1 00:00:00,120 --> 00:00:03,840 Speaker 1: Quite a time to be going through all of these changes, 2 00:00:04,360 --> 00:00:08,080 Speaker 1: and you recently wrote a paper on artificial intelligence, and 3 00:00:08,160 --> 00:00:11,080 Speaker 1: I want to start with just asking you about which 4 00:00:11,119 --> 00:00:13,960 Speaker 1: countries you see benefiting the most and what you see 5 00:00:14,200 --> 00:00:16,919 Speaker 1: being luck behind in the most severe ways. 6 00:00:17,840 --> 00:00:19,279 Speaker 2: Let me start by saying that. 7 00:00:20,720 --> 00:00:28,120 Speaker 3: This summer, during my birthday celebration, I got a very 8 00:00:28,120 --> 00:00:33,720 Speaker 3: interesting present. The nerds in my family, the younger people, 9 00:00:35,000 --> 00:00:41,520 Speaker 3: gave me a portrait of me done by artificial intelligence. 10 00:00:42,800 --> 00:00:45,680 Speaker 3: And I looked at it. It was actually pretty good portrait, 11 00:00:46,360 --> 00:00:50,560 Speaker 3: and I thought, huh, this is moving. 12 00:00:50,360 --> 00:00:52,400 Speaker 2: Faster than I thought. 13 00:00:53,159 --> 00:00:56,520 Speaker 3: And with my colleagues, we looked into the data and 14 00:00:56,560 --> 00:01:02,280 Speaker 3: here is the answer to your question from a labor 15 00:01:02,440 --> 00:01:03,680 Speaker 3: market perspective. 16 00:01:03,800 --> 00:01:06,040 Speaker 2: In other words, what happens to jobs. 17 00:01:07,319 --> 00:01:10,880 Speaker 3: Advanced economies and a very small number of emerging market 18 00:01:10,920 --> 00:01:15,880 Speaker 3: economies are going to see the biggest opportunity for them, 19 00:01:16,040 --> 00:01:22,160 Speaker 3: but also the highest risks. Sixty percent of jobs in 20 00:01:22,240 --> 00:01:28,760 Speaker 3: advanced economies over a foreseeable future are going to be 21 00:01:28,880 --> 00:01:34,240 Speaker 3: impacted by artificial intelligence, and they would be impacted in 22 00:01:34,319 --> 00:01:39,279 Speaker 3: one of two ways. If you're lucky, artificial intelligence will 23 00:01:39,640 --> 00:01:45,440 Speaker 3: enhance your productivity, make your job more enjoyable, and very 24 00:01:45,600 --> 00:01:46,600 Speaker 3: likely better paid. 25 00:01:47,440 --> 00:01:50,840 Speaker 2: If you are unlucky, your job is gone. 26 00:01:51,160 --> 00:01:56,320 Speaker 3: And that also means that who benefits is not determined 27 00:01:56,720 --> 00:02:00,360 Speaker 3: only by whether you were born in a more developed 28 00:02:00,400 --> 00:02:03,120 Speaker 3: country or not. It is determined by the kind of 29 00:02:03,280 --> 00:02:06,960 Speaker 3: job you hold. When we looked at the impact on 30 00:02:08,400 --> 00:02:13,600 Speaker 3: emerging markets and developing economies, emerging markets would see forty 31 00:02:13,639 --> 00:02:19,080 Speaker 3: percent of jobs impacted. Low income countries twenty six percent. 32 00:02:19,840 --> 00:02:23,320 Speaker 3: You can say, well, that gives them a long time 33 00:02:23,400 --> 00:02:28,120 Speaker 3: to prepare, but also it may mean they miss on productivity. 34 00:02:28,760 --> 00:02:31,760 Speaker 2: And why is this absolutely essential? 