1 00:00:00,880 --> 00:00:03,040 Speaker 1: I was thinking about Netflix, you know, with all the 2 00:00:03,080 --> 00:00:07,840 Speaker 1: pandemic binge watching and everything. Yeah, everybody is there. David 3 00:00:07,880 --> 00:00:11,320 Speaker 1: Rubinstein had a chance talk with co CEO Read Hastings 4 00:00:11,360 --> 00:00:14,400 Speaker 1: on the David Rubinstein Show, Peer to Peer Conversations. You 5 00:00:14,440 --> 00:00:17,280 Speaker 1: know at Netflix went public in two thousand two, right, 6 00:00:17,360 --> 00:00:21,880 Speaker 1: and the market cap is up more than eighty thousand percent, 7 00:00:22,040 --> 00:00:25,119 Speaker 1: And I checked the math and that's definitely the case. 8 00:00:25,200 --> 00:00:29,560 Speaker 1: And the stock is up more than forty percent since then. 9 00:00:29,920 --> 00:00:32,960 Speaker 1: Oh boy. Yeah. And David had a chance to ask 10 00:00:33,240 --> 00:00:36,199 Speaker 1: Hastings if he ever expected this kind of success, why 11 00:00:36,200 --> 00:00:38,520 Speaker 1: don't we listen in the company now which went public 12 00:00:38,560 --> 00:00:41,880 Speaker 1: in two thousand two. The market cap is up about 13 00:00:41,960 --> 00:00:45,240 Speaker 1: eighties six thousand percent, stock is up about forty one 14 00:00:45,680 --> 00:00:48,640 Speaker 1: percent since then. Did you ever think that it would 15 00:00:48,640 --> 00:00:51,559 Speaker 1: become that big and that's successful? Well now, because then 16 00:00:51,600 --> 00:00:55,040 Speaker 1: I would have never sold a share, So you never 17 00:00:55,160 --> 00:00:58,000 Speaker 1: know on on that and you know, honestly, there's been 18 00:00:58,040 --> 00:01:01,480 Speaker 1: a lot of luck along the way to UM. Blockbuster 19 00:01:01,600 --> 00:01:05,880 Speaker 1: could have wiped us out many times. UM. When Viacom 20 00:01:06,000 --> 00:01:09,760 Speaker 1: spun off Blockbuster in two thousand and four, they saddled 21 00:01:09,760 --> 00:01:12,520 Speaker 1: them with a billion dollars of debt as their good 22 00:01:12,520 --> 00:01:15,480 Speaker 1: by kiss. And you know that the covenants on that 23 00:01:15,560 --> 00:01:20,360 Speaker 1: debt severely limited Blockbuster when they attacked us. So that 24 00:01:20,520 --> 00:01:23,759 Speaker 1: was one. Another one is Blockbuster had us on the ropes. 25 00:01:23,959 --> 00:01:26,840 Speaker 1: And then Carl I com got elected um to the 26 00:01:26,880 --> 00:01:30,280 Speaker 1: board of directors by the shareholders of Blockbuster, uh, and 27 00:01:30,480 --> 00:01:34,200 Speaker 1: he fired the CEO over some you know, silly bonus issue, 28 00:01:34,640 --> 00:01:38,800 Speaker 1: and then they completely changed strategies. And so all these 29 00:01:38,840 --> 00:01:43,200 Speaker 1: things have been incredibly you know, lucky strokes. And so 30 00:01:43,319 --> 00:01:46,840 Speaker 1: you need both skill and luck, which I'm sure you've 31 00:01:46,880 --> 00:01:49,920 Speaker 1: experienced too. I've had a lot of luck, for sure. 32 00:01:50,280 --> 00:01:52,440 Speaker 1: So let me ask you though, for those who may 33 00:01:52,440 --> 00:01:54,640 Speaker 1: not be familiar with a new book you're coming out 34 00:01:54,640 --> 00:01:58,680 Speaker 1: with called No Rules Rules. Uh. In that book you 35 00:01:58,880 --> 00:02:01,280 Speaker 1: described that you actually, at one point one of the 36 00:02:01,320 --> 00:02:04,520 Speaker 1: go to Blockbuster and sell them the company for I think, 37 00:02:04,720 --> 00:02:09,480 Speaker 1: uh some modest amount today fifty million dollars absolutely um. 38 00:02:09,600 --> 00:02:12,640 Speaker 1: And uh. You know, in the early days, we were like, 39 00:02:12,680 --> 00:02:14,720 Speaker 1: Blockbuster is going to wreck us as soon as we 40 00:02:14,800 --> 00:02:18,520 Speaker 1: get big um. And we were almost right about that. 41 00:02:19,000 --> 00:02:21,560 Speaker 1: And so we went to see them and and you know, 42 00:02:21,639 --> 00:02:25,080 Speaker 1: they were very polite, but they were not interested. And 43 00:02:25,360 --> 00:02:28,880 Speaker 1: had they bought the company. Where do you think Blockbuster 44 00:02:28,919 --> 00:02:30,880 Speaker 1: would be today? And where do you think Netflix would 45 00:02:30,880 --> 00:02:34,480 Speaker 1: be today? It's always hard to tell, but I think 46 00:02:34,480 --> 00:02:37,640 Speaker 1: we could have made Blockbuster modern brand. You have a 47 00:02:37,639 --> 00:02:40,440 Speaker 1: culture you describe in your book which is very unique. 