1 00:00:02,920 --> 00:00:05,240 Speaker 1: Unon Cries is the see of Mattel, one of the 2 00:00:05,360 --> 00:00:08,240 Speaker 1: leading toy companies in the world. It's the manufacturer of, 3 00:00:08,280 --> 00:00:10,960 Speaker 1: among other products, the Barbie doll. I had a chance 4 00:00:10,960 --> 00:00:13,119 Speaker 1: to sit down with the CEO recently talk about how 5 00:00:13,119 --> 00:00:16,520 Speaker 1: he's trying to transform a traditional toy company into one 6 00:00:16,520 --> 00:00:20,880 Speaker 1: that takes advantage of, among other technologies, artificial intelligence. Now, 7 00:00:20,920 --> 00:00:22,880 Speaker 1: the toy world is not a world that I know 8 00:00:23,000 --> 00:00:25,800 Speaker 1: that well. I do have some young grandchildren and get 9 00:00:25,880 --> 00:00:27,760 Speaker 1: them some toys from time to time, but I don't 10 00:00:27,800 --> 00:00:30,440 Speaker 1: really pay attention to where the toys are manufactured. My 11 00:00:30,600 --> 00:00:33,520 Speaker 1: assumption is that most toys in the United States are actually 12 00:00:33,560 --> 00:00:36,720 Speaker 1: manufactured overseas, and maybe a large number that was in China. 13 00:00:36,840 --> 00:00:38,960 Speaker 1: Is that a fair assumption, that's correct. 14 00:00:38,960 --> 00:00:42,000 Speaker 2: The industry average is about eighty twenty five percent of 15 00:00:42,120 --> 00:00:44,040 Speaker 2: toys being made in China. 16 00:00:44,960 --> 00:00:45,880 Speaker 3: Fu Mattel. 17 00:00:46,080 --> 00:00:50,879 Speaker 2: We've been reducing and rebalancing a manufacturing footprint so that 18 00:00:51,440 --> 00:00:53,760 Speaker 2: no one country by the end of twenty seven will 19 00:00:53,840 --> 00:00:57,000 Speaker 2: represent more than twenty five percent of our global manufacturing. 20 00:00:57,680 --> 00:01:01,840 Speaker 2: China represent for US today around thirty five percent of 21 00:01:01,840 --> 00:01:04,560 Speaker 2: our global manufacturing. Relative to in this reverage of eighty 22 00:01:04,600 --> 00:01:08,880 Speaker 2: twenty five percent. But this journey was not about China. 23 00:01:09,280 --> 00:01:14,120 Speaker 2: It was about balancing and diversifying manufacturing footprint so that 24 00:01:14,160 --> 00:01:15,880 Speaker 2: we're not dependent on any one country. 25 00:01:16,120 --> 00:01:18,880 Speaker 1: As we talk today, President Trump is shortly going to 26 00:01:18,880 --> 00:01:22,520 Speaker 1: be meeting with the President Cigping, presumably that deal with 27 00:01:22,560 --> 00:01:25,520 Speaker 1: tariffs and other things. But today the tariffs that have 28 00:01:25,600 --> 00:01:29,080 Speaker 1: been imposed on China has had adversely affected toy companies 29 00:01:29,080 --> 00:01:31,240 Speaker 1: and particularly in MATEL. Well. 30 00:01:31,280 --> 00:01:33,840 Speaker 2: At the start of the year, the issue was about 31 00:01:33,880 --> 00:01:38,400 Speaker 2: cost impact of tariff on product. Then the question became 32 00:01:38,680 --> 00:01:42,880 Speaker 2: what about consumer reaction to price increase in response to tariff. 33 00:01:43,560 --> 00:01:47,200 Speaker 2: Now what we're seeing is that we companies have mitigated 34 00:01:47,240 --> 00:01:51,480 Speaker 2: for the cost impact. Consumer demand for toys is growing, 35 00:01:52,120 --> 00:01:55,640 Speaker 2: has been growing every quarter in the US and overseas. 36 00:01:56,280 --> 00:01:59,520 Speaker 2: What we have seen is that retailers have postponed their 37 00:01:59,520 --> 00:02:01,880 Speaker 2: decision and making orders to the very back end of 38 00:02:01,880 --> 00:02:04,520 Speaker 2: the year. But seeing that there is demand, there is 39 00:02:04,600 --> 00:02:09,280 Speaker 2: consumer demand, people are buying product at retailers. We expect 40 00:02:09,360 --> 00:02:13,359 Speaker 2: to see a good Holia decision and a strong growth. 41 00:02:13,080 --> 00:02:13,880 Speaker 3: Core of fu MATEL. 42 00:02:14,200 --> 00:02:16,680 Speaker 1: Now about fifty percent of the tariffs that have been 43 00:02:16,680 --> 00:02:19,840 Speaker 1: imposed by the federal government have not been passed along 44 00:02:19,880 --> 00:02:22,280 Speaker 1: to customers. They are being absorbed by the people that 45 00:02:22,320 --> 00:02:24,880 Speaker 1: are paying the tariffs. Are you absorbing a large part 46 00:02:24,880 --> 00:02:27,000 Speaker 1: of the tariffs or are you passing along some of it? 47 00:02:27,520 --> 00:02:30,359 Speaker 2: Well, we have several mitigating actions that we're taking. Much 48 00:02:30,400 --> 00:02:34,480 Speaker 2: of it is about diversifying manufacturing footprint and using the 49 00:02:34,520 --> 00:02:37,720 Speaker 2: fact that we are making product in seven different countries 50 00:02:38,240 --> 00:02:41,760 Speaker 2: so you can optimize and modulate and create a flexible 51 00:02:41,800 --> 00:02:45,600 Speaker 2: model that respond to tariff and shifting market conditions. And 52 00:02:45,639 --> 00:02:47,880 Speaker 2: this is very much part of our journey to create 53 00:02:47,960 --> 00:02:50,200 Speaker 2: a flexible sublition that is responsive. 