WEBVTT 00:00:02.239 --> 00:00:04.780 Welcome to the AI Chat Podcast. I'm your host, 00:00:04.860 --> 00:00:07.179 Jaden Schaefer. Every day I cover cutting -edge 00:00:07.179 --> 00:00:09.320 AI news and talk with the leaders behind it, 00:00:09.339 --> 00:00:11.300 breaking down what it means for your life and 00:00:11.300 --> 00:00:17.640 business. I host two other podcasts. One is called 00:00:17.640 --> 00:00:19.539 AI Hustle. It's about growing and scaling your 00:00:19.539 --> 00:00:22.039 business with AI tools. And one is called AI 00:00:22.039 --> 00:00:25.120 Applied, about using AI in your career. Every 00:00:25.120 --> 00:00:27.000 once in a while, I play an excerpt of one of 00:00:27.000 --> 00:00:29.239 those podcasts on this show to give you an idea 00:00:29.239 --> 00:00:31.339 of what it's like. I'm going to play an excerpt 00:00:31.339 --> 00:00:34.380 from today's episode of AI Applied. We're talking 00:00:34.380 --> 00:00:37.920 about Microsoft's $2 .5 billion AI bet. I hope 00:00:37.920 --> 00:00:39.780 you like it. And if you enjoy this episode, go 00:00:39.780 --> 00:00:42.259 check out the AI Applied podcast anywhere that 00:00:42.259 --> 00:00:45.350 you get your podcasts. It's AI Applied. Microsoft 00:00:45.350 --> 00:00:49.530 has just committed $2 .5 billion and 6 ,000 employees 00:00:49.530 --> 00:00:52.810 to a new AI implementation unit. Now, this is 00:00:52.810 --> 00:00:54.450 not new. They're not the only ones that have 00:00:54.450 --> 00:00:56.450 done this. They're following what OpenAI and 00:00:56.450 --> 00:00:59.149 Anthropic both have made partnerships with different 00:00:59.149 --> 00:01:01.710 organizations, Accenture and Deloitte, if I'm 00:01:01.710 --> 00:01:03.090 remembering correctly. And I mean, there's a 00:01:03.090 --> 00:01:04.530 bunch of players that have been doing this, a 00:01:04.530 --> 00:01:06.909 bunch of private equity firms that have been 00:01:06.909 --> 00:01:08.670 kind of getting in on this and kind of investing 00:01:08.670 --> 00:01:11.769 money into these sort of AI implementation units. 00:01:12.680 --> 00:01:15.700 Connor has a spicy take on this that I was reading 00:01:15.700 --> 00:01:17.599 on LinkedIn. And I was like, Connor, we got to 00:01:17.599 --> 00:01:19.299 talk about what you've been saying because this 00:01:19.299 --> 00:01:21.280 post has been blowing up. And I think it's making 00:01:21.280 --> 00:01:23.420 some people mad, but I see a lot of truth to 00:01:23.420 --> 00:01:26.719 this. So, and basically his take is that maybe 00:01:26.719 --> 00:01:28.939 what Microsoft is doing is not the right way 00:01:28.939 --> 00:01:31.379 to do this, which is, you know, shocker, especially 00:01:31.379 --> 00:01:34.239 when this is $2 .5 billion that are about to 00:01:34.239 --> 00:01:36.219 be spent on this. So Connor, I'd love for you 00:01:36.219 --> 00:01:38.519 to maybe explain a little bit about what these 00:01:38.519 --> 00:01:41.579 implementation units are. hoping to achieve what 00:01:41.579 --> 00:01:43.319 you think they will achieve what you think people 00:01:43.319 --> 00:01:45.900 should do and if this is all a giant two billion 00:01:45.900 --> 00:01:49.260 dollar mistake total billion dollar mistake everybody 00:01:49.260 --> 00:01:51.640 yeah i love the hot take here man this is so 00:01:51.640 --> 00:01:53.560 by the way i did have people from microsoft like 00:01:53.560 --> 00:01:55.540 you know writing to me and being like it's not 00:01:55.540 --> 00:01:57.379 really 2 .5 it's sort of like that's kind of 00:01:57.379 --> 00:02:00.599 like reallocated but The message is the same. 00:02:00.620 --> 00:02:02.299 And even people inside Microsoft are like, yeah, 00:02:02.519 --> 00:02:04.540 you know, the headline, don't really love the 00:02:04.540 --> 00:02:06.500 headline. But essentially, like, you know, the 00:02:06.500 --> 00:02:09.400 headline is essentially, let me grab it. It's 00:02:09.400 --> 00:02:12.099 from the information originally. If you don't 00:02:12.099 --> 00:02:14.360 know the information, but it's expensive to subscribe 00:02:14.360 --> 00:02:17.080 to, but it's worth it. Microsoft commits $2 .5 00:02:17.080 --> 00:02:19.560 billion to new applied AI consulting effort and 00:02:19.560 --> 00:02:21.520 then says the new unit comes as large companies. 