WEBVTT 1 00:00:00.125 --> 00:00:02.168 CEOs need to get their hands dirty. 2 00:00:02.168 --> 00:00:04.421 They need to, you know, they need to roll up their sleeves 3 00:00:04.421 --> 00:00:07.465 and start playing with these tools, testing things, 4 00:00:07.465 --> 00:00:09.801 building, you know, building their own apps, 5 00:00:09.801 --> 00:00:11.803 building their own skills. 6 00:00:11.803 --> 00:00:14.389 I think when you do that, your mind starts to open up 7 00:00:14.389 --> 00:00:16.766 and you can just see all the possibilities. 8 00:00:16.766 --> 00:00:20.353 You start to then think about AI not as this general topic, 9 00:00:20.353 --> 00:00:22.897 and you start to think about, how do I apply AI? 10 00:00:29.779 --> 00:00:33.742 I think at this point, I think most companies realize 11 00:00:33.742 --> 00:00:35.243 that AI is important. 12 00:00:35.243 --> 00:00:39.039 I think now CEOs actually view themselves 13 00:00:39.039 --> 00:00:41.499 as the chief AI officer, which is incredible. 14 00:00:41.499 --> 00:00:43.585 I think part of that is realizing 15 00:00:43.585 --> 00:00:46.004 that no one else in the organization is better suited 16 00:00:46.004 --> 00:00:47.589 to drive this agenda than them. 17 00:00:48.465 --> 00:00:51.134 I think they also realize that it's their legacy 18 00:00:51.134 --> 00:00:53.595 that's on the line, and I think they're getting stuck 19 00:00:53.595 --> 00:00:56.014 because they not, they haven't really sort of been able 20 00:00:56.014 --> 00:00:59.976 to really focus the organization on where the value is 21 00:00:59.976 --> 00:01:01.061 and get the organization 22 00:01:01.061 --> 00:01:03.271 and the operating model lined up around that. 23 00:01:03.271 --> 00:01:05.440 I'm really excited for BCG in this moment 24 00:01:05.440 --> 00:01:08.860 because I think we bring the combination 25 00:01:08.860 --> 00:01:11.571 that companies really need to drive impact. 26 00:01:11.571 --> 00:01:13.990 I think we bring strategic clarity. 27 00:01:13.990 --> 00:01:16.493 I think we bring the ability to apply AI. 28 00:01:16.493 --> 00:01:18.453 And I think it's really the combination 29 00:01:18.453 --> 00:01:20.455 of those two things is what you need. 30 00:01:20.455 --> 00:01:22.957 What we're trying to build is an architecture 31 00:01:22.957 --> 00:01:26.127 that really helps embed our knowledge, 32 00:01:26.127 --> 00:01:30.048 our IP, our data, combined with these models, 33 00:01:30.048 --> 00:01:31.382 to actually drive value. 34 00:01:31.382 --> 00:01:34.302 We're finding that it helps us bring the best of BCG 35 00:01:34.302 --> 00:01:36.429 and optimizing BCG in ways 36 00:01:36.429 --> 00:01:38.556 that we probably didn't expect to happen. 37 00:01:38.556 --> 00:01:41.017 It's connecting topics to other topics. 38 00:01:41.017 --> 00:01:43.937 It's connecting ideas from one sector to another sector. 39 00:01:43.937 --> 00:01:47.732 So a client is actually seeing it all together. 40 00:01:47.732 --> 00:01:49.359 And it's actually, in many ways, 41 00:01:49.359 --> 00:01:51.402 it's the agents are connecting, 42 00:01:51.402 --> 00:01:53.571 but it's also connecting the human expert. 43 00:01:53.571 --> 00:01:56.074 Everything we build has human in the loop. 44 00:01:56.074 --> 00:01:58.993 But the cool part is, is when, when the, 45 00:01:58.993 --> 00:02:01.704 when the agent's actually bringing humans in the loop 46 00:02:01.704 --> 00:02:03.706 that you wouldn't have thought to bring into the loop, 47 00:02:03.706 --> 00:02:06.376 and in the end, that's optimizing BCG. 48 00:02:06.376 --> 00:02:09.546 It's optimizing the value that we bring to our clients.