WEBVTT 00:00:00.500 --> 00:00:01.710 Dirk, Rich, welcome. 00:00:01.710 --> 00:00:02.794 Dirk, to you first. 00:00:03.294 --> 00:00:07.757 There's so much talk about AI, but how are you seeing it transform 00:00:07.757 --> 00:00:09.426 Mondelēz the most? 00:00:09.426 --> 00:00:12.220 Where do you expect most of the resources to kind of go? 00:00:12.971 --> 00:00:13.304 Yes. 00:00:13.304 --> 00:00:17.726 So AI is super interesting, and it's really booming. 00:00:17.726 --> 00:00:23.398 I think the big risk for a company like ours is that we start to experiment in 00:00:23.398 --> 00:00:26.026 different areas, and it's not easy, not cheap to implement. 00:00:26.026 --> 00:00:31.614 And then the return on investment becomes really difficult. 00:00:31.906 --> 00:00:37.579 And so I think you can really go all in in AI if it's transformational for the 00:00:37.579 --> 00:00:40.915 company. And that's where all our focus should go. 00:00:40.915 --> 00:00:42.709 So what is transformational for us? 00:00:43.501 --> 00:00:48.298 The way we relate to consumers—and if we could transform that in the way we 00:00:48.298 --> 00:00:50.759 produce communication, the way we connect to them, 00:00:50.759 --> 00:00:54.220 the way we understand them—that is transformational for us. 00:00:54.554 --> 00:00:58.975 The way we run our supply chain and how AI could optimize our plans, 00:00:58.975 --> 00:00:59.851 our logistics— 00:00:59.851 --> 00:01:05.106 and so sort of an all encompassing approach to the supply chain—that would 00:01:05.106 --> 00:01:07.692 be a second big area for us. 00:01:07.692 --> 00:01:10.945 And then the third one would be internally, 00:01:10.945 --> 00:01:13.573 as we work with the people in the business, 00:01:13.573 --> 00:01:17.577 how can we make everything self-serve and AI driven 00:01:17.577 --> 00:01:21.247 Those would be the three big areas for me where AI could really have an impact on 00:01:21.247 --> 00:01:21.831 the business. 00:01:22.457 --> 00:01:25.502 Building on transformation more broadly, Rich, I suppose, 00:01:25.502 --> 00:01:27.420 what are the imperatives for leaders? 00:01:27.420 --> 00:01:28.630 Where are the opportunities? 00:01:28.630 --> 00:01:30.965 What advice would you have for anyone going through that process? 00:01:31.674 --> 00:01:35.220 It's interesting because we did a lot of research on this recently 00:01:35.470 --> 00:01:36.805 that's pretty timeless. 00:01:37.055 --> 00:01:40.058 And then there's some things of the moment that Dirk just started and I'll 00:01:40.058 --> 00:01:40.517 pick up on. 00:01:40.767 --> 00:01:43.394 The timeless part is great transformations. 00:01:43.394 --> 00:01:48.066 And by that I mean things that at the end let a company grow faster relative to the 00:01:48.066 --> 00:01:52.654 market than it did before and create more shareholder value relative to the market 00:01:52.654 --> 00:01:53.696 than it did before. 00:01:53.947 --> 00:01:55.198 Those are hard to come by. 00:01:55.240 --> 00:01:58.701 And when they come by them, it's because people have balanced discipline 00:01:58.701 --> 00:02:02.455 on the one hand—it is a discipline process to go through—with creativity, 00:02:02.455 --> 00:02:05.458 with a mindset to how will we unlock innovation and growth. 00:02:05.792 --> 00:02:11.005 And they balance winning in the medium term with delivering value in the shorter term. 00:02:11.297 --> 00:02:12.298 You've got to do both. 00:02:12.340 --> 00:02:13.550 It's not an either-or. 00:02:13.842 --> 00:02:17.679 So when you say how do you break those two paradoxes, 00:02:17.679 --> 00:02:23.143 one thing is often having one leader who can look across everything matters. 00:02:23.351 --> 00:02:26.479 We find when a chief transformation officer is involved, 00:02:26.479 --> 00:02:29.482 it really ups the odds of success quite dramatically. 00:02:29.732 --> 00:02:34.612 Second is around narrative—being clear, what are we trying to achieve both near 00:02:34.612 --> 00:02:38.491 term and medium term, both internally and externally in a very 00:02:38.491 --> 00:02:39.242 aligned way. 00:02:39.617 --> 00:02:42.245 A third thing is not shortchanging innovation. 