35 00:02:32,600 --> 00:02:36,160 Speaker 3: Because over the last years you mentioned I started twenty nineteen, 36 00:02:36,240 --> 00:02:40,440 Speaker 3: since COVID hit US, the world has been either in 37 00:02:40,560 --> 00:02:45,960 Speaker 3: recession in twenty twenty or growing relatively slowly, with the 38 00:02:45,960 --> 00:02:49,320 Speaker 3: exception of twenty twenty one that was a recovery year. 39 00:02:50,240 --> 00:02:54,240 Speaker 3: Three percent growth year after year after year all the 40 00:02:54,280 --> 00:02:57,640 Speaker 3: way in the next couple of years is way below 41 00:02:58,160 --> 00:03:02,720 Speaker 3: the historic avery of three point eight percent that was 42 00:03:02,760 --> 00:03:06,640 Speaker 3: the decade before COVID. So if we want to see 43 00:03:07,760 --> 00:03:13,000 Speaker 3: better opportunities, increased in a standard of living, we need 44 00:03:13,000 --> 00:03:16,280 Speaker 3: more growth, and to have more growth, we need more productivity. 45 00:03:16,440 --> 00:03:19,280 Speaker 1: So if artificial intelligence keeps accelerating at the pace that 46 00:03:19,440 --> 00:03:22,839 Speaker 1: some people say that it is. Where could the rate 47 00:03:22,880 --> 00:03:25,480 Speaker 1: of growth go to from this three percent kind of 48 00:03:25,520 --> 00:03:28,440 Speaker 1: grind that you see for the foreseeable future without it? 49 00:03:28,760 --> 00:03:31,520 Speaker 2: Well, let me just say the following. 50 00:03:32,280 --> 00:03:35,040 Speaker 3: We did the paper you mentioned, We did a very 51 00:03:35,080 --> 00:03:41,320 Speaker 3: interesting analysis on the prerequisites for artificial intelligence to be 52 00:03:42,520 --> 00:03:45,760 Speaker 3: adopted in a country more effectively. And we came up 53 00:03:45,800 --> 00:03:53,280 Speaker 3: with four criteria digital infrastructure, human capital and labor market, flexibility, 54 00:03:54,000 --> 00:04:00,800 Speaker 3: innovation and ethics and governance. And then we ranked all countries, 55 00:04:01,360 --> 00:04:04,440 Speaker 3: actually one hundred and twenty five countries on the basis 56 00:04:04,440 --> 00:04:05,560 Speaker 3: of this criteria. 57 00:04:05,640 --> 00:04:10,360 Speaker 2: Who came on top? Any guesses here? The United States? 58 00:04:10,880 --> 00:04:12,360 Speaker 2: Number two, China. 59 00:04:15,840 --> 00:04:21,839 Speaker 3: Well, let me kind of shorten these suspense the Singapore 60 00:04:21,960 --> 00:04:26,279 Speaker 3: And if you ever have been interacting with, say the 61 00:04:26,320 --> 00:04:31,000 Speaker 3: Singaporean minister responsible for artificial intelligence, if you have been 62 00:04:31,040 --> 00:04:32,280 Speaker 3: there in their. 63 00:04:32,760 --> 00:04:34,120 Speaker 2: Engagements, you would see why. 64 00:04:34,200 --> 00:04:37,919 Speaker 3: So we have Singapore, the United States, Denmark then a 65 00:04:37,960 --> 00:04:43,880 Speaker 3: small group and you can go Germany, Australia, UK a. 66 00:04:43,880 --> 00:04:45,599 Speaker 2: Small group of advanced economies. 67 00:04:45,680 --> 00:04:51,279 Speaker 3: Here everybody else utterly unprepared for this new world. 68 00:04:51,560 --> 00:04:53,800 Speaker 1: So here comes a question, especially given the fact that 69 00:04:53,800 --> 00:04:56,200 Speaker 1: the United States is putting a lot of money into this. 70 00:04:56,320 --> 00:04:57,680 Speaker 1: China is putting a lot of money into that. They 71 00:04:57,760 --> 00:04:59,560 Speaker 1: might not have all those prerequisites, but they do have 72 00:04:59,600 --> 00:05:02,080 Speaker 1: a lot of and the punneling in the development of this. 73 00:05:02,920 --> 00:05:04,320 Speaker 2: Does that make you a job harder? 