54 00:02:50,400 --> 00:02:53,240 Speaker 1: As the tariff have now come in and some extent 55 00:02:53,280 --> 00:02:55,160 Speaker 1: there might be increased, it might be a decreased. But 56 00:02:55,200 --> 00:02:57,919 Speaker 1: how has that changed your relationship with retailers? Are they 57 00:02:58,160 --> 00:03:00,720 Speaker 1: absorbing the tariffs or you obs or in the tariffs 58 00:03:00,760 --> 00:03:01,320 Speaker 1: or as it split. 59 00:03:02,160 --> 00:03:06,280 Speaker 2: We work very closely with our retail partners. We are 60 00:03:06,480 --> 00:03:10,720 Speaker 2: fundamentally a business to business company. We sell to the retailers, 61 00:03:10,840 --> 00:03:14,120 Speaker 2: they sell to the consumers. But together we are trying 62 00:03:14,120 --> 00:03:18,040 Speaker 2: to create a holistic experience that drives demand and we 63 00:03:18,200 --> 00:03:20,760 Speaker 2: work with them to help them sell products. We spend 64 00:03:20,800 --> 00:03:25,840 Speaker 2: significant resources in demand creation. We sell product as a 65 00:03:25,880 --> 00:03:30,080 Speaker 2: company in five hundred thousand stores globally. This is just 66 00:03:30,120 --> 00:03:32,520 Speaker 2: a brick and mortar business, not including online retail and 67 00:03:32,560 --> 00:03:37,120 Speaker 2: e commerce. So understanding the retail landscape and working in 68 00:03:37,200 --> 00:03:41,280 Speaker 2: close collaboration with our retail partners is core competence to 69 00:03:41,320 --> 00:03:43,360 Speaker 2: what we do, and we do that really well. 70 00:03:43,400 --> 00:03:45,760 Speaker 1: The most famous toy you probably have, I assume it's 71 00:03:45,800 --> 00:03:49,040 Speaker 1: Barbie Doo. When was the Barbie doo actually invented? And 72 00:03:49,040 --> 00:03:51,320 Speaker 1: why is it so popular for such a long period 73 00:03:51,320 --> 00:03:51,560 Speaker 1: of time. 74 00:03:51,640 --> 00:03:56,600 Speaker 2: Barbie was invented in nineteen fifty nine. But Barbie is 75 00:03:56,640 --> 00:04:00,240 Speaker 2: so much more than a doll. Barbie is a pop 76 00:04:00,280 --> 00:04:04,400 Speaker 2: culture icon. And we as a company, what we do 77 00:04:04,480 --> 00:04:09,000 Speaker 2: really well is we keep our brands fresh, relevant, current 78 00:04:09,760 --> 00:04:14,080 Speaker 2: and culturally relevant a clear a clear part of our 79 00:04:14,120 --> 00:04:18,760 Speaker 2: playbook is infuse brand purpose and cultural relevance, the relevance 80 00:04:18,800 --> 00:04:21,720 Speaker 2: into everything we do. And Barbie is the posted child 81 00:04:21,720 --> 00:04:22,680 Speaker 2: of that strategy. 82 00:04:22,960 --> 00:04:25,560 Speaker 1: All right, So there's the can dow, there's the Barbie down. 83 00:04:25,640 --> 00:04:27,200 Speaker 1: It still is your biggest selling toy. 84 00:04:27,960 --> 00:04:31,080 Speaker 2: Actually, Hot Wheels right now is a bigger selling product 85 00:04:31,160 --> 00:04:35,400 Speaker 2: than Barbie. Hot Wheels was created eight years nine years 86 00:04:35,400 --> 00:04:38,880 Speaker 2: sorry after Barbie, and Hot Wheels is very much about 87 00:04:39,000 --> 00:04:42,920 Speaker 2: car culture. Hot wheels as a as a toy is 88 00:04:42,960 --> 00:04:46,039 Speaker 2: the number one selling item in the industry. So these 89 00:04:46,040 --> 00:04:50,800 Speaker 2: cars are performance cars. The race in orange tracks and 90 00:04:51,120 --> 00:04:56,120 Speaker 2: around that we make content, video games, location based entertainment, 91 00:04:56,680 --> 00:05:02,720 Speaker 2: car shows, races, and it's a whole encompassing experience around cars. 92 00:05:02,920 --> 00:05:06,120 Speaker 1: Let's talk about film. Barbie had a movie a few 93 00:05:06,200 --> 00:05:08,960 Speaker 1: years ago which turned out to be spectacularly successful, was 94 00:05:09,000 --> 00:05:12,159 Speaker 1: nominated for Academy Awards, and it did incredible at the 95 00:05:12,160 --> 00:05:14,960 Speaker 1: box office. I assume you were behind that because you 96 00:05:14,960 --> 00:05:16,719 Speaker 1: have a background in that area. Was that your idea 97 00:05:16,720 --> 00:05:17,800 Speaker 1: to do a Barbie. 98 00:05:17,440 --> 00:05:21,040 Speaker 2: Film, Well, it was part of our strategy, and yes, 99 00:05:21,640 --> 00:05:24,359 Speaker 2: three weeks after I started, after I joined the company, 100 00:05:24,800 --> 00:05:28,919 Speaker 2: we started that journey. The goal was not simply to 101 00:05:29,000 --> 00:05:32,560 Speaker 2: create a movie, and it wasn't a movie that was 102 00:05:32,560 --> 00:05:35,640 Speaker 2: designed to sell toys. It was about creating a cultural event. 103 00:05:36,440 --> 00:05:39,159 Speaker 2: And this movie went on to become one of the 104 00:05:39,160 --> 00:05:42,200 Speaker 2: most successful movies of all time, and in fact, became 105 00:05:42,360 --> 00:05:46,200 Speaker 2: Warner Brothers most successful movie at the box office ever 106 00:05:46,240 --> 00:05:47,120 Speaker 2: in one hundred years. 