00:02:21.719 --> 00:02:23.909 And this is important. The new unit comes as 00:02:23.909 --> 00:02:25.909 large companies have groused that it can be tricky 00:02:25.909 --> 00:02:28.250 to configure AI software to their own needs and 00:02:28.250 --> 00:02:30.789 generate meaningful returns. Jayden, I'll tell 00:02:30.789 --> 00:02:35.349 you why I am up in arms about this. So it reminds 00:02:35.349 --> 00:02:37.409 me, so we were working with the big, so AI Mindset 00:02:37.409 --> 00:02:38.830 like works with big companies to sort of like 00:02:38.830 --> 00:02:41.349 transform from a behavioral standpoint, right? 00:02:41.430 --> 00:02:43.689 Organizations to really transform AI adoption. 00:02:43.789 --> 00:02:47.569 And I remember working with this huge like oil 00:02:47.569 --> 00:02:51.179 and gas or energy, energy company, sorry. And 00:02:51.179 --> 00:02:53.080 we were kind of talking about all this and doing 00:02:53.080 --> 00:02:54.699 this big senior leadership workshop, which we 00:02:54.699 --> 00:02:55.960 do. They're like, you know, three and a half 00:02:55.960 --> 00:02:57.699 hours long or something like that. And at the 00:02:57.699 --> 00:03:01.259 end, these folks were talking about when they 00:03:01.259 --> 00:03:04.240 did like their SAP enterprise transformation 00:03:04.240 --> 00:03:06.080 thing. And they're like, yeah. And remember how 00:03:06.080 --> 00:03:08.419 we had to keep on tweaking it because people 00:03:08.419 --> 00:03:10.300 just weren't really satisfied with it and all 00:03:10.300 --> 00:03:11.699 that kind of stuff. And I kind of paused the 00:03:11.699 --> 00:03:13.639 conversation. I didn't really want to get involved 00:03:13.639 --> 00:03:15.500 because it was a conversation kind of among them. 00:03:15.759 --> 00:03:17.919 But I was like, can I just point something out? 00:03:18.479 --> 00:03:19.939 Has this happened before? And they're like, yeah, 00:03:19.939 --> 00:03:21.960 it happens all the time. I'm like, this is what 00:03:21.960 --> 00:03:24.159 we think about all the time. Every time you sort 00:03:24.159 --> 00:03:27.180 of like have a new system, Jaden, a digital transformation 00:03:27.180 --> 00:03:29.120 takes place. Hey, we're now going to use Salesforce. 00:03:29.259 --> 00:03:32.139 What happens? I promise you, everybody complains 00:03:32.139 --> 00:03:35.060 because people like the old system. So what do 00:03:35.060 --> 00:03:38.740 they do? They blame the system instead of how 00:03:38.740 --> 00:03:41.340 they work. And so when Microsoft sees this, and 00:03:41.340 --> 00:03:43.120 I'm telling you, this is what happens. It's not 00:03:43.120 --> 00:03:46.580 just Microsoft. I mean, it's every big LAI lab. 00:03:47.150 --> 00:03:50.789 It's Google. It's Anthropic. It's OpenAI. It's 00:03:50.789 --> 00:03:52.969 all of these labs. And I'm telling you, this 00:03:52.969 --> 00:03:55.330 is what happened. They put out a pilot of like, 00:03:55.349 --> 00:03:57.669 you know, 5 ,000 to a 50 ,000 person company. 00:03:57.789 --> 00:03:59.909 And what they say is everybody's going to use 00:03:59.909 --> 00:04:02.050 this and then it's going to catch like wildfire. 00:04:02.090 --> 00:04:03.830 And then we're going to sell our licenses to 00:04:03.830 --> 00:04:06.250 the other 50 ,000. What happens? A fraction of 00:04:06.250 --> 00:04:08.949 those people use it. It's just truth. Right. 00:04:09.169 --> 00:04:12.699 And the whole point is that. They are now getting 00:04:12.699 --> 00:04:14.620 feedback because they're like, well, what's happening? 