74 00:05:04,360 --> 00:05:07,279 Speaker 1: Because there's almost a new arms race between the most 75 00:05:07,279 --> 00:05:09,800 Speaker 1: powerful nations that are all member states of the IMF. 76 00:05:10,839 --> 00:05:15,880 Speaker 3: What is making our job harder are two risks that 77 00:05:15,960 --> 00:05:23,360 Speaker 3: come with artificial intelligence. One increase of inequality. The world 78 00:05:24,000 --> 00:05:30,320 Speaker 3: is already so unequal that it impacts the fabric of 79 00:05:30,400 --> 00:05:34,560 Speaker 3: societies and it's still sobering protests on the streets in 80 00:05:35,120 --> 00:05:41,000 Speaker 3: lack of trust in governments, and artificial intelligence unless this 81 00:05:41,200 --> 00:05:44,360 Speaker 3: is attended, is going to deepen inequality. 82 00:05:44,960 --> 00:05:48,120 Speaker 2: Those workers that would see their jobs in hands, they'll 83 00:05:48,160 --> 00:05:48,880 Speaker 2: make more money. 84 00:05:49,680 --> 00:05:52,200 Speaker 3: But those that see their jobs gone, if there is 85 00:05:52,240 --> 00:05:54,000 Speaker 3: no social safety. 86 00:05:53,600 --> 00:05:56,400 Speaker 2: Net for them, they're going to be in deep trouble. 87 00:05:56,200 --> 00:06:01,520 Speaker 3: And then across countries inequality would grow. The second big 88 00:06:01,720 --> 00:06:07,520 Speaker 3: risk we see from our perspective is on a financial stability. 89 00:06:08,240 --> 00:06:12,400 Speaker 3: Why we are concerned about that because artificial intelligence can 90 00:06:12,560 --> 00:06:20,000 Speaker 3: lead to manipulation of data of prospectives for companies and 91 00:06:20,040 --> 00:06:23,960 Speaker 3: countries in a way that we have not seen so far. 92 00:06:24,680 --> 00:06:29,599 Speaker 3: So what does it mean, Well, it means that governments 93 00:06:29,640 --> 00:06:33,200 Speaker 3: have to wake up and take this very seriously. At 94 00:06:33,200 --> 00:06:37,360 Speaker 3: the moment, I don't think they do. I don't think 95 00:06:37,360 --> 00:06:40,400 Speaker 3: that they're looking at their level of preparedness seriously and 96 00:06:40,440 --> 00:06:45,120 Speaker 3: then doing what is necessary to step up, but especially 97 00:06:45,400 --> 00:06:47,359 Speaker 3: to figure out what do you do, how do you 98 00:06:47,400 --> 00:06:51,039 Speaker 3: regulate something that changes so rapidly, and how do you 99 00:06:51,200 --> 00:06:56,480 Speaker 3: regulate it to bring the risks of misinformation disinformation down 100 00:06:56,800 --> 00:06:58,599 Speaker 3: but grab the productivity benefit. 101 00:06:58,680 --> 00:07:00,760 Speaker 1: That's why I wanted to go a message from We're 102 00:07:00,760 --> 00:07:03,640 Speaker 1: having elections in a number of places, including the United States. 103 00:07:03,640 --> 00:07:06,400 Speaker 1: A big topic of discussion here is the prospect of 104 00:07:06,440 --> 00:07:09,280 Speaker 1: Donald Trump being president yet again in the United States. 105 00:07:09,279 --> 00:07:12,520 Speaker 1: He did just win the Iowa caucus in the fastest amount. 106 00:07:12,240 --> 00:07:13,640 Speaker 2: Of time on record. 107 00:07:14,240 --> 00:07:17,360 Speaker 1: How does that feature into some of your conversations and 108 00:07:17,760 --> 00:07:20,440 Speaker 1: how misinformation could play into some of these things. 