107 00:05:47,680 --> 00:05:51,559 Speaker 1: Now. Hollywood is not famous for doing sequels, right, so 108 00:05:51,760 --> 00:05:54,680 Speaker 1: I assume there will be a sequel. Barbie and Barbie two, 109 00:05:54,680 --> 00:05:55,520 Speaker 1: three and four right. 110 00:05:55,839 --> 00:05:58,400 Speaker 2: Well, we always said we're looking to build film franchises. 111 00:05:58,720 --> 00:06:02,279 Speaker 2: We haven't announced anything a second live action movie, but 112 00:06:02,400 --> 00:06:06,080 Speaker 2: we have announced that we're developing an animated Barbie movie 113 00:06:06,120 --> 00:06:10,279 Speaker 2: with Chris Maladandris Illumination, which is one of the most 114 00:06:10,320 --> 00:06:14,279 Speaker 2: successful animated filmmakers of all time. So it's going to 115 00:06:14,320 --> 00:06:18,040 Speaker 2: be a very exciting project that we'll reimagine Barbie in 116 00:06:18,080 --> 00:06:18,560 Speaker 2: a new way. 117 00:06:18,960 --> 00:06:22,560 Speaker 1: Now, in many companies, when there's a manufacturer product, the 118 00:06:22,640 --> 00:06:26,200 Speaker 1: CEO tests the product and says works or not. So 119 00:06:26,200 --> 00:06:28,240 Speaker 1: how do you say, yes, let's do this toy, or 120 00:06:28,360 --> 00:06:30,719 Speaker 1: we're not going to do this toy. Who's your expert 121 00:06:30,760 --> 00:06:32,320 Speaker 1: in deciding to do this or not? 122 00:06:32,520 --> 00:06:35,080 Speaker 3: This is what we do as a company. 123 00:06:36,200 --> 00:06:40,520 Speaker 2: We make product that engages and connects with people, and 124 00:06:40,640 --> 00:06:43,560 Speaker 2: we have experts all over the world. We have people 125 00:06:43,560 --> 00:06:47,280 Speaker 2: that specialize in different categories of product, and of course 126 00:06:47,320 --> 00:06:49,760 Speaker 2: we do a lot of testing, a lot of trials 127 00:06:49,800 --> 00:06:54,159 Speaker 2: and testing in our own labs, innovation labs, play labs. 128 00:06:54,600 --> 00:06:58,960 Speaker 2: One such example that just recently came to life is 129 00:06:59,000 --> 00:07:02,919 Speaker 2: a reinvention of the hot wheels orange tracks that have 130 00:07:02,960 --> 00:07:07,640 Speaker 2: been around for decades, and we discovered through research that 131 00:07:07,720 --> 00:07:11,800 Speaker 2: it's actually a little hard for young kids to connect parts, 132 00:07:12,160 --> 00:07:14,640 Speaker 2: and we came up with a whole new system that 133 00:07:14,960 --> 00:07:18,360 Speaker 2: is very simple and easy to connect with a snap 134 00:07:18,960 --> 00:07:21,480 Speaker 2: just to one hand, and at the same time is 135 00:07:21,520 --> 00:07:24,200 Speaker 2: actually higher performing in terms of speed the speed of 136 00:07:24,200 --> 00:07:26,280 Speaker 2: the car that the cars can drive on the tracks. 137 00:07:26,840 --> 00:07:30,280 Speaker 2: So it was a way to reimagine a tried and 138 00:07:30,360 --> 00:07:33,880 Speaker 2: tested play pattern in new and exciting ways through research. 139 00:07:34,360 --> 00:07:37,440 Speaker 1: When you have advertisement for toys, are you doing the 140 00:07:37,440 --> 00:07:40,600 Speaker 1: advertisement so it appeals to a child four or five 141 00:07:40,720 --> 00:07:42,600 Speaker 1: sixty seven or to the adult? How do you make 142 00:07:42,640 --> 00:07:45,200 Speaker 1: the advertisements appear to both if possible, or just do 143 00:07:45,240 --> 00:07:48,080 Speaker 1: you tag target just one age group, the children or 144 00:07:48,160 --> 00:07:48,640 Speaker 1: the parent. 145 00:07:49,640 --> 00:07:52,000 Speaker 2: We don't think of it in terms of advertising or 146 00:07:52,040 --> 00:07:56,960 Speaker 2: even marketing. It's about demand creation. Children are the most 147 00:07:57,000 --> 00:08:00,440 Speaker 2: sophisticated consumer out there. They can smell any thing that 148 00:08:00,520 --> 00:08:03,560 Speaker 2: is not authentic a mile away. So whatever we do 149 00:08:04,160 --> 00:08:07,160 Speaker 2: has to be authentic and connect to the brand values. 150 00:08:07,360 --> 00:08:10,080 Speaker 1: So let's talk about most recently, you had earnings and 151 00:08:10,120 --> 00:08:12,480 Speaker 1: your earnings didn't go quite what the analyst thought it 152 00:08:12,520 --> 00:08:14,800 Speaker 1: was going to be. Is that always a problem with 153 00:08:14,840 --> 00:08:18,200 Speaker 1: analysts or always have higher expectations and the reality, you. 154 00:08:18,120 --> 00:08:20,880 Speaker 2: Know, we don't manage the company quarter by quarter. We 155 00:08:21,000 --> 00:08:23,400 Speaker 2: guide it for certain numbers for the full year and 156 00:08:23,520 --> 00:08:27,000 Speaker 2: we expect to meet those numbers. As I said that 157 00:08:27,000 --> 00:08:30,000 Speaker 2: at the beginning, part of what is shaping this year 158 00:08:30,560 --> 00:08:35,040 Speaker 2: is shifting orders by retailers to delay some of their decisions. 