48 00:02:40,440 --> 00:02:42,160 Speaker 1: And let me just go through a couple of things 49 00:02:42,160 --> 00:02:44,400 Speaker 1: that you say that I found studying as somebody who's 50 00:02:44,520 --> 00:02:47,639 Speaker 1: helped to run accompany myself as publicly traded. For example, 51 00:02:48,000 --> 00:02:50,959 Speaker 1: you have a system where, um, people can take whatever 52 00:02:51,040 --> 00:02:53,799 Speaker 1: vacation they want to take. There's no limit. People can 53 00:02:53,960 --> 00:02:56,760 Speaker 1: take any time off they want, no limit. Um, where 54 00:02:56,760 --> 00:03:01,239 Speaker 1: did you get that idea from? Well, in the industrial economy, 55 00:03:01,360 --> 00:03:04,600 Speaker 1: like factories, we measured people by how many hours they 56 00:03:04,639 --> 00:03:07,760 Speaker 1: did on the job nine to five, eight to six, 57 00:03:07,880 --> 00:03:11,280 Speaker 1: whatever that is. And we really want people to focus 58 00:03:11,280 --> 00:03:15,920 Speaker 1: on ideas, on generating important work. And so you know, 59 00:03:16,000 --> 00:03:18,320 Speaker 1: we don't measure them during the day. We don't clock 60 00:03:18,400 --> 00:03:21,040 Speaker 1: our people in. And if we're not going to tell 61 00:03:21,080 --> 00:03:24,760 Speaker 1: whether someone is working five to nine or nine to five, 62 00:03:25,240 --> 00:03:27,960 Speaker 1: which is a two to one difference in hours, why 63 00:03:27,960 --> 00:03:30,840 Speaker 1: are we tracking whether they do fifty weeks or forty 64 00:03:30,880 --> 00:03:33,880 Speaker 1: eight weeks a year? Um, you know of work that's 65 00:03:33,919 --> 00:03:38,080 Speaker 1: in the noise, and so unlimited vacation. You know, it's 66 00:03:38,120 --> 00:03:41,120 Speaker 1: sort of like saying dress how you want, you know, 67 00:03:41,400 --> 00:03:44,240 Speaker 1: and then people still don't come to work naked. There's 68 00:03:44,280 --> 00:03:48,160 Speaker 1: some cultural assumptions about appropriate clothing for work, and we 69 00:03:48,200 --> 00:03:50,960 Speaker 1: don't need to specify that. And in the same way 70 00:03:51,040 --> 00:03:54,680 Speaker 1: with vacation, people understand getting work done and they get 71 00:03:54,720 --> 00:03:57,920 Speaker 1: to live more flexibly. Okay. Were you also say in 72 00:03:57,920 --> 00:04:00,360 Speaker 1: your book you don't have to please at your company 73 00:04:00,480 --> 00:04:02,440 Speaker 1: your boss. Other ways you can go ahead and do 74 00:04:02,480 --> 00:04:05,560 Speaker 1: what you think is best and your boss doesn't agree, 75 00:04:05,600 --> 00:04:08,360 Speaker 1: that's okay? Is that easy to run a company that way? 76 00:04:08,520 --> 00:04:12,920 Speaker 1: You know, again, we're really focused on inspiration over supervision. 77 00:04:13,720 --> 00:04:18,280 Speaker 1: So the traditional paradigm is that good management is close management, 78 00:04:18,360 --> 00:04:23,359 Speaker 1: set subjectives, manages tightly and all of that's appropriate and 79 00:04:23,480 --> 00:04:28,840 Speaker 1: safety critical environments airlines, producing vaccines, etcetera. But in a 80 00:04:28,960 --> 00:04:33,000 Speaker 1: creative business, you don't care so much about what goes wrong. 81 00:04:33,200 --> 00:04:35,919 Speaker 1: You care about enough of the right things get done. 82 00:04:36,600 --> 00:04:40,760 Speaker 1: Um And so we really focus on inspiring inspiring our 83 00:04:40,800 --> 00:04:44,920 Speaker 1: people and having it the very open and collaborative and 84 00:04:45,040 --> 00:04:49,560 Speaker 1: from that you get amazing technical innovation and you get 85 00:04:49,600 --> 00:04:53,120 Speaker 1: amazing content innovation. You point out in the book that 86 00:04:53,160 --> 00:04:55,600 Speaker 1: if people do a reasonably good job, they still might 87 00:04:55,640 --> 00:04:58,120 Speaker 1: lose their job if they haven't done a spectacular job, 88 00:04:58,440 --> 00:05:00,840 Speaker 1: and therefore they get a very good set but not 89 00:05:01,200 --> 00:05:04,400 Speaker 1: a continue job. Can you explain that theory? Yeah, and 90 00:05:04,440 --> 00:05:07,800 Speaker 1: again in the traditional industrial paradigm, you know you have 91 00:05:07,880 --> 00:05:10,720 Speaker 1: to do something wrong to get let go. You can 92 00:05:10,760 --> 00:05:12,839 Speaker 1: think of a job as sort of a property right, 93 00:05:13,320 --> 00:05:16,280 Speaker 1: you know, until you lose it by abusing your position. 94 00:05:16,880 --> 00:05:20,240 Speaker 1: But if you think about professional sports, you know, if 95 00:05:20,400 --> 00:05:23,040 Speaker 1: that team is going to win a championship, it has 96 00:05:23,120 --> 00:05:25,279 Speaker 1: to have a mix of the right players that work 97 00:05:25,360 --> 00:05:28,400 Speaker 1: well together, that are the absolute best in the world. 