109 00:07:20,480 --> 00:07:27,720 Speaker 3: Well, this is actually even higher concern than inequality because 110 00:07:28,040 --> 00:07:33,760 Speaker 3: it has been expanding very rapidly. And what we now 111 00:07:34,200 --> 00:07:39,600 Speaker 3: face is a big driver of mistrust comes from all 112 00:07:39,680 --> 00:07:43,600 Speaker 3: this crap that is being thrown at people that you 113 00:07:43,640 --> 00:07:47,520 Speaker 3: need to solve. True, So we are benefiting in terms 114 00:07:47,560 --> 00:07:52,040 Speaker 3: of you have multiple sources of information, but what we 115 00:07:52,080 --> 00:07:55,320 Speaker 3: are seeing is quite dangerous. And then on top of it, 116 00:07:55,400 --> 00:08:02,280 Speaker 3: you have cyber security risks. I'm okay, I'm born optimist, 117 00:08:03,640 --> 00:08:06,760 Speaker 3: so I think we should focus on the opportunities and 118 00:08:06,800 --> 00:08:12,080 Speaker 3: really rip these opportunities. But the risks are very significant 119 00:08:12,360 --> 00:08:15,000 Speaker 3: and they're potentially very very severe. 120 00:08:15,440 --> 00:08:17,640 Speaker 1: Aside from this information, and we're going to get back 121 00:08:17,680 --> 00:08:19,840 Speaker 1: to this, I do just want to ask you Christin Laguard, 122 00:08:19,880 --> 00:08:23,880 Speaker 1: your predecessor, was talking about Donald Trump on Thursday and 123 00:08:24,080 --> 00:08:27,560 Speaker 1: was saying that he is going to be really harmful 124 00:08:27,560 --> 00:08:30,160 Speaker 1: for Europe if he were to be elected again another. 125 00:08:31,520 --> 00:08:33,360 Speaker 2: Session of his Do you agree with that? 126 00:08:34,080 --> 00:08:36,760 Speaker 3: I think it is for the American people to decide 127 00:08:36,760 --> 00:08:41,920 Speaker 3: who is their president. When they decide, we would see 128 00:08:41,520 --> 00:08:45,040 Speaker 3: who that is for us. For the fund, what we 129 00:08:45,160 --> 00:08:47,880 Speaker 3: look at our policies, What are the policies that are 130 00:08:47,880 --> 00:08:50,520 Speaker 3: going to come, how they would affect the performance of 131 00:08:50,559 --> 00:08:53,160 Speaker 3: the US economy, how they would affect the performance of 132 00:08:53,200 --> 00:08:57,079 Speaker 3: the world economy. Uh, and when we look at the 133 00:08:57,320 --> 00:09:05,520 Speaker 3: likely policies, well, in terms of being more conscious about 134 00:09:05,920 --> 00:09:11,040 Speaker 3: the integrated global economy and how it benefits people everywhere, 135 00:09:11,600 --> 00:09:14,239 Speaker 3: there may be some serious concerns. 136 00:09:14,800 --> 00:09:19,320 Speaker 1: Do you think in general, some other technological advances are 137 00:09:19,360 --> 00:09:22,840 Speaker 1: sort of fostering some of this populism that we're seeing 138 00:09:22,880 --> 00:09:24,480 Speaker 1: grow up in a lot of political sectors. 139 00:09:25,520 --> 00:09:31,040 Speaker 3: Of course, when we first enjoyed social media, it was 140 00:09:31,080 --> 00:09:37,400 Speaker 3: such a boom. You get information instantaneously, and now we 141 00:09:37,440 --> 00:09:41,439 Speaker 3: see social media as a plus and a minus. 142 00:09:43,080 --> 00:09:43,679 Speaker 2: I am. 143 00:09:45,440 --> 00:09:51,200 Speaker 3: Very conscious of the fact that we have to allow 144 00:09:51,360 --> 00:09:56,280 Speaker 3: transparency and data to flow. But for God's sake, where 145 00:09:56,320 --> 00:10:00,520 Speaker 3: it is straight lie, we have to feigure out a 146 00:10:00,640 --> 00:10:02,800 Speaker 3: way to stop it. 147 00:10:02,920 --> 00:10:05,880 Speaker 2: And I and I don't don't think this is being. 