WEBVTT 1 00:00:00.080 --> 00:00:02.319 We're back here on another podcast right here from the 2 00:00:02.319 --> 00:00:05.599 Saber Network, and we are covering today the topic of 3 00:00:05.719 --> 00:00:09.679 AI and its use case within the restaurant industry. Obviously 4 00:00:09.800 --> 00:00:12.519 joining me right now is mister Rudy Mick. How are you. 5 00:00:13.000 --> 00:00:15.199 I'm so good, good to be here. Thanks. 6 00:00:15.279 --> 00:00:17.359 Yeah, So we're going to get down into something that 7 00:00:18.000 --> 00:00:19.519 we haven't talked about. I mean, I've had a lot 8 00:00:19.600 --> 00:00:21.960 of people on and quite a few of our masterminds 9 00:00:22.000 --> 00:00:24.239 have talked about the topic of AI. Oh yeah, it's 10 00:00:24.239 --> 00:00:27.399 coming a lot of people. We're going to get into it. 11 00:00:27.480 --> 00:00:30.559 The technology is going to shift the industry. But the 12 00:00:30.600 --> 00:00:34.439 one thing that has always left out, Rudy, is something 13 00:00:34.479 --> 00:00:36.759 you're really good at, and that is how does this 14 00:00:36.799 --> 00:00:41.840 affect culture? How does this affect the consumer mindset about 15 00:00:41.920 --> 00:00:45.759 culture in a restaurant. So today that's our topic. Stay 16 00:00:45.759 --> 00:00:57.000 tuned right here. This episode is brought to you in 17 00:00:57.000 --> 00:01:00.719 part by Gusto, the number one rated HR platform for payroll, 18 00:01:00.880 --> 00:01:05.159 benefits and more. With Gusto's easy to use platform, you 19 00:01:05.159 --> 00:01:09.200 can empower your people and push your business forward. Over 20 00:01:09.239 --> 00:01:13.319 four hundred thousand businesses choose Gusto every day. Now let's 21 00:01:13.319 --> 00:01:15.319 get into it, guys, there's a couple of things you 22 00:01:15.359 --> 00:01:18.159 can do with Gusto that you should check out. Some 23 00:01:18.280 --> 00:01:20.920 of the solutions that you're just absolutely going to want 24 00:01:20.959 --> 00:01:24.920 to know about is of course their business type new 25 00:01:24.920 --> 00:01:28.719 businesses and startups. You guys are welcome coming in small businesses. 26 00:01:28.799 --> 00:01:30.920 Maybe you have a mid sized business that needs an 27 00:01:30.959 --> 00:01:34.760 all in one payroll and benefit program as well as 28 00:01:34.959 --> 00:01:37.760 HR all of this scaling. The cool thing about this 29 00:01:37.879 --> 00:01:40.719 is it's an all in one platform. They can also 30 00:01:40.920 --> 00:01:45.159 select and punch in right to your accountants, So check 31 00:01:45.200 --> 00:01:48.640 it out. You've got a Gusto Pro platform. You can 32 00:01:48.719 --> 00:01:50.879 become a partner with them if you're an accountant, So 33 00:01:50.920 --> 00:01:53.400 if you have a CPA already, this is the place 34 00:01:53.439 --> 00:01:56.280 for you. And of course the best thing is pricing. 35 00:01:56.480 --> 00:02:01.519 The thing about Gusto is flexible plans and feature honest pricing, 36 00:02:01.560 --> 00:02:04.359 no hidden fees. This is the plan that we use, 37 00:02:04.480 --> 00:02:07.920 which is the Plus plan sixty bucks a month, guys, 38 00:02:07.920 --> 00:02:10.199 you cannot go wrong. It's about nine bucks a person, 39 00:02:10.280 --> 00:02:13.080 so you guys can definitely afford it. Get in there 40 00:02:13.120 --> 00:02:17.479 and choose Gusto with a full suite of tax services, 41 00:02:17.759 --> 00:02:23.199 HR services, time tracking, scheduling, expenses, reimbursements. You get the picture. 42 00:02:23.520 --> 00:02:25.759 Gusto is the place for you. Check it all out. 43 00:02:25.879 --> 00:02:29.080 Just go over to Gusto dot com use our link 44 00:02:29.560 --> 00:02:33.439 down below to get started. See you there. All right, 45 00:02:33.479 --> 00:02:36.240 we're back here, Rudy. Let's jump into it tight and 46 00:02:36.280 --> 00:02:38.439 get into the topic. I want to lead off with, 47 00:02:39.240 --> 00:02:41.319 first of all, when you look at because I think 48 00:02:41.360 --> 00:02:44.199 a lot of people may not necessarily understand completely how 49 00:02:44.240 --> 00:02:47.879 you engage with operators. You and I talked about this 50 00:02:47.919 --> 00:02:51.319 pre show. When you talk to operators that are you know, 51 00:02:51.560 --> 00:02:55.840 let's say, independent operators, and then you have brand operators, 52 00:02:56.240 --> 00:02:59.039 what is the kind of the feel of whether or 53 00:02:59.080 --> 00:03:02.319 not they're ready for this? Right now? What are you seeing? 