98 00:05:28,960 --> 00:05:31,880 Speaker 1: And so we try to model ourselves like a professional 99 00:05:31,960 --> 00:05:35,359 Speaker 1: sports team. So highly paid, but you've got to earn 100 00:05:35,400 --> 00:05:40,240 Speaker 1: your position every year, and it's about performance. And you 101 00:05:40,279 --> 00:05:43,880 Speaker 1: know that's not right for everybody. Some people care mostly 102 00:05:43,920 --> 00:05:49,200 Speaker 1: about job security. Other people care mostly about excellent colleagues, 103 00:05:49,440 --> 00:05:53,599 Speaker 1: and you know, playing great team ball to achieving something 104 00:05:53,640 --> 00:05:58,440 Speaker 1: important for the consumers. And you know we're attracting, you know, 105 00:05:58,560 --> 00:06:02,320 Speaker 1: that group of people who care about team excellence. So 106 00:06:02,360 --> 00:06:03,800 Speaker 1: I have no doubt your book will be a best 107 00:06:03,839 --> 00:06:06,320 Speaker 1: seller because it's a very interesting book. But I couldn't 108 00:06:06,400 --> 00:06:09,960 Speaker 1: understand exactly whether you were saying that your culture is 109 00:06:10,000 --> 00:06:12,360 Speaker 1: one that if other companies adopted, they would do better, 110 00:06:12,600 --> 00:06:14,559 Speaker 1: or it's just that you're explaining what is so unique 111 00:06:14,600 --> 00:06:16,960 Speaker 1: about your company and why it's successful. So which is 112 00:06:17,000 --> 00:06:20,000 Speaker 1: it or is it both? I think a certain type 113 00:06:20,000 --> 00:06:23,159 Speaker 1: of company, a company in a creative industry where there's 114 00:06:23,200 --> 00:06:27,039 Speaker 1: a lot of change, will do better by optimizing for 115 00:06:27,160 --> 00:06:33,200 Speaker 1: flexibility than efficiency, and other companies, like an airline or 116 00:06:33,240 --> 00:06:37,800 Speaker 1: a factory, wants to optimize either for safety or for 117 00:06:38,040 --> 00:06:43,920 Speaker 1: manufacturing yield. So again, highly consistent results. And that's not 118 00:06:44,320 --> 00:06:48,320 Speaker 1: for this Netflix culture, but for again a company that 119 00:06:48,600 --> 00:06:51,960 Speaker 1: wants to be inventive and create new things. I think 120 00:06:52,000 --> 00:06:55,640 Speaker 1: this offers a lot of fresh ideas for people to 121 00:06:55,760 --> 00:07:01,080 Speaker 1: rethink the traditional industrial paradigm. Let's go back a little 122 00:07:01,120 --> 00:07:03,159 Speaker 1: bit to your background. So you grew up in the 123 00:07:03,200 --> 00:07:07,480 Speaker 1: Boston areas that right, Boston and d c U. And 124 00:07:07,600 --> 00:07:10,360 Speaker 1: you went to UH College at Bowden, which is a 125 00:07:10,360 --> 00:07:13,080 Speaker 1: great school. And after you graduated, what did you do? 126 00:07:13,880 --> 00:07:16,280 Speaker 1: I went in the US Peace Corps and I was 127 00:07:16,400 --> 00:07:19,400 Speaker 1: a high school math teacher UH in a very rural 128 00:07:19,440 --> 00:07:23,240 Speaker 1: part of southern Africa. And after that you decided that 129 00:07:23,280 --> 00:07:25,560 Speaker 1: you would go to business school at Stanford. What led 130 00:07:25,560 --> 00:07:27,720 Speaker 1: you to decide to go to business school? And at Stanford? 131 00:07:28,960 --> 00:07:32,680 Speaker 1: So I actually went into computer science UM, and I 132 00:07:32,720 --> 00:07:36,239 Speaker 1: tried to take a business class, but they rejected me. UM. 133 00:07:36,320 --> 00:07:41,440 Speaker 1: So Uh. In any case, UM, being at at Stanford 134 00:07:41,480 --> 00:07:46,040 Speaker 1: in the mid eighties was an incredible experience because you 135 00:07:46,160 --> 00:07:50,520 Speaker 1: learned so much entrepreneurial work from all your colleagues. Everyone's 136 00:07:50,520 --> 00:07:54,440 Speaker 1: bubbling with ideas UM. And that's still happening today forty 137 00:07:54,520 --> 00:07:58,120 Speaker 1: years later. So when you graduated from Stanford, you decided 138 00:07:58,160 --> 00:08:00,040 Speaker 1: to get into the computer industry and you were a 139 00:08:01,200 --> 00:08:04,120 Speaker 1: programmer for a while, is that right? Yeah? I was 140 00:08:04,160 --> 00:08:07,520 Speaker 1: a programmer at a couple different companies. UM. And then 141 00:08:07,560 --> 00:08:10,800 Speaker 1: I was fortunate and had an idea of something that 142 00:08:10,920 --> 00:08:13,920 Speaker 1: I really wanted to do. UM. That was in n 143 00:08:15,360 --> 00:08:17,640 Speaker 1: So he took a year off and consulted on the 144 00:08:17,680 --> 00:08:22,320 Speaker 1: side part time, and then wrote a program that ultimately 145 00:08:22,440 --> 00:08:26,560 Speaker 1: turned into a company which was a reasonable success. Uh. 146 00:08:26,760 --> 00:08:31,880 Speaker 1: Morgan Stanley took us public in it doubled every year. UH. 147 00:08:31,920 --> 00:08:35,320 Speaker 1: And that ultimately is the company that was so much 148 00:08:35,400 --> 