1 00:00:02,920 --> 00:00:05,000 Speaker 1: Thomas Bubel is a CEO of Accent, one of the 2 00:00:05,000 --> 00:00:07,800 Speaker 1: world's largest insurance companies. I recently had a chance to 3 00:00:07,800 --> 00:00:10,040 Speaker 1: sit down with him to talk about the risk facing 4 00:00:10,039 --> 00:00:14,560 Speaker 1: global insurance, particularly relating to war and climate change. Explain 5 00:00:14,600 --> 00:00:17,040 Speaker 1: to people who aren't familiar with life insurance or health 6 00:00:17,040 --> 00:00:20,840 Speaker 1: insurance or any kind of insurance, what is the main business. 7 00:00:20,880 --> 00:00:24,040 Speaker 1: It's the underwrite, what the risk is, make a profit 8 00:00:24,079 --> 00:00:26,720 Speaker 1: presumably on the premiums you charge, and then take those 9 00:00:26,720 --> 00:00:29,360 Speaker 1: premiums and invest it and do well on the investment 10 00:00:29,400 --> 00:00:29,680 Speaker 1: as well. 11 00:00:29,800 --> 00:00:30,280 Speaker 2: Is that right? 12 00:00:30,520 --> 00:00:30,760 Speaker 3: Yes? 13 00:00:30,760 --> 00:00:32,599 Speaker 4: And plus we have to pay claims as well, So 14 00:00:32,920 --> 00:00:35,360 Speaker 4: we receive at the beginning of the year a premium, 15 00:00:35,600 --> 00:00:38,200 Speaker 4: we invest the premium, and then when the claim happened, 16 00:00:38,240 --> 00:00:41,320 Speaker 4: we have to then pay it out. And all of 17 00:00:41,360 --> 00:00:45,519 Speaker 4: that should be managed in a way that we protect 18 00:00:46,240 --> 00:00:48,640 Speaker 4: the number of people that we ensure and also make 19 00:00:48,680 --> 00:00:49,120 Speaker 4: a profit. 20 00:00:49,400 --> 00:00:52,800 Speaker 1: So on the premium that you charge. The underwriting risk 21 00:00:52,920 --> 00:00:55,280 Speaker 1: is very complicated. You have to assess what the risk 22 00:00:55,400 --> 00:00:58,320 Speaker 1: is that somebody will live or die or get an illness, 23 00:00:58,440 --> 00:01:01,040 Speaker 1: or a property will be damaged. Do you try to 24 00:01:01,080 --> 00:01:03,440 Speaker 1: make money on the underwriting or you try to break 25 00:01:03,480 --> 00:01:04,040 Speaker 1: even on that? 26 00:01:04,520 --> 00:01:06,360 Speaker 4: No, we have to make money on the underwriting because 27 00:01:06,360 --> 00:01:08,960 Speaker 4: obviously there's capital that needs to be put behind that business, 28 00:01:09,160 --> 00:01:11,640 Speaker 4: and also we have shareholders that want to return. So 29 00:01:11,720 --> 00:01:14,160 Speaker 4: what we basically look at we have a lot of 30 00:01:14,319 --> 00:01:18,080 Speaker 4: historic data that we can use to price a building 31 00:01:18,200 --> 00:01:21,039 Speaker 4: and then make sure that over the duration of a 32 00:01:21,080 --> 00:01:27,600 Speaker 4: contract we make sufficient money to remunerate our shareholders and 33 00:01:27,600 --> 00:01:28,640 Speaker 4: get remuneration. 34 00:01:28,280 --> 00:01:28,720 Speaker 3: For the risk. 35 00:01:28,800 --> 00:01:30,760 Speaker 1: What type of return do you try to get on 36 00:01:30,800 --> 00:01:33,039 Speaker 1: your investments? And do you have thousands of people to 37 00:01:33,120 --> 00:01:35,160 Speaker 1: invest the money and who does the investing? 38 00:01:35,680 --> 00:01:38,399 Speaker 4: So what we do is we are not speculators. We 39 00:01:38,520 --> 00:01:40,840 Speaker 4: very much look at what are our liabilities, and so 40 00:01:40,880 --> 00:01:44,240 Speaker 4: we invest in terms of duration exactly in the same 41 00:01:44,240 --> 00:01:47,320 Speaker 4: way that we would expect the liabilities to come, and 42 00:01:47,360 --> 00:01:51,280 Speaker 4: we mostly hold our assets to maturity. And therefore it 43 00:01:51,320 --> 00:01:55,040 Speaker 4: really depends what the liability looks like. This determines the 44 00:01:55,080 --> 00:01:59,480 Speaker 4: return you need, and the longer the liability, the higher 45 00:01:59,480 --> 00:01:59,919 Speaker 4: the return. 46 00:02:00,560 --> 00:02:03,360 Speaker 1: Now, Warren Buffett famously bought some life insurance. So I 47 00:02:03,400 --> 00:02:06,560 Speaker 1: guess reinsurance companies years ago. You bought General Ree and 48 00:02:06,600 --> 00:02:08,880 Speaker 1: he takes the premiums and he invested in and he 49 00:02:09,480 --> 00:02:11,880 Speaker 1: very good investor. Is that a model you use, which 50 00:02:11,919 --> 00:02:14,359 Speaker 1: is to go get really good investors that you give 51 00:02:14,400 --> 00:02:16,000 Speaker 1: money to and tell them to get a higher rate 52 00:02:16,000 --> 00:02:17,560 Speaker 1: of return than you would normally get if you're doing 53 00:02:17,600 --> 00:02:18,239 Speaker 1: it yourself. 54 00:02:18,560 --> 00:02:21,160 Speaker 4: Yes, I mean, we obviously need to split our assets 55 00:02:21,400 --> 00:02:24,560 Speaker 4: across many, many asset managers to make sure that we 56 00:02:24,639 --> 00:02:27,400 Speaker 4: have a high degree of diversification. We have a fullse 57 00:02:28,040 --> 00:02:30,480 Speaker 4: area of business which is the investment management. So we 58 00:02:30,520 --> 00:02:34,440 Speaker 4: have ACCE Investment Managers that has around seven hundred billion 59 00:02:34,480 --> 00:02:37,800 Speaker 4: of assets and we obviously invest a lot through them, 60 00:02:38,200 --> 00:02:42,120 Speaker 4: but we certainly also do a lot with external asset 61 00:02:42,120 --> 00:02:45,559 Speaker 4: managers to make sure that we play the market. 