00:02:42.537 --> 00:02:46.916 Actually in many cases, upping R&D spend at least relative to peers in the 00:02:46.916 --> 00:02:49.752 market is a differentiator in terms of performance. 00:02:50.128 --> 00:02:54.174 And those things I listed all go back in time pretty well. 00:02:54.465 --> 00:02:57.510 But just to pick up on what you said, it was so important. 00:02:57.969 --> 00:03:02.849 Making AI work as part of transformation now is a big deal. 00:03:03.099 --> 00:03:06.728 And it's a big deal not just to make it work in pilots and small settings where 00:03:06.728 --> 00:03:08.688 you control the data, you control the team, 00:03:08.688 --> 00:03:09.939 you control the environment. 00:03:10.148 --> 00:03:12.817 It's how to make AI at scale have impact. 00:03:13.151 --> 00:03:15.528 And making AI at scale have impact means one, 00:03:15.528 --> 00:03:20.575 you can't do too many efforts at once because they take a lot of work to really 00:03:20.575 --> 00:03:21.284 address it. 00:03:21.492 --> 00:03:24.162 Second, really focusing on the human aspects of 00:03:24.162 --> 00:03:26.706 it, not just—and you mentioned that as among 00:03:26.706 --> 00:03:31.211 the things you were listing—that it's about the human elements of embracing AI, 00:03:31.211 --> 00:03:33.254 figuring on how it really gets used, 00:03:33.630 --> 00:03:36.507 reskilling the organization, building new muscle, 00:03:36.507 --> 00:03:39.135 changing the silos that often get in the way, 00:03:39.135 --> 00:03:43.598 alongside getting the algorithms right and the tech and data platforms right. 00:03:43.848 --> 00:03:46.517 So I think that's a new element to transformation, 00:03:46.517 --> 00:03:48.436 which has now become quite important. 00:03:49.062 --> 00:03:52.315 We're in a period of great disruption. 00:03:52.315 --> 00:03:56.069 There's so much going on, isn't there, in this space. I suppose, 00:03:56.110 --> 00:03:59.989 How do you keep calm while others around you are losing their heads? 00:03:59.989 --> 00:04:02.784 You know, what are you focusing on? It seems like there's so many things 00:04:02.784 --> 00:04:04.535 coming at you from all different directions: 00:04:04.535 --> 00:04:08.748 consumer expectations, AI, transformation, geopolitics. 00:04:09.165 --> 00:04:13.336 Yeah, it is a sporty environment, I would say. 00:04:13.336 --> 00:04:14.963 Sporty's a good word. 00:04:14.963 --> 00:04:15.129 Yeah. 00:04:17.257 --> 00:04:17.340 Yeah. 00:04:17.674 --> 00:04:19.217 Most of the time I don't feel sporty. 00:04:19.217 --> 00:04:23.179 But anyway, I would say trying to predict what's 00:04:23.179 --> 00:04:28.226 going to happen has become—and we do a lot of risk management— 00:04:28.226 --> 00:04:31.604 we try to list all the risks that we could potentially face, 00:04:31.604 --> 00:04:35.775 and are we preparing ourselves for that? Then the risk really materializes— 00:04:35.817 --> 00:04:36.526 a pandemic. 00:04:36.776 --> 00:04:37.986 Well, that wasn't on our list. 00:04:38.111 --> 00:04:41.948 No. The fast growth of AI —that wasn't on our list. 00:04:41.948 --> 00:04:45.493 The disruption of the cocoa supply chain—wasn't on our list. 00:04:45.868 --> 00:04:50.957 So the problem has become that you—it's very difficult to really know where the 00:04:50.957 --> 00:04:52.834 next challenge will come from. 00:04:53.376 --> 00:04:59.340 And so I think the secret is to create an organization that is ready for anything. 00:04:59.340 --> 00:05:02.635 That is, that knows they will be surprised by 00:05:02.635 --> 00:05:06.556 certain things, but that they are not surprised in the end. 00:05:06.848 --> 00:05:07.598 Making that, 00:05:07.682 --> 00:05:10.351 oh yeah, OK, we got the cocoa supply chain being disrupted. 00:05:11.060 --> 00:05:12.061 OK, we'll deal with it. 00:05:12.061 --> 00:05:15.273 And this is what we do. That I think keeps everybody calm and 00:05:15.273 --> 00:05:17.317 there's confidence we can deal with it. 00:05:17.817 --> 00:05:19.527 That is critical in these times, I would say. 00:05:19.527 --> 00:05:21.487 And then you need to adapt very fast. 00:05:21.487 --> 00:05:23.031 You can't lose a lot of time. 00:05:23.197 --> 00:05:26.451 So agility, speed has also become very important. 