1 00:00:01,078 --> 00:00:04,985 Since 2009, the world has been stuck 2 00:00:04,985 --> 00:00:10,067 on a single narrative around a coming global food crisis, 3 00:00:10,067 --> 00:00:13,380 and what we need to do to avoid it. 4 00:00:13,380 --> 00:00:18,634 How do we feed nine billion people by 2050? 5 00:00:18,634 --> 00:00:23,243 Every conference, podcast, and dialogue around global food security 6 00:00:23,243 --> 00:00:24,915 starts with this question 7 00:00:24,915 --> 00:00:26,892 and goes on to answer it 8 00:00:26,892 --> 00:00:32,923 by saying we need to produce 70 percent more food. 9 00:00:32,923 --> 00:00:36,244 The 2050 narrative started to evolve 10 00:00:36,244 --> 00:00:38,561 shortly after global food prices 11 00:00:38,561 --> 00:00:41,675 hit all-time highs in 2008. 12 00:00:41,675 --> 00:00:44,453 People were suffering and struggling, 13 00:00:44,453 --> 00:00:46,649 governments and world leaders 14 00:00:46,649 --> 00:00:48,718 needed to show us that they were paying attention 15 00:00:48,718 --> 00:00:51,162 and were working to solve it. 16 00:00:51,162 --> 00:00:55,741 The thing is, 2050 is so far into the future 17 00:00:55,741 --> 00:00:58,597 that we can't even relate to it, 18 00:00:58,597 --> 00:01:00,277 and more importantly, 19 00:01:00,277 --> 00:01:02,538 if we keep doing what we're doing, 20 00:01:02,538 --> 00:01:06,365 it's going to hit us a lot sooner than that. 21 00:01:06,365 --> 00:01:10,559 I believe we need to ask a different question. 22 00:01:10,559 --> 00:01:12,902 The answer to that question 23 00:01:12,902 --> 00:01:17,349 needs to be framed differently. 24 00:01:17,349 --> 00:01:20,117 If we can reframe the old narrative 25 00:01:20,117 --> 00:01:22,645 and replace it with new numbers 26 00:01:22,645 --> 00:01:25,447 that tell us a more complete pictures, 27 00:01:25,447 --> 00:01:29,014 numbers that everyone can understand 28 00:01:29,014 --> 00:01:31,629 and relate to, 29 00:01:31,629 --> 00:01:34,283 we can avoid the crisis altogether. 30 00:01:36,812 --> 00:01:39,808 I was a commodities trader in my past life, 31 00:01:39,808 --> 00:01:42,805 and one of the things that I learned trading 32 00:01:42,805 --> 00:01:45,606 is that every market has a tipping point, 33 00:01:45,606 --> 00:01:49,173 the point at which change occurs so rapidly 34 00:01:49,173 --> 00:01:51,127 that it impacts the world 35 00:01:51,127 --> 00:01:54,329 and things change forever. 36 00:01:54,329 --> 00:01:58,044 Think of the last financial crisis, 37 00:01:58,044 --> 00:02:01,142 or the dot com crash. 38 00:02:01,142 --> 00:02:04,831 So here's my concern. 39 00:02:04,831 --> 00:02:07,086 We could have a tipping point 40 00:02:07,086 --> 00:02:09,156 in global food and agriculture 41 00:02:09,156 --> 00:02:11,189 if surging demand 42 00:02:11,189 --> 00:02:18,594 surpasses the agricultural system's structural capacity to produce food. 43 00:02:18,594 --> 00:02:23,072 This means at this point supply can no longer keep up with demand 44 00:02:23,072 --> 00:02:25,693 despite exploding prices, 45 00:02:25,693 --> 00:02:30,497 unless we can commit to some type of structural change. 46 00:02:30,497 --> 00:02:32,525 This time around, 47 00:02:32,525 --> 00:02:35,503 it won't be about stock markets and money. 48 00:02:35,503 --> 00:02:36,769 It's about people. 