00:08:38,600 Speaker 1: process that it got too rigid. So it was a 149 00:08:38,640 --> 00:08:41,800 Speaker 1: great learning lesson a right, So when you ultimately left 150 00:08:41,800 --> 00:08:44,679 Speaker 1: that company after taking a public and ultimately merging with 151 00:08:44,720 --> 00:08:47,760 Speaker 1: somebody else, you had the idea of starting what is 152 00:08:47,800 --> 00:08:50,720 Speaker 1: now on Netflix. Is that right? Yeah? I mean the 153 00:08:50,800 --> 00:08:55,640 Speaker 1: timing was shortly thereafter um that a colleague of mine 154 00:08:56,120 --> 00:09:01,160 Speaker 1: from uh pure Mark Randolph and I we're brainstorming on 155 00:09:01,280 --> 00:09:04,800 Speaker 1: different ideas and then, you know, like many people at 156 00:09:04,840 --> 00:09:07,920 Speaker 1: that point, I had had this terrific late fee and 157 00:09:08,000 --> 00:09:10,480 Speaker 1: so it was, you know, thinking it has to be 158 00:09:10,520 --> 00:09:13,400 Speaker 1: a better way. And then it's when this friend told 159 00:09:13,400 --> 00:09:16,960 Speaker 1: me about DVD that I realized, oh, you could mail 160 00:09:17,080 --> 00:09:20,600 Speaker 1: those cheaply, and that you could potentially build a business 161 00:09:20,640 --> 00:09:24,480 Speaker 1: there that was not in Amazon's direct interest because of 162 00:09:24,520 --> 00:09:28,080 Speaker 1: the return loop that you constantly returned these DVDs, which 163 00:09:28,160 --> 00:09:31,920 Speaker 1: was unlike Amazon's core. So it was e commerce, but 164 00:09:32,200 --> 00:09:36,600 Speaker 1: you know, a smaller market than what Amazon was going after. 165 00:09:37,040 --> 00:09:40,880 Speaker 1: The story is that you took out some DVDs I 166 00:09:40,880 --> 00:09:44,680 Speaker 1: guess from Blockbuster. You've found out that you had kept 167 00:09:44,679 --> 00:09:46,600 Speaker 1: them too long, you didn't like paying the late fee, 168 00:09:46,840 --> 00:09:48,840 Speaker 1: and that prompted you to think of something like this. 169 00:09:48,920 --> 00:09:51,480 Speaker 1: Is that fair or is that just apocryphal? No, that's 170 00:09:51,520 --> 00:09:54,840 Speaker 1: accurate Um, but it you know, sort of says every 171 00:09:54,840 --> 00:09:57,320 Speaker 1: time something goes wrong. The idea didn't pop into my 172 00:09:57,360 --> 00:09:59,800 Speaker 1: head right then. It was later, you know, when I 173 00:10:00,320 --> 00:10:04,439 Speaker 1: debating ideas that you know that the sting of that 174 00:10:04,600 --> 00:10:07,800 Speaker 1: stuck because it was a forty dollar late fee, so 175 00:10:08,240 --> 00:10:10,560 Speaker 1: you know, and it was all my fault, um, of 176 00:10:10,920 --> 00:10:14,280 Speaker 1: just not breaking it back. So originally you're you're mailing 177 00:10:14,360 --> 00:10:18,080 Speaker 1: DVDs back and forth. But the idea of streaming, who 178 00:10:18,120 --> 00:10:20,120 Speaker 1: came up with the idea that that would be better? 179 00:10:20,600 --> 00:10:23,480 Speaker 1: And was streaming that prevalent then or that common or 180 00:10:23,480 --> 00:10:26,640 Speaker 1: people knew what it was. Yeah, people knew what it was. 181 00:10:26,760 --> 00:10:30,760 Speaker 1: And you know, I had had the good fortune. Um. 182 00:10:31,000 --> 00:10:33,360 Speaker 1: The year I came back from the Peace Corps, so 183 00:10:33,480 --> 00:10:37,120 Speaker 1: that's mid eighties now, Um, I got a job serving 184 00:10:37,200 --> 00:10:41,480 Speaker 1: coffee at a company. And it turned out that that company, 185 00:10:41,480 --> 00:10:45,880 Speaker 1: a Computer Lab, was the very first dot com. So 186 00:10:46,000 --> 00:10:48,199 Speaker 1: there were no dot COM's at all, and then there 187 00:10:48,280 --> 00:10:50,640 Speaker 1: was the first one, and that was this company's Symbolics 188 00:10:50,679 --> 00:10:53,680 Speaker 1: dot com. And so this was a company out of 189 00:10:53,880 --> 00:10:56,360 Speaker 1: m I T that was like the hotbed of the Internet, 190 00:10:56,400 --> 00:10:59,400 Speaker 1: but nobody knew the internet, um, And so there I 191 00:10:59,480 --> 00:11:02,800 Speaker 1: was serving coffee soaking up the culture and how they thought. 