WEBVTT 00:00:00.166 --> 00:00:02.043 I think the story of 2027, 00:00:02.043 --> 00:00:04.212 if I could leave you with one prediction, 00:00:04.212 --> 00:00:08.591 is that we'll be talking about agent-native brands. 00:00:08.591 --> 00:00:11.386 BCG's annual CMO survey 00:00:11.386 --> 00:00:13.221 tracks how marketing leaders 00:00:13.221 --> 00:00:15.390 are dealing with AI transformation. 00:00:15.390 --> 00:00:17.100 What's the big headline this year, 00:00:17.100 --> 00:00:18.935 and why does it matter? 00:00:18.935 --> 00:00:22.355 CMOs this year, they're in the driver's seat, 00:00:22.355 --> 00:00:25.650 and the quick stat that illustrates it so well 00:00:25.650 --> 00:00:28.695 is that 50% of CMOs tell us 00:00:28.695 --> 00:00:32.615 that they're making the AI investment decisions 00:00:32.615 --> 00:00:33.825 for their function. 00:00:33.825 --> 00:00:36.161 That's almost double what it was last year. 00:00:36.161 --> 00:00:38.079 So with that great power 00:00:38.079 --> 00:00:40.331 comes great responsibility. 00:00:40.331 --> 00:00:43.001 They're also telling us that CEOs and boards 00:00:43.001 --> 00:00:45.462 are ramping up expectations, 00:00:45.462 --> 00:00:48.339 not just in terms of delivering productivity gains 00:00:48.339 --> 00:00:51.634 but also measurable growth gains. 00:00:51.634 --> 00:00:53.094 So the good news, 00:00:53.094 --> 00:00:56.097 we've gone from pilot purgatory last year 00:00:56.097 --> 00:00:58.808 to actually driving the AI transformation 00:00:58.808 --> 00:01:00.393 in the marketing function, 00:01:00.393 --> 00:01:02.062 but now we got to deliver. 00:01:02.062 --> 00:01:03.521 The survey sort of shows this 00:01:03.521 --> 00:01:06.232 widening gap between the marketing leaders 00:01:06.232 --> 00:01:07.275 who are pulling ahead 00:01:07.275 --> 00:01:09.861 and those who are being left behind. 00:01:09.861 --> 00:01:11.321 What is it they're doing differently 00:01:11.321 --> 00:01:12.906 that's leading to those outcomes? 00:01:12.906 --> 00:01:14.866 Well, and that's the headline of this year. 00:01:14.866 --> 00:01:17.744 That's the story of our CMO survey this year. 00:01:17.744 --> 00:01:19.704 We've got this wide gap 00:01:19.704 --> 00:01:22.332 between illusion and reality. 00:01:22.332 --> 00:01:24.125 Almost every CMO tells us, 00:01:24.125 --> 00:01:27.253 "I'm doing an AI transformation in my function," 00:01:27.253 --> 00:01:28.713 but look under the hood, 00:01:28.713 --> 00:01:31.966 and it's mostly a shallow transformation. 00:01:31.966 --> 00:01:35.637 The third of CMOs that are doing the hard work, 00:01:35.637 --> 00:01:38.264 they're not just scaling up a few pilots 00:01:38.264 --> 00:01:39.099 here and there 00:01:39.099 --> 00:01:41.142 in content creation or the like. 00:01:41.142 --> 00:01:42.769 They're going end to end, 00:01:42.769 --> 00:01:45.480 transforming insights, to briefing, 00:01:45.480 --> 00:01:48.274 to content, to activation. 00:01:48.274 --> 00:01:49.692 They're also doing the hard work 00:01:49.692 --> 00:01:52.445 around the tech and people processes. 00:01:52.445 --> 00:01:53.530 And if you were to offer 00:01:53.530 --> 00:01:55.448 one bit of advice to a CMO 00:01:55.448 --> 00:01:58.076 for how you make the most difference, 00:01:58.076 --> 00:02:00.370 lasting impact, over the next 12 months, 00:02:00.370 --> 00:02:01.371 what would it be? 00:02:01.371 --> 00:02:04.249 Well, our survey report findings 00:02:04.249 --> 00:02:08.169 are chockfull of practical tips from CMOs, 00:02:08.169 --> 00:02:10.296 and they do center around the people 00:02:10.296 --> 00:02:11.548 and the technology. 00:02:11.548 --> 00:02:13.258 On the people front, 00:02:13.258 --> 00:02:16.386 I think some of the practical bits of advice are, 00:02:16.386 --> 00:02:19.722 number one, how do I upskill my people? 00:02:19.722 --> 00:02:22.934 CMOs can't hire this talent, it doesn't exist. 00:02:22.934 --> 00:02:26.146 So for example, a tech CMO told us, 00:02:26.146 --> 00:02:27.605 "Every Monday morning 00:02:27.605 --> 00:02:29.983 I send my team a simple video lesson. 