49 00:02:36,769 --> 00:02:38,324 People could starve 50 00:02:38,324 --> 00:02:41,488 and governments may fall. 51 00:02:41,488 --> 00:02:45,907 This question of at what point does supply struggle 52 00:02:45,907 --> 00:02:47,732 to keep up with surging demand 53 00:02:47,732 --> 00:02:51,349 is one that started off as an interest for me while I was trading 54 00:02:51,349 --> 00:02:54,185 and became an absolute obsession. 55 00:02:54,185 --> 00:02:57,159 It went from interest to obsession 56 00:02:57,159 --> 00:03:00,818 when I realized through my research how broken the system was, 57 00:03:00,818 --> 00:03:06,235 and how very little data was being used to make such critical decisions. 58 00:03:06,235 --> 00:03:10,322 That's the point I decided to walk away from a career on Wall Street 59 00:03:10,322 --> 00:03:12,721 and start an entrepreneurial journey 60 00:03:12,721 --> 00:03:15,640 to start Gro Intelligence. 61 00:03:15,640 --> 00:03:18,800 At Gro, we focus on bringing this data 62 00:03:18,800 --> 00:03:21,584 and doing the work to make it actionable, 63 00:03:21,584 --> 00:03:24,809 to empower decision-makers at every level. 64 00:03:24,809 --> 00:03:27,865 But doing this work, 65 00:03:27,865 --> 00:03:29,119 we also realized that the world, 66 00:03:29,119 --> 00:03:30,569 not just world leaders, 67 00:03:30,569 --> 00:03:34,821 but businesses and citizens like every single person in this room, 68 00:03:34,821 --> 00:03:37,495 lacked an actionable guide 69 00:03:37,495 --> 00:03:42,623 on how we can avoid a coming global food security crisis. 70 00:03:42,623 --> 00:03:45,036 And so we built a model, 71 00:03:45,036 --> 00:03:47,712 leveraging the petabytes of data we sit on, 72 00:03:47,712 --> 00:03:50,832 and we solved for the tipping point. 73 00:03:50,832 --> 00:03:54,393 Now, no one knows we've been working on this problem, 74 00:03:54,393 --> 00:03:56,132 and this is the first time 75 00:03:56,132 --> 00:04:01,094 that I'm sharing what we discovered. 76 00:04:01,094 --> 00:04:03,064 We discovered that the tipping point 77 00:04:03,064 --> 00:04:06,622 is actually a decade from now. 78 00:04:06,622 --> 00:04:09,413 We discovered that the world 79 00:04:09,413 --> 00:04:13,709 will be short 214 trillion calories 80 00:04:13,709 --> 00:04:17,736 by 2027. 81 00:04:17,736 --> 00:04:22,714 The world is not in a position to fill this gap. 82 00:04:22,714 --> 00:04:25,180 Now, you'll notice 83 00:04:25,180 --> 00:04:29,467 that the way I'm framing this is different from how I started, 84 00:04:29,467 --> 00:04:31,755 and that's intentional, because until now, this problem 85 00:04:31,755 --> 00:04:35,019 has been quantified using mass: 86 00:04:35,019 --> 00:04:37,760 think kilograms, tons, hectograms, 87 00:04:37,760 --> 00:04:40,618 whatever your unit of choice is in mass. 88 00:04:40,618 --> 00:04:43,610 Why do we talk about food in terms of weight? 89 00:04:43,610 --> 00:04:45,081 Because it's easy. 90 00:04:45,081 --> 00:04:48,589 We can look at a photograph and determine tonnage on a ship 91 00:04:48,589 --> 00:04:50,733 by using a simple pocket calculator. 92 00:04:50,733 --> 00:04:54,165 We can weigh trucks, airplanes and oxcarts. 93 00:04:54,165 --> 00:04:59,005 But what we care about in food is nutritional value. 94 00:04:59,005 --> 00:05:02,521 Not all foods are created equal, 95 00:05:02,521 --> 00:05:05,134 even if they weigh the same. 96 00:05:05,134 --> 00:05:07,501 This I learned firsthand 97 00:05:07,501 --> 00:05:11,093 when I moved from Ethiopia to the US for university. 