54 00:03:03.120 --> 00:03:07.840 I am seeing across the board the great majority of 55 00:03:08.039 --> 00:03:14.560 operators in every segment and every size, from really large 56 00:03:14.680 --> 00:03:18.719 hundreds and hundreds of units to down to two three 57 00:03:19.520 --> 00:03:24.400 stores and looking to grow. There is not a doubt 58 00:03:24.560 --> 00:03:28.719 that AI and tech is come in full force. There's 59 00:03:28.840 --> 00:03:33.039 no denial of that. I don't I'm not even sure 60 00:03:33.120 --> 00:03:37.360 that there's fear of it. I think the big question, 61 00:03:37.639 --> 00:03:42.280 and my experience of the question is how are we 62 00:03:42.360 --> 00:03:47.719 going to utilize this Because some of my customers want 63 00:03:48.080 --> 00:03:55.400 tech and want no touch with humans and an interesting 64 00:03:55.800 --> 00:04:03.800 moving margin of guests do right we were, I'm seeing 65 00:04:04.000 --> 00:04:07.840 a swing across the country back and forth between I 66 00:04:07.919 --> 00:04:12.080 want no contact, give me AI or tech to oh 67 00:04:12.120 --> 00:04:18.199 my god, I miss human connection, I miss interaction. Right, So, 68 00:04:18.680 --> 00:04:21.000 I think that's going to be the tap dance, Paul, 69 00:04:21.519 --> 00:04:24.879 not as a simple answer yes. 70 00:04:24.800 --> 00:04:28.319 Or no, yeah, exactly right. Well, I think the key 71 00:04:28.399 --> 00:04:31.399 that you have to hit on a lot right now 72 00:04:31.480 --> 00:04:34.879 is really around the whole customer service experience, because that's 73 00:04:34.879 --> 00:04:37.160 the one we just showed that on screen. You know, 74 00:04:37.199 --> 00:04:40.079 it's one of the most visible applications that people are 75 00:04:40.120 --> 00:04:44.399 looking at within AI, and whether it's touch points like 76 00:04:44.480 --> 00:04:46.879 in quick service, like you look at, you know, the 77 00:04:46.920 --> 00:04:51.720 idea of ordering Kiosk or possibly even mobile interaction, all 78 00:04:51.759 --> 00:04:54.680 of those kinds of things that take away the obvious, 79 00:04:54.839 --> 00:04:57.319 you know, the obvious touch point. But when you get 80 00:04:57.319 --> 00:05:04.639 into the component of full service, independent find dining, casual dining, 81 00:05:05.279 --> 00:05:08.720 those are much different because the customer service is a 82 00:05:08.839 --> 00:05:11.759 one on one, usually at the table side or at 83 00:05:11.839 --> 00:05:15.519 least on the greet. When you look at the potential 84 00:05:15.519 --> 00:05:19.360 of AI integration within that, I mean, do you feel 85 00:05:19.360 --> 00:05:22.079 like we are in a position where the industry is 86 00:05:22.240 --> 00:05:26.720 ready to kind of replace some sort of element of 87 00:05:26.759 --> 00:05:29.399 that first greet or at least the customer service side 88 00:05:29.439 --> 00:05:29.600 of it. 89 00:05:30.079 --> 00:05:34.079 I like anything. I think there are early adapters out there. 90 00:05:34.639 --> 00:05:37.920 You and I both know some operators that are jumping, 91 00:05:38.000 --> 00:05:42.000 ready to get force. Right, So the early adapters are 92 00:05:42.040 --> 00:05:47.800 ready to experiment and then pivot quickly. I think that 93 00:05:47.439 --> 00:05:52.399 for the folks that are courageous and have the cash 94 00:05:52.399 --> 00:05:56.279 flow and the and the war chest to invest in 95 00:05:56.360 --> 00:06:00.240 AI early, I think that's exactly what's being done. There's 96 00:06:00.319 --> 00:06:04.199 experimentation with where is the touch point? How does the 97 00:06:04.319 --> 00:06:09.519 touch point grow or diminish? Right? It could go? Where? 