62 00:02:45,600 --> 00:02:46,720 Speaker 3: But also optimized it. 63 00:02:47,240 --> 00:02:49,720 Speaker 1: So in an era when we have high inflation, high 64 00:02:49,800 --> 00:02:52,280 Speaker 1: interest rates, what kind of rate of return do you 65 00:02:52,480 --> 00:02:54,640 Speaker 1: need to get to kind of be comfortable. You need 66 00:02:54,639 --> 00:02:57,360 Speaker 1: to get a seven, eight, nine, ten percent rate of 67 00:02:57,360 --> 00:03:00,160 Speaker 1: return or much higher than that to feel that you're 68 00:03:00,240 --> 00:03:01,880 Speaker 1: doing a good job investing the money that you have 69 00:03:01,919 --> 00:03:02,919 Speaker 1: from their premiums. 70 00:03:03,400 --> 00:03:06,440 Speaker 4: So again it depends on the liability profile. We always 71 00:03:06,520 --> 00:03:10,040 Speaker 4: look what is the division of the liability relative. 72 00:03:09,600 --> 00:03:11,320 Speaker 3: To how we need to invest. 73 00:03:11,360 --> 00:03:14,560 Speaker 4: But it's obviously clear now that in an environment like this, 74 00:03:15,000 --> 00:03:18,000 Speaker 4: we need to get much higher return than we used 75 00:03:18,080 --> 00:03:23,360 Speaker 4: to in a zero interest rate environment. And therefore the 76 00:03:23,560 --> 00:03:28,600 Speaker 4: insurer is a very slow moving investor. So we invest 77 00:03:28,639 --> 00:03:31,239 Speaker 4: around ten percent of our balance sheet every year, so 78 00:03:31,960 --> 00:03:34,720 Speaker 4: it is not that when market changes we immediately change 79 00:03:34,760 --> 00:03:37,040 Speaker 4: everything to change the return pattern. 80 00:03:37,120 --> 00:03:39,400 Speaker 1: So if I wanted to go in the insurance business myself, 81 00:03:39,680 --> 00:03:44,040 Speaker 1: would you recommend that I go into life insurance, automobile insurance, 82 00:03:44,080 --> 00:03:45,840 Speaker 1: health insurance, property. 83 00:03:45,480 --> 00:03:47,040 Speaker 2: And casual Which is the best business to go on? 84 00:03:47,200 --> 00:03:47,720 Speaker 2: Of those four? 85 00:03:48,080 --> 00:03:51,520 Speaker 4: I would say the property and casualty insurance for commercial 86 00:03:51,560 --> 00:03:54,520 Speaker 4: business and the health insurance. Why because those are two 87 00:03:54,560 --> 00:03:57,880 Speaker 4: business that are growing the most. On the property and 88 00:03:57,960 --> 00:04:02,760 Speaker 4: casualty for company, you've got all the new risks supply 89 00:04:02,880 --> 00:04:06,760 Speaker 4: chain risk, cyber risk, climate transition risk, and on the 90 00:04:06,880 --> 00:04:10,640 Speaker 4: health side the question a more longevity but higher healthth 91 00:04:10,680 --> 00:04:13,520 Speaker 4: cost and how can you help people to live a 92 00:04:13,520 --> 00:04:15,720 Speaker 4: better life. Those are the two areas I would recommend 93 00:04:15,760 --> 00:04:15,920 Speaker 4: to you. 94 00:04:16,040 --> 00:04:18,440 Speaker 1: The biggest risk in property and casualty is that now 95 00:04:18,640 --> 00:04:22,160 Speaker 1: climate change or climate are kind of things that are 96 00:04:22,200 --> 00:04:25,359 Speaker 1: changing the way that the Earth deals with weather and 97 00:04:25,440 --> 00:04:25,880 Speaker 1: things like that. 98 00:04:26,480 --> 00:04:30,039 Speaker 4: Yeah, so absolutely, when you look at natural catestrophes, the 99 00:04:30,120 --> 00:04:33,400 Speaker 4: number of events has significantly increased, and not only the 100 00:04:33,520 --> 00:04:36,240 Speaker 4: very big events like hurricanes, but also what we call 101 00:04:36,360 --> 00:04:42,120 Speaker 4: secondary parrots, so wildfires, floodings, and drought. And this leads 102 00:04:42,120 --> 00:04:44,560 Speaker 4: to the fact that you have far more events and 103 00:04:44,600 --> 00:04:47,960 Speaker 4: therefore a much higher cost of all of the natural catestrophes. 104 00:04:48,040 --> 00:04:50,280 Speaker 1: How do you really assess the risk of climate change, 105 00:04:50,279 --> 00:04:51,920 Speaker 1: because how can you possibly know whether they're going to 106 00:04:51,920 --> 00:04:54,520 Speaker 1: be a hurricane or a flood. It's just based on 107 00:04:54,560 --> 00:04:57,159 Speaker 1: the past or the projection of the future. How do 108 00:04:57,200 --> 00:04:57,640 Speaker 1: you do that? 109 00:04:58,279 --> 00:05:00,480 Speaker 4: So essentially we use data from the past, but as 110 00:05:00,520 --> 00:05:03,080 Speaker 4: you say, since the dynamic has changed, we need to 111 00:05:03,120 --> 00:05:05,320 Speaker 4: also look forward. And what we do a lot. We 112 00:05:05,360 --> 00:05:09,480 Speaker 4: work a lot with scientists who understand what the warming 113 00:05:09,520 --> 00:05:12,599 Speaker 4: of the earth and climate change will mean for the 114 00:05:12,680 --> 00:05:15,799 Speaker 4: question of taking risk. And secondly, we take much less 115 00:05:15,880 --> 00:05:18,080 Speaker 4: risk than we used to take because we have to 116 00:05:18,120 --> 00:05:18,600 Speaker 4: be careful. 117 00:05:18,760 --> 00:05:20,920 Speaker 1: So let's suppose there are a lot of hurricanes. Is 118 00:05:20,960 --> 00:05:24,039 Speaker 1: that good for property and casualty insurance? Or not good 119 00:05:24,080 --> 00:05:26,120 Speaker 1: because people say, well, there's going to be more hurricanes, 120 00:05:26,160 --> 00:05:28,240 Speaker 1: I al should buy more insurance or not good because 121 00:05:28,240 --> 00:05:29,400 Speaker 1: you got to pay a lot of claims. 