98 00:05:11,093 --> 00:05:13,642 Upon my return back home, 99 00:05:13,642 --> 00:05:16,753 my father, who was so excited to see me, 100 00:05:16,753 --> 00:05:21,276 greeted me by asking why I was fat. 101 00:05:21,276 --> 00:05:25,130 Now, turns out that eating 102 00:05:25,130 --> 00:05:31,865 approximately the same amount of food as I did in Ethiopia, but in America, 103 00:05:31,865 --> 00:05:36,088 had actually lent a certain fullness to my figure. 104 00:05:36,088 --> 00:05:41,682 This is why we should care about calories, 105 00:05:41,682 --> 00:05:42,917 not about mass. 106 00:05:42,917 --> 00:05:45,772 It is calories which sustain us. 107 00:05:47,154 --> 00:05:52,422 So 214 trillion calories is a very large number, 108 00:05:52,422 --> 00:05:55,859 and not even the most dedicated of us 109 00:05:55,859 --> 00:05:59,234 think in the hundreds of trillions of calories. 110 00:05:59,234 --> 00:06:02,191 So let me break this down differently. 111 00:06:02,191 --> 00:06:05,461 An alternative way to think about this 112 00:06:05,461 --> 00:06:08,497 is to think about it in Big Macs. 113 00:06:08,497 --> 00:06:11,285 214 trillion calories. 114 00:06:11,285 --> 00:06:14,116 A single Big Mac has 563 calories. 115 00:06:14,116 --> 00:06:20,523 That means the world will be short 379 billion Big Macs in 2027. 116 00:06:20,523 --> 00:06:24,370 That is more Big Macs than McDonald's has ever produced. 117 00:06:26,218 --> 00:06:30,336 So how did we get to these numbers in the first place? 118 00:06:30,336 --> 00:06:32,204 They're not made up. 119 00:06:32,204 --> 00:06:34,581 This map shows you 120 00:06:34,581 --> 00:06:37,619 where the world was 40 years ago. 121 00:06:37,619 --> 00:06:41,569 It shows you net calorie gaps in every country in the world. 122 00:06:41,569 --> 00:06:42,841 Now, simply put, 123 00:06:42,841 --> 00:06:46,025 this is just calories consumed in that country 124 00:06:46,025 --> 00:06:49,408 minus calories produced in that same country. 125 00:06:49,408 --> 00:06:51,846 This is not a statement on malnutrition or anything else. 126 00:06:51,846 --> 00:06:55,929 It's simply saying how many calories are consumed in a single year 127 00:06:55,929 --> 00:06:57,924 minus how many are produced. 128 00:06:57,924 --> 00:07:01,278 Blue countries are net calorie exporters, 129 00:07:01,278 --> 00:07:02,706 or self-sufficient. 130 00:07:02,706 --> 00:07:05,365 They have some in storage for a rainy day. 131 00:07:05,365 --> 00:07:08,186 Red countries are net calorie importers. 132 00:07:08,186 --> 00:07:10,009 The deeper, the brighter the red, 133 00:07:10,009 --> 00:07:12,467 the more you're importing. 134 00:07:12,467 --> 00:07:16,868 40 years ago, such few countries were net exporters of calories, 135 00:07:16,868 --> 00:07:19,595 I could count them with one hand. 136 00:07:19,595 --> 00:07:21,491 Most of the African continent, 137 00:07:21,491 --> 00:07:24,386 Europe, most of Asia, 138 00:07:24,386 --> 00:07:26,685 South America excluding Argentina, 139 00:07:26,685 --> 00:07:28,881 were all net importers of calories. 140 00:07:28,881 --> 00:07:32,988 And what's surprising is that China used to actually be food self-sufficient. 141 00:07:32,988 --> 00:07:36,858 India was a big net importer of calories. 142 00:07:36,858 --> 00:07:39,881 40 years later, this is today. 