00:04:14.680 --> 00:04:15.979 Why aren't people using? They're like, oh, I 00:04:15.979 --> 00:04:17.660 don't know. I just don't like the features or 00:04:17.660 --> 00:04:19.160 something. And they complain about the thing, 00:04:19.199 --> 00:04:21.120 which Jaden, I'm going to sound like a broken 00:04:21.120 --> 00:04:23.459 record here. But like, it's like complaining 00:04:23.459 --> 00:04:25.779 about the treadmill. It's like, you know what? 00:04:25.779 --> 00:04:28.399 I don't know. It's just sort of like it's downstairs 00:04:28.399 --> 00:04:30.579 or like I have to do laundry or like the features. 00:04:30.680 --> 00:04:32.699 I don't know. The problem is not the treadmill. 00:04:32.740 --> 00:04:35.379 The problem is you. Right. And why? Because we're 00:04:35.379 --> 00:04:37.399 just we don't like change. We don't like new 00:04:37.399 --> 00:04:38.920 systems, all that kind of stuff. And everybody 00:04:38.920 --> 00:04:40.399 who's sitting there listening to the sound of 00:04:40.399 --> 00:04:43.089 my voice and being like. That's not true. AI 00:04:43.089 --> 00:04:44.910 is great. It's just people have to be more curious 00:04:44.910 --> 00:04:46.670 and they have to just find their use cases. And 00:04:46.670 --> 00:04:48.990 I'm like, you've tried that, right? Has anybody 00:04:48.990 --> 00:04:51.170 responded to that? In the same way, has anybody 00:04:51.170 --> 00:04:53.149 responded when you've shouted eat less and exercise 00:04:53.149 --> 00:04:55.990 to them? It doesn't work that way. So when Microsoft 00:04:55.990 --> 00:04:58.819 is putting all of this effort. And I understand 00:04:58.819 --> 00:05:01.000 that there's nuances to this. It's not exactly 00:05:01.000 --> 00:05:03.579 like they took a pot of $2 .5 billion and 6 ,000 00:05:03.579 --> 00:05:05.279 people aren't putting into this. But what they're 00:05:05.279 --> 00:05:08.420 doing here, and I love Microsoft. I really do. 00:05:08.480 --> 00:05:09.540 I'm actually, you know, one of these people that 00:05:09.540 --> 00:05:13.189 I'm like a huge Microsoft fan. But I keep telling 00:05:13.189 --> 00:05:14.870 them like, you're the adult in the room here. 00:05:14.949 --> 00:05:19.029 Like you own enterprise. Why focus on it like 00:05:19.029 --> 00:05:20.850 this where you're like, yeah, let's come in and 00:05:20.850 --> 00:05:23.089 help you like tweak the systems and work on the 00:05:23.089 --> 00:05:25.110 features. That's not the problem. The problem 00:05:25.110 --> 00:05:27.550 is that what they actually need the McKinsey's 00:05:27.550 --> 00:05:30.350 for and the BCGs and everybody else's is how 00:05:30.350 --> 00:05:32.449 to get people to sort of like transform how they 00:05:32.449 --> 00:05:34.410 work. But even that doesn't work. Jayden, I promise 00:05:34.410 --> 00:05:36.310 I'm going to shut up after this. But even that 00:05:36.310 --> 00:05:38.129 doesn't work because the consulting model doesn't 00:05:38.129 --> 00:05:41.439 work. Why is that? Because. When the big consulting 00:05:41.439 --> 00:05:43.839 firms, the Microsoft, I'm sorry, the McKinsey's, 00:05:43.839 --> 00:05:46.680 the BCG's, the Bain's, the Deloitte's, EY's, 00:05:46.779 --> 00:05:49.439 et cetera. When they go in, what they are great 00:05:49.439 --> 00:05:52.279 at is they are great at looking at a system of 00:05:52.279 --> 00:05:53.759 like, hey, you guys do sales this way. Well, 00:05:53.819 --> 00:05:55.500 we know that from doing sales in a million other 00:05:55.500 --> 00:05:57.000 companies, the best way is to do this way. So 00:05:57.000 --> 00:05:58.980 do it like that. Or you do operations this way. 00:05:59.019 --> 00:06:00.240 The best way is to actually do it like this. 00:06:00.259 --> 00:06:03.029 So change what you do. That's fine. That's great. 