192 00:11:03,480 --> 00:11:08,760 Speaker 1: And so when I eventually, you know, went on to Stanford, Uh, 193 00:11:08,800 --> 00:11:12,080 Speaker 1: you know, I was in the Internet thing um and 194 00:11:12,120 --> 00:11:14,520 Speaker 1: then had been part of that in tracking that for 195 00:11:14,559 --> 00:11:18,960 Speaker 1: a decade. Uh when it was a decade when Netscape 196 00:11:18,960 --> 00:11:22,240 Speaker 1: went public and everyone else tuned into it. So, I 197 00:11:22,280 --> 00:11:25,559 Speaker 1: mean some of that, again is just incredible serendipity of 198 00:11:25,880 --> 00:11:28,080 Speaker 1: you know, what's the company that I got a job 199 00:11:28,120 --> 00:11:31,720 Speaker 1: serving coffee in the computer lab. Well, originally you would 200 00:11:31,720 --> 00:11:35,600 Speaker 1: take programming that site Disney or NBC or ABC or 201 00:11:35,640 --> 00:11:38,160 Speaker 1: somebody had, and you would or movies and you would 202 00:11:38,200 --> 00:11:39,720 Speaker 1: put it up and people would pay for it, and 203 00:11:39,720 --> 00:11:42,320 Speaker 1: you would pay the the people who produced it, I 204 00:11:42,320 --> 00:11:45,640 Speaker 1: assumed some royalty. When did the lightbulb go off and 205 00:11:45,679 --> 00:11:49,360 Speaker 1: you said, no, we need to have original programming. Well, 206 00:11:49,400 --> 00:11:52,720 Speaker 1: Ted was intimately familiar with the history of cable television, 207 00:11:53,000 --> 00:11:56,880 Speaker 1: and right from the beginning he educated us on HBO's path, 208 00:11:57,440 --> 00:11:59,959 Speaker 1: which their first twenty years in the eighties and nine, 209 00:12:00,080 --> 00:12:03,760 Speaker 1: these they just had recycled programming, and then with shows 210 00:12:03,800 --> 00:12:08,160 Speaker 1: like Sopranos and The Wire, Uh, they moved into original programming. 211 00:12:08,240 --> 00:12:10,719 Speaker 1: And what a difference it made for them. So we 212 00:12:10,720 --> 00:12:13,280 Speaker 1: were very aware of that history, and then it was 213 00:12:13,360 --> 00:12:15,920 Speaker 1: just a matter of biding time until we got big enough. 214 00:12:16,400 --> 00:12:19,840 Speaker 1: So today the original programming that you have is that 215 00:12:19,960 --> 00:12:23,200 Speaker 1: more popular than the non original that you're in effect 216 00:12:23,320 --> 00:12:27,400 Speaker 1: renting from somebody else. Yeah, that's right. The original programming 217 00:12:27,720 --> 00:12:32,320 Speaker 1: um driving the Old Guard, our our newest movie, Kissing 218 00:12:32,360 --> 00:12:37,920 Speaker 1: Booth two, an amazing movie. Our series like India Matchmaking 219 00:12:38,040 --> 00:12:42,640 Speaker 1: or Umbrella Academy are all driving both the viewing and 220 00:12:42,720 --> 00:12:47,880 Speaker 1: the membership growth. So we're fundamentally an original content business 221 00:12:47,920 --> 00:12:51,680 Speaker 1: that supplements with licensed content around the world. Why is 222 00:12:51,720 --> 00:12:55,040 Speaker 1: it that on Netflix, you your your content is very popular, 223 00:12:55,080 --> 00:12:58,160 Speaker 1: but you don't do things like news or sports. How 224 00:12:58,200 --> 00:13:01,800 Speaker 1: come you haven't done those yet? Well those are great areas, 225 00:13:01,800 --> 00:13:04,480 Speaker 1: but they're well covered by other companies. And we have 226 00:13:04,600 --> 00:13:09,280 Speaker 1: so much more we want to do on series and films, 227 00:13:09,440 --> 00:13:12,520 Speaker 1: and we're you know, breaking in the animated films and series. 228 00:13:12,559 --> 00:13:17,960 Speaker 1: Now we've done really well with unscripted reality programming like 229 00:13:18,080 --> 00:13:21,800 Speaker 1: India Matchmaking that I mentioned and Love is Blind, Tiger King. 230 00:13:22,440 --> 00:13:25,720 Speaker 1: So our hands are just full. And again there's other 231 00:13:25,760 --> 00:13:28,680 Speaker 1: companies doing other things, and you know, we just want 232 00:13:28,679 --> 00:13:31,760 Speaker 1: to focus on entertainment and when House of Cards was 233 00:13:31,840 --> 00:13:35,640 Speaker 1: on Netflix. UM, did you suggest themes for it or 234 00:13:35,760 --> 00:13:38,240 Speaker 1: plot lines or did you ever get involved in that 235 00:13:38,320 --> 00:13:40,120 Speaker 1: or you stay away from what they're actually gonna do 236 00:13:40,160 --> 00:13:42,760 Speaker 1: on the on the show, our book really talks about 237 00:13:42,800 --> 00:13:45,800 Speaker 1: don't please the boss, do what's right for Netflix. And 238 00:13:45,920 --> 00:13:51,280 Speaker 1: because of that, Ted Sarandos when he was negotiating UM 239 00:13:51,320 --> 00:13:54,800 Speaker 1: with House of Cards with Kevin Spacey and David Fincher, 240 00:13:55,400 --> 00:13:58,120 Speaker 1: he was willing to do very bold things because he 241 00:13:58,200 --> 00:14:01,280 Speaker 1: was convinced it was right UM. And so he paid 242 00:14:01,280 --> 00:14:04,360 Speaker 1: a fortune and guarantee two seasons, which at that point 243 00:14:04,440 --> 00:14:07,319 Speaker 1: no one had done, and he only told me about 244 00:14:07,360 --> 00:14:11,800 Speaker 1: it later. And so his willingness to make big, independent 245 00:14:11,840 --> 00:14:15,280 Speaker 1: decisions it's what led to us getting House of Cards. 