470 00:21:40,160 --> 00:21:43,159 Speaker 7: then direct them to where they need to go. I 471 00:21:43,200 --> 00:21:46,080 Speaker 7: think somewhere down the line we lost the ability to 472 00:21:46,160 --> 00:21:49,760 Speaker 7: separate efficiency from economics, because you're right, a lot of 473 00:21:49,760 --> 00:21:51,920 Speaker 7: those chat thoughts out there are just kind of there 474 00:21:51,960 --> 00:21:54,479 Speaker 7: to help filter out the people they get too easily 475 00:21:54,520 --> 00:21:57,119 Speaker 7: frustrated and don't understand whether they need to talk to 476 00:21:57,119 --> 00:21:59,920 Speaker 7: a nurse or they just need a prescription refill. Because 477 00:22:00,080 --> 00:22:01,719 Speaker 7: I want to talk about is the fact that their 478 00:22:01,760 --> 00:22:08,000 Speaker 7: throat feels weird. I guess my my caveat to it 479 00:22:08,040 --> 00:22:10,439 Speaker 7: would be if you want to talk to a person. 480 00:22:10,520 --> 00:22:15,080 Speaker 7: You guys talked about canned responses. Right, we are getting 481 00:22:15,080 --> 00:22:17,440 Speaker 7: in such a weird legal zone where if you say 482 00:22:17,440 --> 00:22:19,480 Speaker 7: the wrong thing over the phone, especially when it comes 483 00:22:19,480 --> 00:22:23,280 Speaker 7: to hospitals, that now they can sue you for psychological trauma. 484 00:22:23,680 --> 00:22:26,800 Speaker 7: And I want to know, can these chatbots actually be 485 00:22:26,880 --> 00:22:30,360 Speaker 7: held liable for causing more trauma. 486 00:22:30,560 --> 00:22:34,200 Speaker 1: Oh that's a great question. That's a great question. I 487 00:22:34,400 --> 00:22:37,680 Speaker 1: like that a lot. And listen, I get that somebody, 488 00:22:37,800 --> 00:22:41,439 Speaker 1: somebody may feel ill in call and what think like, Like, 489 00:22:41,520 --> 00:22:44,960 Speaker 1: you're right, I think there's something wrong. I'm not looking 490 00:22:44,960 --> 00:22:47,919 Speaker 1: to fill a prescription. I'll do that through a chatbot. 491 00:22:48,040 --> 00:22:50,919 Speaker 1: That's fine. I have no problem with that. But you're right, like, 492 00:22:50,960 --> 00:22:54,679 Speaker 1: if somebody needs a little calm and down or somebody's concerned. 493 00:22:54,560 --> 00:22:55,760 Speaker 3: I don't I don't want a robot. 494 00:22:56,040 --> 00:23:01,240 Speaker 7: I don't want a robot, agree, because, like you said yourself, 495 00:23:01,240 --> 00:23:04,040 Speaker 7: sometimes you just need you're not available in the morning, right, 496 00:23:04,320 --> 00:23:06,679 Speaker 7: and the bot just sends you in this circle of like, well, 497 00:23:06,720 --> 00:23:08,639 Speaker 7: if you're not available at eddim, are you available at 498 00:23:08,680 --> 00:23:12,280 Speaker 7: EDDIM on Tuesdays? It's like no, not, they stay right, 499 00:23:12,400 --> 00:23:13,120 Speaker 7: I don't know why. 500 00:23:13,040 --> 00:23:17,520 Speaker 1: Don't you ask right the Oh I do like that though, 501 00:23:17,520 --> 00:23:20,600 Speaker 1: because that would be my chatbox response you are dying 502 00:23:21,240 --> 00:23:23,160 Speaker 1: and so yeah, that could be a problem. 503 00:23:23,400 --> 00:23:26,720 Speaker 3: That could be a problem. Oh that's a great legal question. 504 00:23:26,920 --> 00:23:27,520 Speaker 3: I like that. 505 00:23:28,520 --> 00:23:29,960 Speaker 6: I like that. 506 00:23:29,480 --> 00:23:32,000 Speaker 4: A body, are you're going to sue the man, the 507 00:23:32,040 --> 00:23:34,000 Speaker 4: makers of the body, You're going to sue the company and. 508 00:23:34,000 --> 00:23:35,760 Speaker 3: The company trained. 509 00:23:35,840 --> 00:23:41,080 Speaker 1: They should have trained the Nordstrom shopper better. Because I 510 00:23:41,119 --> 00:23:44,080 Speaker 1: thought I was buying Stings outfit, I got ship Mark 511 00:23:44,160 --> 00:23:45,119 Speaker 1: Knopfler's outfit. 512 00:23:45,240 --> 00:23:46,920 Speaker 3: I don't even wear band danas