00:06:03.089 --> 00:06:04.930 That's called consulting. But coaching is very 00:06:04.930 --> 00:06:06.589 different. You can't just say to people, hey, 00:06:06.670 --> 00:06:08.670 be nicer to each other. Or hey, think differently. 00:06:08.769 --> 00:06:11.149 Or hey, be more collaborative. That doesn't come 00:06:11.149 --> 00:06:12.810 from best practices from other organizations. 00:06:13.029 --> 00:06:14.689 You have to get people to change their habits 00:06:14.689 --> 00:06:17.149 and behaviors and everything else. Which is why, 00:06:17.430 --> 00:06:19.529 sorry, now I've brought it all the way back, 00:06:19.569 --> 00:06:21.649 Jaden. Microsoft is trying to solve the easy 00:06:21.649 --> 00:06:23.870 problem. And corporations are trying to solve 00:06:23.870 --> 00:06:25.470 the easy problem of like, oh, well, let's just 00:06:25.470 --> 00:06:27.569 tweak the system. When the problem is not the 00:06:27.569 --> 00:06:29.750 treadmill. The problem is. You just don't want 00:06:29.750 --> 00:06:31.930 to get on that treadmill. That's where I wish 00:06:31.930 --> 00:06:34.490 Microsoft would put $2 .5 billion on helping 00:06:34.490 --> 00:06:37.870 people to rethink how they work and rethink processes. 00:06:38.029 --> 00:06:40.259 I just think it's a big miss. A hundred percent. 00:06:40.339 --> 00:06:41.819 I mean, if you're going into an organization 00:06:41.819 --> 00:06:44.360 and you're like, hey, everyone, you've got to 00:06:44.360 --> 00:06:46.160 try the new Microsoft Copilot. We're signing 00:06:46.160 --> 00:06:48.139 it up on everyone's computers. These are all 00:06:48.139 --> 00:06:49.560 the 10 things we recommend doing. We're going 00:06:49.560 --> 00:06:51.120 to go on all hands every morning and share our 00:06:51.120 --> 00:06:53.720 favorite Microsoft Copilot like tip. I mean, 00:06:53.720 --> 00:06:55.579 that's not how they're implementing this in reality, 00:06:55.720 --> 00:06:57.519 but like, let's think about it, right? Or we 00:06:57.519 --> 00:06:58.860 get the engineers in there and we're looking 00:06:58.860 --> 00:07:00.300 at the workflows and we're trying to like get 00:07:00.300 --> 00:07:02.639 the Microsoft work, you know, work copilot or 00:07:02.639 --> 00:07:04.980 tools like embedded into the workflows and everything. 00:07:05.709 --> 00:07:08.589 That's not how you drive the big change. The 00:07:08.589 --> 00:07:12.149 big change comes from individual people getting 00:07:12.149 --> 00:07:16.329 a spark and realizing, oh my gosh, look how capable 00:07:16.329 --> 00:07:18.970 this is. Look how much time I can buy back for 00:07:18.970 --> 00:07:20.930 myself personally to work on the parts of my 00:07:20.930 --> 00:07:23.730 job that I like doing, automate the repetitive 00:07:23.730 --> 00:07:26.589 mundane parts. As soon as someone gets that spark, 00:07:26.689 --> 00:07:29.329 you don't need to spend $2 .5 billion to convince 00:07:29.329 --> 00:07:31.490 them to use it. They're obsessed with it. I mean, 00:07:31.509 --> 00:07:33.069 most of you guys listening to this podcast are 00:07:33.069 --> 00:07:36.120 in that. ballpark, right? Like you see, you see 00:07:36.120 --> 00:07:37.600 something incredible that it can do. And you 00:07:37.600 --> 00:07:39.680 want to go all in and figure out all of the ways. 00:07:39.720 --> 00:07:42.439 And even myself who covers AI all day, every 00:07:42.439 --> 00:07:45.420 single day, there's so many ways that I discover 00:07:45.420 --> 00:07:47.220 every day. I'm like, Oh my gosh, I never even 00:07:47.220 --> 00:07:48.860 thought of that. That's so cool. I want to try 00:07:48.860 --> 00:07:51.920 it out. Right? Like This is what drives the adoption 00:07:51.920 --> 00:07:53.860 is people being genuinely excited because they 00:07:53.860 --> 00:07:56.079 catch that spark and you have to ignite that 00:07:56.079 --> 00:07:57.540 spark for people. And you're not going to do 00:07:57.540 --> 00:07:59.439 it by just going