159 00:08:35,400 --> 00:08:38,959 Speaker 2: So we saw a lesser third quarter and we expect 160 00:08:38,960 --> 00:08:40,160 Speaker 2: a higher fourth quarter. 161 00:08:40,480 --> 00:08:43,160 Speaker 1: So as people are getting ready to buy toys for 162 00:08:43,360 --> 00:08:46,960 Speaker 1: Christmas season, what do you want them to know the 163 00:08:47,000 --> 00:08:49,320 Speaker 1: most about what they should be buying in the toy world. 164 00:08:50,280 --> 00:08:52,880 Speaker 2: You know, we are so proud of what we do 165 00:08:53,760 --> 00:08:57,080 Speaker 2: Every Christmas. We create product that we believe stands out 166 00:08:57,600 --> 00:09:01,360 Speaker 2: in a very crowded aisle, the toy isle, and our 167 00:09:01,480 --> 00:09:04,240 Speaker 2: job is to continue to do things that will excite 168 00:09:04,240 --> 00:09:08,080 Speaker 2: and delight fans and partner with our retailers to create 169 00:09:08,160 --> 00:09:10,920 Speaker 2: an offering that will be very compelling. Of course, it's 170 00:09:10,960 --> 00:09:17,000 Speaker 2: always about Barbie, Hot Wheels, American Girl, Fisher Price U, 171 00:09:17,160 --> 00:09:23,760 Speaker 2: No Monster, High Endless collection across multiple price points. You 172 00:09:23,800 --> 00:09:27,600 Speaker 2: can buy a Hot Wheels Dykas's car for a dollar 173 00:09:27,640 --> 00:09:31,160 Speaker 2: twenty five, or you can buy a collector set that 174 00:09:31,240 --> 00:09:35,000 Speaker 2: we did together with Daniel Arsham, a famous artist, for 175 00:09:35,120 --> 00:09:37,320 Speaker 2: seven hundred dollars on matel creation. 176 00:09:38,160 --> 00:09:40,959 Speaker 1: And when you're dealing with Christmas, you have to figure 177 00:09:40,960 --> 00:09:44,880 Speaker 1: out you get new toys designed so that that's something different, 178 00:09:45,000 --> 00:09:47,320 Speaker 1: or you get old, reliable toys that you know the 179 00:09:47,400 --> 00:09:49,440 Speaker 1: parent is going to say, yes, this kid will like 180 00:09:49,480 --> 00:09:51,040 Speaker 1: it because it's been around for a while. 181 00:09:51,480 --> 00:09:55,120 Speaker 2: It's it's a combination of both, and it's art and science. 182 00:09:55,720 --> 00:09:59,920 Speaker 2: There's no playbook and there's no predictable you know Panett 183 00:10:00,040 --> 00:10:02,080 Speaker 2: patent that you try to follow in many ways, you 184 00:10:02,160 --> 00:10:06,079 Speaker 2: invent and you create product and create the demand. But 185 00:10:06,240 --> 00:10:09,280 Speaker 2: what we are seeing in a world of unlimited shelf 186 00:10:09,320 --> 00:10:15,640 Speaker 2: space and ubiquitous distribution, the big brands win. The big 187 00:10:15,679 --> 00:10:18,800 Speaker 2: brands that have the awareness and built in fan base 188 00:10:19,120 --> 00:10:20,439 Speaker 2: always have the advantage. 189 00:10:21,040 --> 00:10:23,440 Speaker 1: So if I could ask you the obvious question, what 190 00:10:23,559 --> 00:10:27,040 Speaker 1: is somebody who was born in Israel, educated to some 191 00:10:27,120 --> 00:10:30,320 Speaker 1: extent the United States, and really a media executive doing 192 00:10:30,360 --> 00:10:31,480 Speaker 1: running a toy company. 193 00:10:32,080 --> 00:10:34,880 Speaker 2: Well, the opportunity was to take a company that thought 194 00:10:35,520 --> 00:10:38,840 Speaker 2: it's a toy manufacturing company and turn it into an 195 00:10:38,880 --> 00:10:39,640 Speaker 2: IP company. 196 00:10:40,480 --> 00:10:42,120 Speaker 3: We own one of the strongest. 197 00:10:41,679 --> 00:10:45,680 Speaker 2: Portfolios in the world in children and family entertainment, and 198 00:10:45,720 --> 00:10:48,959 Speaker 2: the opportunity that I saw that excited me was to 199 00:10:49,040 --> 00:10:52,480 Speaker 2: come in and help the company capitalize and capture the 200 00:10:52,520 --> 00:10:56,559 Speaker 2: full value of our intellectual properties outside of the toy isle, 201 00:10:56,960 --> 00:10:59,760 Speaker 2: not instead of what we're doing toys, but in addition 202 00:10:59,800 --> 00:11:00,120 Speaker 2: to that. 203 00:11:00,600 --> 00:11:03,680 Speaker 1: So when you recruited to run Mattel, they had already 204 00:11:03,679 --> 00:11:05,920 Speaker 1: had a lot of CEOs who didn't last. So why 205 00:11:05,920 --> 00:11:07,040 Speaker 1: would you take this job? 206 00:11:08,120 --> 00:11:11,600 Speaker 2: Yes, being the fourth CEO in four years is a 207 00:11:11,679 --> 00:11:15,800 Speaker 2: challenging start, but I always believed in the company. I 208 00:11:15,920 --> 00:11:19,200 Speaker 2: believed in the brands, and I really saw the potential 209 00:11:19,240 --> 00:11:22,200 Speaker 2: of taking a company the thought it's in the manufacturing 210 00:11:22,280 --> 00:11:27,080 Speaker 2: business and tended to become an IPA company. And today 211 00:11:27,440 --> 00:11:30,920 Speaker 2: we're evolving even further from being an IPA company to 212 00:11:31,000 --> 00:11:34,640 Speaker 2: being a brand management company. And in a world where 213 00:11:34,720 --> 00:11:38,920 Speaker 2: everything revolves around big brands, this is a very exciting opportunity. 