WEBVTT 1 00:00:00.080 --> 00:00:02.800 The thing that impresses me the most about generative AI 2 00:00:02.800 --> 00:00:06.320 is its ability to digitize the entire marketing process, 3 00:00:06.320 --> 00:00:10.520 from ideation to content creation to activation. 4 00:00:10.520 --> 00:00:14.480 In a matter of minutes, you can identify consumer segments, 5 00:00:14.480 --> 00:00:18.520 come up with product innovations that are relevant for the segments, 6 00:00:18.520 --> 00:00:23.240 test them with a virtual consumer panel and then produce ad copies, 7 00:00:23.240 --> 00:00:26.360 but also product descriptions and even entire websites 8 00:00:26.360 --> 00:00:30.920 that talk about these products for consumers in a way that feels relevant 9 00:00:30.920 --> 00:00:32.040 and human-like. 10 00:00:37.840 --> 00:00:40.080 There are two reasons why generative AI 11 00:00:40.080 --> 00:00:42.360 is particularly important for CPGs. 12 00:00:42.360 --> 00:00:46.480 The first is that historically CPGs have been less data-rich than, 13 00:00:46.480 --> 00:00:50.040 let's say, retailers, banks or telecom operators. 14 00:00:50.040 --> 00:00:53.520 As generative AI is pre-trained on a lot of public data 15 00:00:53.520 --> 00:00:59.400 they can now, with less amounts of data, leverage the full potential of AI 16 00:00:59.400 --> 00:01:04.000 without having to invest in very large efforts to collect data. 17 00:01:04.000 --> 00:01:07.440 Second, a lot of competitive advantage and growth 18 00:01:07.440 --> 00:01:10.560 in CPG is driven by creation. 19 00:01:10.560 --> 00:01:15.040 Creating new products, new experiences, and new content. 20 00:01:15.040 --> 00:01:18.080 And this is where generative AI excels. 21 00:01:18.080 --> 00:01:20.640 There's been a lot of talk about hallucinations, 22 00:01:20.640 --> 00:01:25.560 but in the context of creation, hallucinations can be a good thing. 23 00:01:25.560 --> 00:01:27.040 The fact that generative AI 24 00:01:27.040 --> 00:01:30.080 will not give me extremely precise answers, 25 00:01:30.080 --> 00:01:35.440 but will think about relevant ideas for consumers that look just like me, 26 00:01:35.440 --> 00:01:38.560 can be a very powerful thing when it comes to innovation. 27 00:01:38.560 --> 00:01:42.760 Those who win will be the ones who will be able to provide 28 00:01:42.760 --> 00:01:47.240 the best personalized experiences for their consumers. 29 00:01:47.240 --> 00:01:51.960 And here, category leaders are advantaged because they typically have 30 00:01:51.960 --> 00:01:57.360 the largest amount of consumer data that is relevant for their category 31 00:01:57.360 --> 00:02:02.240 and that they can leverage to make generative AI models even more relevant.