98 00:06:09.560 --> 00:06:14.199 And what is that relationship? In real time? And not 99 00:06:14.319 --> 00:06:19.199 unlike we would track prime costs or labor turnover, we 100 00:06:19.360 --> 00:06:26.399 can track and make decisions in the moment about the 101 00:06:26.560 --> 00:06:31.959 contact point and the frequency and the retention that happens 102 00:06:32.399 --> 00:06:37.160 from a guest experience from either component. Oh, because I 103 00:06:37.160 --> 00:06:42.160 think there's an interesting irony with AI growing. How do 104 00:06:42.279 --> 00:06:47.319 we grow? Also, we can't let the human choice just sit. 105 00:06:47.759 --> 00:06:51.879 The human choice has got to move and raise I 106 00:06:51.920 --> 00:06:55.079 think as well, because otherwise a I will trounce it. 107 00:06:55.439 --> 00:06:59.879 Right, get this look at this data point right here. 108 00:07:00.000 --> 00:07:02.120 This is something that I think and I want your opinion. 109 00:07:02.199 --> 00:07:04.160 Do you think this is going to be real? Sixty 110 00:07:04.199 --> 00:07:06.560 two percent of restaurant leaders now believe AI is going 111 00:07:06.600 --> 00:07:11.279 to be a significant competitive advantage to restaurants that adopt it, 112 00:07:11.959 --> 00:07:17.040 with sixty seven percent feeling well positioned to leverage AI 113 00:07:17.120 --> 00:07:21.240 for market differentiation. So basically they're saying, operators are like, 114 00:07:21.279 --> 00:07:23.199 it's kind of like social. If you have it, it's 115 00:07:23.240 --> 00:07:25.120 going to give you a leg up. If you don't, 116 00:07:25.240 --> 00:07:28.120 you're going to look kind of behind. Do you think 117 00:07:28.240 --> 00:07:31.439 customers are really going to be first of all, first question, 118 00:07:31.480 --> 00:07:34.040 do you think customers are really going to choose by 119 00:07:34.040 --> 00:07:35.480 whether or not you have it or you don't. 120 00:07:36.399 --> 00:07:41.079 I think what's going to happen is the wise operators 121 00:07:42.000 --> 00:07:50.040 that are using AI to expedite and ease the guest experience, 122 00:07:50.720 --> 00:07:56.959 make easier and more successful the guest experience success meaning 123 00:07:57.360 --> 00:07:59.920 any number of things, right, it's not a short live 124 00:08:00.519 --> 00:08:05.920 right for those operators that figure out how to make 125 00:08:06.000 --> 00:08:10.000 my quest to find your restaurant, to return to it, 126 00:08:10.439 --> 00:08:15.639 to order online, to get my food faster, quicker, easier, 127 00:08:15.879 --> 00:08:20.560 to order in advance, to make some sort of special occasion, 128 00:08:21.560 --> 00:08:28.360 easier to correspond, right, easier to communicate. Those operators are 129 00:08:28.399 --> 00:08:32.879 going to be hugely successful. If the AI gets in 130 00:08:32.919 --> 00:08:36.519 the way of my experience and lets me, as a 131 00:08:36.600 --> 00:08:43.559 guest stumble or the team stumble because the training isn't consistent, 132 00:08:43.840 --> 00:08:46.120 I think we're going to have trouble. It's that it's 133 00:08:46.159 --> 00:08:50.720 going to come down to performance, plain and simple. 134 00:08:51.120 --> 00:08:54.639 Yeah, yeah, going back to this, let me bring this 135 00:08:54.720 --> 00:08:55.840 back up here if I can. 136 00:08:56.039 --> 00:08:59.720 One of the easy dialogues, right, and we're seeing this 137 00:08:59.799 --> 00:09:05.039 in qsr kiosks and stuff, is oh, if I want 138 00:09:05.039 --> 00:09:08.159 to go one direction or another, one hundred percent AI 139 00:09:08.320 --> 00:09:13.559 one hundred percent attach right, a very little human touch point. 140 00:09:13.799 --> 00:09:16.559 That's a whole other dialogue. But in that, in that 141 00:09:17.200 --> 00:09:22.639 from sit down dining to even a more in depth 142 00:09:22.720 --> 00:09:27.480 fast casual experience, that's where this question is really front 143 00:09:27.480 --> 00:09:27.960 and center. 144 00:09:28.399 --> 00:09:30.639 Well, and look at look at what they're saying here, 145 00:09:30.639 --> 00:09:33.320 because this is the kind of an interesting statement that 146 00:09:33.360 --> 00:09:37.159 he's getting at. This is a Chicago based bar guy 147 00:09:38.679 --> 00:09:41.840 Hospitality works as a company. He said that AI is 148 00:09:41.840 --> 00:09:44.759 going to have a substantial impact on labor costs. So 149 00:09:45.360 --> 00:09:49.080 everybody's kind of been talking about that, especially in fast food. Now, 150 00:09:49.120 --> 00:09:51.759 I get it that fast food will be kind of 151 00:09:51.799 --> 00:09:56.000 the lynch pin for AI's use case because it's the 152 00:09:56.039 --> 00:10:00.759 lowest hanging fruit that delivers, you know, very specific automation. 