214 00:11:39,120 --> 00:11:41,400 Speaker 1: Let's talk about your background for a moment. You don't 215 00:11:41,400 --> 00:11:44,400 Speaker 1: have a Los Angeles accent where you live now, so 216 00:11:44,520 --> 00:11:46,760 Speaker 1: let's talk about where you were born. Where were you born? 217 00:11:47,000 --> 00:11:50,080 Speaker 1: I was born in Tel Aviv, Tel Aviv, and how 218 00:11:50,120 --> 00:11:50,960 Speaker 1: long did you live there? 219 00:11:51,040 --> 00:11:52,040 Speaker 3: I grew up in Israel. 220 00:11:52,200 --> 00:11:55,160 Speaker 2: I lived there until I was twenty six, and then 221 00:11:55,200 --> 00:11:59,360 Speaker 2: I came to America, went to Los Angeles to study 222 00:11:59,400 --> 00:12:04,040 Speaker 2: business to UCLA, and I stayed in the US and 223 00:12:04,120 --> 00:12:05,760 Speaker 2: lived in Europe ever since. 224 00:12:06,000 --> 00:12:07,959 Speaker 1: So when you were a boy, what was your ambition 225 00:12:08,040 --> 00:12:09,679 Speaker 1: to be a toy manufacturer or what. 226 00:12:10,920 --> 00:12:15,679 Speaker 2: I was a very happy kid, into sports and outdoors 227 00:12:16,360 --> 00:12:21,280 Speaker 2: and always wanted to get into business. When I grew up, 228 00:12:21,640 --> 00:12:26,160 Speaker 2: I always had a map of the world in my bedroom. 229 00:12:26,520 --> 00:12:30,320 Speaker 2: My mother came from England and her side of the 230 00:12:30,360 --> 00:12:34,240 Speaker 2: family lived in the UK, and we used to have 231 00:12:34,559 --> 00:12:37,760 Speaker 2: guests and friends from her side coming to Israel. And 232 00:12:37,840 --> 00:12:42,640 Speaker 2: I was always fascinated meaning people from other countries, other places, 233 00:12:43,200 --> 00:12:46,240 Speaker 2: and that probably formed part of my interest to do 234 00:12:46,360 --> 00:12:49,200 Speaker 2: things that would be more global. 235 00:12:49,720 --> 00:12:53,240 Speaker 1: But you were a champion athlete as a child, Is 236 00:12:53,280 --> 00:12:53,680 Speaker 1: that true? 237 00:12:54,520 --> 00:12:59,280 Speaker 2: I was an active athlete. I used to compete in swimming. 238 00:12:59,559 --> 00:13:03,560 Speaker 2: I played soccer in the league. I got into water sports. 239 00:13:03,760 --> 00:13:05,800 Speaker 2: Always did something to do with sports. 240 00:13:05,800 --> 00:13:09,280 Speaker 1: Okay. So you went to university in Tel Aviv, Tel 241 00:13:09,280 --> 00:13:11,480 Speaker 1: Aviv University, and what did you major? In? 242 00:13:11,760 --> 00:13:12,920 Speaker 3: Economics and management? 243 00:13:13,160 --> 00:13:14,920 Speaker 1: Okay? So you get your degree and you say to 244 00:13:14,960 --> 00:13:17,760 Speaker 1: your parents, thank you for raising me here, but I'm 245 00:13:17,760 --> 00:13:19,760 Speaker 1: going to move all the way to the United States. 246 00:13:19,760 --> 00:13:21,520 Speaker 1: In fact, so far in the United States, it's going 247 00:13:21,559 --> 00:13:23,440 Speaker 1: to be in California, so you maybe not see me 248 00:13:23,559 --> 00:13:25,360 Speaker 1: too much anymore. Is that what you said? 249 00:13:25,440 --> 00:13:27,200 Speaker 3: Pretty much? And what did they say? 250 00:13:27,840 --> 00:13:30,880 Speaker 2: They say, we'll support you, We right behind you. It's 251 00:13:30,960 --> 00:13:33,200 Speaker 2: what my mother did to her parents when she moved 252 00:13:33,200 --> 00:13:37,600 Speaker 2: from London to Tel Aviv and ended up doing the 253 00:13:37,600 --> 00:13:38,640 Speaker 2: same thing to her right. 254 00:13:38,720 --> 00:13:41,400 Speaker 1: She went to business school at UCLA. When you showed 255 00:13:41,480 --> 00:13:43,640 Speaker 1: up at UCLA where a lot of Israeli students there 256 00:13:43,679 --> 00:13:44,199 Speaker 1: then or not. 257 00:13:44,360 --> 00:13:46,319 Speaker 3: There were no no Israeli students. 258 00:13:46,000 --> 00:13:49,240 Speaker 1: No no, So you said to them, I want to 259 00:13:49,240 --> 00:13:51,760 Speaker 1: break into the movie business, and they said to you, 260 00:13:51,880 --> 00:13:55,600 Speaker 1: nobody Jewish is in the movie business right the uh? 261 00:13:55,880 --> 00:13:59,480 Speaker 2: You know, back in the day, it was a lot 262 00:13:59,520 --> 00:14:04,480 Speaker 2: about making building connections and relationships. Of course, today with 263 00:14:04,559 --> 00:14:09,640 Speaker 2: the advent of the Internet and availability of information, is 264 00:14:09,679 --> 00:14:11,240 Speaker 2: a lot harder. Back in the day, you had to 265 00:14:11,280 --> 00:14:15,520 Speaker 2: really find your way around, and I exactly did that. 266 00:14:15,840 --> 00:14:19,440 Speaker 2: I interned at five different companies when I was a 267 00:14:19,480 --> 00:14:23,080 Speaker 2: student at UCLA. With the calling card of an NBA student, 268 00:14:23,800 --> 00:14:26,720 Speaker 2: you can open a few doors. But from then on 269 00:14:26,800 --> 00:14:29,840 Speaker 2: it's about gaining the experience and building the relationships. 