122 00:05:29,640 --> 00:05:30,320 Speaker 3: It depends. 123 00:05:30,839 --> 00:05:34,240 Speaker 4: I would say it's good because I mean a it 124 00:05:34,320 --> 00:05:36,440 Speaker 4: creates the awareness to do more prevention. 125 00:05:36,560 --> 00:05:37,200 Speaker 3: What we see. 126 00:05:37,120 --> 00:05:40,279 Speaker 4: Today is that, as I said earlier, there is more events, 127 00:05:40,880 --> 00:05:44,400 Speaker 4: it becomes more and more difficult to ensure, and therefore 128 00:05:44,760 --> 00:05:47,599 Speaker 4: we work a lot with our customers around preventions. And 129 00:05:47,680 --> 00:05:51,640 Speaker 4: so if you look at the large hurricanes, Hurricane Katrina 130 00:05:51,680 --> 00:05:55,080 Speaker 4: and Hurricane Irma, for example, they're about fifteen years apart, 131 00:05:55,760 --> 00:05:59,000 Speaker 4: costs have actually come down over time despite inflation. 132 00:05:59,120 --> 00:06:00,960 Speaker 3: So prevention does work. 133 00:06:01,279 --> 00:06:03,479 Speaker 1: Let's stop talk about another type of insurance, which is 134 00:06:03,520 --> 00:06:06,200 Speaker 1: life insurance. Are you better off if people live a 135 00:06:06,200 --> 00:06:08,480 Speaker 1: long time so they don't claim their life insurance, or 136 00:06:08,520 --> 00:06:10,159 Speaker 1: you're better off that they die sooner. 137 00:06:10,839 --> 00:06:12,440 Speaker 3: It always depends. 138 00:06:12,480 --> 00:06:16,960 Speaker 4: So dying sooner is mostly better because if people live longer, 139 00:06:17,000 --> 00:06:19,520 Speaker 4: you have the longevity risk and you never know how 140 00:06:19,560 --> 00:06:23,000 Speaker 4: long people live, but that really depends country by country. 141 00:06:23,320 --> 00:06:29,599 Speaker 4: We have certainly made the choice of being relatively cautious 142 00:06:29,640 --> 00:06:32,520 Speaker 4: around life insurance. We used to be eighty percent in 143 00:06:32,560 --> 00:06:34,599 Speaker 4: life insurance in our whole portfolio. 144 00:06:34,720 --> 00:06:36,520 Speaker 3: We are now twenty percent in life insurance. 145 00:06:36,560 --> 00:06:40,440 Speaker 4: Because life insurance is very much financial risk, which is 146 00:06:40,480 --> 00:06:45,919 Speaker 4: not diversifying. And secondly, it is very much linked to 147 00:06:46,560 --> 00:06:51,280 Speaker 4: a high degree of regulation which makes the business very, 148 00:06:51,320 --> 00:06:51,880 Speaker 4: very difficult. 149 00:06:51,960 --> 00:06:54,320 Speaker 1: Let's talk about health insurance or third type of insurance. 150 00:06:54,600 --> 00:06:56,919 Speaker 1: So there's a lot of obesity going on in the 151 00:06:56,920 --> 00:06:59,960 Speaker 1: Western world, a lot of drug abuse in the Western world. 152 00:07:00,200 --> 00:07:02,920 Speaker 1: Do you take that into account when you sell health insurance? 153 00:07:03,320 --> 00:07:05,200 Speaker 4: Yes, obviously, I mean you have to give you a BMI, 154 00:07:05,320 --> 00:07:09,279 Speaker 4: which is then the proxy around the question how it 155 00:07:09,360 --> 00:07:13,360 Speaker 4: bees are you or not? But even for example this area, 156 00:07:13,640 --> 00:07:15,800 Speaker 4: we are at the beginning of quite a big revolution. 157 00:07:15,880 --> 00:07:18,840 Speaker 4: If you look at all the new drugs like ozembic 158 00:07:18,920 --> 00:07:23,480 Speaker 4: and others, they could change the pattern of obesity significantly 159 00:07:23,520 --> 00:07:26,280 Speaker 4: going forward, which is actually an exciting journey to go on. 160 00:07:26,760 --> 00:07:29,360 Speaker 1: So the United States has a complicated healthcare program. I 161 00:07:29,400 --> 00:07:31,480 Speaker 1: don't know how it works in Europe, but is our 162 00:07:31,600 --> 00:07:35,200 Speaker 1: program the United States? Some call it Obamacare Affordable Care Act. 163 00:07:35,440 --> 00:07:40,000 Speaker 1: Is that program better or worse for health insurance than 164 00:07:40,040 --> 00:07:41,360 Speaker 1: whatever you have in Europe? 165 00:07:42,600 --> 00:07:45,920 Speaker 4: Both have the same issue, which is a demographic issue. 166 00:07:45,920 --> 00:07:48,000 Speaker 4: If you look, for example, in the US, I think 167 00:07:48,040 --> 00:07:53,080 Speaker 4: about ten to fifteen years ago, about twenty percent of 168 00:07:53,320 --> 00:07:57,560 Speaker 4: the federal budgets and fiscal budgets were related to welfare. 169 00:07:57,760 --> 00:08:00,440 Speaker 4: Today we are at thirty nine percent to the fact 170 00:08:00,440 --> 00:08:03,040 Speaker 4: that people are getting older. You see exactly the same 171 00:08:03,040 --> 00:08:07,040 Speaker 4: pattern in Europe, So the question around public or more 172 00:08:07,160 --> 00:08:10,760 Speaker 4: public type health system will come on the table and 173 00:08:10,840 --> 00:08:12,080 Speaker 4: new solutions will be needed. 174 00:08:12,280 --> 00:08:16,680 Speaker 1: Now, maybe unfairly, but insurance companies have a reputation for saying, well, 175 00:08:16,720 --> 00:08:19,560 Speaker 1: we'll show you insurance, but when the claim comes they say, well, 176 00:08:19,560 --> 00:08:22,280 Speaker 1: maybe it's not so as much damage as you claim 177 00:08:22,560 --> 00:08:24,800 Speaker 1: and they take a long time to pay out. Is 178 00:08:24,840 --> 00:08:28,240 Speaker 1: that a fair portrayal of the way some insurance companies 179 00:08:28,240 --> 00:08:29,800 Speaker 1: are and how do you deal with that image? 