246 00:14:15,840 --> 00:14:17,679 Speaker 1: And of course he could have been wrong and it 247 00:14:17,760 --> 00:14:20,760 Speaker 1: could have been a disaster, but it was a great 248 00:14:20,840 --> 00:14:24,400 Speaker 1: series put us on the map. And that's again somewhat 249 00:14:24,400 --> 00:14:27,960 Speaker 1: testament to Ted's personal skill, but also to the culture 250 00:14:28,080 --> 00:14:31,160 Speaker 1: that allowed him to make those decisions. And so when 251 00:14:31,200 --> 00:14:34,760 Speaker 1: you started winning UM Academy Awards and Emmy Awards and 252 00:14:34,800 --> 00:14:36,800 Speaker 1: other things like that, was that a surprise to you 253 00:14:37,040 --> 00:14:40,640 Speaker 1: that you were getting it that kind of recognition. No, are. 254 00:14:40,800 --> 00:14:43,520 Speaker 1: We've always wanted to work with great talent, and right 255 00:14:43,560 --> 00:14:46,240 Speaker 1: from the beginning, UM, we knew that like with House 256 00:14:46,280 --> 00:14:49,200 Speaker 1: of Cards, that the talent that was involved in that, 257 00:14:49,360 --> 00:14:53,400 Speaker 1: Robin Right and Kevin Spacey. You know, we're potential to 258 00:14:53,440 --> 00:14:57,200 Speaker 1: win Emmy nominations for that. So if you if you 259 00:14:57,320 --> 00:15:00,280 Speaker 1: back great talent, they they will win a war and 260 00:15:00,320 --> 00:15:04,760 Speaker 1: it's you know, very life changing for them. For consumers, um, 261 00:15:04,800 --> 00:15:07,480 Speaker 1: you know, it doesn't matter as much they're not as visible, 262 00:15:07,520 --> 00:15:11,720 Speaker 1: but in the talent ecosystem, it's it's very significant. Recently, 263 00:15:11,720 --> 00:15:14,200 Speaker 1: you made an announcement that stunned a number of people, 264 00:15:14,400 --> 00:15:18,520 Speaker 1: which was that you were bringing in your chief Content Officer, 265 00:15:18,640 --> 00:15:21,360 Speaker 1: Ted Sarandos, who has been with you for twenty plus years, 266 00:15:21,400 --> 00:15:24,280 Speaker 1: almost from the beginning, and making him the co CEO. 267 00:15:24,480 --> 00:15:26,920 Speaker 1: Usually people who are CEOs and founders don't all of 268 00:15:26,960 --> 00:15:29,280 Speaker 1: a sudden give up a lot of power. So why 269 00:15:29,280 --> 00:15:31,240 Speaker 1: did you decide to do that and were you surprised 270 00:15:31,280 --> 00:15:34,200 Speaker 1: that the reaction was a bit of a surprise. You know, 271 00:15:34,720 --> 00:15:37,120 Speaker 1: Ted and I have worked together for twenty years and 272 00:15:37,160 --> 00:15:41,160 Speaker 1: we've been virtual co CEOs for the last several years. UM, 273 00:15:41,360 --> 00:15:44,080 Speaker 1: so we've been paid the same you know, we don't 274 00:15:44,200 --> 00:15:47,200 Speaker 1: do really do anything material without checking in with each other, 275 00:15:47,640 --> 00:15:51,000 Speaker 1: So this was just acknowledging and formalizing you know what 276 00:15:51,160 --> 00:15:54,720 Speaker 1: has been and so externally you know it's a change 277 00:15:55,040 --> 00:15:57,680 Speaker 1: and that helps on ted stature and ability to do 278 00:15:57,800 --> 00:16:01,480 Speaker 1: big deals. But internally it's really no change at all 279 00:16:01,640 --> 00:16:05,360 Speaker 1: from how we've been operating. At the time of the announcement, 280 00:16:05,400 --> 00:16:09,200 Speaker 1: you said you were good for another decade, so uh 281 00:16:09,200 --> 00:16:11,400 Speaker 1: and October, if I got it right, you'll turn the 282 00:16:11,400 --> 00:16:15,800 Speaker 1: big six. Oh, and that I'll mean by seventy you 283 00:16:15,880 --> 00:16:19,200 Speaker 1: might be ready to slow down. Is that a fair assessment? Well, 284 00:16:19,240 --> 00:16:22,720 Speaker 1: you tell me how, what's your experience in that of 285 00:16:23,120 --> 00:16:27,200 Speaker 1: uh sixty to seven? D right? I would say workaholics 286 00:16:27,240 --> 00:16:30,080 Speaker 1: don't really pay much attention to age, and so as 287 00:16:30,080 --> 00:16:31,600 Speaker 1: long as your health is good, I don't think you'll 288 00:16:31,680 --> 00:16:33,920 Speaker 1: change that much. But when you get seventy you might 289 00:16:33,960 --> 00:16:35,840 Speaker 1: look around and say, maybe i'll do something else. But 290 00:16:36,120 --> 00:16:38,200 Speaker 1: you've got a long ten years ahead of you. I 291 00:16:38,280 --> 00:16:40,760 Speaker 1: suspect I'm sure you'll be in great health to do it. Well. 292 00:16:40,760 --> 00:16:43,760 Speaker 1: I'm super excited about it. There's so much that we 293 00:16:43,840 --> 00:16:47,040 Speaker 1: can do in terms of bringing the world together, sharing 294 00:16:47,120 --> 00:16:51,120 Speaker 1: stories from around the world. Um and uh, you know 295 00:16:51,160 --> 00:16:54,520 Speaker 1: there's