148 00:10:06,640 --> 00:10:11,000 Speaker 3: Seriously addressed today, and artificial intelligence is going to make 149 00:10:11,040 --> 00:10:14,360 Speaker 3: it so much harder. I mean, artificial intelligence can take, 150 00:10:15,040 --> 00:10:21,400 Speaker 3: say me, create a little speech I give in which 151 00:10:21,559 --> 00:10:28,600 Speaker 3: I say I hate Bomber Bloomberg with my own voice voice. 152 00:10:28,200 --> 00:10:32,560 Speaker 2: And then here we go. I never ever all the homework, 153 00:10:33,480 --> 00:10:39,079 Speaker 2: but I just even minding it. So yes, it is. 154 00:10:39,200 --> 00:10:40,400 Speaker 2: It is very serious. 155 00:10:40,880 --> 00:10:44,640 Speaker 3: What we are seeing is there are some attempts to regulate, 156 00:10:45,640 --> 00:10:52,880 Speaker 3: protect privacy but address this straight lies problem, but so 157 00:10:53,000 --> 00:10:54,040 Speaker 3: far not so great. 158 00:10:54,320 --> 00:10:55,760 Speaker 2: To be quite frank. 159 00:10:55,840 --> 00:10:58,560 Speaker 1: There's a question just in general about some man populism 160 00:10:58,679 --> 00:11:02,080 Speaker 1: and whether that will help some of the economic projections 161 00:11:02,120 --> 00:11:04,920 Speaker 1: that you're looking for. Thenk in Argentina as one particular 162 00:11:05,120 --> 00:11:08,400 Speaker 1: nation that just elected a new president, have your Malay 163 00:11:08,600 --> 00:11:10,680 Speaker 1: who is thought to be a popular as president. Do 164 00:11:10,720 --> 00:11:12,720 Speaker 1: you think that his election makes it more or less 165 00:11:12,800 --> 00:11:15,080 Speaker 1: likely that they're going to repay. 166 00:11:14,760 --> 00:11:16,720 Speaker 2: You the forty five billion dollars they are you. 167 00:11:16,920 --> 00:11:25,880 Speaker 3: Okay, so far, so far, so good. They paid. They 168 00:11:26,480 --> 00:11:32,160 Speaker 3: got into office December eleventh, and they had payment on 169 00:11:32,240 --> 00:11:35,880 Speaker 3: December twenty first, they made the payment. We actually just 170 00:11:35,960 --> 00:11:41,280 Speaker 3: completed a staff level agreement because what this administration is 171 00:11:41,320 --> 00:11:47,600 Speaker 3: doing is to very aggressively address some of the shortcomings 172 00:11:47,840 --> 00:11:54,160 Speaker 3: we all see in Argentina. Fiscal out of wak you know, 173 00:11:54,240 --> 00:12:00,480 Speaker 3: spent more than you can afford, reserves wiped out. So 174 00:12:00,559 --> 00:12:04,200 Speaker 3: we are seeing progress on all these fronts. Of course, 175 00:12:04,600 --> 00:12:10,079 Speaker 3: what we also care deeply about is that us this administration. 176 00:12:09,600 --> 00:12:14,040 Speaker 2: Moves with very bolt reforms. 177 00:12:14,240 --> 00:12:17,520 Speaker 3: There is also protection for the most vulnerable people, and 178 00:12:17,559 --> 00:12:18,920 Speaker 3: we were very gratified. 179 00:12:19,040 --> 00:12:23,600 Speaker 2: In the staff level agreement there is specific reference to. 180 00:12:23,920 --> 00:12:29,080 Speaker 3: How the vulnerable Argentinians and this is forty percent of 181 00:12:29,080 --> 00:12:34,840 Speaker 3: the population, how they would be helped with child credits, 182 00:12:35,120 --> 00:12:41,679 Speaker 3: with foot stamps, with more targeted attention to where the 183 00:12:41,880 --> 00:12:43,439 Speaker 3: vulnerable population. 184 00:12:43,520 --> 00:12:47,200 Speaker 1: Is one area, perhaps on the other side of the extreme, 185 00:12:47,280 --> 00:12:48,840 Speaker 1: or maybe actually similar. 