153 00:10:01.279 --> 00:10:03.799 We get that, you know, in the industry, and I 154 00:10:03.840 --> 00:10:07.440 can understand that, but I look at it and I 155 00:10:07.600 --> 00:10:10.799 wonder because I I kind of remind myself. We did 156 00:10:10.960 --> 00:10:14.519 a gen Z corner last week on on UH, you know, 157 00:10:14.600 --> 00:10:16.039 Masterminds and. 158 00:10:17.519 --> 00:10:17.840 UH. 159 00:10:17.879 --> 00:10:19.759 It was interesting because we had an eight and a 160 00:10:19.799 --> 00:10:22.519 nine year old on the show and they were talking about, 161 00:10:22.559 --> 00:10:25.440 you know, the use case why they like restaurants. A 162 00:10:25.480 --> 00:10:27.559 lot of it was menu driven, but some of the 163 00:10:27.559 --> 00:10:31.360 things that they said was because the people were nice. 164 00:10:31.879 --> 00:10:37.039 So if you take the component of that that you know, 165 00:10:37.159 --> 00:10:41.279 that personal connection out, do you think gen Z's will 166 00:10:41.399 --> 00:10:45.919 matter because they're very screen oriented already. Do you think 167 00:10:45.960 --> 00:10:48.559 that they'll do they'll care do they think do you 168 00:10:48.600 --> 00:10:51.840 think they will think that that matters in the selection 169 00:10:52.679 --> 00:10:54.320 of a restaurant and say, hey, mom, I want to 170 00:10:54.320 --> 00:10:58.039 go to Chick fil A instead of you know, Chipole 171 00:10:58.519 --> 00:10:59.919 because whatever. 172 00:11:00.879 --> 00:11:03.639 Well, you know what I've found over the years with 173 00:11:03.799 --> 00:11:08.559 eight nine year old kids, fifteen, sixteen year old, five 174 00:11:08.639 --> 00:11:13.320 and six year olds is they have opinions as you name. 175 00:11:14.360 --> 00:11:20.360 And the only driver more important than the mom or 176 00:11:20.399 --> 00:11:24.879 the character and the family, oh totally, that guides more 177 00:11:25.000 --> 00:11:28.759 than the giver are the kids themselves. 178 00:11:28.960 --> 00:11:31.960 Yeah. Well, and I think and what I'm. 179 00:11:31.799 --> 00:11:35.120 Really struck by with the data that you just shared 180 00:11:35.279 --> 00:11:38.399 is here's an innate eight and a nine year old 181 00:11:38.519 --> 00:11:41.960 quote that are going. Wow. I love it when somebody 182 00:11:42.039 --> 00:11:47.960 says hello, welcome and looks right appy. That feels good. 183 00:11:48.600 --> 00:11:51.840 What's the most powerful you know? And especially when you 184 00:11:51.879 --> 00:11:53.960 get in and this is not trained well enough, I 185 00:11:54.000 --> 00:11:57.919 think in the use case for even fine dining is 186 00:11:58.759 --> 00:12:01.919 and I don't know if you've seen this, well, we've 187 00:12:01.960 --> 00:12:03.480 talked about it quite a bit, you know, the lack 188 00:12:03.519 --> 00:12:06.879 of hospitality or the declining sentiment on hospitality. I was 189 00:12:06.919 --> 00:12:08.960 at a restaurant the other night and it was the 190 00:12:08.960 --> 00:12:11.840 first time that I truly felt like somebody had been 191 00:12:11.919 --> 00:12:16.679 training these servers, because, you know, the first thing, instead 192 00:12:16.679 --> 00:12:19.519 of just asking what do you want? And here's this, 193 00:12:20.519 --> 00:12:24.440 they asked my name. They asked me my name, and 194 00:12:24.480 --> 00:12:27.440 I'm like, hey, I'm Paul, nice to meet you. And 195 00:12:27.759 --> 00:12:31.759 they must have used my name twenty times at the 196 00:12:31.799 --> 00:12:36.039 table as if they knew me, and you know it 197 00:12:36.200 --> 00:12:39.320 as well as anybody. We as humans love to hear 198 00:12:39.360 --> 00:12:44.120 our name being discussed. And I think that's the question. 199 00:12:44.240 --> 00:12:51.679 Can we train AI into hospitality traits? Can it be 200 00:12:51.799 --> 00:12:54.200 trained into hospitality traits? 201 00:12:54.240 --> 00:12:56.559 What do you think? I think there's not even a 202 00:12:56.679 --> 00:13:00.559 question about that. The answer is yes, right, it's coming. 