and telling everyone to go download 00:07:59.439 --> 00:08:01.300 Copilot onto your computer and make sure to go 00:08:01.300 --> 00:08:03.800 ask it, you know, what time the Yankees are playing 00:08:03.800 --> 00:08:05.839 at XYZ, some simple little thing, right? Like 00:08:05.839 --> 00:08:08.160 you really got to get them to actually get a 00:08:08.160 --> 00:08:11.379 spark with it. So that's one thing. And the other 00:08:11.379 --> 00:08:14.209 thing that I think for me is just. I mean, it's 00:08:14.209 --> 00:08:16.509 just so much money that could be spent in so 00:08:16.509 --> 00:08:18.009 many other places. I know you said Microsoft 00:08:18.009 --> 00:08:20.110 was like, oh, it's not really $2 .5 billion. 00:08:20.209 --> 00:08:22.129 I mean, it's just kind of the way the presser 00:08:22.129 --> 00:08:24.269 goes out or whatever. But I just think that there's 00:08:24.269 --> 00:08:26.490 a lot of ways. In your opinion, Connor, from 00:08:26.490 --> 00:08:27.750 a lot of the consulting that you've done with 00:08:27.750 --> 00:08:30.910 organizations, what's the best way for people 00:08:30.910 --> 00:08:33.629 to help others in the organization catch that 00:08:33.629 --> 00:08:36.730 spark? Yeah, I love that you call it the spark. 00:08:37.110 --> 00:08:39.490 So the thing that we figured out, I think, in 00:08:39.490 --> 00:08:41.230 this whole thing is the reason why we don't teach 00:08:41.230 --> 00:08:44.570 use cases. and we teach process instead, is that 00:08:44.570 --> 00:08:46.149 use case is just encouragement. Come on, guys, 00:08:46.190 --> 00:08:47.830 find your use cases. Again, it's sort of like, 00:08:47.889 --> 00:08:49.250 come on, guys, don't you want to feel better? 00:08:49.330 --> 00:08:51.110 Like, get out there and run. Like, that doesn't 00:08:51.110 --> 00:08:53.350 work. You have to put processes in place. So 00:08:53.350 --> 00:08:55.750 for some people, you know, we do it through this 00:08:55.750 --> 00:08:57.669 whole behavioral thing, which actually drives 00:08:57.669 --> 00:08:59.210 a lot of spark because people are like, oh, I 00:08:59.210 --> 00:09:01.009 didn't think of it like that. It's actually like 00:09:01.009 --> 00:09:02.789 this and not like that. So that gets a lot of 00:09:02.789 --> 00:09:04.639 people kind of like with that spark. But we can't 00:09:04.639 --> 00:09:06.799 get everybody. We just can't. So then the people 00:09:06.799 --> 00:09:08.379 that we don't get, we have to put a process in 00:09:08.379 --> 00:09:11.799 place, right? So let me attack those two sides, 00:09:11.919 --> 00:09:13.940 right? So first of all, Gene, I totally agree 00:09:13.940 --> 00:09:15.919 on the spark. The only thing that drives AI adoption, 00:09:16.080 --> 00:09:17.940 first of all, it has to be driven at the individual 00:09:17.940 --> 00:09:19.899 level. Unless you're talking about AI in a product, 00:09:20.000 --> 00:09:23.259 right? Like Gene's AI box, right? Your product 00:09:23.259 --> 00:09:24.840 keeps getting better and better and better because 00:09:24.840 --> 00:09:28.440 of AI, right? I mean, and that's awesome. But 00:09:28.440 --> 00:09:30.720 for individuals at a company, when you're trying 00:09:30.720 --> 00:09:33.090 to drive value, It has to happen at the individual 00:09:33.090 --> 00:09:35.090 level because you're paying people to drive value 00:09:35.090 --> 00:09:37.049 for your company. You don't have like some people 00:09:37.049 --> 00:09:39.450 and some robots. It's all people. So what do 00:09:39.450 --> 00:09:40.850 you do in that case? You want to have everybody 00:09:40.850 --> 00:09:42.470 have their spark. And the problem with the spark 00:09:42.470 --> 00:09:44.269 is that it often happens outside the scope of 00:09:44.269 --> 00:09:46.289 work. Anybody listening probably has had that 00:09:46.289 --> 00:09:48.090 spark, as you said, right? I want to know like 00:09:48.090 --> 00:09:50.940 how many of you. have found that spark in a personal 00:09:50.940 --> 00:09:52.720 thing versus a work thing because i find it's 00:09:52.720 --> 00:09:54.840 often in personal right you're like oh my gosh 00:09:54.840 --> 00:09:56.700 i spilled you know coffee on this and i don't 00:09:56.700 --> 00:09:58.379 and all of a sudden chat gbt gets you have a 00:09:58.379 --> 00:10:00.360 bind you're like oh my gosh like it doesn't usually 00:10:00.360 --> 00:10:01.860 come because somebody discovered how to write 00:10:01.860 --> 00:10:04.419 an email faster that who's that who's that like 00:10:04.419 --> 00:10:06.960 being like the genie has come out of the bottle 00:10:06.960 --> 00:10:08.960 right no it's like yeah it's not exciting it 00:10:08.960 --> 00:10:10.460 doesn't get you sort of like wanting to stay 00:10:10.460 --> 00:10:13.059 up all night like just working with ai it doesn't 00:10:13.059 --> 00:10:15.519 get those things so then how do you drive that 00:10:15.519 --> 00:10:18.899 if you if if people just aren't finding that 00:10:18.899 --> 00:10:21.919 spark, right? So again, in our training, we get 00:10:21.919 --> 00:10:23.360 a lot of people, but we don't get everybody. 00:10:23.620 --> 00:10:25.759 So the people we don't get, we have to have the 00:10:25.759 --> 00:10:28.600 people leaders in those organizations put processes 00:10:28.600 --> 00:10:30.740 in place, like meetings, things like that, where 00:10:30.740 --> 00:10:33.299 AI is integrated, and we have specific ways of 00:10:33.299 --> 00:10:35.679 doing this, but where AI, you can't get to the 00:10:35.679 --> 00:10:38.379 end of the day without going through AI in some 00:10:38.379 --> 00:10:41.240 way, because then it's sort of like forcing people. 00:10:41.299 --> 00:10:42.840 It's almost like, hey, listen, guys, to start 00:10:42.840 --> 00:10:44.600 the day at this company, we're all going to go 00:10:44.600 --> 00:10:47.539 out on a two -mile walk. whatever at some point 00:10:47.539 --> 00:10:48.679 you're gonna get more and more people who are 00:10:48.679 --> 00:10:50.139 like you know what i actually like i'm really 00:10:50.139 --> 00:10:52.039 glad i'm doing this you know what i mean like 00:10:52.039 --> 00:10:54.559 you force it in that kind of way a forcing mechanism 00:10:54.559 --> 00:10:57.240 because then they will find their spark through 00:10:57.240 --> 00:10:59.419 that but that's why we don't do use cases because 00:10:59.419 --> 00:11:01.240 use cases are just like come on everybody just 00:11:01.240 --> 00:11:02.879 find your thing and you're kind of encouraging 00:11:02.879 --> 00:11:05.580 x so we say moving from encouragement to expectation 00:11:05.580 --> 00:11:08.720 of use expectation of use is Listen, all our 00:11:08.720 --> 00:11:10.159 meetings are on the third floor and the elevator 00:11:10.159 --> 00:11:11.980 doesn't work anymore. That's how you get people 00:11:11.980 --> 00:11:13.639 healthier. Do you know what I mean? You're just 00:11:13.639 --> 00:11:15.659 saying people have to go through a process. So 00:11:15.659 --> 00:11:18.879 that's how we've had success on that. And I just 00:11:18.879 --> 00:11:22.480 wish, again, Microsoft, to my friends at Microsoft, 00:11:22.659 --> 00:11:26.100 you are the adult in the room here. You are able 00:11:26.100 --> 00:11:28.820 to do this. You own enterprise. I mean, obviously, 00:11:28.879 --> 00:11:32.600 so does IBM. So does Google. So does SAP. So 00:11:32.600 --> 00:11:35.059 does Salesforce. A lot of these places do. So 00:11:35.059 --> 00:11:37.330 I'm kind of speaking to them as well. But if 00:11:37.330 --> 00:11:39.570 you focus on how you get people to change their 00:11:39.570 --> 00:11:42.870 processes rather than the tool itself, then they're 00:11:42.870 --> 00:11:45.090 going to buy your product at scale, like because 00:11:45.090 --> 00:11:46.809 they'll have that