143 00:07:40,337 --> 00:07:44,322 You can see the drastic transformation that's occurred in the world. 144 00:07:44,322 --> 00:07:47,847 Brazil has emerged as an agricultural powerhouse. 145 00:07:47,847 --> 00:07:51,100 Europe is dominant in global agriculture. 146 00:07:51,100 --> 00:07:54,349 India has actually flipped from red to blue. 147 00:07:54,349 --> 00:07:56,405 It's become food self-sufficient. 148 00:07:56,405 --> 00:07:58,704 And China went from that light blue 149 00:07:58,704 --> 00:08:02,570 to the brightest red that you see on this map. 150 00:08:02,570 --> 00:08:06,243 How did we get here? What happened? 151 00:08:06,243 --> 00:08:09,762 So this chart shows you India and Africa. 152 00:08:09,762 --> 00:08:12,890 Blue line is India, red line is Africa. 153 00:08:12,890 --> 00:08:16,917 How is it that two regions that started off so similarly 154 00:08:16,917 --> 00:08:19,017 in such similar trajectories 155 00:08:19,017 --> 00:08:21,210 take such different paths? 156 00:08:21,210 --> 00:08:24,308 India had a green revolution. 157 00:08:24,308 --> 00:08:28,859 Not a single African country had a green revolution. 158 00:08:28,859 --> 00:08:29,805 The net outcome? 159 00:08:29,805 --> 00:08:31,358 India is food self-sufficient 160 00:08:31,358 --> 00:08:34,732 and in the past decade has actually been exporting calories. 161 00:08:34,732 --> 00:08:39,538 The African continent now imports over 300 trillion calories a year. 162 00:08:39,538 --> 00:08:42,351 Then we add China, the green line. 163 00:08:42,351 --> 00:08:47,385 Remember the switch from the blue to the bright red? 164 00:08:47,385 --> 00:08:48,732 What happened, and when did it happen? 165 00:08:48,732 --> 00:08:53,643 China seemed to be on a very similar path to India 166 00:08:53,643 --> 00:08:55,994 until the start of the 21st century, 167 00:08:55,994 --> 00:08:58,568 where it suddenly flipped. 168 00:08:58,568 --> 00:09:00,617 A young and growing population 169 00:09:00,617 --> 00:09:03,605 combined with significant economic growth 170 00:09:03,605 --> 00:09:06,269 made its mark with a big bang, 171 00:09:06,269 --> 00:09:09,738 and no one in the markets saw it coming. 172 00:09:09,738 --> 00:09:13,528 This flip was everything to global agricultural markets. 173 00:09:13,528 --> 00:09:16,107 Luckily now, South America 174 00:09:16,107 --> 00:09:21,538 was starting to boom at the same time as China's rise, 175 00:09:21,538 --> 00:09:26,582 and so therefore, supply and demand were still somewhat balanced. 176 00:09:26,582 --> 00:09:28,902 So the question becomes, 177 00:09:28,902 --> 00:09:31,509 where do we go from here? 178 00:09:31,509 --> 00:09:33,327 Oddly enough, 179 00:09:33,327 --> 00:09:35,632 it's not a new story, 180 00:09:35,632 --> 00:09:39,499 except this time it's not just a story of China. 181 00:09:39,499 --> 00:09:42,115 It's a continuation of China, 182 00:09:42,115 --> 00:09:44,047 an amplification of Africa, 183 00:09:44,047 --> 00:09:46,897 and a paradigm shift in India. 184 00:09:46,897 --> 00:09:51,775 By 2023, Africa's population is forecasted to overtake that 185 00:09:51,775 --> 00:09:54,684 of India's and China's. 186 00:09:54,684 --> 00:09:57,083 By 2023, these three regions combined 187 00:09:57,083 --> 00:10:01,231 will make up over half the world's population. 