203 00:13:00.720 --> 00:13:04.879 It's going to come fast and furious. And with that 204 00:13:05.039 --> 00:13:12.279 intention of actually, can I create not only that hospitality 205 00:13:12.399 --> 00:13:19.559 but the connection? Right And and then then you get 206 00:13:19.639 --> 00:13:22.759 I'm going to contradict myself here. Then we add that 207 00:13:23.960 --> 00:13:32.600 aspect of pure human voice, sort of connection and tone 208 00:13:33.559 --> 00:13:39.879 and intention that we translate from the tone to robotic 209 00:13:40.000 --> 00:13:44.759 eye contact, right and and the entertainment of oh my gosh, 210 00:13:45.000 --> 00:13:49.360 this is robotics in action with a human touch. Right 211 00:13:49.480 --> 00:13:55.159 And in six gens from now, we're going to be Yeah, 212 00:13:55.240 --> 00:13:56.799 the world. I got to share the place. 213 00:13:57.120 --> 00:13:59.480 I got to share this with you. Okay, I'm going 214 00:13:59.519 --> 00:14:01.120 to bring this up up on screen because this is 215 00:14:01.120 --> 00:14:03.559 going to blow you guys away. So this is the 216 00:14:03.679 --> 00:14:06.360 idea that some of the stuff was at CEES. I'm 217 00:14:06.440 --> 00:14:09.000 going to bring it up on screen and I'll play 218 00:14:09.000 --> 00:14:12.080 the video. So that's that's a robot that we're looking 219 00:14:12.080 --> 00:14:14.799 at right now, and the idea here company that's on 220 00:14:14.840 --> 00:14:17.919 a mission to making humanoid robots as realistic as possible. 221 00:14:18.240 --> 00:14:19.120 Let's check it out. Watch. 222 00:14:19.159 --> 00:14:21.960 We're gonna interview Aria and meet some of her robot friends. 223 00:14:22.279 --> 00:14:24.799 Let's get into it. Would you see this at a 224 00:14:25.360 --> 00:14:28.080 hostile At the very minimum, you can probably see it 225 00:14:28.159 --> 00:14:31.919 as a Aria. Could you please introduce yourself in. 226 00:14:31.919 --> 00:14:38.360 What you do. I'm Maria, the flagship female companion robot 227 00:14:38.399 --> 00:14:40.759 of Rerobotics, and I'm here to engage with you and 228 00:14:40.840 --> 00:14:42.840 share exciting insights about our robots. 229 00:14:43.240 --> 00:14:47.080 Let's say. So, it's not necessarily the uh, I'll bring 230 00:14:47.159 --> 00:14:49.919 that off the screen here, but it's not necessarily the 231 00:14:50.279 --> 00:14:53.559 most beautiful thing in terms of the visual side of things. 232 00:14:53.960 --> 00:14:58.480 And it's definitely not you know, ex machiina No. 233 00:14:58.799 --> 00:15:01.519 But what is coming to mind to me? I was 234 00:15:01.559 --> 00:15:05.000 trying to think of the name of the movie, and 235 00:15:05.679 --> 00:15:10.679 Robin Williams, the Great Robin Williams in nineteen ninety nine 236 00:15:10.840 --> 00:15:15.799 was in this movie called Bisonennial Men Ye strinted out 237 00:15:15.840 --> 00:15:20.399 as a raw robot and generation after generation after generation, 238 00:15:20.480 --> 00:15:24.200 we're going to do this way faster. But the whole 239 00:15:24.240 --> 00:15:31.240 point was can I become human? Right, And ultimately the 240 00:15:31.320 --> 00:15:34.919 answer became yes. So to your point that early AI 241 00:15:35.519 --> 00:15:40.000 robotic that we just that you just shared with the audience, yeah, 242 00:15:40.039 --> 00:15:44.799 there's first gen six gens from now, Yes, exactly, so 243 00:15:44.879 --> 00:15:50.559 a case can be made how for this However, one 244 00:15:50.639 --> 00:15:53.000 of the things that I'm sitting with is, well, wait, 245 00:15:54.440 --> 00:15:58.159 it's still not human. That's one number two. Even if 246 00:15:58.200 --> 00:16:04.080 we switch human to robotics AI on steroids, I've now 247 00:16:04.159 --> 00:16:07.799 got to have the investment capability, albeit at a capital 248 00:16:07.840 --> 00:16:11.200 expense capital investment, but I've got to have the cash 249 00:16:11.320 --> 00:16:14.480 to go ahead and get refit my team with. 250 00:16:14.759 --> 00:16:17.120 But think about hiring. I mean, you know, really, if 251 00:16:17.159 --> 00:16:21.480 you get a good person with training costs the person 252 00:16:21.559 --> 