just as the Internet grows to you know, every 296 00:16:54,600 --> 00:16:58,240 Speaker 1: human being. I think there's just an amazing opportunity I had. 297 00:16:59,760 --> 00:17:03,000 Speaker 1: You and your wife recently made a contribution to United 298 00:17:03,040 --> 00:17:05,639 Speaker 1: Negro collec College Fund and to Morehouse College and a 299 00:17:05,720 --> 00:17:08,320 Speaker 1: Spellman College. Why did you decide to do that? Is 300 00:17:08,359 --> 00:17:13,920 Speaker 1: that not your largest philanthropic contribution anyone, uh gift, No, 301 00:17:14,119 --> 00:17:18,359 Speaker 1: it's not the largest, but it, um, it's the loudest 302 00:17:18,520 --> 00:17:20,439 Speaker 1: or sort of the most public. We tend to mostly 303 00:17:20,480 --> 00:17:23,320 Speaker 1: be very quiet about these things, but we wanted to 304 00:17:23,400 --> 00:17:28,680 Speaker 1: show solidarity, um, for black education, and black education is 305 00:17:28,720 --> 00:17:35,199 Speaker 1: so critical to economic mobility, political mobility, and you know, 306 00:17:35,240 --> 00:17:39,240 Speaker 1: the sense of belonging and the challenge you know, for 307 00:17:39,359 --> 00:17:42,840 Speaker 1: us as a culture is really the legacy of slavery 308 00:17:43,000 --> 00:17:46,960 Speaker 1: and it continues to be a tremendous scar across the 309 00:17:47,000 --> 00:17:51,080 Speaker 1: soul of America. Uh. And it's you know, awful, and 310 00:17:51,359 --> 00:17:53,719 Speaker 1: it's so bad that it's hard to look at and 311 00:17:53,760 --> 00:17:56,920 Speaker 1: talk about and it's so hard to look away. And 312 00:17:57,040 --> 00:18:00,280 Speaker 1: we really haven't come to terms with the legas see 313 00:18:00,359 --> 00:18:04,960 Speaker 1: of slavery in our country. So this you know, modest 314 00:18:04,960 --> 00:18:09,880 Speaker 1: donation again relative to the needs is really about, um, 315 00:18:09,920 --> 00:18:16,000 Speaker 1: you know, black economic gains and education. So the story 316 00:18:16,040 --> 00:18:18,000 Speaker 1: that I read was that you were originally considering a 317 00:18:18,040 --> 00:18:20,920 Speaker 1: gift of maybe one tenth at size, and then the 318 00:18:21,040 --> 00:18:23,639 Speaker 1: last minute you increased it. Uh. When you called the 319 00:18:23,640 --> 00:18:26,280 Speaker 1: head of the United Negro College Fund, was he surprised 320 00:18:26,359 --> 00:18:29,240 Speaker 1: or what made you change your mind? Well, I've known 321 00:18:29,280 --> 00:18:32,400 Speaker 1: the head of u n c F for a decade UM, 322 00:18:32,520 --> 00:18:37,600 Speaker 1: and he's taught me a lot about race in America. UM, 323 00:18:37,640 --> 00:18:41,000 Speaker 1: and we've been a donor for a number of years. UM. 324 00:18:41,040 --> 00:18:44,480 Speaker 1: But it was really the current time UM that got 325 00:18:44,560 --> 00:18:47,640 Speaker 1: us to make such a substantial and frankly public donation 326 00:18:48,440 --> 00:18:53,480 Speaker 1: UM to again bring attention to the role of the HBCUs, 327 00:18:53,640 --> 00:18:58,600 Speaker 1: the historically black colleges and universities UM like Morehouse and 328 00:18:58,720 --> 00:19:02,120 Speaker 1: Spellman UH, and to support their work because they do 329 00:19:02,880 --> 00:19:07,720 Speaker 1: develop UM you know, thousands and thousands of black leaders 330 00:19:07,720 --> 00:19:11,640 Speaker 1: throughout this country, and they're really positive part of our 331 00:19:11,800 --> 00:19:16,399 Speaker 1: education system. And because white capital tends to flow to 332 00:19:16,520 --> 00:19:21,800 Speaker 1: white organizations. UM. You know, there's relative capital isolation in 333 00:19:21,840 --> 00:19:26,320 Speaker 1: the same way that we have social isolation, and so UM, 334 00:19:26,359 --> 00:19:29,200 Speaker 1: you know, we wanted to be part of building those bridges. 335 00:19:29,600 --> 00:19:31,919 Speaker 1: Now the industry that I've been in. The financial service 336 00:19:31,960 --> 00:19:34,560 Speaker 1: industry is not replete with as much success as it 337 00:19:34,600 --> 00:19:37,760 Speaker 1: would like in terms of minority hiring, and the technology 338 00:19:37,760 --> 00:19:40,640 Speaker 1: industry is probably somewhat that way as well. Is there 339 00:19:40,680 --> 00:19:42,880 Speaker 1: something that you can do with Netflix to enhance your 340 00:19:42,920 --> 00:19:46,760 Speaker 1: minority hiring it among the executives and other employees. Well, 341 00:19:46,800 --> 00:19:50,160 Speaker 1: we we published the data and we've made every quarter 342 00:19:50,240 --> 00:19:53,440 Speaker 1: and we've made great progress, and we've doubled our number 343 00:19:53,480 --> 00:19:57,240 Speaker 1: of African American employees over the last