186 00:12:49,120 --> 00:12:49,600 Speaker 2: I'm wondering. 187 00:12:49,840 --> 00:12:53,439 Speaker 1: China has the biggest allegation here going back to twenty seventeen, 188 00:12:53,440 --> 00:12:56,360 Speaker 1: which is interesting given the sort of conflicting messages that 189 00:12:56,400 --> 00:12:59,160 Speaker 1: we've been getting about whether they want international business or 190 00:12:59,200 --> 00:13:03,199 Speaker 1: whether they don't. What's been a message you've gotten from them. 191 00:13:03,280 --> 00:13:06,400 Speaker 1: Are they more concerned now about sluggish growth or are 192 00:13:06,400 --> 00:13:09,200 Speaker 1: they still more concerned about some of the vision Paying's 193 00:13:09,880 --> 00:13:11,040 Speaker 1: policies and ideologies. 194 00:13:11,920 --> 00:13:14,840 Speaker 3: I have had a couple of engagements with the Prime Minister, 195 00:13:14,920 --> 00:13:19,000 Speaker 3: with Privacy le Chant, with the economic team, and what 196 00:13:19,080 --> 00:13:22,760 Speaker 3: I drew out of it two important messages. Number One, 197 00:13:23,200 --> 00:13:30,840 Speaker 3: China recognizes that unless they move forward with difficult structural reforms, 198 00:13:31,320 --> 00:13:37,000 Speaker 3: they will see growth dipping under four percent, and what 199 00:13:37,040 --> 00:13:42,439 Speaker 3: are these reforms? Opening cup, continuing with opening up state, 200 00:13:42,480 --> 00:13:47,240 Speaker 3: con the enterprises, addressing the local government that short term, 201 00:13:47,280 --> 00:13:50,240 Speaker 3: they had the issue of the real estate sector. So 202 00:13:50,280 --> 00:13:53,840 Speaker 3: that recognition that what has worked for them for forty 203 00:13:53,920 --> 00:13:58,920 Speaker 3: years is what is the answer to their problems today? 204 00:13:59,160 --> 00:13:59,640 Speaker 2: Is there? 205 00:14:00,160 --> 00:14:09,400 Speaker 3: And secondly, a very strong determination to stay engaged internationally. 206 00:14:10,480 --> 00:14:13,000 Speaker 3: And this is why you see this big plane landing here, 207 00:14:13,800 --> 00:14:20,080 Speaker 3: they felt a bit the supply chain revamping. They have 208 00:14:20,240 --> 00:14:24,920 Speaker 3: seen some outflow of capital and they take this seriously. 209 00:14:25,440 --> 00:14:28,760 Speaker 3: In China, the main objective for the network this year, 210 00:14:28,880 --> 00:14:31,120 Speaker 3: next year, the year after is to. 211 00:14:31,200 --> 00:14:35,400 Speaker 2: Shift their growth, first away. 212 00:14:35,120 --> 00:14:39,840 Speaker 3: From being so much export dependent to more consumption dependent, 213 00:14:39,960 --> 00:14:40,840 Speaker 3: and second. 214 00:14:40,960 --> 00:14:43,080 Speaker 2: Emphasize more the quality of growth. 215 00:14:43,200 --> 00:14:46,960 Speaker 3: At the time when this country is aging, they have 216 00:14:47,080 --> 00:14:48,440 Speaker 3: a demographic problem. 217 00:14:49,440 --> 00:14:52,760 Speaker 2: The easy way of growing by. 218 00:14:52,600 --> 00:14:56,840 Speaker 3: Getting people from rural areas going to urban areas pretty much, 219 00:14:57,720 --> 00:14:59,960 Speaker 3: if not exhausted, diminished. 220 00:15:00,120 --> 00:15:02,360 Speaker 2: So they have to they have to come up with 221 00:15:02,400 --> 00:15:02,920 Speaker 2: more reforms. 