00:16:26.600 itself themselves for a year, I mean you're probably at 253 00:16:27.200 --> 00:16:30.399 the minimum, let's say a high level person in a 254 00:16:30.480 --> 00:16:34.720 you know, in a mid range independent Okay, that's probably 255 00:16:34.720 --> 00:16:39.320 a fifty thousand dollars investment at the minimum. Yeah, okay, 256 00:16:39.399 --> 00:16:43.279 soly to replace it. Yeah, it's very possible you could 257 00:16:43.279 --> 00:16:46.240 have something if we can see advancements far enough. At 258 00:16:46.279 --> 00:16:49.480 the very minimum, possibly a matre d maybe a wine, 259 00:16:49.919 --> 00:16:53.720 you know, a wine, yeah, possibly a psalm, you know, 260 00:16:53.799 --> 00:16:56.000 I mean, can you imagine the knowledge that could be 261 00:16:56.240 --> 00:17:00.120 funneled in via AI into this Yes, around AI, I'm 262 00:17:00.200 --> 00:17:03.240 using I know, I'm using AI more now when I'm 263 00:17:03.279 --> 00:17:06.160 at the restaurant than ever because I want to find 264 00:17:06.200 --> 00:17:08.359 out about a wine and then it gives me three 265 00:17:08.480 --> 00:17:11.559 or four more derivatives off of that wine, and I 266 00:17:11.640 --> 00:17:14.880 look like I'm you know, I'm master summa. Yea, I'm 267 00:17:15.440 --> 00:17:20.000 ordering ordering wine. So I just see those benefits being there. 268 00:17:20.000 --> 00:17:23.720 But again, I just wonder if the connection between hospitality 269 00:17:23.799 --> 00:17:25.680 is going to be lost, and that that's the whole 270 00:17:25.680 --> 00:17:26.480 thing I'm worried about. 271 00:17:26.759 --> 00:17:29.839 I think that that's the magic That is totally the 272 00:17:29.880 --> 00:17:34.880 magic question, Paul, And I wonder how it's going to 273 00:17:35.160 --> 00:17:38.920 actually add incentive because I think the I think that 274 00:17:39.079 --> 00:17:42.160 our customers, our guests, are going to be the drivers 275 00:17:42.200 --> 00:17:44.079 of this as much as the operators. 276 00:17:44.880 --> 00:17:45.160 Yeah. 277 00:17:45.480 --> 00:17:48.759 I really miss human contact. 278 00:17:49.640 --> 00:17:51.839 Yeah, And what I was showing right there is this 279 00:17:51.920 --> 00:17:55.200 whole idea around personalization. Okay, because if you if you 280 00:17:55.240 --> 00:18:01.200 think about the use case it could be centered around, 281 00:18:01.359 --> 00:18:05.160 which is what the article is saying, is that personalization 282 00:18:05.319 --> 00:18:08.160 is it's always been the heart of hospitality. So the 283 00:18:08.240 --> 00:18:12.079 difference now is can it get personalized at scale. And 284 00:18:12.119 --> 00:18:15.559 if it can, then how much of the industry can 285 00:18:15.599 --> 00:18:21.240 it truly take away that is human operated right now? 286 00:18:21.519 --> 00:18:26.000 Or is it a scenario that allows an operator maybe 287 00:18:26.039 --> 00:18:29.559 just to scale their business more with the human side 288 00:18:29.599 --> 00:18:34.119 of it and adding the AI layer only makes them bigger, 289 00:18:34.200 --> 00:18:37.200 more efficient, etc. Do you think that is going to 290 00:18:37.240 --> 00:18:39.079 be the route that operators take. 291 00:18:39.319 --> 00:18:43.720 Well, here's so back full circle to your the experience 292 00:18:43.759 --> 00:18:47.000 you shared with us just a few minutes ago about 293 00:18:47.400 --> 00:18:51.079 the restaurant you were just at where the staff used 294 00:18:51.079 --> 00:18:52.319 your name twenty. 295 00:18:52.079 --> 00:18:53.880 Times, right, it was crazy? 296 00:18:54.160 --> 00:18:58.119 What is wild with what you shared and just watching 297 00:18:58.160 --> 00:19:00.759 your body language right in your tone voice as you 298 00:19:01.079 --> 00:19:06.400 shared that experience with us in the audience. For a 299 00:19:06.519 --> 00:19:11.319 human being to do that is a choice, yeah, whether 300 00:19:11.359 --> 00:19:14.400 it's the owner's choice and the training, but its owner 301 00:19:14.640 --> 00:19:23.880 to staff choicefulness. And with robotics, even AI generated that 302 00:19:24.039 --> 00:19:33.279 is robotic, it is programmed, right, and maybe there's little difference. However, 303 00:19:33.319 --> 00:19:37.680 I think