00:05:26.451 --> 00:05:29.370 So it's more—for me, the most important thing is the mindset 00:05:29.370 --> 00:05:32.123 of the organization, the preparation of the organization, 00:05:32.123 --> 00:05:33.958 and then the reaction to what happens. 00:05:33.958 --> 00:05:38.796 Create an organization that's ready for anything, Rich. 00:05:38.796 --> 00:05:39.839 That's the dream, isn't it? 00:05:40.715 --> 00:05:42.550 Yes, but there's a really—there's several 00:05:42.550 --> 00:05:44.260 important points in what Dirk just said. 00:05:44.594 --> 00:05:48.306 One is how much resilience has grown as a top of mind issue. 00:05:48.514 --> 00:05:53.728 If you compare CEOs today versus CEOs six years ago in 2019, I would say in 2019, 00:05:53.728 --> 00:05:58.274 everybody was just so focused on performance, performance, performance, 00:05:58.274 --> 00:06:03.363 and they created more brittle and often more rigid enterprises to extract every 00:06:03.363 --> 00:06:06.491 last ounce of performance out of the enterprise. 00:06:06.824 --> 00:06:11.412 After six years of pandemics and inflation and supply chain shock and now 00:06:11.412 --> 00:06:14.374 tariffs and all of the pressures we're feeling, 00:06:14.374 --> 00:06:18.544 CEOs of this generation understand resilience in such a deeper way. 00:06:18.795 --> 00:06:20.797 And you highlighted several of the points. 00:06:20.963 --> 00:06:23.549 It's about how do you think in advance of what could happen, 00:06:23.549 --> 00:06:26.177 even though you'll never get it exactly right, 00:06:26.177 --> 00:06:29.931 because it makes people more ready for different shots that could come along. 00:06:30.098 --> 00:06:31.724 How do you respond in the moment? 00:06:31.933 --> 00:06:36.771 And how do you create more adaptive, agile enterprises so they're not brittle, 00:06:36.771 --> 00:06:41.651 so that they can respond more quickly, so that they can work together in teams 00:06:41.651 --> 00:06:44.362 that often need to form just in the moment? 00:06:44.362 --> 00:06:46.614 Right now, people are putting in tariff command 00:06:46.614 --> 00:06:46.989 centers. 00:06:47.281 --> 00:06:49.909 Who would have thought of a tariff command center a year ago? 00:06:50.159 --> 00:06:53.496 But you need to bring different parts of the organization together. 00:06:53.496 --> 00:06:57.417 They need to think dynamically between supply chain, pricing, 00:06:57.417 --> 00:06:59.252 the government affairs teams. 00:06:59.502 --> 00:07:03.756 So I think that resilient mindset has grown so much in importance. 00:07:03.923 --> 00:07:06.426 And frankly, there's no sign of that becoming less 00:07:06.426 --> 00:07:06.884 important 00:07:07.218 --> 00:07:08.010 looking out ahead. 00:07:08.010 --> 00:07:10.263 I think this is the world we're in right now, don't you think? 00:07:10.263 --> 00:07:10.721 Yeah, yeah. 00:07:10.721 --> 00:07:13.474 I don't think it's going to change anytime soon. 00:07:14.559 --> 00:07:19.730 And the one that I would add to all this in the CPG industry is the consumer is 00:07:19.730 --> 00:07:21.524 also fundamentally changing. 00:07:21.524 --> 00:07:26.237 So the way we've always thought about the consumer is severely being disrupted at 00:07:26.237 --> 00:07:26.863 the moment. 00:07:26.863 --> 00:07:31.492 So we talked all about the shocks that come to us externally, 00:07:31.492 --> 00:07:37.290 but our fundamental model to connect with and delight consumers is also under pressure. 00:07:38.291 --> 00:07:42.670 And so there, it's less about resilience, but it's more about how do we every day 00:07:42.670 --> 00:07:46.924 understand the consumer better and how do we find solutions that even when they 00:07:46.924 --> 00:07:51.137 feel pressured in pricing or whatever it is that they still keep on buying our 00:07:51.137 --> 00:07:55.141 products—that is probably one of the biggest challenges that we also face. 00:07:55.349 --> 00:07:56.309 That's fantastic. 00:07:57.185 --> 00:07:58.811 Dirk, Rich, a pleasure, as always. 00:07:58.811 --> 00:07:59.562 Thank you so much. 00:07:59.687 --> 00:08:00.146 Thank you. 00:08:00.313 --> 00:08:00.688 Thank you.