270 00:14:29,960 --> 00:14:32,280 Speaker 1: You graduated what did you do when you graduated UCLA 271 00:14:32,320 --> 00:14:32,840 Speaker 1: Business School. 272 00:14:33,000 --> 00:14:34,560 Speaker 2: One of the things I did not want to do 273 00:14:34,880 --> 00:14:38,840 Speaker 2: is to follow the bit and path of what NBA 274 00:14:38,880 --> 00:14:40,960 Speaker 2: students use to do at the time, get a job 275 00:14:41,000 --> 00:14:45,440 Speaker 2: in consulting or banking. I try to. I said, I 276 00:14:45,440 --> 00:14:49,400 Speaker 2: would find my own thing or do something unique and 277 00:14:49,440 --> 00:14:53,880 Speaker 2: different that is not in line with the business school playbooks. 278 00:14:53,880 --> 00:14:55,720 Speaker 1: In other words, you didn't want to be something important 279 00:14:55,760 --> 00:15:00,800 Speaker 1: like a private equity investor that's excited not to all right, 280 00:15:00,840 --> 00:15:02,800 Speaker 1: and you didn't want to be a McKinsey consultant. So 281 00:15:03,160 --> 00:15:03,800 Speaker 1: what did you do? 282 00:15:04,440 --> 00:15:09,080 Speaker 2: I ended up as part of my networking meeting Heim Saban. 283 00:15:10,320 --> 00:15:13,600 Speaker 1: A famous Israeli born businessman in the la right. But 284 00:15:13,800 --> 00:15:16,600 Speaker 1: at the time and he just started to come out 285 00:15:16,640 --> 00:15:19,360 Speaker 1: to the Power Rangers. He was not the hims Saban 286 00:15:19,440 --> 00:15:21,920 Speaker 1: that you know today. It was actually an American friend 287 00:15:21,920 --> 00:15:24,600 Speaker 1: who connected us. We spoke English in the beginning when 288 00:15:24,640 --> 00:15:29,080 Speaker 1: we met. He was not looking for to hire anyone 289 00:15:29,120 --> 00:15:32,760 Speaker 1: and I was not looking for a job. But within 290 00:15:32,800 --> 00:15:37,920 Speaker 1: fifteen minutes there was a physical clique between us, and 291 00:15:37,920 --> 00:15:40,520 Speaker 1: he said to me, why didn't you join me? I'll 292 00:15:40,560 --> 00:15:43,640 Speaker 1: teach you everything about my company. I always say that 293 00:15:43,800 --> 00:15:47,960 Speaker 1: I got my BA from Tel Aviv University, my MBA 294 00:15:48,080 --> 00:15:52,120 Speaker 1: at UCLA, and my PhD with him. Saban now Heim 295 00:15:52,160 --> 00:15:55,080 Speaker 1: Saban made a lot of money in cartoons. I think 296 00:15:55,080 --> 00:15:56,880 Speaker 1: it was at one point he sold it I thank 297 00:15:56,960 --> 00:15:58,800 Speaker 1: to Disney or it was it Disney or the Fox, 298 00:15:58,800 --> 00:16:00,800 Speaker 1: I can't remember who he sold it to. He sold 299 00:16:00,840 --> 00:16:03,440 Speaker 1: his UH cartoon company at a very good price and 300 00:16:03,480 --> 00:16:06,800 Speaker 1: then stayed in UH. The m the motion picture book 301 00:16:06,800 --> 00:16:10,040 Speaker 1: world and and the communications world. So you went into that. 302 00:16:10,200 --> 00:16:13,960 Speaker 2: He had a small production company UH in Los Angeles. 303 00:16:14,920 --> 00:16:17,600 Speaker 2: We ended up creating a joint venture with Fox that 304 00:16:17,760 --> 00:16:20,640 Speaker 2: was called Fox Kids or Fox Family at the time. 305 00:16:21,160 --> 00:16:25,200 Speaker 2: I moved to London to build the European business for 306 00:16:25,320 --> 00:16:27,760 Speaker 2: him for this joint venture for him and group at 307 00:16:27,800 --> 00:16:31,520 Speaker 2: Murdock at the time, and the UH opportunity was to 308 00:16:31,600 --> 00:16:36,840 Speaker 2: create and launch children's channels in local languages across Spay 309 00:16:36,920 --> 00:16:40,800 Speaker 2: television in Europe. This was the beginning of digital television 310 00:16:40,800 --> 00:16:44,080 Speaker 2: in Europe and we ended up building a company that 311 00:16:44,320 --> 00:16:49,000 Speaker 2: broadcasted children channels in over fifty countries and seventeen languages 312 00:16:49,600 --> 00:16:52,240 Speaker 2: that we took priv We took public and eventually sold 313 00:16:52,240 --> 00:16:54,600 Speaker 2: the whole group to Disney. 314 00:16:55,240 --> 00:16:58,200 Speaker 1: And uh, what background did you have that qualified you 315 00:16:58,320 --> 00:16:58,920 Speaker 1: to do all this? 316 00:17:00,800 --> 00:17:03,200 Speaker 2: It's a question that I used to ask myself at 317 00:17:03,200 --> 00:17:07,840 Speaker 2: the time, because the deetre for this joint venture was 318 00:17:07,880 --> 00:17:11,000 Speaker 2: to take the success in the US and export it 319 00:17:11,040 --> 00:17:13,919 Speaker 2: to the world. I was actually looking for someone to 320 00:17:14,280 --> 00:17:16,960 Speaker 2: run this business, to build this business from scratch and 321 00:17:17,080 --> 00:17:20,160 Speaker 2: run it, and we couldn't find the right person. And 322 00:17:20,200 --> 00:17:22,480 Speaker 2: I was going down the list of candidates with time 323 00:17:22,560 --> 00:17:25,680 Speaker 2: one day and no one was quite right for the job. 324 00:17:26,160 --> 00:17:30,080 Speaker 2: And he said to me, you know what, why don't 325 00:17:30,320 --> 00:17:33,520 Speaker 2: you do it? Why didn't you do it? And I said, 326 00:17:33,600 --> 00:17:37,000 Speaker 2: you know what, I will. When will you start? I 327 00:17:37,160 --> 00:17:40,119 Speaker 2: just did and I ended up we were on our 328 00:17:40,119 --> 00:17:41,960 Speaker 2: way to New York at the time. I continued from 329 00:17:41,960 --> 00:17:45,399 Speaker 2: New York to London, hired rented an office on my 330 00:17:45,440 --> 00:17:48,000 Speaker 2: way to the airport in London, went straight from the 331 00:17:48,000 --> 00:17:50,879 Speaker 2: airport to the office and launched the business. 