180 00:08:30,240 --> 00:08:33,320 Speaker 4: So when I joined the insurance industry in two thousand 181 00:08:33,360 --> 00:08:36,800 Speaker 4: and five, this image was already there, and I would 182 00:08:36,800 --> 00:08:39,800 Speaker 4: say at the time it was also justified in a 183 00:08:39,880 --> 00:08:44,319 Speaker 4: to a certain degree because we were not enough engaged to. 184 00:08:44,440 --> 00:08:48,080 Speaker 3: Work really for the border society. We were still very bureaucratic. 185 00:08:48,480 --> 00:08:51,760 Speaker 4: If you're fast forward now twenty almost twenty years forward, 186 00:08:51,920 --> 00:08:55,040 Speaker 4: this is not the case anymore. We are extremely engaged 187 00:08:55,320 --> 00:08:58,840 Speaker 4: in society. Take the topic of climate change, take the 188 00:08:58,880 --> 00:09:03,120 Speaker 4: topic of on socially include and we have significantly changed 189 00:09:03,720 --> 00:09:06,160 Speaker 4: the whole customer service. So most of it today is 190 00:09:06,280 --> 00:09:10,920 Speaker 4: very digital and it's much easier both in the administration 191 00:09:11,040 --> 00:09:11,959 Speaker 4: and the claims management. 192 00:09:12,040 --> 00:09:14,959 Speaker 1: So let's talk about your background for a moment. Where 193 00:09:15,000 --> 00:09:16,840 Speaker 1: are you from originally? Where were you born? 194 00:09:17,040 --> 00:09:18,040 Speaker 3: I was born in Germany. 195 00:09:18,200 --> 00:09:19,200 Speaker 2: Where did you go to school? 196 00:09:19,760 --> 00:09:23,199 Speaker 4: I went to school near Disseldof in Germany and did 197 00:09:23,320 --> 00:09:25,120 Speaker 4: all my childhood in Germany. 198 00:09:25,360 --> 00:09:28,040 Speaker 1: And you were a German speaker, I assume yes. Did 199 00:09:28,040 --> 00:09:30,960 Speaker 1: you speak French as well? As a young I learned? 200 00:09:31,640 --> 00:09:34,400 Speaker 4: I learned French in school. It was my third language. 201 00:09:34,440 --> 00:09:38,199 Speaker 4: So I did Latin English and then French. And at 202 00:09:38,200 --> 00:09:40,680 Speaker 4: the time I didn't know how valuable it would be 203 00:09:40,760 --> 00:09:41,680 Speaker 4: that I learned French. 204 00:09:42,120 --> 00:09:44,199 Speaker 1: Now, in the United States, you often hear people saying 205 00:09:44,240 --> 00:09:46,160 Speaker 1: I want my little boy to grow up to be 206 00:09:47,120 --> 00:09:50,600 Speaker 1: an investor. They wanted to be a doctor or a lawyer. 207 00:09:50,880 --> 00:09:52,800 Speaker 1: You never hear people saying, I want my little boy 208 00:09:52,800 --> 00:09:55,240 Speaker 1: to grow up to be an insurance person. So how 209 00:09:55,240 --> 00:09:56,800 Speaker 1: did you grow up to be an insurance person? Your 210 00:09:56,800 --> 00:09:58,760 Speaker 1: parents tell you to be an insurance world. 211 00:09:58,760 --> 00:10:01,600 Speaker 4: No, not at all when I studied. So after I 212 00:10:01,640 --> 00:10:04,840 Speaker 4: finished my studies, I wasn't really ready to decide in 213 00:10:04,880 --> 00:10:08,280 Speaker 4: which industry I went, and so I went into consulting 214 00:10:08,600 --> 00:10:12,119 Speaker 4: to prolong a little bit. The journey and test certain industries. 215 00:10:12,200 --> 00:10:16,040 Speaker 4: And so during that consulting time I did amazing projects. 216 00:10:16,480 --> 00:10:18,160 Speaker 3: Somewhere in insurance. 217 00:10:18,240 --> 00:10:22,440 Speaker 4: Other were in women's underwear, other were in IT distribution. 218 00:10:22,559 --> 00:10:26,400 Speaker 4: So I saw very different sectors, and I really liked 219 00:10:26,440 --> 00:10:29,880 Speaker 4: the insurance sector at the time because I saw exactly 220 00:10:29,920 --> 00:10:32,640 Speaker 4: what you mentioned earlier, that there is an industry that 221 00:10:32,800 --> 00:10:37,640 Speaker 4: is deeply rooted in society because we are basically promoting 222 00:10:37,679 --> 00:10:41,840 Speaker 4: and ensuring social cohesion. Yet the industry was not recognized 223 00:10:41,840 --> 00:10:45,680 Speaker 4: for it. It was that question around a very bureaucratic industry, 224 00:10:45,720 --> 00:10:48,960 Speaker 4: and at the time I wanted to make a difference 225 00:10:49,040 --> 00:10:50,559 Speaker 4: and wanted to go in there. 226 00:10:50,760 --> 00:10:54,240 Speaker 2: So right before you joined the Action, you were working where. 227 00:10:54,240 --> 00:10:55,760 Speaker 3: I worked for Boston Consulting. 228 00:10:55,840 --> 00:10:56,080 Speaker 2: Okay. 229 00:10:56,360 --> 00:11:00,000 Speaker 4: Then went to winter To Insurance, which was bought by Access. 230 00:11:00,000 --> 00:11:02,320 Speaker 4: Second signature I had to give was the NDA of 231 00:11:02,360 --> 00:11:06,880 Speaker 4: the AXA deal. Then I went and ran Zoich Insurance 232 00:11:06,880 --> 00:11:11,320 Speaker 4: in Switzerland and then back to Accell to run Germany 233 00:11:11,880 --> 00:11:12,439 Speaker 4: for Exile. 234 00:11:12,559 --> 00:11:16,920 Speaker 1: You've been the CEO since twenty sixteen and the stock 235 00:11:17,080 --> 00:11:19,559 Speaker 1: is up about sixty percent since that time. 236 00:11:19,880 --> 00:11:20,720 Speaker 3: I think it's a little more. 237 00:11:20,760 --> 00:11:24,480 Speaker 4: I started more than sixty percent sixteen euros and today 238 00:11:24,520 --> 00:11:25,679 Speaker 4: it closed at thirty. 239 00:11:25,400 --> 00:11:29,640 Speaker 1: One okay, and the market capitalization is up almost an 240 00:11:29,640 --> 00:11:30,320 Speaker 1: equivalent amount. 