00:02:29.983 --> 00:02:32.152 Five minutes, learn a new skill, 00:02:32.152 --> 00:02:33.820 and try it out right away. 00:02:33.820 --> 00:02:35.196 And the whole team blocks off 00:02:35.196 --> 00:02:37.073 50 minutes in their calendar, 00:02:37.073 --> 00:02:39.492 picks up that skill, and runs with it." 00:02:39.492 --> 00:02:41.953 Every lesson builds on the last one, 00:02:41.953 --> 00:02:44.164 and the team has been massively upskilled. 00:02:44.164 --> 00:02:47.125 You also have another pharma CMO sharing 00:02:47.125 --> 00:02:50.420 how she set up this team of AI wizards. 00:02:50.420 --> 00:02:52.672 These are curious experimenters 00:02:52.672 --> 00:02:54.215 who are constantly checking out 00:02:54.215 --> 00:02:57.427 the latest new tools in a safe environment 00:02:57.427 --> 00:03:00.221 and then bringing to the tech folks 00:03:00.221 --> 00:03:02.098 the tools that are the best ones, 00:03:02.098 --> 00:03:05.685 the next ones that they want to roll out and scale up. 00:03:05.685 --> 00:03:06.936 And then these AI wizards 00:03:06.936 --> 00:03:08.354 are also the change agents 00:03:08.354 --> 00:03:11.774 for scaling up these new tools and the processes. 00:03:11.774 --> 00:03:13.151 On the tech front, 00:03:13.151 --> 00:03:15.069 CMOs are also investing 00:03:15.069 --> 00:03:17.238 in the agentic tech stack- 00:03:17.238 --> 00:03:21.034 obviously in partnership with the CIO, CTO- 00:03:21.034 --> 00:03:22.535 they're cleaning up the data layer, 00:03:22.535 --> 00:03:24.120 that's still critical. 00:03:24.120 --> 00:03:26.581 But I think in the agentic age, 00:03:26.581 --> 00:03:29.667 there's also a new bit that they have to get right, 00:03:29.667 --> 00:03:32.587 what I call the brand intelligence layer. 00:03:32.587 --> 00:03:35.465 So this is basically competing on 00:03:35.465 --> 00:03:37.759 how your best marketers do the work 00:03:37.759 --> 00:03:40.303 and codifying that on top of your data layer 00:03:40.303 --> 00:03:42.597 so that the agents can access the data 00:03:42.597 --> 00:03:44.432 in the right way. 00:03:44.432 --> 00:03:46.559 For example, with a beauty company, 00:03:46.559 --> 00:03:48.353 we set up a briefing agent. 00:03:48.353 --> 00:03:51.314 When we simply put the agent on top of the data, 00:03:51.314 --> 00:03:53.191 it was basically useless, 00:03:53.191 --> 00:03:54.817 less than 50% accurate. 00:03:54.817 --> 00:03:55.944 When we put in place 00:03:55.944 --> 00:03:57.237 this brand intelligence layer, 00:03:57.237 --> 00:03:59.197 which was understanding 00:03:59.197 --> 00:04:00.698 which data sources to look at, 00:04:00.698 --> 00:04:03.159 which ones to trust, which ones not to trust, 00:04:03.159 --> 00:04:06.162 what questions the best marketers were asking 00:04:06.162 --> 00:04:09.582 to verify and improve the quality of the briefs, 00:04:09.582 --> 00:04:11.167 all that was coded in, 00:04:11.167 --> 00:04:14.504 the draft was 85% accurate and useful. 00:04:14.504 --> 00:04:15.797 So now we could work with that. 00:04:15.797 --> 00:04:17.507 We got real productivity gains. 00:04:17.507 --> 00:04:18.633 The campaigns got better. 00:04:18.633 --> 00:04:20.051 There was less back and forth 00:04:20.051 --> 00:04:22.262 between the agency and the internal teams. 00:04:22.262 --> 00:04:25.390 So you really do have to do the hard work, 00:04:25.390 --> 00:04:26.766 and the devil's in the details 00:04:26.766 --> 00:04:28.309 on the AI transformation. 00:04:28.309 --> 00:04:30.228 And I can't wait for next year 00:04:30.228 --> 00:04:32.981 because I think the story of 2027, 00:04:32.981 --> 00:04:35.525 if I could leave you with one prediction, 00:04:35.525 --> 00:04:40.321 is that we'll be talking about agent-native brands 00:04:40.321 --> 00:04:43.783 and how, just like we had digital-native brands, 00:04:43.783 --> 00:04:45.201 brands will figure out a way 00:04:45.201 --> 00:04:48.579 to build these processes from the start 00:04:48.579 --> 00:04:50.748 and grow faster than ever. 00:04:50.748 --> 00:04:52.333 And the established brands 00:04:52.333 --> 00:04:54.627 that don't adopt these processes, 00:04:54.627 --> 00:04:56.129 they'll be left behind. 00:04:56.129 --> 00:04:57.255 So the race is on. 00:04:57.255 --> 00:04:58.423 So much more to come. 00:04:58.423 --> 00:04:59.257 Thanks, Mark. 00:04:59.257 --> 00:05:00.341 That's right. 00:05:00.341 --> 00:05:02.885 (upbeat music)