332 00:17:51,400 --> 00:17:54,480 Speaker 1: So a headhunter presumably called you and said, what about 333 00:17:54,560 --> 00:17:57,600 Speaker 1: running a toy company? And you said, I don't really 334 00:17:57,640 --> 00:17:59,000 Speaker 1: know toys, or you didn't say that. 335 00:17:59,040 --> 00:18:02,440 Speaker 2: The opportunity in Mattel and what I was doing back 336 00:18:02,480 --> 00:18:06,760 Speaker 2: then is much broader than that. I was not pay 337 00:18:06,840 --> 00:18:11,760 Speaker 2: television executive per se. But we saw the opportunity of 338 00:18:11,880 --> 00:18:16,840 Speaker 2: taking brands and building businesses around them, and leveraging the 339 00:18:16,920 --> 00:18:20,080 Speaker 2: fandom and the relationship would have with people to create 340 00:18:20,119 --> 00:18:21,480 Speaker 2: commercial enterprises. 341 00:18:21,880 --> 00:18:25,880 Speaker 1: You're a toy manufacturer, but what percentage of your revenues, 342 00:18:25,960 --> 00:18:27,679 Speaker 1: let's say five years from now, would you like to 343 00:18:27,680 --> 00:18:31,840 Speaker 1: actually have revenues and er earnings coming from non toys, 344 00:18:31,880 --> 00:18:35,120 Speaker 1: let's say pictures or motion picture television, things like that. 345 00:18:35,840 --> 00:18:39,679 Speaker 2: We expect a significant amount of profit to come through entertainment. 346 00:18:40,040 --> 00:18:44,840 Speaker 2: This is all of the activities around around the brands 347 00:18:44,840 --> 00:18:49,960 Speaker 2: and IP. Most of this business is royalty driven, so 348 00:18:50,040 --> 00:18:53,320 Speaker 2: you see most of the lift in profit, some in revenue, 349 00:18:53,320 --> 00:18:57,640 Speaker 2: but mostly in profit. So much higher margin and better 350 00:18:57,760 --> 00:19:01,120 Speaker 2: quality profit and growing at a significant rate. 351 00:19:01,480 --> 00:19:04,400 Speaker 1: The toy that I remember brand that I remember buying 352 00:19:04,400 --> 00:19:07,400 Speaker 1: a lot of toys was called Fisher Price, and the 353 00:19:07,400 --> 00:19:10,800 Speaker 1: theory was that these were educational toys more than regular 354 00:19:10,840 --> 00:19:13,399 Speaker 1: display toys. But is that what Fisher Price was about. 355 00:19:13,800 --> 00:19:19,240 Speaker 2: Absolutely, Fisher Price is for obviously younger consumers, babies, toddlers, 356 00:19:20,600 --> 00:19:24,479 Speaker 2: and infants, and this is about quality, trusted product that 357 00:19:24,560 --> 00:19:30,119 Speaker 2: has deep educational and developmental value. We spend significant resources 358 00:19:30,200 --> 00:19:34,520 Speaker 2: in defining and creating product that do exactly that. And 359 00:19:34,560 --> 00:19:39,000 Speaker 2: we still have labs the headquarter of Fisher Prices in 360 00:19:39,080 --> 00:19:42,520 Speaker 2: East Aurora, Upstate New York, and this is what the 361 00:19:42,560 --> 00:19:47,879 Speaker 2: team does. This part of the industry is product driven 362 00:19:48,800 --> 00:19:51,920 Speaker 2: where you sell to the parents under the umbrella of 363 00:19:51,960 --> 00:19:56,199 Speaker 2: the Fisher Price brand, which stands for trust, quality and 364 00:19:56,680 --> 00:19:58,280 Speaker 2: developmental values for the child. 365 00:19:58,400 --> 00:20:01,200 Speaker 1: Now, every parent I know always says when their child 366 00:20:01,240 --> 00:20:04,240 Speaker 1: is about six months old, my child might be a genius, 367 00:20:04,480 --> 00:20:05,600 Speaker 1: really brilliant. 368 00:20:05,720 --> 00:20:10,359 Speaker 2: You know the many proofs that play is a very 369 00:20:10,440 --> 00:20:15,639 Speaker 2: important part of developing children, and we think about it 370 00:20:15,680 --> 00:20:19,240 Speaker 2: all the time in terms of what patterns, what engagement 371 00:20:19,760 --> 00:20:22,320 Speaker 2: can we do to develop children through play. 372 00:20:22,480 --> 00:20:25,520 Speaker 1: When I talk to somebody, the question you invariably want 373 00:20:25,520 --> 00:20:29,120 Speaker 1: to ask is how is artificial intelligence affecting your industry. 