241 00:11:30,360 --> 00:11:32,520 Speaker 3: Yeah, exactly, Yeah, we are about seventy one billion dollars. 242 00:11:32,880 --> 00:11:35,680 Speaker 1: Now, France is a wonderful country and they have a 243 00:11:35,679 --> 00:11:38,800 Speaker 1: lot of great companies. Usually they're headed by people that 244 00:11:38,840 --> 00:11:42,520 Speaker 1: are born in France. So how did a German get 245 00:11:42,520 --> 00:11:45,200 Speaker 1: to be the head of a French major company? 246 00:11:45,440 --> 00:11:47,000 Speaker 3: You have to ask my board of directors. 247 00:11:47,080 --> 00:11:51,600 Speaker 4: Now, essentially, I mean we the board ran a process. 248 00:11:52,200 --> 00:11:54,679 Speaker 4: They first looked at extra candidates. They then looked at 249 00:11:54,840 --> 00:11:57,440 Speaker 4: internal candidates. We I think if a member correctly, were 250 00:11:57,720 --> 00:12:01,320 Speaker 4: seven internal candidates, and then over time the process took 251 00:12:01,320 --> 00:12:04,719 Speaker 4: three years, they eliminated and we were just at the 252 00:12:04,800 --> 00:12:08,120 Speaker 4: end of the day two left, one French person and me. 253 00:12:08,640 --> 00:12:12,960 Speaker 4: And then the board looked at essentially three criteria which 254 00:12:13,040 --> 00:12:16,320 Speaker 4: was very much away from nationality. One was track record 255 00:12:16,720 --> 00:12:20,120 Speaker 4: within AXA, the other one was what is the value 256 00:12:20,160 --> 00:12:22,560 Speaker 4: set of the person? And the third one what is 257 00:12:22,600 --> 00:12:25,520 Speaker 4: the capacity of the person to reinvent him or herself. 258 00:12:26,240 --> 00:12:29,600 Speaker 1: So in many cases the large French companies, the largest 259 00:12:29,600 --> 00:12:34,280 Speaker 1: ones are run by French people, typically men who have 260 00:12:34,440 --> 00:12:37,080 Speaker 1: gone to the so called elit power schools. But you 261 00:12:37,120 --> 00:12:38,800 Speaker 1: didn't go to one of those schools. So does that 262 00:12:38,920 --> 00:12:41,040 Speaker 1: mean you're an outsider a bit in the French business 263 00:12:41,120 --> 00:12:43,720 Speaker 1: establishment or you've been able to work your way in. 264 00:12:44,040 --> 00:12:46,240 Speaker 3: I've been able to work my way in. But that 265 00:12:46,600 --> 00:12:47,520 Speaker 3: needed two things. 266 00:12:47,600 --> 00:12:52,040 Speaker 4: One the curiosity of the French CEOs in me, but 267 00:12:52,160 --> 00:12:56,280 Speaker 4: also my ability to then fully dive into it. And 268 00:12:56,320 --> 00:13:00,520 Speaker 4: so what I did, for example, with my woundimentary French 269 00:13:00,760 --> 00:13:03,600 Speaker 4: knowledge that I had from school and studying, I only 270 00:13:03,640 --> 00:13:05,840 Speaker 4: spoke French the whole day to make sure that this 271 00:13:05,880 --> 00:13:10,600 Speaker 4: would work, and I integrated myself wherever I could. This 272 00:13:10,960 --> 00:13:13,240 Speaker 4: point around the university is actually a very good one, 273 00:13:13,280 --> 00:13:17,480 Speaker 4: because in France you compare the very good schools with 274 00:13:17,840 --> 00:13:21,200 Speaker 4: less good schools. I was neutral because I came from 275 00:13:21,200 --> 00:13:25,000 Speaker 4: a university that nobody knew, so I wasn't placeable in 276 00:13:25,040 --> 00:13:26,280 Speaker 4: the hierarchy of universities. 277 00:13:26,320 --> 00:13:29,640 Speaker 1: When you're conducting business in the actually headquarters, do you 278 00:13:29,679 --> 00:13:32,160 Speaker 1: speak French or do you speak English or German? 279 00:13:32,280 --> 00:13:34,080 Speaker 3: Or what I speak? No German. 280 00:13:34,640 --> 00:13:37,720 Speaker 4: And obviously whenever there is a person in the room 281 00:13:37,760 --> 00:13:40,679 Speaker 4: that cannot speak French, we only speak English. 282 00:13:40,679 --> 00:13:42,600 Speaker 3: But I still do. 283 00:13:42,520 --> 00:13:44,720 Speaker 4: As many of my meetings as I can in French 284 00:13:45,080 --> 00:13:46,920 Speaker 4: if it's possible. 285 00:13:46,840 --> 00:13:50,200 Speaker 1: And your business is a global business, what is the 286 00:13:50,200 --> 00:13:53,240 Speaker 1: biggest place where you have the most people. Is that 287 00:13:53,360 --> 00:13:55,920 Speaker 1: France or Europe or United States? 288 00:13:55,960 --> 00:13:56,439 Speaker 3: It's Europe. 289 00:13:56,480 --> 00:13:59,160 Speaker 4: So essentially we have about twenty percent of the business 290 00:13:59,200 --> 00:14:03,480 Speaker 4: in France, forty percent of the business in Europe, twenty 291 00:14:03,480 --> 00:14:05,800 Speaker 4: percent in the US, and then twenty percent Asia. 292 00:14:05,880 --> 00:14:09,199 Speaker 1: And any interesting growing your business by making an acquisition 293 00:14:09,440 --> 00:14:10,880 Speaker 1: or doing something like that. 294 00:14:11,080 --> 00:14:13,640 Speaker 4: Yeah, I mean we have done quite a few acquisitions. 295 00:14:13,679 --> 00:14:16,360 Speaker 4: As I said earlier, I started with eighty percent life 296 00:14:16,360 --> 00:14:19,440 Speaker 4: insurance and we are now at twenty percent life insurance, 297 00:14:19,720 --> 00:14:22,520 Speaker 4: having kept the same revenue, which meant that we had 298 00:14:22,560 --> 00:14:22,800 Speaker 4: to do a. 299 00:14:22,840 --> 00:14:23,560 Speaker 3: Lot of transactions. 