188 00:10:01,231 --> 00:10:05,698 This crossover point starts to present really interesting challenges 189 00:10:05,698 --> 00:10:07,521 for global food security, 190 00:10:07,521 --> 00:10:12,147 and a few years later, we're hit hard with that reality. 191 00:10:12,147 --> 00:10:17,335 What does the world look like in 10 years? 192 00:10:17,335 --> 00:10:21,216 So far, as I mentioned, India has been food self-sufficient. 193 00:10:21,216 --> 00:10:25,463 Most forecasters predict that this will continue. 194 00:10:25,463 --> 00:10:27,232 We disagree. 195 00:10:27,232 --> 00:10:32,108 India will soon become a net importer of calories. 196 00:10:32,108 --> 00:10:35,329 This will be driven both by the fact that demand is growing 197 00:10:35,329 --> 00:10:38,506 from a population growth standpoint plus economic growth. 198 00:10:38,506 --> 00:10:40,324 It will be driven by both. 199 00:10:40,324 --> 00:10:42,676 And even if you have optimistic assumptions 200 00:10:42,676 --> 00:10:44,496 around production growth, 201 00:10:44,496 --> 00:10:47,318 it will make that slight flip. 202 00:10:47,318 --> 00:10:51,916 That slight flip can have huge implications. 203 00:10:51,916 --> 00:10:56,728 Next, Africa will continue to be a net importer of calories, 204 00:10:56,728 --> 00:11:00,389 again driven by population growth and economic growth. 205 00:11:00,389 --> 00:11:04,320 This is again assuming optimistic production growth assumptions. 206 00:11:04,320 --> 00:11:05,611 Then China, 207 00:11:05,611 --> 00:11:08,043 where population is flattening out, 208 00:11:08,043 --> 00:11:10,412 calorie consumption will explode 209 00:11:10,412 --> 00:11:13,337 because the types of calories consumed 210 00:11:13,337 --> 00:11:17,941 are also starting to be higher calorie content foods. 211 00:11:17,941 --> 00:11:20,151 And so therefore, 212 00:11:20,151 --> 00:11:21,588 these three regions combined 213 00:11:21,588 --> 00:11:24,566 start to present a really interesting challenge for the world. 214 00:11:24,566 --> 00:11:29,101 Until now, countries with calorie deficits 215 00:11:29,101 --> 00:11:31,698 have been able to meet these deficits 216 00:11:31,698 --> 00:11:33,984 from importing from surplus regions. 217 00:11:33,984 --> 00:11:37,044 By surplus regions, I'm talking about 218 00:11:37,044 --> 00:11:39,992 North America, South America and Europe. 219 00:11:39,992 --> 00:11:42,384 This line chart over here shows you 220 00:11:42,384 --> 00:11:46,774 the growth and the projected growth over the next decade of production 221 00:11:46,774 --> 00:11:49,680 from North America, South America and Europe. 222 00:11:49,680 --> 00:11:50,858 What it doesn't show you 223 00:11:50,858 --> 00:11:54,660 is that most of this growth is actually going to come from South America, 224 00:11:54,660 --> 00:11:56,315 and most of this growth 225 00:11:56,315 --> 00:11:59,225 is going to come at the huge cost 226 00:11:59,225 --> 00:12:02,425 of deforestation. 227 00:12:02,425 --> 00:12:06,168 And so when you look at the combined demand increase 228 00:12:06,168 --> 00:12:10,478 coming from India, China and the African continent, 229 00:12:10,478 --> 00:12:14,386 and look at it versus the combined increase in production coming from India, 230 00:12:14,386 --> 00:12:19,556 China, the African continent, North America, South America and Europe, 231 00:12:19,556 --> 00:12:25,036 you are left with a 214 trillion calorie deficit, 232 00:12:25,036 --> 00:12:26,729 one we can't produce. 