374 00:20:29,240 --> 00:20:32,760 Speaker 2: We're very excited about AI. We just recently announced a 375 00:20:32,760 --> 00:20:37,280 Speaker 2: partnership with open AI that has two parts. It's about 376 00:20:37,320 --> 00:20:39,760 Speaker 2: how we work and how we do things in terms 377 00:20:39,800 --> 00:20:45,239 Speaker 2: of infusing technology to accelerate innovation, invention and do what 378 00:20:45,280 --> 00:20:48,399 Speaker 2: we do even better and faster. The other part is 379 00:20:48,480 --> 00:20:54,560 Speaker 2: infusing technology into product and experiences and elevating and elevating 380 00:20:54,600 --> 00:20:56,960 Speaker 2: the play pattern and creating something that would be even 381 00:20:57,000 --> 00:20:59,280 Speaker 2: more attractive and more engaging to fans. 382 00:20:59,640 --> 00:21:02,080 Speaker 1: What type of toys do you imagine would come out 383 00:21:02,119 --> 00:21:05,320 Speaker 1: of a relationship with an artificial intelligence company. 384 00:21:05,520 --> 00:21:09,399 Speaker 2: As we're being very mindful of creating product that will 385 00:21:09,600 --> 00:21:14,639 Speaker 2: leverage and benefit from the technology, clearly thinking about safety, privacy, 386 00:21:14,680 --> 00:21:19,479 Speaker 2: and other important issues when we think about product that 387 00:21:19,560 --> 00:21:24,840 Speaker 2: infuses AI. This is not about an AI speaking Barbie. 388 00:21:25,920 --> 00:21:29,200 Speaker 2: We're thinking of AI in other ways to elevate the 389 00:21:29,280 --> 00:21:33,600 Speaker 2: play pattern and create experiences that are more engaging through technology. 390 00:21:33,760 --> 00:21:35,800 Speaker 1: You had a Barbie movie, maybe you'll have another one. 391 00:21:36,080 --> 00:21:38,439 Speaker 1: You have any other toys that might be made in 392 00:21:38,480 --> 00:21:40,720 Speaker 1: the movies or theatrical presentations. 393 00:21:41,359 --> 00:21:44,040 Speaker 2: Well, we are releasing next year in twenty twenty six 394 00:21:44,200 --> 00:21:49,200 Speaker 2: two big movies Masses of the Universe, a big world 395 00:21:49,200 --> 00:21:53,640 Speaker 2: creation superhero franchise that we are launching as a big 396 00:21:53,680 --> 00:21:57,919 Speaker 2: movie in partnership with Amazon MGM, and right after that 397 00:21:58,520 --> 00:22:02,560 Speaker 2: a movie based on Matchbak the Cars together with Skuidance. 398 00:22:03,400 --> 00:22:06,520 Speaker 2: What will be interesting is for people to see the 399 00:22:06,920 --> 00:22:11,240 Speaker 2: breadth of our offering from the Barbie Pink through the 400 00:22:11,320 --> 00:22:15,200 Speaker 2: dark world of Eternia and everything in between. But it's 401 00:22:15,240 --> 00:22:18,480 Speaker 2: important to say this is not just about Barbie and 402 00:22:18,520 --> 00:22:23,000 Speaker 2: not just about movies. It's about creating holistic experiences across 403 00:22:23,320 --> 00:22:27,560 Speaker 2: multiple verticals, multiple entertainment verticals that are all looking for 404 00:22:27,600 --> 00:22:29,040 Speaker 2: big brands to drive the business. 405 00:22:29,520 --> 00:22:34,200 Speaker 1: Masters of the Universe. Is not about Wall Street investment bankers, right, It's. 406 00:22:34,080 --> 00:22:37,400 Speaker 2: About he men, and I promise you you will enjoy 407 00:22:37,440 --> 00:22:39,359 Speaker 2: this movie as much as you enjoyed Barbie. 408 00:22:39,480 --> 00:22:42,240 Speaker 1: So today, what is your biggest single challenge as the 409 00:22:42,320 --> 00:22:45,800 Speaker 1: CEO of this important toy company? What is your biggest 410 00:22:45,800 --> 00:22:47,639 Speaker 1: worry every night when you go to sleep? 411 00:22:48,600 --> 00:22:54,160 Speaker 2: Mostly about missing opportunities. There's so many opportunities out there, 412 00:22:54,920 --> 00:22:58,879 Speaker 2: especially given the strength and appeal of our brands, that 413 00:22:59,040 --> 00:23:02,800 Speaker 2: priority prioritization becomes a key part of what we do, 414 00:23:03,480 --> 00:23:05,960 Speaker 2: and you always think about how do we not miss 415 00:23:06,000 --> 00:23:10,000 Speaker 2: on so many opportunities in front of us. There is 416 00:23:10,040 --> 00:23:12,960 Speaker 2: so much to play with and so much to play for. 417 00:23:14,119 --> 00:23:18,159 Speaker 2: The value creation is enormous for Matil, given the strength 418 00:23:18,200 --> 00:23:21,520 Speaker 2: of our brands and given what we do. Toys as 419 00:23:21,520 --> 00:23:25,720 Speaker 2: an industry is growing, is not going anywhere, and the 420 00:23:25,760 --> 00:23:28,800 Speaker 2: opportunity for Matil is to continue to grow within the 421 00:23:28,800 --> 00:23:32,640 Speaker 2: toy aisle and find so much more upside in all 422 00:23:32,680 --> 00:23:37,040 Speaker 2: these other verticals in a world where everybody is looking 423 00:23:37,080 --> 00:23:39,720 Speaker 2: for big IP and big brands to rise above the 424 00:23:39,760 --> 00:23:41,560 Speaker 2: noise level and reach the consumer. 425 00:23:42,200 --> 00:23:44,720 Speaker 1: Thanks for listening to hear more of my interviews. You 426 00:23:44,760 --> 00:23:48,879 Speaker 1: can subscribe and download my podcast on Spotify, Apple, or 427 00:23:48,880 --> 00:23:49,720 Speaker 1: wherever you listen