300 00:14:23,680 --> 00:14:27,239 Speaker 4: For example, the company you mentioned earlier, Equitable, we ipo'd 301 00:14:27,280 --> 00:14:30,800 Speaker 4: in the US. We bought XXL in the US, so 302 00:14:30,840 --> 00:14:34,000 Speaker 4: we did transactions probably in the area of about thirty 303 00:14:34,000 --> 00:14:34,800 Speaker 4: billion Europe. 304 00:14:35,280 --> 00:14:38,560 Speaker 1: Now, as the CEO of a company does, do the 305 00:14:38,680 --> 00:14:41,080 Speaker 1: insurance people come to you and say we have a 306 00:14:41,120 --> 00:14:43,280 Speaker 1: big risk here, we're going to underwrite or do they 307 00:14:43,360 --> 00:14:45,360 Speaker 1: leave you out of the underwriting business. 308 00:14:45,760 --> 00:14:48,200 Speaker 4: It always depends on what size of us you talk. 309 00:14:48,640 --> 00:14:52,080 Speaker 4: Normally they are doing their own business. So we have 310 00:14:52,200 --> 00:14:57,600 Speaker 4: a clear grid of competence for underwriting, and about ninety 311 00:14:57,680 --> 00:15:01,000 Speaker 4: nine percent of all risks is done in the entities, 312 00:15:01,080 --> 00:15:03,240 Speaker 4: and so it should be. But yeah, there are some 313 00:15:03,440 --> 00:15:05,480 Speaker 4: risks that come to me where I have to take it. 314 00:15:05,960 --> 00:15:08,760 Speaker 1: So let's suppose I'm in business school and I say 315 00:15:08,760 --> 00:15:11,040 Speaker 1: I want to go in the business world. Why would 316 00:15:11,040 --> 00:15:12,680 Speaker 1: I want to go into the insurance world. 317 00:15:12,800 --> 00:15:15,560 Speaker 4: So interestingly, we actually get quite a few young people 318 00:15:15,880 --> 00:15:19,120 Speaker 4: today in the business and when you ask them why 319 00:15:19,160 --> 00:15:22,040 Speaker 4: are they in the business, the number one reason they 320 00:15:22,080 --> 00:15:26,160 Speaker 4: always say is the purpose of insurance, because insurance companies 321 00:15:26,320 --> 00:15:31,600 Speaker 4: do protect individuals, but they also help society to develop, 322 00:15:32,120 --> 00:15:35,200 Speaker 4: and so that's the number one driver while people are there. Second, 323 00:15:35,560 --> 00:15:38,640 Speaker 4: we have a lot of people that have analytical background, 324 00:15:38,960 --> 00:15:42,360 Speaker 4: so people that love data, and obviously our industry is 325 00:15:42,440 --> 00:15:46,920 Speaker 4: data rich. With the revolution and wave of AI coming, 326 00:15:47,640 --> 00:15:51,160 Speaker 4: we now have the ability to also analyze unstructured data, 327 00:15:51,480 --> 00:15:54,520 Speaker 4: which would broaden this much more. And so those are 328 00:15:54,680 --> 00:15:57,120 Speaker 4: the two areas why you have a lot of talent 329 00:15:57,160 --> 00:15:58,320 Speaker 4: actually coming in our industry. 330 00:15:58,480 --> 00:16:00,760 Speaker 1: In the United States, people i'd say, well, you're a 331 00:16:00,800 --> 00:16:04,480 Speaker 1: really attractive business person, why don't you go in the government. 332 00:16:04,520 --> 00:16:06,240 Speaker 1: You might be a cabinet officer, or something you have 333 00:16:06,280 --> 00:16:08,600 Speaker 1: any interest in that or in France you can't quite 334 00:16:08,640 --> 00:16:09,280 Speaker 1: do it that way. 335 00:16:10,080 --> 00:16:12,800 Speaker 4: So obviously, in our job you have a lot of 336 00:16:12,920 --> 00:16:16,920 Speaker 4: links into politics because you know, when you touch sourcial 337 00:16:17,000 --> 00:16:20,239 Speaker 4: security systems, when you touch the question around natural catastrophes, 338 00:16:20,800 --> 00:16:24,040 Speaker 4: when you're the biggest instruer of satellites, then you always 339 00:16:24,120 --> 00:16:29,040 Speaker 4: have ties into government. And obviously part of my job 340 00:16:29,400 --> 00:16:32,120 Speaker 4: is also then to be in. 341 00:16:32,000 --> 00:16:33,680 Speaker 3: That spare and help where I can. 342 00:16:34,480 --> 00:16:37,320 Speaker 4: Does it entice me to switch over to a political 343 00:16:37,360 --> 00:16:38,760 Speaker 4: career The answer is no. 344 00:16:38,760 --> 00:16:42,240 Speaker 1: So today, do you have any aspirations to do something 345 00:16:42,280 --> 00:16:44,280 Speaker 1: beyond what you're doing. You're not going to go in 346 00:16:44,280 --> 00:16:47,880 Speaker 1: the government, you said, go into philanthropy at some point. No. 347 00:16:47,920 --> 00:16:49,800 Speaker 4: I mean, look, I've been in my job for eight years. 348 00:16:50,080 --> 00:16:52,600 Speaker 4: I have a lot of fun in the job, and 349 00:16:52,640 --> 00:16:54,520 Speaker 4: there is also still a lot to be done, so 350 00:16:55,240 --> 00:16:57,360 Speaker 4: I will continue on my journey. I will not be 351 00:16:57,400 --> 00:17:01,720 Speaker 4: seduced by politics. And when you think about philanthropy, we 352 00:17:01,840 --> 00:17:04,600 Speaker 4: do a lot of philanthropy also in Acceillentle for example, 353 00:17:04,640 --> 00:17:11,080 Speaker 4: go running for money that we then donate to charitable institutions. 354 00:17:11,240 --> 00:17:14,119 Speaker 4: We do a lot as well on the art site 355 00:17:14,160 --> 00:17:18,040 Speaker 4: and helping artists and helping restoration of art in France 356 00:17:18,280 --> 00:17:21,120 Speaker 4: and otherwise, so you can do a lot while being 357 00:17:21,160 --> 00:17:21,880 Speaker 4: a company CEO. 358 00:17:22,040 --> 00:17:23,600 Speaker 2: Okay, let's talk about the economy. 