WEBVTT 1 00:00:00.230 --> 00:00:02.813 (gentle music) 2 00:00:10.500 --> 00:00:13.800 When I think about my childhood in Morocco, 3 00:00:13.800 --> 00:00:16.470 some of the places I remember most fondly 4 00:00:16.470 --> 00:00:18.750 are now unrecognizable. 5 00:00:18.750 --> 00:00:22.860 Areas that were once green have turned to desert, 6 00:00:22.860 --> 00:00:24.973 while farms have been abandoned 7 00:00:24.973 --> 00:00:26.793 because of the lack of rain. 8 00:00:27.960 --> 00:00:32.010 The value of water has always been deeply understood here, 9 00:00:32.010 --> 00:00:35.130 and droughts have long shaped livelihoods, 10 00:00:35.130 --> 00:00:37.593 communities, and the wider economy, 11 00:00:38.550 --> 00:00:41.250 and it's essential for public and private sector leaders 12 00:00:41.250 --> 00:00:44.100 to manage climate risks through adaptation 13 00:00:44.100 --> 00:00:45.423 and resilience measures. 14 00:00:46.260 --> 00:00:51.260 Climate & Sustainability AI by BCG X can help. 15 00:00:51.420 --> 00:00:55.590 It uses data analytics to measure granular climate risks 16 00:00:55.590 --> 00:01:00.590 at national and regional levels so leaders can understand 17 00:01:00.750 --> 00:01:03.900 which investments should take priority. 18 00:01:03.900 --> 00:01:06.750 The data needed to make such calculations 19 00:01:06.750 --> 00:01:11.010 largely already exists, but it's very scattered. 20 00:01:11.010 --> 00:01:13.440 The challenge is that any region 21 00:01:13.440 --> 00:01:16.650 can be impacted by extreme heat, droughts, 22 00:01:16.650 --> 00:01:20.460 rising ocean temperatures, or flooding. 23 00:01:20.460 --> 00:01:24.120 These disasters can cause both direct physical damage 24 00:01:24.120 --> 00:01:26.970 and indirect impact on food systems, 25 00:01:26.970 --> 00:01:29.730 people's health, and economic activity. 26 00:01:29.730 --> 00:01:32.400 With so many risks and so many impacts, 27 00:01:32.400 --> 00:01:36.090 leaders often feel uncertain about how to proceed. 28 00:01:36.090 --> 00:01:38.130 The way to break this paralysis 29 00:01:38.130 --> 00:01:41.880 is to have a systematic, step-by-step approach 30 00:01:41.880 --> 00:01:44.313 based on data and climate change models. 31 00:01:45.240 --> 00:01:47.790 It's possible to measure the potential impact 32 00:01:47.790 --> 00:01:51.120 of weather events in a particular area, 33 00:01:51.120 --> 00:01:55.620 drilling right down to plots of just 10 square meters. 34 00:01:55.620 --> 00:01:57.660 In Kenya, for example, 35 00:01:57.660 --> 00:02:01.860 BCG X was able to calculate the number of people 36 00:02:01.860 --> 00:02:04.470 and the proportion of agricultural land 37 00:02:04.470 --> 00:02:07.203 vulnerable to drought in each region. 38 00:02:08.190 --> 00:02:10.740 This type of information can then be used 39 00:02:10.740 --> 00:02:13.770 to calculate the cost of inaction. 40 00:02:13.770 --> 00:02:15.840 If it can be shown, for example, 41 00:02:15.840 --> 00:02:20.640 that investing $8 billion in critical infrastructure now 42 00:02:20.640 --> 00:02:25.620 could avert $35 billion in damages further down the line, 43 00:02:25.620 --> 00:02:29.670 the leaders have a powerful case for action. 44 00:02:29.670 --> 00:02:33.540 For me, this subject is always top of mind, 45 00:02:33.540 --> 00:02:36.090 partly because of what I see around me 46 00:02:36.090 --> 00:02:39.120 and partly because of what people in Morocco 47 00:02:39.120 --> 00:02:43.350 and across Africa have lived through for years. 48 00:02:43.350 --> 00:02:46.080 This is also what drives our team: 49 00:02:46.080 --> 00:02:50.040 a shared mission to use Climate & Sustainability AI 50 00:02:50.040 --> 00:02:52.410 as a catalyst for action 51 00:02:52.410 --> 00:02:54.843 while there is still time to act. 52 00:02:55.803 --> 00:02:58.386 (gentle music)