233 00:12:26,729 --> 00:12:30,569 And this, by the way, is actually assuming we take all the extra calories 234 00:12:30,569 --> 00:12:33,196 produced in North America, South America and Europe 235 00:12:33,196 --> 00:12:39,516 and export them solely to India, China and Africa. 236 00:12:39,516 --> 00:12:43,792 What I just presented to you is a vision of an impossible world. 237 00:12:43,792 --> 00:12:45,999 We can do something to change that. 238 00:12:45,999 --> 00:12:48,901 We can change consumption patterns, 239 00:12:48,901 --> 00:12:51,264 we can reduce food waste, 240 00:12:51,264 --> 00:12:54,781 or we can make a bold commitment 241 00:12:54,781 --> 00:12:57,964 to increasing yields exponentially. 242 00:12:57,964 --> 00:13:00,495 Now I'm not going to go into discussing 243 00:13:00,495 --> 00:13:02,600 changing consumption patterns or reducing food waste, 244 00:13:02,600 --> 00:13:05,101 because those conversations have been going on for some time now. 245 00:13:05,101 --> 00:13:06,728 Nothing has happened. 246 00:13:06,728 --> 00:13:08,228 Nothing has happened 247 00:13:08,228 --> 00:13:10,209 because those arguments 248 00:13:10,209 --> 00:13:13,451 ask the surplus regions to change their behavior 249 00:13:13,451 --> 00:13:17,016 on behalf of deficit regions. 250 00:13:17,016 --> 00:13:19,720 Waiting for others to change their behavior 251 00:13:19,720 --> 00:13:22,195 on your behalf for your survival 252 00:13:22,195 --> 00:13:23,787 is a terrible idea. 253 00:13:23,787 --> 00:13:25,818 It's unproductive. 254 00:13:25,818 --> 00:13:28,634 So I'd like to suggest an alternative 255 00:13:28,634 --> 00:13:31,687 that comes from the red regions. 256 00:13:31,687 --> 00:13:34,655 China, India, Africa. 257 00:13:34,655 --> 00:13:37,866 China is constrained in terms of how much more land it actually has 258 00:13:37,866 --> 00:13:39,447 available for agriculture, 259 00:13:39,447 --> 00:13:43,243 and it has massive water resource availability issues. 260 00:13:43,243 --> 00:13:48,065 So the answer really lies in India and in Africa. 261 00:13:48,065 --> 00:13:52,996 India has some upside in terms of potential yield increases. 262 00:13:52,996 --> 00:13:55,318 Now this is the gap between its current yield 263 00:13:55,318 --> 00:13:59,795 and the theoretical maximum yield it can achieve. 264 00:13:59,795 --> 00:14:03,258 It has some unfarmed arable land remaining, but not much, 265 00:14:03,258 --> 00:14:06,475 India is quite land constrained. 266 00:14:06,475 --> 00:14:09,410 Now the African continent, on the other hand, 267 00:14:09,410 --> 00:14:12,421 has vast amounts of arable land remaining 268 00:14:12,421 --> 00:14:16,229 and significant upside potential in yields. 269 00:14:16,229 --> 00:14:18,886 Somewhat simplified picture here, 270 00:14:18,886 --> 00:14:23,556 but if you look at sub-Saharan African yields in corn today, 271 00:14:23,556 --> 00:14:28,957 they are where North American yields were in 1940. 272 00:14:28,957 --> 00:14:32,818 We don't have 70-plus years to figure this out, 273 00:14:32,818 --> 00:14:35,230 so it means we need to try something new 274 00:14:35,230 --> 00:14:38,659 and we need to try something different. 275 00:14:38,659 --> 00:14:42,127 The solution starts with reforms. 276 00:14:42,127 --> 00:14:46,141 We need to reform and commercialize 277 00:14:46,141 --> 00:14:48,742 the agricultural industries in Africa 278 00:14:48,742 --> 00:14:50,557 and in India. 