spark. That's what gets me 00:11:46.809 --> 00:11:50.210 probably, as you can see, overly excited. But 00:11:50.210 --> 00:11:52.149 that's how we think about it. Yeah. And I mean, 00:11:52.149 --> 00:11:54.409 the last thing that I'll say is there also is 00:11:54.409 --> 00:11:57.070 an issue in a lot of organizations. um where 00:11:57.070 --> 00:11:59.929 i feel like the companies themselves are not 00:11:59.929 --> 00:12:01.610 doing enough and like you mentioned that forcing 00:12:01.610 --> 00:12:03.389 function is so important because i feel like 00:12:03.389 --> 00:12:04.889 the companies themselves are not doing enough 00:12:04.889 --> 00:12:07.289 to encourage or push people maybe they had early 00:12:07.289 --> 00:12:09.970 like bans on ai maybe they just never encouraged 00:12:09.970 --> 00:12:11.970 it maybe they never rewarded it and i mean there's 00:12:11.970 --> 00:12:14.230 all sorts of absolutely ridiculous reward systems 00:12:14.230 --> 00:12:16.110 like who's using the most tokens okay terrible 00:12:16.110 --> 00:12:18.690 ideas but but like genuinely getting people to 00:12:18.690 --> 00:12:20.590 leverage these tools because the things i'm seeing 00:12:20.590 --> 00:12:23.110 a couple different things number one a lot of 00:12:23.110 --> 00:12:25.210 the software companies I use and the scrappier, 00:12:25.230 --> 00:12:28.610 savvier startups, they are churning out new features 00:12:28.610 --> 00:12:31.590 every two weeks because they just can. And it's 00:12:31.590 --> 00:12:32.889 like, it's actually blowing my mind. There's 00:12:32.889 --> 00:12:34.070 a bunch of companies I've followed for a long 00:12:34.070 --> 00:12:36.090 time and the rate that they're able to just put 00:12:36.090 --> 00:12:37.570 out these incredible features or rebuild their 00:12:37.570 --> 00:12:40.149 entire platform is so impressive to me. And I 00:12:40.149 --> 00:12:41.769 understand why, because I'm doing the same thing 00:12:41.769 --> 00:12:43.590 with all my software and platforms and tools, 00:12:43.690 --> 00:12:46.090 but I'm not seeing it from all companies. And 00:12:46.090 --> 00:12:47.889 the companies that I'm not seeing it from, for 00:12:47.889 --> 00:12:49.210 example, I mean, there's just so many people 00:12:49.210 --> 00:12:51.700 where... you realize that we are sort of in a 00:12:51.700 --> 00:12:53.159 bubble. There's some people that are really taking 00:12:53.159 --> 00:12:55.139 advantage and there's some that are just not. 00:12:55.299 --> 00:12:58.080 I was recently talking to someone and he's a 00:12:58.080 --> 00:13:01.500 developer at like a big gaming studio. And he's 00:13:01.500 --> 00:13:04.259 said, I'm like, I'm like, oh my gosh, like he's 00:13:04.259 --> 00:13:05.820 a front end developer. I'm like, you must just 00:13:05.820 --> 00:13:07.340 like, Clyde must be your best friend, right? 00:13:07.399 --> 00:13:09.330 It's like so awesome. Cause I'm doing this all 00:13:09.330 --> 00:13:10.909 day. Right. And he's like, ah, to be honest, 00:13:10.970 --> 00:13:12.929 like, I don't know if I've tried the Claude one 00:13:12.929 --> 00:13:15.610 yet. Like, I think I tried, we had like a GitHub 00:13:15.610 --> 00:13:17.389 one, but then it's, we don't have it anymore. 00:13:17.529 --> 00:13:19.509 And like, I've started using it a little bit 00:13:19.509 --> 00:13:21.769 lately, but anyways, it just blew my mind how 00:13:21.769 --> 00:13:24.490 much he didn't use it. And I'm like, if it's 00:13:24.490 --> 00:13:26.690 not a priority in your company, it's not a priority 00:13:26.690 --> 00:13:28.269 for your employees. And if it's not a priority 00:13:28.269 --> 00:13:30.169 for your employees, you're not shipping new updates 00:13:30.169 --> 00:13:32.629 every two weeks because you can, you're not 10 00:13:32.629 --> 00:13:35.830 X in your output because you like, you can with 00:13:35.830 --> 00:13:39.250 AI. And so. Yes, there's like business as usual. 