three years. And 344 00:19:57,440 --> 00:20:00,080 Speaker 1: you know that's throughout the business, but in particular in 345 00:20:00,119 --> 00:20:04,840 Speaker 1: the media side. Our tech side is still underrepresented, you know, 346 00:20:05,680 --> 00:20:08,320 Speaker 1: as is in the field. Um, so we have a 347 00:20:08,359 --> 00:20:10,800 Speaker 1: long way to go, but we're you know, trying to 348 00:20:10,840 --> 00:20:14,359 Speaker 1: make those efforts not only again for African Americans, but 349 00:20:14,400 --> 00:20:19,240 Speaker 1: for many underrepresented groups both in America and frankly around 350 00:20:19,240 --> 00:20:22,280 Speaker 1: the world. So people who are watching this will say, Okay, 351 00:20:22,400 --> 00:20:24,680 Speaker 1: I want to be like Reed Hastings. I want to 352 00:20:24,720 --> 00:20:27,679 Speaker 1: build a great company. I want to be successful, have 353 00:20:27,760 --> 00:20:31,960 Speaker 1: a great family, philanthropically active. What would you say is 354 00:20:31,960 --> 00:20:34,520 Speaker 1: the key to leadership that enabled you to be what 355 00:20:34,600 --> 00:20:38,160 Speaker 1: you are today? It's about achievement of the company as 356 00:20:38,200 --> 00:20:41,959 Speaker 1: opposed to personal achievement. So you want to be super 357 00:20:42,040 --> 00:20:47,159 Speaker 1: proud of the organization and personally humble. So, UM, I 358 00:20:47,200 --> 00:20:50,520 Speaker 1: assume you hear from your high school classmates, your college classmates, 359 00:20:50,520 --> 00:20:52,679 Speaker 1: your Stanford classmates telling you they always knew you were 360 00:20:52,680 --> 00:20:55,560 Speaker 1: going to be successful and they weren't surprised and by 361 00:20:55,600 --> 00:20:57,240 Speaker 1: the way, they have a script for you or something 362 00:20:57,320 --> 00:20:59,000 Speaker 1: like that. Um. Do you hear from a lot of 363 00:20:59,040 --> 00:21:02,080 Speaker 1: people like that? Yeah, I stay in touch with a 364 00:21:02,119 --> 00:21:05,720 Speaker 1: lot of friends that way. Um. And you know, I 365 00:21:05,840 --> 00:21:08,879 Speaker 1: was definitely a late bloomer. Um. I don't think I 366 00:21:08,960 --> 00:21:10,919 Speaker 1: was one of those people that was marked at an 367 00:21:10,960 --> 00:21:13,560 Speaker 1: early age. And you know where you read about how 368 00:21:13,560 --> 00:21:17,320 Speaker 1: at age sixteen they were like unbelievable. Um. You know, 369 00:21:17,440 --> 00:21:21,560 Speaker 1: I was very average, run of the mill kid. Um. 370 00:21:21,720 --> 00:21:25,919 Speaker 1: And um. You know, I've been super fortunate with a 371 00:21:25,960 --> 00:21:28,840 Speaker 1: series of events in terms of my first company doing well, 372 00:21:29,160 --> 00:21:31,960 Speaker 1: having that idea, which then laddered into being able to 373 00:21:32,000 --> 00:21:37,520 Speaker 1: do Netflix. Um. So I feel incredibly fortunate, which is 374 00:21:37,600 --> 00:21:40,760 Speaker 1: part of why my wife Patty and I, you know, 375 00:21:40,760 --> 00:21:44,479 Speaker 1: were so dedicated on philanthropy. It's sort of looked, you know, 376 00:21:44,640 --> 00:21:47,480 Speaker 1: like it seems to us miraculous that you know, we 377 00:21:47,560 --> 00:21:49,919 Speaker 1: have this money and and of course we live a 378 00:21:50,000 --> 00:21:53,679 Speaker 1: very comfortable life, but it's really the excitement of using 379 00:21:53,720 --> 00:21:57,160 Speaker 1: that money to then help others. So let's suppose ten 380 00:21:57,240 --> 00:22:00,560 Speaker 1: years from now, when you say you might hang up 381 00:22:00,560 --> 00:22:04,160 Speaker 1: your spurs at Netflix, you might. You're not committed to it. Uh, 382 00:22:04,200 --> 00:22:06,480 Speaker 1: what might you do? Would you run for office? Do 383 00:22:06,480 --> 00:22:08,159 Speaker 1: you want to be president United States? You want to 384 00:22:08,160 --> 00:22:11,240 Speaker 1: be a senator, governor, philanthropy teaching? What do you think 385 00:22:11,240 --> 00:22:12,719 Speaker 1: you might want to do when you turn the right? 386 00:22:12,760 --> 00:22:14,800 Speaker 1: Bolt age of seventy? And I want to have my 387 00:22:14,840 --> 00:22:18,959 Speaker 1: own interview show? Um, well, I'm sure you could get 388 00:22:19,000 --> 00:22:21,600 Speaker 1: that anytime you want one. I know a good uh 389 00:22:21,720 --> 00:22:25,520 Speaker 1: company you could probably get on Netflix. That was read Hastings, 390 00:22:25,520 --> 00:22:28,800 Speaker 1: co CEO of Netflix, on the David Rubinstein Show Peer 391 00:22:28,840 --> 00:22:33,320 Speaker 1: to Peer Conversations. And that is it for Bloomberg Best. 392 00:22:33,560 --> 00:22:38,280 Speaker 1: I'm at Baxter and Denise Pelligrini and this is Bloomberg