222 00:15:02,960 --> 00:15:05,920 Speaker 3: It's not going to be easy, and it would it 223 00:15:05,960 --> 00:15:13,320 Speaker 3: would require the country to stay in that lane. So 224 00:15:13,680 --> 00:15:17,840 Speaker 3: hopefully here we would get a sense how determined they 225 00:15:17,880 --> 00:15:19,080 Speaker 3: are to stay that lane. 226 00:15:19,120 --> 00:15:20,680 Speaker 2: We just have a minute left to night. I would 227 00:15:20,720 --> 00:15:22,040 Speaker 2: be vermiss if I didn't ask you. 228 00:15:22,520 --> 00:15:24,920 Speaker 1: Just I know you are putting your economic projection in 229 00:15:24,960 --> 00:15:28,280 Speaker 1: the next month or so. You previously had a two 230 00:15:28,320 --> 00:15:31,240 Speaker 1: point nine percent growth rate for twenty twenty four. 231 00:15:31,600 --> 00:15:33,120 Speaker 2: Is it looking higher or lower than that? 232 00:15:36,920 --> 00:15:41,800 Speaker 3: Let me say twenty three comes better than we expected 233 00:15:42,040 --> 00:15:46,680 Speaker 3: by a small margin. There is some wind coming from 234 00:15:46,800 --> 00:15:48,720 Speaker 3: twenty three into twenty four. 235 00:15:50,920 --> 00:15:54,640 Speaker 2: Stay put. End of January, you will see the. 236 00:15:56,440 --> 00:15:59,320 Speaker 1: Okay, well, I will just say this is the US 237 00:15:59,400 --> 00:16:01,000 Speaker 1: still heading soft lending? 238 00:16:01,240 --> 00:16:05,520 Speaker 2: Is that sill? Yes? Yes, poised for soft lending. 239 00:16:06,760 --> 00:16:12,680 Speaker 3: Interest rates are probably going to start going down, I 240 00:16:12,720 --> 00:16:16,680 Speaker 3: think later in the year, but definitely in twenty twenty four. 241 00:16:17,440 --> 00:16:20,040 Speaker 3: The only thing I want to say to everybody here 242 00:16:20,240 --> 00:16:24,920 Speaker 3: is expect the unexpected. We have learned from the last 243 00:16:24,920 --> 00:16:28,880 Speaker 3: couple of years that we make all our fancy plans 244 00:16:29,000 --> 00:16:33,000 Speaker 3: and then both comes to shock exolgant shock and changes 245 00:16:33,080 --> 00:16:36,080 Speaker 3: this six rate cards for the fact. 246 00:16:39,320 --> 00:16:40,240 Speaker 2: The fact is. 247 00:16:40,160 --> 00:16:45,560 Speaker 3: Going to be data depending, but it is true that 248 00:16:46,560 --> 00:16:49,960 Speaker 3: the world economy, and especially the US economy, has proven 249 00:16:50,000 --> 00:16:52,000 Speaker 3: to be remarkably resilient. 250 00:16:52,560 --> 00:16:53,800 Speaker 2: I want to finish where we. 251 00:16:53,800 --> 00:16:58,640 Speaker 3: Started though on the technological change, because I think we 252 00:16:58,680 --> 00:17:03,040 Speaker 3: are not yet integrating the speed of this change and 253 00:17:03,120 --> 00:17:06,439 Speaker 3: how much uncertainty there is of the impact, and we 254 00:17:06,520 --> 00:17:07,600 Speaker 3: have to focus on that. 255 00:17:08,760 --> 00:17:12,479 Speaker 2: I'll tell you a story. My granddaughter taught me a lesson. 256 00:17:14,640 --> 00:17:17,040 Speaker 3: I was telling her as a good grandmother, how when 257 00:17:17,080 --> 00:17:20,840 Speaker 3: I was her age five, there was no TV, there 258 00:17:20,840 --> 00:17:24,399 Speaker 3: were no computers. So she looked up at me and said, 259 00:17:24,720 --> 00:17:26,760 Speaker 3: so you only had iPads. 260 00:17:28,280 --> 00:17:29,800 Speaker 2: That is the speed of change. 261 00:17:30,400 --> 00:17:32,480 Speaker 1: It's a medicure game, and thank you so much for 262 00:17:32,600 --> 00:17:33,520 Speaker 1: being with us today.