359 00:17:24,240 --> 00:17:28,360 Speaker 1: The United States has a situation where we have reasonably 360 00:17:28,359 --> 00:17:31,000 Speaker 1: good growth in twenty twenty three over three percent. 361 00:17:31,640 --> 00:17:33,479 Speaker 2: Europe has not grown quite as well. 362 00:17:33,560 --> 00:17:35,320 Speaker 1: Why do you think the United States seems to be 363 00:17:35,359 --> 00:17:38,800 Speaker 1: pulling away from the European and Chinese economies in terms 364 00:17:38,840 --> 00:17:41,719 Speaker 1: of our growth? Is it something about the American business 365 00:17:41,840 --> 00:17:44,680 Speaker 1: environment that the United States has recovered from COVID maybe 366 00:17:44,760 --> 00:17:48,879 Speaker 1: better than Europe did or China did so. 367 00:17:48,920 --> 00:17:51,960 Speaker 4: I think it's a couple efectors. Number one is fiscal stimulus. 368 00:17:52,040 --> 00:17:54,840 Speaker 4: The fiscal stimulus in the US was much higher than 369 00:17:54,880 --> 00:17:57,439 Speaker 4: it was in Europe, and obviously fiscal stimulus leads to 370 00:17:57,560 --> 00:18:02,400 Speaker 4: more demand. Secondly, there is a lot of unshoring happening 371 00:18:02,520 --> 00:18:06,440 Speaker 4: or reshoring happening from somewhere else into the US, which 372 00:18:06,440 --> 00:18:09,399 Speaker 4: is obviously something that creates growth as well. And then 373 00:18:09,440 --> 00:18:12,720 Speaker 4: certainly when you look at your demography, this is much 374 00:18:12,800 --> 00:18:14,760 Speaker 4: healthier than what we have in Europe. 375 00:18:15,080 --> 00:18:18,280 Speaker 1: Recently, we've had high interest rates and high inflation. I 376 00:18:18,359 --> 00:18:20,720 Speaker 1: assume you've got through that reasonably well. But now we're 377 00:18:20,720 --> 00:18:22,520 Speaker 1: going to go into an era where interest rates are 378 00:18:22,520 --> 00:18:24,840 Speaker 1: probably going to come down and inflation seems to be 379 00:18:24,880 --> 00:18:27,719 Speaker 1: coming down. How are you going to reposition your company 380 00:18:27,720 --> 00:18:30,320 Speaker 1: and deal with that different economic consequence. 381 00:18:31,119 --> 00:18:37,320 Speaker 4: Obviously, these changes produce a high volatility of the economic environment, 382 00:18:37,600 --> 00:18:40,480 Speaker 4: and certainly we spoke earlier about the geopolitical environment. So 383 00:18:41,119 --> 00:18:45,520 Speaker 4: in a highly volatile and highly unpredictable environment, it is 384 00:18:45,600 --> 00:18:49,879 Speaker 4: important to take a strategy of low risk. And so 385 00:18:50,000 --> 00:18:52,240 Speaker 4: essentially what we have said, we have built now our 386 00:18:52,320 --> 00:18:55,160 Speaker 4: platform that is working very well. We are the biggest 387 00:18:55,200 --> 00:18:58,800 Speaker 4: insurance now of enterprises across the world. 388 00:18:59,040 --> 00:19:00,560 Speaker 3: We are one of the biggest in Europe. 389 00:19:00,640 --> 00:19:03,320 Speaker 4: We want to make sure that we scale up this 390 00:19:03,440 --> 00:19:05,160 Speaker 4: business more in the next phase. 391 00:19:05,359 --> 00:19:08,640 Speaker 1: Do you worry about Russia Ukraine as a potential insurance risk? 392 00:19:09,480 --> 00:19:11,639 Speaker 4: I mean, we worry a lot about these risks because 393 00:19:11,760 --> 00:19:15,800 Speaker 4: a these risks do create claims, and so the Russia 394 00:19:15,880 --> 00:19:18,840 Speaker 4: Ukraine situation did create a lot of claims on the 395 00:19:18,840 --> 00:19:22,320 Speaker 4: political risk side, on the marine side, on the aviation side, 396 00:19:23,160 --> 00:19:26,560 Speaker 4: and so for us it's important to look out for 397 00:19:26,640 --> 00:19:29,320 Speaker 4: them and certainly are to see where the next crisis 398 00:19:29,320 --> 00:19:33,159 Speaker 4: come from, because even if the Ukraine Russia crisis was 399 00:19:33,280 --> 00:19:36,320 Speaker 4: to be resolved, I'm sure the next crisis coming. Look 400 00:19:36,320 --> 00:19:38,440 Speaker 4: at what is happening in the Red Sea now, which 401 00:19:38,440 --> 00:19:44,280 Speaker 4: again has massive implications around maritime transport work, cover for 402 00:19:44,400 --> 00:19:46,520 Speaker 4: maritime transport, supply. 403 00:19:46,280 --> 00:19:47,159 Speaker 3: Chain risk and so on. 404 00:19:47,280 --> 00:19:51,320 Speaker 4: So I project myself in a world now in which 405 00:19:51,400 --> 00:19:54,359 Speaker 4: we see many many more of these crisis happening and 406 00:19:54,720 --> 00:19:55,560 Speaker 4: we need to deal with it. 407 00:19:55,840 --> 00:19:58,679 Speaker 1: How has technology changed the insurance business and how do 408 00:19:58,720 --> 00:20:01,399 Speaker 1: you expect AI will change the insurance business? 409 00:20:01,680 --> 00:20:03,000 Speaker 3: So I would say three phases. 