279 00:14:50,557 --> 00:14:52,416 Now, by commercialization, 280 00:14:52,416 --> 00:14:55,878 commercialization is not about commercial farming alone. 281 00:14:55,878 --> 00:14:58,873 Commercialization is about leveraging data 282 00:14:58,873 --> 00:15:00,706 to craft better policies, 283 00:15:00,706 --> 00:15:02,657 to improve infrastructure, 284 00:15:02,657 --> 00:15:04,361 to lower the transportation costs, 285 00:15:04,361 --> 00:15:08,719 and to completely reform banking and insurance industries. 286 00:15:08,719 --> 00:15:11,656 Commercialization is about taking agriculture 287 00:15:11,656 --> 00:15:15,846 from too risky an endeavor to one where fortunes can be made. 288 00:15:15,846 --> 00:15:19,124 Commercialization is not about just farmers. 289 00:15:19,124 --> 00:15:24,660 Commercialization is about the entire agricultural system. 290 00:15:24,660 --> 00:15:28,979 But commercialization also means confronting the fact 291 00:15:28,979 --> 00:15:32,537 that we can no longer place the burden of growth 292 00:15:32,537 --> 00:15:36,417 on small-scale farmers alone, 293 00:15:36,417 --> 00:15:42,080 and accepting that commercial farms and the introduction of commercial farms 294 00:15:42,080 --> 00:15:44,841 could provide certain economies of scale 295 00:15:44,841 --> 00:15:48,518 that even small-scale farmers can leverage. 296 00:15:48,518 --> 00:15:52,398 It is not about small-scale farming or commercial agriculture, 297 00:15:52,398 --> 00:15:53,920 or big agriculture. 298 00:15:53,920 --> 00:15:59,321 We can create the first successful models of the coexistence and success 299 00:15:59,321 --> 00:16:03,181 of small-scale farming alongside commercial agriculture. 300 00:16:03,181 --> 00:16:06,621 This is because, for the first time ever, 301 00:16:06,621 --> 00:16:09,880 the most critical tool for success in the industry -- 302 00:16:09,880 --> 00:16:11,567 data and knowledge -- 303 00:16:11,567 --> 00:16:14,923 is becoming cheaper by the day. 304 00:16:14,923 --> 00:16:18,244 And very soon, it won't matter how much money you have 305 00:16:18,244 --> 00:16:19,948 or how big you are 306 00:16:19,948 --> 00:16:24,172 to make optimal decisions and maximize probability of success 307 00:16:24,172 --> 00:16:27,652 in reaching your intended goal. 308 00:16:27,652 --> 00:16:31,934 Companies like Gro are working really, really hard to make this a reality. 309 00:16:31,934 --> 00:16:36,450 So if we can commit to this new, bold initiative, 310 00:16:36,450 --> 00:16:38,629 to this new, bold change, 311 00:16:38,629 --> 00:16:42,360 not only can we solve the 214 trillion gap 312 00:16:42,360 --> 00:16:43,925 that I talked about, 313 00:16:43,925 --> 00:16:47,180 but we can actually set the world on a whole new path. 314 00:16:47,180 --> 00:16:51,350 India can remain food self-sufficient, 315 00:16:51,350 --> 00:16:53,080 and Africa can emerge 316 00:16:53,080 --> 00:16:57,503 as the world's next dark blue region. 317 00:16:57,503 --> 00:16:59,826 The new question is, 318 00:16:59,826 --> 00:17:01,485 how do we produce 319 00:17:01,485 --> 00:17:03,930 214 trillion calories 320 00:17:03,930 --> 00:17:09,081 to feed 8.3 billion people by 2027? 321 00:17:09,081 --> 00:17:11,217 We have the solution. 322 00:17:11,217 --> 00:17:13,715 We just need to act on it. 323 00:17:13,715 --> 00:17:15,588 Thank you. 324 00:17:15,588 --> 00:17:20,597 (Applause)