at least still, whether it's a little kid 304 00:19:37.920 --> 00:19:41.359 or a grown adult or all the gens in between, 305 00:19:42.240 --> 00:19:49.119 the choicefulness of using the most important word in the 306 00:19:49.240 --> 00:19:52.799 English language or any language, which is your name right 307 00:19:52.880 --> 00:19:58.559 by choice is different than just programmed, at least for 308 00:19:58.599 --> 00:20:01.160 a while. I I think this is going to be 309 00:20:01.279 --> 00:20:04.079 one of the great questions you and I are going 310 00:20:04.119 --> 00:20:06.599 to be talking about over the next twenty years. I 311 00:20:06.680 --> 00:20:08.240 really swear to God. 312 00:20:08.920 --> 00:20:12.400 Well. And it's interesting because the psychological effects. Here's an 313 00:20:12.440 --> 00:20:16.480 article right here that gets into this about where AI 314 00:20:16.599 --> 00:20:19.200 could trigger a lot of you know, side effects of 315 00:20:19.519 --> 00:20:22.640 you know, just the case and use of it. A 316 00:20:22.720 --> 00:20:25.720 lot of people are still concerned that there might be 317 00:20:25.920 --> 00:20:30.640 this regressive nature of the human species, so to speak. 318 00:20:30.680 --> 00:20:33.920 But you know, you look at everything from predictive modeling, 319 00:20:34.079 --> 00:20:39.319 you know, then you have the side effects within you know, organizations, 320 00:20:39.480 --> 00:20:44.240 you know, which could be the supply chain, operational challenges 321 00:20:44.279 --> 00:20:46.599 in back office, all those kind of things that are different. 322 00:20:47.000 --> 00:20:51.480 Much less of just the mental health versus the environmental 323 00:20:51.519 --> 00:20:55.400 health of how AI might be used, because AI is 324 00:20:55.440 --> 00:20:59.519 not necessarily in a position where it's going to say, yeah, 325 00:20:59.559 --> 00:21:03.920 i'm you know, because food safety is concerning, right you 326 00:21:03.960 --> 00:21:06.519 get a robot in there. It could care less if 327 00:21:06.519 --> 00:21:09.359 it's been contaminated. Does it really know? That's the question 328 00:21:09.480 --> 00:21:12.079 mark that is going to be questioned. I think when 329 00:21:12.079 --> 00:21:15.240 you get into back of house use case going forward, 330 00:21:15.880 --> 00:21:17.319 especially around this issue. 331 00:21:17.640 --> 00:21:21.599 Well, I would agree with you. And if some operators 332 00:21:22.640 --> 00:21:27.759 are out there and are already not maintaining equipment or 333 00:21:27.880 --> 00:21:35.000 not maintaining or implementing human training, staff training, safety, sanitation, right, 334 00:21:35.119 --> 00:21:37.200 what it's going to say that they will do that 335 00:21:37.359 --> 00:21:43.079 maintenance and repair on their tech stacks and their equipment, 336 00:21:43.240 --> 00:21:47.920 robotic equipment, same deal, Right, I think there's still discipline 337 00:21:47.960 --> 00:21:53.759 and choice. So there is a light and shadow issue 338 00:21:54.359 --> 00:21:56.640 with both sides of the equation. Right. 339 00:21:56.720 --> 00:21:59.960 I saw some of the robots being done by Boss 340 00:22:00.039 --> 00:22:04.319 and Dynamics will show some on screen, but they had 341 00:22:04.359 --> 00:22:07.720 one that was like a horse robot that was traversing 342 00:22:07.759 --> 00:22:12.480 a whole, you know, very unusual landscape. And I'm thinking, 343 00:22:12.559 --> 00:22:17.480 if one of these things goes awry, this could be dangerous. 344 00:22:17.559 --> 00:22:20.200 You know, imagine that in the back of house if 345 00:22:20.279 --> 00:22:22.680 you had something that is you know, that could go awry. 346 00:22:22.759 --> 00:22:26.000 And again, I'm still concerned that we're we're so new 347 00:22:26.200 --> 00:22:30.920 into this era. And my concern is because of the 348 00:22:32.160 --> 00:22:35.680 massive demand of the industry trying to kind of resolve 349 00:22:35.759 --> 00:22:40.799 the workforce issue that we have and the issue of hospitality, 350 00:22:40.920 --> 00:22:44.480 is that maybe the industry rushes to get something out 351 00:22:44.799 --> 00:22:49.200 and for whatever reason, whether it's a physical problem or 352 00:22:49.359 --> 