410 00:20:03,080 --> 00:20:07,440 Speaker 4: Number one, technology has changed our industry so in order 411 00:20:07,480 --> 00:20:10,520 Speaker 4: to handle large data sets, to do analysis, to also 412 00:20:10,560 --> 00:20:15,560 Speaker 4: simplify the customer service and also the customer expertise, so 413 00:20:15,600 --> 00:20:17,960 Speaker 4: that I would say is done. We now have AI 414 00:20:18,080 --> 00:20:21,680 Speaker 4: coming in where I said earlier, making sure that we 415 00:20:21,800 --> 00:20:24,880 Speaker 4: use the unstructured data that we have and a lot 416 00:20:24,880 --> 00:20:28,359 Speaker 4: of our data is unstructured, is really beneficiary to really 417 00:20:28,440 --> 00:20:30,919 Speaker 4: understand risk more. And then I think there is a 418 00:20:31,000 --> 00:20:35,280 Speaker 4: third element I mentioned earlier, the topic around prevention. This 419 00:20:35,440 --> 00:20:40,520 Speaker 4: is very much happening today through digital services. Example, when 420 00:20:40,560 --> 00:20:45,439 Speaker 4: we look at how to analyze the risk of a 421 00:20:45,720 --> 00:20:49,840 Speaker 4: property relative to climate risk, we use a lot of 422 00:20:49,920 --> 00:20:52,800 Speaker 4: satellite data. Or if we want to ensure a marine 423 00:20:52,800 --> 00:20:56,399 Speaker 4: transport and see where is the danger of theft and 424 00:20:56,480 --> 00:20:59,480 Speaker 4: damage the highest, we use satellite data. So all of 425 00:20:59,520 --> 00:21:03,720 Speaker 4: this has a technological component that would increase much more. 426 00:21:04,119 --> 00:21:06,040 Speaker 1: Now, you look like you're in pretty good shape. Are 427 00:21:06,040 --> 00:21:07,639 Speaker 1: you an athlete? I mean you have to be if 428 00:21:07,640 --> 00:21:09,760 Speaker 1: you're the head of insurance company. You can't be very overweight. 429 00:21:09,840 --> 00:21:12,600 Speaker 1: Doesn't look good, I assume, so you're underweight or you're 430 00:21:12,640 --> 00:21:15,160 Speaker 1: certainly trim. Do you run a lot or you exercise 431 00:21:15,200 --> 00:21:15,440 Speaker 1: a lot? 432 00:21:15,440 --> 00:21:15,919 Speaker 2: What do you do? 433 00:21:16,359 --> 00:21:16,439 Speaker 3: So? 434 00:21:16,520 --> 00:21:19,480 Speaker 4: Yeah, I do run every morning. I do five kilometers 435 00:21:19,520 --> 00:21:22,040 Speaker 4: every morning. And I'm a very passionate horse rider. And 436 00:21:22,520 --> 00:21:25,640 Speaker 4: in order for the horse to support you, you can't 437 00:21:25,640 --> 00:21:26,560 Speaker 4: have too many kilos. 438 00:21:26,760 --> 00:21:30,920 Speaker 1: But isn't that like dangerous because you're an insurance company CEO? 439 00:21:31,400 --> 00:21:33,240 Speaker 1: The horse could stumble and you could fall, and the 440 00:21:33,240 --> 00:21:35,160 Speaker 1: horse could fall on you. You ever had that problem? 441 00:21:35,320 --> 00:21:36,680 Speaker 3: I've fallen many times. 442 00:21:37,160 --> 00:21:39,480 Speaker 4: Were oversee a helmet and wear a vest like you know, 443 00:21:39,520 --> 00:21:42,159 Speaker 4: the motorbicker vest. When you fall, it blows up, and 444 00:21:42,280 --> 00:21:45,320 Speaker 4: so far apart from a broken finger, nothing. 445 00:21:45,160 --> 00:21:46,480 Speaker 2: Okay, Well that's another sport. 446 00:21:46,520 --> 00:21:48,880 Speaker 1: I probably won't be if I told your insurance people 447 00:21:48,920 --> 00:21:51,000 Speaker 1: that I was going to be doing horse jumping, they 448 00:21:51,320 --> 00:21:52,520 Speaker 1: wouldn't give me a life insurance. 449 00:21:52,600 --> 00:21:54,280 Speaker 4: Yes, they would if you do it. If you don't 450 00:21:54,280 --> 00:21:55,680 Speaker 4: do it professionally, they would. 451 00:21:55,960 --> 00:21:58,800 Speaker 1: What's the greatest pleasure of running AX or running a 452 00:21:58,840 --> 00:22:01,480 Speaker 1: large multinational, Like, what is the great fun of it? 453 00:22:01,720 --> 00:22:04,760 Speaker 4: So, first of all, it's great to work with so 454 00:22:04,800 --> 00:22:07,480 Speaker 4: many motivated people. Yes, you say it's difficult to get 455 00:22:07,520 --> 00:22:09,280 Speaker 4: good people, but we have good people and it's a 456 00:22:09,280 --> 00:22:12,919 Speaker 4: pleasure to work with them. Secondly, an insurer looks into 457 00:22:13,040 --> 00:22:19,320 Speaker 4: every industry, so from satellites to crocodile farms to travel insurance. 458 00:22:19,359 --> 00:22:22,879 Speaker 4: So it's a very broad view, and certainly it is 459 00:22:22,920 --> 00:22:24,360 Speaker 4: really a place where. 460 00:22:24,160 --> 00:22:25,560 Speaker 3: You can do good for society. 461 00:22:25,640 --> 00:22:30,160 Speaker 4: So what I mentioned earlier around our approach on climate 462 00:22:30,240 --> 00:22:33,520 Speaker 4: change and investing in a different manner and underwriting in 463 00:22:33,520 --> 00:22:36,360 Speaker 4: a different manner, you can see the change you can 464 00:22:36,400 --> 00:22:37,200 Speaker 4: make on society. 465 00:22:37,320 --> 00:22:39,520 Speaker 1: So on the whole, the message you want to give 466 00:22:39,520 --> 00:22:42,640 Speaker 1: people is access the best insurance company that they should use, 467 00:22:42,800 --> 00:22:45,320 Speaker 1: and insurance is doing a useful thing for society. 468 00:22:45,359 --> 00:22:48,080 Speaker 3: Is that your exactly perfect summary, and. 469 00:22:48,119 --> 00:22:53,520 Speaker 1: No regrets about not going into investment banking, private equity, government, 470 00:22:53,560 --> 00:22:54,760 Speaker 1: you're happy with what you're doing. 471 00:22:55,000 --> 00:22:56,600 Speaker 4: I'm very happy with that I'm doing what I'm doing, 472 00:22:56,640 --> 00:22:58,720 Speaker 4: and since I don't know what the other things are about, 473 00:22:59,359 --> 00:22:59,800 Speaker 4: I will stay. 474 00:23:01,920 --> 00:23:04,439 Speaker 1: Thanks for listening to hear more of my interviews. You 475 00:23:04,520 --> 00:23:08,600 Speaker 1: can subscribe and download my podcast on Spotify, Apple, or 476 00:23:08,600 --> 00:23:09,480 Speaker 1: wherever you listen.