00:13:39.289 --> 00:13:41.250 And some companies are like in these industries 00:13:41.250 --> 00:13:42.909 where you're kind of entrenched. You kind of 00:13:42.909 --> 00:13:44.929 have a good thing going and business as usual 00:13:44.929 --> 00:13:47.070 works pretty good. But I mean, if you really 00:13:47.070 --> 00:13:49.049 want to stay competitive, you have to make this 00:13:49.049 --> 00:13:50.610 a priority. I know I'm speaking to the choir 00:13:50.610 --> 00:13:52.509 here, but it blows my mind because it probably 00:13:52.509 --> 00:13:54.070 happens at least once a week where I talk to 00:13:54.070 --> 00:13:58.409 someone and they're like not using AI. This is 00:13:58.409 --> 00:14:00.649 the bubble we live in. It's the bubble we live 00:14:00.649 --> 00:14:02.889 in. Just to close that out, like just remember, 00:14:02.909 --> 00:14:05.200 guys, like. Two things. First of all, we live 00:14:05.200 --> 00:14:07.039 in a bubble. Anybody listening to this show lives 00:14:07.039 --> 00:14:09.059 in the bubble. A lot of people are not using 00:14:09.059 --> 00:14:12.059 AI. I'm not getting emotional. I'm just going 00:14:12.059 --> 00:14:13.659 to take a sip of water. Connor is incredibly 00:14:13.659 --> 00:14:15.940 emotional about this point, and people just aren't 00:14:15.940 --> 00:14:18.879 using AI enough. I was watching England -Mexico 00:14:18.879 --> 00:14:20.919 the other night, and Harry Kane lost his voice. 00:14:21.000 --> 00:14:22.879 I'm like, how embarrassing is that? And he had 00:14:22.879 --> 00:14:24.059 a much bigger audience, so I think I'm okay. 00:14:25.120 --> 00:14:27.139 Jayden, the thing is like this has to start with 00:14:27.139 --> 00:14:29.059 leadership. It has to sort of like start with 00:14:29.059 --> 00:14:30.759 leadership and work its way down just as you're 00:14:30.759 --> 00:14:32.980 saying. There's literally no way for a company 00:14:32.980 --> 00:14:34.639 to sort of like hold people accountable unless 00:14:34.639 --> 00:14:37.059 leadership is holding people accountable. That's 00:14:37.059 --> 00:14:39.480 where that has to start. But again, we have to 00:14:39.480 --> 00:14:41.840 understand that like just telling people to use 00:14:41.840 --> 00:14:44.419 it is just never going to work. Guys, before 00:14:44.419 --> 00:14:46.279 I lose my voice again, like again, if anybody 00:14:46.279 --> 00:14:49.019 saw Mexico, England, they know the Harry Kane 00:14:49.019 --> 00:14:50.679 interview was glorious. He lost his voice. He 00:14:50.679 --> 00:14:52.480 sounded like Kermit the Frog. Luckily, I think 00:14:52.480 --> 00:14:55.419 I've rescued myself. But here is the thing, guys. 00:14:55.460 --> 00:14:57.539 If you are sort of like trying to push yourself 00:14:57.539 --> 00:14:59.019 and trying to sort of like see how you can use 00:14:59.019 --> 00:15:01.620 this better, I cannot recommend more highly Jaden's 00:15:01.620 --> 00:15:05.159 AI Box .ai. This is my absolute favorite thing 00:15:05.159 --> 00:15:07.139 to use because when I'm bouncing between Claw, 00:15:07.159 --> 00:15:09.299 Gemini, OpenAI, those are my kind of like big 00:15:09.299 --> 00:15:12.759 three. This allows you to do that for less than 00:15:12.759 --> 00:15:14.980 $10 a month. It's absolutely unbelievable. Use 00:15:14.980 --> 00:15:16.799 all these models, help, you know, compare things. 00:15:17.039 --> 00:15:18.600 This is what I'm doing and spending hundreds 00:15:18.600 --> 00:15:21.279 of dollars a month. Check this out if you haven't 00:15:21.279 --> 00:15:23.460 already. It is unbelievably worth it. You won't 00:15:23.460 --> 00:15:26.279 regret it. And don't forget to leave a rating 00:15:26.279 --> 00:15:28.919 and review. We are so grateful for these conversations 00:15:28.919 --> 00:15:30.980 with you all, and we will see you in the next 00:15:30.980 --> 00:15:31.240 episode.