00:22:53.519 a problem where it's overlooked food safety or you know, 353 00:22:53.680 --> 00:22:56.559 maybe other staff safety, whatever it might be. I'm just 354 00:22:56.599 --> 00:22:59.559 wondering if we will run into something like that before 355 00:23:00.119 --> 00:23:03.079 we get to a level of you know, it's kind 356 00:23:03.079 --> 00:23:04.440 of like the I robot concept that. 357 00:23:04.680 --> 00:23:09.559 Well exactly, and or self driving automobiles or self driving 358 00:23:09.559 --> 00:23:12.160 which I still don't trust they're exactly trusting to be. 359 00:23:12.519 --> 00:23:14.440 There are going to be res There are going to 360 00:23:14.440 --> 00:23:18.039 be as many recks as there are successes in the beginning. 361 00:23:18.640 --> 00:23:20.720 You know. The other thing that comes to mindy me 362 00:23:20.920 --> 00:23:23.799 just to be playful with you in this dialogue, as 363 00:23:23.839 --> 00:23:29.519 you and I often are of I wonder how the 364 00:23:29.559 --> 00:23:36.119 opportunity of this dialogue also looks. Here's a session. A 365 00:23:36.160 --> 00:23:39.559 part of the dialogue we rarely talk about is what 366 00:23:39.680 --> 00:23:45.960 if this onslaught of AI and the adaption adoption of 367 00:23:46.000 --> 00:23:50.720 AI and tech is coming right, which it is, we 368 00:23:50.799 --> 00:23:56.039 both acknowledge that. But with that modality, what if the 369 00:23:56.119 --> 00:24:02.960 whole concept of capitalism became such that by actually investing 370 00:24:03.119 --> 00:24:09.319 in humans, we actually and creating open books, profit sharing 371 00:24:09.440 --> 00:24:15.000 to drive performance into top line sales, right, building check averages, 372 00:24:15.160 --> 00:24:23.000 building frequency, trial by creating these amazing guest experiences of 373 00:24:23.680 --> 00:24:30.920 human AI generated right together, we create frequency that takes 374 00:24:31.119 --> 00:24:38.680 topline sales exponentially and bottom line performance. We start performing 375 00:24:39.000 --> 00:24:42.799 with one hundred sets of ownership eyes instead of one 376 00:24:42.839 --> 00:24:45.119 owner or of the team you know, two founders. 377 00:24:45.200 --> 00:24:47.799 Well that's see. That to me is where AI I 378 00:24:47.799 --> 00:24:49.720 think is going to be utilized because it's it's like 379 00:24:49.799 --> 00:24:53.559 our own business. We utilize it on a very frequent basis, 380 00:24:53.880 --> 00:24:58.119 but it's adds. It is as an augmentation to the 381 00:24:58.240 --> 00:25:03.799 talent of individuals, whether it's designers, creators, editors, writers, they 382 00:25:03.839 --> 00:25:08.440 bring a certain understanding that is at least at this stage. 383 00:25:08.440 --> 00:25:10.599 I mean in a decade, I may not say that, 384 00:25:11.200 --> 00:25:14.519 but right now, at this stage, it requires that nuance 385 00:25:15.160 --> 00:25:17.759 that a human brings that creates it. 386 00:25:17.799 --> 00:25:17.920 Now. 387 00:25:17.960 --> 00:25:19.759 It's not to say that we don't get to a 388 00:25:19.799 --> 00:25:24.279 stage in our life here very shortly where AI has 389 00:25:24.920 --> 00:25:26.880 been able to challenge that. I don't know if you've 390 00:25:26.880 --> 00:25:29.839 done this recently, but I've done this a couple of times. 391 00:25:29.960 --> 00:25:34.000 I've had very specific conversations with perplexity because there's a 392 00:25:34.079 --> 00:25:39.400 voice option with it, and I've had very specific almost 393 00:25:39.440 --> 00:25:45.079 debates with perplexity and it is often around the use 394 00:25:45.119 --> 00:25:49.240 case of AI, the pitfalls of it. But it's interesting 395 00:25:49.279 --> 00:25:52.640 to me is that perpetually doesn't necessarily land on the 396 00:25:52.680 --> 00:25:57.039 side of AI. In fact, what it talks about is 397 00:25:57.119 --> 00:26:01.240 that this is still too early to know. Oh, and 398 00:26:01.319 --> 00:26:06.839 that you know, extreme safety should be taken care especially 399 00:26:06.880 --> 00:26:10.559 and it's not beyond physical safety, it's the mental safety. Yeah, 400 00:26:10.920 --> 00:26:13.960 it's going to affect you know people. Yeah, so my 401 00:26:14.039 --> 00:26:18.200